Host of Big Data and Managing in a Digital Economy
We accelerate innovative thinking into practice
2//"620&+"00 %,,) +02--,/16,2&+ +2* "/,#4 60Ǿ,ƛ"/&+$ǿ
• "001,-&,+""/&+$/"0" / % /,001%"+&3"/0&16 • +,4)"!$"/ +0#"/ /1+"/0%&-0 • $&)"&++,3 1&,+ +! ,+02)1 + 6&+,2/20&+"00 +0&$%10 • "*&+ /0 +!+"14,/(&+$,--,/12+&1&"0 • 5" 21&3"!2 1&,+-/,$/ **"0 • 20&+"00Ȓ/" !6$/ !2 1"0
Discover more: "1&+1,2 %ǿ surrey.ac.uk/sbs [email protected] TABLE OF CONTENTS
TABLE OF CONTENTS
WELCOME FROM THE ACADEMY OF MANAGEMENT 3
ACKNOWLEDGMENTS & SPECIAL THANKS 4
CONFERENCE SPONSORS 5
CONFERENCE HIGHLIGHTS 9
WI-FI INFORMATION 13
MAPS & LOCAL INFORMATION University of Surrey Campus Map 15
Guildford Guide 19
CONFERENCE PROGRAM OVERVIEW 25
CONFERENCE PROGRAM SCHEDULE Wednesday, April 18, 2018 26 Thursday, April, 19, 2018 34 Friday, April 20, 2018 62
CONFERENCE PROGRAM PARTICIPANTS 84 WELCOME FROM THE ACADEMY OF MANAGEMENT
WELCOME TO THE ACADEMY OF MANAGEMENT SPECIALIZED CONFERENCE ON BIG DATA AND MANAGING IN A DIGITAL ECONOMY!
+ "% )#,#1%"$), )*"* "/0Ǿ)" !"/0Ǿ3,)2+1""/0 +!01 ƛ4%,0""ƛ,/10/"02)1"!&+1%&0"5 &1&+$+"4 -/,$/ *Ǿ4" /"-)" 0"!1,4") ,*"6,21,1%" !"*6,# + $"*"+1-" & )&7"!,+#"/"+ ",+Big Data and Managing in a Digital Economy!
Our conference theme ,+0&!"/01% 11%"!&$&1 )-%"+,*"+,+&0*2)1&# "1"! +! ƛ" 10%,44"4,/( +! %,44",/$ +&7"ǽ 1 % +$"01%"4 6,/$ +&7 1&,+0 ,*-"1" +!&++,3 1"ǽ 11%/" 1"+0),+$Ȓ) 01&+$ 20&+"00 *,!")0 +!,-"+02-+"44 60,# /" 1&+$ +! -12/&+$3 )2"ǽ&$! 1 +!!&$&1 )1" %+,),$&"0% 3"% ! +&*- 1,+1%"*,!"/+4,/(-) " +!01&*2) 1"!1%""3,)21&,+,#+"4#,/*0,#* + $"*"+1ǽ002 %Ǿ&1 &0+,1,+)6 )" /)6/")"3 +1#,/"5" 21&3"0Ǿ 21 )0, "+1/ ))6&*-,/1 +1#,/* + $"*"+10 %,) /0ǽ
" /""5 &1"!1,"5-),/"1%"0"&*-,/1 +1 +!1&*")61,-& 01%/,2$% 01&*2) 1&+$ +!"+$ $&+$ ,+#"/"+ " -/,$/ *ǽ + !!&1&,+1, 2+&.2",ƛ"/&+$,#&+1"/ 1&3"121,/& )0Ǿ1%"0 %,) /)6-/,$/ *4 0!"3"),-"! 6 &+3&1&+$02 *&00&,+01,0&51/ (1%"*"0Ǿ ,Ȓ!"3"),-"! 6nine of the Academy’s Divisions & Interest Groupsǽ%"Ɯ+ )-/,$/ *Ǿ%,4"3"/Ǿ!,"0+,1 1"$,/&7"0"00&,+0,//"01/& 10"00&,+ 11"+! + " 6 !&3&0&,+ )!,* &+0,/1/ (0ǽ %,#1%"0"1/ (1%"*"04 0!"0&$+"!1, ",#&+1"/"01 +!/")"3 + "1, *,/"1% +,+"!,* &+ +!2)1&* 1")6 0,/ "!&+1,1%" /, !"/ ,+#"/"+ "-/,$/ *Ǿ&+)&+"4&1%1%" /,00Ȓ !&0 &-)&+ /6"1%,0,#1%" ,+#"/"+ "ǽ
%&00-" & )&7"! ,+#"/"+ ",ƛ"/0* +6,--,/12+&1&"0#,/*,/"1% +ǘǚǕ 11"+!""0#/,*,3"/ǘǕ ,2+1/&"0 1,- /1& &- 1"Ǿ ,)) ,/ 1"Ǿ+"14,/( +!)" /+ǽ
x On WednesdayǾ6,2/ ,+#"/"+ ""5-"/&"+ " "$&+04&1% +,--,/12+&161,explore the 5G Innovation Centre +!,1%"/+&3"/0&16,#2//"6# &)&1&"00%,4 0&+$cutting-edge research and use of Big Data in veterinary health and space and satellite technologyǽ%"0""+$ $&+$ 1,2/04&)) "#,)),4"! 6 0"/&"0,#hands-on active learning workshops and a welcome receptionǽ!, 1,/ ) ,+0,/1&2*&0 )0,0 %"!2)"!,+"!+"0! 6ǽ
x Your Thursday and Friday-/,$/ *04&))#" 12/"keynote presentations from Paul Mang (Senior !3&0"/ +!#,/*"/ ), ),#+ )61& 0 1,+Ȝ and Nuria Oliverț&/" 1,/,#"0" / %&+ 1 &"+ " 1,! #,+" +!%&"# 1 &"+1&01 1 1 Ȓ,-))& + "ȜǾ 04")) 0 +"5 &1&+$*&5,# multi-disciplinary symposia and paper sessionsǽ" )0,&+3&1"6,21,',&+20for a Gala Dinner on ThursdayǾ4%& %4&))&+ )2!" ),3")6"3"+&+$,#+"14,/(&+$Ǿ%,01"!"+1"/1 &+*"+1Ǿ +! featured keynote presentation from Cassie Kozyrkovț%&"#" &0&,+ &"+1&01 1 ,,$)"Ȝǽ
"%,-"1% 16,2% 3" # 2),20 ,+#"/"+ ""5-"/&"+ " +!),,(#,/4 /!1, ,++" 1&+$ +!)" /+&+$4&1% you at the University of Surrey in Guildford!
++ "))" 4"/ %/&01,-%"/ǽ2 & Conference Co-Chair Conference Co-Chair
Page | 3 BIG DATA AND MANAGING IN A DIGITAL ECONOMY ACKNOWLEDGMENTS & SPECIAL THANKS
ACADEMY OF MANAGEMENT SPECIALIZED CONFERENCE BIG DATA AND MANAGING IN A DIGITAL ECONOMY - CONFERENCE ORGANIZERS
CONFERENCE CO-CHAIRS: Annabelle Gawer, University of Surrey Christopher L. Tucci, Ecole Polytechnique Fédérale de Lausanne (EPFL)
CONFERENCE STEERING COMMITTEE: David G. Allen, Texas Christian University; Warwick University Alberto Aragon-Correa, University of Granada Michael Barnett, Rutgers Business School Alexandra Gerbasi, University of Exeter Søren H. Jensen, Copenhagen Business School Candace Jones, University of Edinburgh Aija Leiponen, Cornell University Deepak Somaya, University of Illinois at Urbana-Champaign Mary Beth Watson-Manheim, University of Illinois at Chicago
CONFERENCE TRACK CHAIRS: Sabine Brunswicker, Purdue University Sandra Fisher, Clarkson University Søren H. Jensen, Copenhagen Business School Candace Jones, University of Edinburgh Aija Leiponen, Cornell University Janet Marler, University at Albany - SUNY Karen A. Schnatterly, University of Missouri
CONFERENCE ACTIVE LEARNING WORKSHOP CHAIR: Alexandra Gerbasi, University of Exeter
CONFERENCE DOCTORAL CONSORTIUM CHAIRS: Tanya Bondarouk, University of Twente Margaret White, Maynooth University
DIVISIONS & INTEREST GROUPS: Human Resources (HR), Management Consulting (MC), Organizational Behavior (OB), Organizational Communication & Information Systems (OCIS), Organization & Management Theory (OMT), Organizations & the Natural Environment (ONE), Social Issues in Management (SIM), Strategic Management (STR), Technology & Innovation Management (TIM)
HOST INSTITUTION: University of Surrey
HOST INSTITUTION ORGANIZING COMMITTEE: Abigail Bradbeer, Emma Clear, Jennifer Ratnayaka, Ansgar Richter, Pina Stamp, Emily Taylor
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 4 CONFERENCESPONSOR INFORMATION SPONSORS THURSDAY ∙ 19 APRIL THURSDAY ∙ 19 APRIL SURREY BUSINESS SCHOOL, UNIVERSITY OF SURREY
Surrey Business School is delighted to be hosting the Academy of Management Specialized Conference - Big Data and Managing in a Digital Economy. We would like to extend our warmest welcome to all delegates and wish you an informative, productive and enjoyable time at the conference. University of Surrey - a top ten university The University of Surrey is one of the UK’s top professional, scientific and technological universities. Named as The Times and Sunday Times University of the Year 2016, Surrey has a world-class profile and a leading reputation in teaching and research. Collaboration and Research Excellence Surrey is a world-class, research-led university, committed to research excellence. Through collaboration with the wider university and our worldwide partners, we are addressing key global challenges. There are plenty of opportunities for collaboration and shared learning across the university, with Surrey being home to:
The 5G Innovation Centre - The largest UK academic research centre dedicated to the development of the next generation of mobile and wireless communications.
Surrey Research Park - Supporting inventive business ideas as a major centre of excellence in technology, science, health and engineering.
Surrey Incubation - One of the most successful Science Parks in Europe. As a Founding Member of the SETsquared Partnership, they support high-growth technology businesses.
SURREY BUSINESS SCHOOL A bit about us… At Surrey Business School we accelerate innovative thinking into practice – investing in pioneering world-class research to deliver business-ready solutions that offer an immediate and lasting impact in the world. We’re dedicated to improving business practice and creating sustainable, positive change – while inspiring others to do the same. The Business School acts as a catalyst to propel the ground-breaking business ideas into the market quickly and drawing out real value effectively. Everything we put into practice in business, is underpinned by solid theoretical frameworks; through our collaborations within the university and industry, we have built a dynamic and resourceful community.
Digital Advancements Our pioneering research stems from real-world business application, connected with the latest industry developments. VHive Partnership
Page | 5 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE SPONSORS
Spearheading Surrey Business School’s digital innovation is our Centre for the Digital Economy (CoDE). The Centre is at the forefront of measuring the effects and implications of digital innovation across multiple industries and disciplines.
Partnering with Zoetis, one of the world’s leading animal health companies, and the University’s School of Veterinary Medicine and 5G Innovation Centre (5GIC), CoDE have launched VHive, a centre for digital innovation to advance e-Animal Health initiatives.
x Business Insights Lab
We have cultivated a unique space enabling fast-paced business engagement and interdisciplinary collaboration.
Our Lab conducts experiments on the latest digital business models and ideas, using agile innovation methodology to bridge knowledge gaps as businesses create, refine and implement their strategies.
GOOGLE CLOUD PLATFORM
Google Cloud Platform enables developers to build, test, and deploy applications on Google’s highly scalable and reliable infrastructure. Google Cloud Platform frees you from the overhead of managing infrastructure, provisioning servers and configuring networks. To let innovators innovate and let coders just code. Learn more about Google Cloud Platform at https://cloud.google.com
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 6 CONFERENCE SPONSORS
ʱǖǞ TABLEAU
Data is everywhere. But it can be hard to make sense of it all. Tableau helps people transform data into actionable insights that make an impact. Easily connect to data stored anywhere, in any format. Quickly perform ad hoc analyses that reveal hidden opportunities. Drag and drop to create interactive dashboards with advanced visual analytics. Then share across your organization and empower teammates to explore their perspective on data. From global enterprises to early-stage startups and small businesses, people everywhere use Tableau’s analytics platform to see and understand their data.
FGV´S RAE-JOURNAL OF BUSINESS MANAGEMENT
RAE-Revista de Administração de Empresas (Journal of Business Management) was launched in 1961 and is considered one of the pioneering journals in the field of administration in Brazil. Published by FGV´s Sao Paulo School of Business Administration (EAESP) it is a peer-reviewed journal, and its articles represent the best in scientific rigor and relevance.
RAE is a member of the Committee on Publication Ethics (COPE).
The IF of RAE’s Journal Citation Reports (JCR) is 0.408, the highest in the field of administration in Brazil.
RAE is open access and features in the world’s most relevant indexes, including Journal Citation Reports (JCR), Scopus, Scientific Electronic Library Online (SciELO), Directory of Open Access Journals ț ȜǾǾ/,2"01Ǿ )""+$ $"" /+&+$Ǿ"! )6 Ǿ "))ȉ0Ǿ 1&+!"5Ǿ *,+$,1%"/0ǽ
fgv.br/rae
Contact: Editorial Office E-mail: [email protected] Phone: +55 (11) 3799-7898
Page | 7 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE SPONSORS
THE MIT PRESS
The MIT Press is a leading publisher of distinguished scholarly books in partnership with remarkable authors who are drawn from throughout the global academic community. The Press is recognized for its support of emerging fields and its global reach. Business books at the MIT Press focus on the digital economy, exploring the changes and challenges of new technology for companies and consumers alike.
New Series from MIT Press/MIT Sloan Management Review: The Digital Future of Management Series
Books in this new series draw from the print and web pages of the MIT Sloan Management Review to deliver essential reading for executives from the world’s leading source of ideas on how technology is transforming the practice of management.
How to Go Digital: Practical Wisdom to Help Drive Your Organization’s Digital Transformation
February 2018 9780262534987 £14.95
What the Digital Future Holds: 20 Groundbreaking essays on How Technology is Reshaping the Practice of Management
February 2018 9780262534994 £14.95
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 8 CONFERENCE HIGHLIGHTS
&1%+" /)6ǗǕǾǕǕǕ*"* "/0#/,*,3"/ǖǖǚ ,2+1/&"0Ǿ1%" !"*6,# + $"*"+1ȉ03&0&,+&01,&+0-&/" +!"+ )" "11"/4,/)!1%/,2$% 0 %,) /0%&- +!1" %&+$ ,21* + $"*"+1 +!,/$ +&7 1&,+0ǽ 2--,/1&+$1%&03&0&,+&0,2/*&00&,+Ǿ4%& %&01, 2&)! 3& / +1 +!02--,/1&3" ,**2+&16,#0 %,) /0 6* /("!)6"5- +!&+$ ,--,/12+&1&"01, ,++" 1 +!"5-),/"&!" 0ǽ %/,2$%1%"-" & )&7"!,+#"/"+ "0 +&1& 1&3"Ǿ1%" !"*6 &*01,#2)Ɯ))&103&0&,+ +!*&00&,+ 6 ,ƛ"/&+$ -,/1#,)&,,#intimate and meaningful new meeting opportunities1% 1 ,*-)"*"+1,2/%&01,/& ++2 )""1&+$ț1%"4,/)!ȉ0) /$"01 ++2 )$ 1%"/&+$,#* + $"*"+1 +!,/$ +&7 1&,+0 %,) /0Ȝǽ -" & )&7"!,+#"/"+ "0 )),4*"* "/01,connect and engage throughout the yearǾ3&/12 ))6 +!&+3 /&"! ), 1&,+01% 1 /"/"Ɲ" 1&3",#1%"$",$/ -%& !&0-"/0&,+,#,2/$), )*"* "/0%&-ǽ,)" /+*,/" ,21 1%" !"*6,# + $"*"+1 +!1%"-" & )&7"!,+#"/"+ "0 +&1& 1&3"Ǿ-)" 0"3&0&1444ǽ ,*ǽ,/$.
PLENARY SESSIONS THURSDAY MORNING PLENARY SESSION THURSDAY, 19 APRIL 2018 08h 30 - 09h 30 - Rik Medlik Lecture Theatre (03MS01)
") ,*"ǔ +1/,!2 1&,+0ǿ++ "))" 4"/Ǿ%/&01,-%"/ǽ2 &Ǿ,+#"/"+ ",Ȓ% &/0Ȁ 52Ǿ+&3"/0&16,#2//"6/"0&!"+1ǔ& "% + ")),/
Keynote Presentation: Ȋ+1/"-/"+"2/0Ǿ,ƛ""%,-0Ǿ +!&/ 1"0ȋ Paul Y. Mang
Paul Y. Mang is a Senior Advisor at Aon plc, a leading global professional services Ɯ/*-/,3&!&+$ /, !/ +$",#/&0(Ǿ/"1&/"*"+1 +!%" )1%0,)21&,+0ǽ 2)% 0)"! 1%",+"+1"/-/&0" + )61& 0#2+ 1&,+&+1%"- 01Ǿ 04")) 00"/3"! 01%"$), ) ,# + )61& 0#,/,+"+Ɯ")!Ǿ1%" /,2-0/"&+02/ + "0"/3& "0 20&+"00ǽ
2)&0 )0, 2//"+1)61%" + $&+$ /1+"/ 13 /&" -&1 )Ǿ 01/ 1"$& !3&0,/6 +!&+3"01*"+1 Ɯ/*#, 20"!,+ &+" %+"43"+12/"0&+&)& ,+ ))"6 +!,+!,+ǽ
2)4 0#,/*"/)6 /1+"/ 1 &+0"6ǔ,*- +6 +! )" !"/&+&10,/1%*"/& + &+ + & ) "/3& "0$/,2-ǽ3"/ǖǙ6" /0 1 &+0"6Ǿ&+ ,1%1%"%& $, +!,+!,+,ƛ& "0Ǿ%"% 0 ,2+0")"! +2*"/,20 )&"+10,+&002"0 /,0001/ 1"$6Ǿ,/$ +&7 1&,+ +!,-"/ 1&,+0ǽ"#,/"',&+&+$ &+0"6Ǿ 2) 4 0,+1%"# 2)16 1%"+&3"/0&16,#"5 0 1201&+Ǿ / !2 1" %,,),#20&+"00ǽ &0/"0" / %&+ 1" %+,),$601/ 1"$6Ǿ"+1/"-/"+"2/0%&-Ǿ +!&++,3 1&,+* + $"*"+1% 0 ""+-2 )&0%"!&+',2/+ )0 02 % 01/ 1"$& /$ +&7 1&,+Ǿ ,2/+ ),# ,+,*& "% 3&,/ +!/$ +&7 1&,+Ǿ"0" / %,)& 6Ǿ +! &+0"62 /1"/)6ǽ
2)&0 + 1&3"$2"010-" ("/ 1$), )&+!201/6 ,+#"/"+ "0 +! ,/-,/ 1")" !"/0%&-"3"+10,+! 1 +! + )61& 0ǽ "%,)!0 !, 1,/ 1"#/,* /3 /!+&3"/0&16Ǿ +!"+$&+""/&+$ +!!"$/""0#/,* 1 +#,/!+&3"/0&16ǽ
Page | 9 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE HIGHLIGHTS
THURSDAY GALA DINNER AND PLENARY SESSION THURSDAY, 19 APRIL 2018 18h 00 - 21h 00 - Guildford Cathedral
") ,*"ǔ +1/,!2 1&,+0ǿ /6++ )6++Ǿ !"*6,# + $"*"+1/"0&!"+1Ȁ ++ "))" 4"/Ǿ%/&01,-%"/ǽ2 &Ǿ,+#"/"+ ",Ȓ% &/0Ȁ +0$ /& %1"/Ǿ2//"620&+"00 %,,)" +
Keynote Presentation: Ȋ +" / %,#1%"&00&+$&+(ǿ%" 1 &"+ " + $"/ȋ Cassie Kozyrkov
0%&"#" &0&,+ +1"))&$"+ "+$&+""/ 1 ,,$)"Ǿ 00&" !3&0"0)" !"/0%&-1" *0 ,+!" &0&,+-/, "00Ǿ 01/ 1"$6Ǿ +! 2&)!&+$! 1 Ȓ!/&3"+,/$ +&7 1&,+0ǽ%"4,/(0 1,!"*, / 1&7"01 1&01& )1%&+(&+$ +!* %&+")" /+&+$0,1% 1"3"/6,+"Ȓ ,,$)"Ǿ &10 201,*"/0Ǿ1%"4,/)!ȂȒ +% /+"001%" " 216 +!-,4"/,#! 1 ǽ%"&01%" #,/ " "%&+! /&+$&+$1%"-/ 1& ",#" &0&,+ &"+ "1, ,,$)" +!0%"% 0-"/0,+ ))61/ &+"!*,/"1% + ǖǚǾǕǕǕ ,,$)"/0&+* %&+")" /+&+$Ǿ01 1&01& 0Ǿ +!! 1 Ȓ!/&3"+!" &0&,+Ȓ* (&+$ǽ"#,/"%"/ 2//"+1/,)"Ǿ 0%"0"/3"!&+ ,,$)"ȉ0ƛ& ",#1%" 0%&"# 1 &"+1&01ǽ/&,/1,',&+&+$ ,,$)"Ǿ 00&"4,/("! 0 ! 1 0 &"+1&01 +! ,+02)1 +1ǽ%"%,)!0!"$/""0&+* 1%"* 1& )01 1&01& 0Ǿ" ,+,*& 0Ǿ-06 %,),$6Ǿ +! ,$+&1&3"+"2/,0 &"+ "ǽ%"+0%"ȉ0+,14,/(&+$Ǿ6,2ȉ/"*,01)&(")61,Ɯ+! 00&" 11%"1%" 1"/Ǿ&+ + /1 *20"2*Ǿ"5-),/&+$1%"4,/)!Ǿ,/ 2/)"!2-4&1% $,,!+,3")ǽ
FRIDAY MORNING PLENARY SESSION FRIDAY, 20 APRIL 2018 08h 30 - 09h 30 - Rik Medlik Lecture Theatre (03MS01)
+1/,!2 1&,+0ǿ++ "))" 4"/Ǿ%/&01,-%"/ǽ2 &Ǿ,+#"/"+ ",Ȓ% &/0 ),0&+$"* /(0ǿ /6++ )6++Ǿ !"*6,# + $"*"+1/"0&!"+1
Keynote Presentation: “The Tyranny of the Data? The Bright and Dark Sides of Data-driven Algorithmic " &0&,+ (&+$ȋ Nuria Oliver, PhD
2/& )&3"/Ǿ&0&/" 1,/,#"0" / %&+ 1 &"+ " 1,! #,+"Ǿ%&"# 1 &"+1&01 1 1 Ȓ,-))& + " +!%&"# &"+1&Ɯ !3&0,/ 11%",! #,+" +01&121"ǽ %"% 0,3"/ǗǕ6" /0,#/"0" / %"5-"/&"+ "&+1%" /" 0,#%2* + "% 3&,/ *,!")&+$ +!-/"!& 1&,+#/,*! 1 +!%2* +Ȓ ,*-21"/&+1"/ 1&,+ǽ%"%,)!0 %&+-"/ "-12 )&+1"))&$"+ "#/,* ǽ%"4,/("! 0 /"0" / %"/ 1& /,0,ƞ"0" / %#,/,3"/ ǜ6" /0 +! 01%"Ɯ/01#"* )" &"+1&Ɯ &/" 1,/ 1")"#,+& ǔ#,/,3"/ǝ6" /0ǽ11%""+!,#ǗǕǖǛ 0%"4 0+ *"!%&"# 1 &"+1&01 1 1 Ȓ,-))& + " +!&+" /)6ǗǕǖǜ0%" )0,',&+"!,! #,+" 0 1%"Ɯ/01&/" 1,/,#"0" / %&+ 1 &"+ "ǽ + !!&1&,+Ǿ0%"&0%&"# &"+1&Ɯ !3&0,/1,1%",! #,+" +01&121"ǽ
"/4,/(&04"))(+,4+Ǿ4&1%,3"/ǖǚǕ0 &"+1&Ɯ -2 )& 1&,+01% 1% 3"/" "&3"!*,/"1% +ǖǖǾǕǕǕ &1 1&,+0 +!1"+ "01- -"/ 4 /!+,*&+ 1&,+0 +! 4 /!0ǽ%"&0 ,Ȓ&+3"+1,/,#ǙǕƜ)"!- 1"+10 +!&0 /"$2) /("6+,1"0-" ("/ 1&+1"/+ 1&,+ ) ,+#"/"+ "0ǽ
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 10 CONFERENCE HIGHLIGHTS
Nuria’s work and professional trajectory has received several awards, including the MIT TR100 (today TR35) Young Innovator Award (2004), the Rising Talent Award by the Women’s Forum for the Economy and Society (2009), the European Digital Woman of the Year Award (2016) and the Spanish National Computer Science Angela Robles Award (2016). She has been named “an outstanding female director in technology” (El PAIS, 2012), one of “100 leaders for the future” (Capital, 2009) and one of the “40 youngsters who will mark the next millennium” (El PAIS, 1999). She became an ACM Distinguished Scientist in 2016, a Fellow of the European Association of Artificial Intelligence in 2016 and an IEEE Fellow in 2017.
SPECIAL EVENTS & ACTIVITIES
UNIVERSITY OF SURREY CAMPUS TOURS WEDNESDAY, 18 APRIL 2018 10h 00 – 11h 30
Several unique Surrey facilities are offering behind-the-scenes tours to conference delegates on a first come, first served basis. Tours include:
• The 5G Innovation Centre (5GIC) at the University of Surrey, which is now the largest UK academic research centre dedicated to the development of the next generation of mobile and wireless communications. Two consecutive 30 minute tours will be offered, beginning at 10:00.
• The Surrey Space Centre will review the history of the Surrey Space Centre (SSC) and the links to Surrey Satellite Technology Ltd (SSTL), as well as cover a visit to the operations centre, or “Mission Control” where we communicate with Surrey’s very own satellites. Four consecutive 30 minute tours will be offered, beginning at 10:00.
• The School of Veterinary Medicine will present “A Vision for a 21st Century Vet School,” with a tour featuring the vHive - the veterinary Health innovation engine; the school’s Digital Pathology and diagnostics; and partnerships in veterinary education. A shuttle to the School will depart from the Rik Medlik Foyer at 10:00, with three simultaneous groups to circulate for a 60 minute tour.
WELCOME RECEPTION WEDNESDAY, 18 APRIL 2018 18h 00 - 19h 00 - Lakeside Restaurant
A Welcome Reception for all delegates, hosted in Lakeside Restaurant and the foyer of the Rik Medlik building. A great opportunity to network and create connections with colleagues from across the globe.
Page | 11 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE HIGHLIGHTS
GALA DINNER THURSDAY, 19 APRIL 2018 18h 00 - 21h 00 - Guildford Cathedral
The Conference Gala Dinner will take place in the spectacular Guildford Cathedral. The Cathedral is situated adjacent to the University of Surrey campus and plays a significant role in the lives of its students, each year hosting graduation ceremonies for those completing their academic studies.
The evening will provide the perfect opportunity for delegates to network and celebrate together. Tickets for the Gala Dinner are included in your pre-paid delegate rate and include a three-course meal with wine, as well as a variety of evening entertainment.
We do hope that you’ll join us for this very special evening.
DOCTORAL CONSORTIUM
WEDNESDAY, 18 APRIL 2018 09h 00 – 15h 45 - Multiple locations
The AOM Big Data Conference Doctoral Consortium sessions are designed to provide an introduction and explore key questions such as “What is big data?” and “What big data is not?”
The day’s will include multiple breakout sessions and presenters, who will review how we can apply Big Data as a research tool—and all the considerations of the good, the bad and the ugly. The day’s breakout sessions will be followed by a panel discussion with all breakout presenters.
ACTIVE LEARNING WORKSHOPS WEDNESDAY, 18 APRIL 2018 14h 15 – 17h 30 - Multiple locations
Interested in learning more on how to use Big Data in your research? How to scrape data from the Web? Once you have the data, how to manage it? How to incorporate Big Data in your classes?
The AOM Big Data Conference Active Learning Workshops will provide opportunities to learn about these topics as well as many others. The Active Learning Workshops are interactive tutorials and professional development workshops meant to engage attendees in an exciting hands-on learning experience, delivering training on specific methods, pedagogy, tools, or software related to the conference theme.
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 12 WI-FI INFORMATION
STAY CONNECTED WITH ‘THE CLOUD’ VISITOR WIRELESS NETWORK
Visitors and conference attendees should use ‘The Cloud’ signal to connect to the wireless service when visiting the University of Surrey. ‘The Cloud’ is a free public access wireless service with thousands of hotspots and millions of registered users, it provides simple, fast and reliable wireless Internet access. ‘The Cloud’ service is available for Android, iOS, Windows and Mac devices.
CONNECTING TO ‘THE CLOUD’ To connect to ‘The Cloud’ simply follow the steps below: 1. Select ‘The Cloud’ from the available network list. 2. Open your Internet browser - ‘The Cloud’ landing page to the right will appear. Click ‘Get Online’. If the web page does not appear, visit: https://service.thecloud.net/service-platform/login/
3. You will then see the service selection screen. Select ‘The Cloud Wi-Fi’. 4. Once this is done you can either login with an existing ‘The Cloud’ account, or click on the ‘Create Account’ button to register for a free account. 5. Once you have logged in or registered you will be able to access the Internet using ‘The Cloud’.
FASTCONNECT APP You can also register your compatible mobile device for auto-connect with the FastConnect app, so you will no longer need to enter your user name and password. The FastConnect app can be downloaded via iTunes or Android.
SECURITY For details on ‘The Cloud’ Wi-Fi Security visit: thecloud.net/free-wifi/wifi-security.
GUIDANCE Download The Cloud: User Guide
Page | 13 BIG DATA AND MANAGING IN A DIGITAL ECONOMY Expanding our commitment to management and organizational scholars...
Explore AOM’s new content platform. UNIVERSITY OF SURREY CAMPUS MAP
GETTING TO THE UNIVERSITY
BY TRAIN BY CAR Guildford is on the main line between London Waterloo Stag Hill and Portsmouth. Half-hourly train services run from Guildford is 30 miles south-west of London, on the A3 Guildford to Waterloo, with a journey time of around London-Portsmouth road. If approaching from London half-an-hour. For further information, call National Rail or the M25 (Junction 10), remain on the bypass (A3) until Enquiries on 08457 484950. you reach the exit signed to the Cathedral and University. The campus is very close to this junction. Simply follow Walking from the Station the signs to the University, being careful not to follow Leave station by footbridge and rear (western) exit. signs to the town centre. Turn right from the station along Guildford Park Road and take the second turning on the right (just past the On the A322 or A323 from Bagshot or Aldershot, at Evangelical church). Follow the path through the council the A3 roundabout take the exit signed to Portsmouth, car park to the campus. and then turn off the A3 at the first exit (signed to the Cathedral and University). Bus from the Station ARRIVA buses (leave station by footbridge and rear If entering Guildford from Horsham (A281) or Godalming (western) exit, cross main road to bus stop) operate a (A3100), leave the central gyratory system at the exit regular service to the campus. Services 3, 17, 27 and 37 signed for Farnham (A31). After approximately 200 yards, run approximately every ten minutes during the day. For at the mini-roundabout, take the first turning right into further information, call Traveline on 0871 200 2233. Guildford Park Road, and continue along Madrid Road and The Chase for a mile. At the next roundabout, take Taxi from the Station the third exit for the University entrance. Taxis leave from the main (eastern) exit. Manor Park & Surrey Sports Park FROM LONDON HEATHROW AIRPORT Manor Park and Surrey Sports Park are only a few minutes’ drive from the main Stag Hill campus. Go out of Rail-air link coaches leave for Woking railway station the main University entrance, straight ahead under the from the Heathrow central bus station, which is a few A3 and across the first roundabout. Turn left at the traffic minutes’ walk from Terminals 1, 2, and 3. The coaches call lights for Surrey Sports Park, go straight on for Manor at Terminal 5, and there is a limited service from Terminal Park and Research Park. 4. Passengers using Terminals 4 and 5 can transfer free to or from Heathrow Central (for the bus station) by the Postcodes for Sat Nav Heathrow Express or Heathrow Connect train. Coaches GU2 7JP for the Stag Hill campus run up to every 30 minutes and the journey time is GU2 7YW for the Manor Park campus & Surrey Sports Park approximately one hour. There are frequent trains from Woking to Guildford. For further information call National Rail Enquiries on 08457 484950 from the UK and SPECIAL NEEDS ACCESS National Express Coaches on 08717 818178. Vehicles displaying a Disabled Badge may park free in the car parks and in disabled bays for up to 6 hours, unless FROM LONDON GATWICK AIRPORT the University host or driver has made arrangements with the Security Office for a longer stay. Gatwick station is positioned in the South Terminal of the airport and provides direct rail-air link trains to Guildford Please contact the Security Office (01483 682002) in hourly between approximately 4am (6am on Sundays) advance for advice and to ensure that parking is available. and 11pm. For further information, call National Rail Enquiries on 08457 484950. We recommend that you contact your host in advance for advice on accessing the parts of campus you need to visit. BY COACH National Express coach number SH030 runs services to VISITOR ENQUIRIES and from the Egerton Road/Tesco stop (a short walk from Senate House on Stag Hill is the main reception point for the University). For further information, call National the University of Surrey. If you are unable to find your way Express Coaches on 08717 818178. around campus, please make your way to Senate House.
University of Surrey Guildford, Surrey GU2 7JP, UK facebook.com/universityofsurrey twitter: @uniofsurrey T: 0800 980 3200 youtube.com/universityofsurrey +44 (0)1483 681 681 E: [email protected] surrey.ac.uk 7892-0616
Page | 15 BIG DATA AND MANAGING IN A DIGITAL ECONOMY UNIVERSITY OF SURREY CAMPUS MAP
Campus Map Finding your way around
Join us on social media: @UniOfSurrey
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 16 UNIVERSITY OF SURREY CAMPUS MAP
A B C D
Café/Restaurant Manor Park Campus 8 Starbucks
Key 9 Bench Bar
10 Heart + Soul Café Bus Stop Vet School Main Building Bus Route 11 Heart + Soul Cycle Park Manor Park Reception Building Information Point £ Cash Point Development Area
Key buildings/areas
Clinical Research Centre [CRC] ...... 53 The Leggett Building [Leggett] ...... 54 Manor Park Reception ...... 56 Veterinary Clinical Skills Centre ...... 58 Veterinary Pathology Centre ...... 59 School of Veterinary Medicine Main Building ...... 60 Surrey Sports Park ...... 61
A3 P Manor Farm
A31 Accommodation Manor Park (M3 ) Portsmouth Bellerby Court ...... 55 Manor Park ...... 57
Road
rton Ege
A3 Stag Hill Campus: M25 London
A B C D
Page | 17 BIG DATA AND MANAGING IN A DIGITAL ECONOMY UNIVERSITY OF SURREY CAMPUS MAP
E F G H
8 61 59 9
1 58 Ri chard Meyjes Road E rn st
60 Chain
s d s 57ing a Ro m 10 e l Ro
F k ld c r i r na e
d C
Ro n a is x
e nc l a A r F
11 56 d oa R ckson e Ja Daphn 54 55 53
Gill Road
Manor Park Campus
E F G H
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 18 GUILDFORD GUIDE
A A O LD ERSHO 3 d s a T RO M R k A 2
e t B D
r f e n 2 a i r A d eld c i e W y 3 n i d a 2 a estw T c dg 3 o s R h s e e y
d s Cr e C r r s Allotment B l C a ld d R e u
i e
o S f R d We lo p r k c W
s t o v d o l o
a k s e B db il u r r R id r i g O u n e R H t d G h H h r il a n d g a l es Ro n k r d ac e r Broad id w t r ds h le oo y a a R a W a R P b n m d r y o P ton Rd e t a Wes D e es rk R W F.B. School d Wo C B Rifle Range od- ab a Plantation ell rn Br R o D ad o d o TravelodgeTravelodge mf r R iel iv Way d non n W e Ver to R le w Mid o o o
o
d u y d
a n a
Park Barn E b e d
r e h
School w i
M d - d u i
R ll
g
d n t s W W Fairfield Rise e
e re e
on v lc o a l y v Park Barn i M P o k o A H d r n e s i s G i a L e d h d w e v Playing s o i r o R r A w Fields D r y o
s u a a n d r b W a x y y Cl l l B Derb o a i
k F h w University r d th Schools a Roun u of Surrey P So Playing Field Sout y hway Southwa A3
E Sports
g
e Hall
r ove t h Gr Royal Surrey o Beec County n Tesco R Halls of Residence
Hospital d
Rd Ashenden Rd F.B. Royal Surrey GuildfordGuildford County Hospital rton St. CathedralCathedral ge Jo Alre athe E h d s C d n R ford ra s k Rd l d R ic n R d r C rto b Ege n Old l l e C il B ou R G R rt ill Avenue R H i a d d g y g ark University a e P m t A m d Buildings o t al S or v cen Ov o f e n s e ld n Cre Th u i d u
n u T e ood G he nw t E y l C L m h Pavilion E as l b e m a d d n R s R s t or k r lean i pe The Philip E d Ave u e l d R Henman a DR L v id u G School O dr unsdon u he a d i Sports Ground s T M ld E l fo d o r a d a w s Playing e P t Field Rd A R a M e lac ve d r M Pa D
t Old B y e s e a Iveagh r n e w S a a e y z d c A g i The W l s i R d l g l R W e Holiday e o r d l a d H n Surrey Rd r
i a Farnham Inn e d l u i i de n a ve V a Sports A R Road n Ellis g R r
Park n
n R d n i Hospital i l Onslow e d r W
A3 w ss
u r D I d A h Rd C R O er ard d re R h R o M w Cl rc e tim A ll O s t ol H Playing e a P S RN r c A i w e G l F Field l Annandale Rd k o t o s e n n
P i T i g ho a a e n a rn B n u r en n le R v a d School A a d School ic a lan B V de V 31 Wo d Way g A Pavilion iel n Playing hf i Club- itc l L r iars Ga R Fr te Field d u si house o t a C un W o d nk M Recreation y Ba o e nle d nu Ground He el e e Onslow and Av id T ts Village he Drive un N Mo ay Manor W AD RO Close M Ce Abbots HA ARN
View Rd F
High d R
A31 0 ½ mile n
e w nu e d Av il 0 500 metres n u ldow G Gui er pp BUSINESS MAPS LTD - WWW.BUSINESSMAPS.COM U Legend Publi Taxi F.B. Foot
Page | 19 BIG DATA AND MANAGING IN A DIGITAL ECONOMY GUILDFORD GUIDE
Spectrum A3 Guildford A3 Spectrum A25 Superstores PremierPremier Y KWA TravelTravel PAR LADYMEAD InnInn 25 A25 5 S 2 A Fire PARKWAY A br T idge Road Station O W J Lido
o K O se
p E 0 O h 0 W D s Rd 1 B PavilionPavilion Stoke 3 oo R A
Superstore ID d R S Park b G to D r E c i t d o tocton Rd R n
g S GuildfordGuildford
D C
e l
A CollegeCollege
M Bowls Centre 3 e a Recreation 2 DS
d A 0 A t o Ground O M w 3 a R r s 2 g N a d 2 re O t R Recreation Rd D s d S
A ChildrensChildrens N a e
c
T e s O
a PlayPlay AreaArea L
c O o m l School r Dapdune i
a
C K e o R Fields T Wharf W v E e d Tennis A e NT r O re T Courts o t O Gardner R Pavilion nu d m al Cricket D is
d n W W Ground B N n eld Rd R i W fi R g E R rken h Ma Kings h D ti e a a I n s t D r g a f f Club- a h 0 o G le C r R Rd k 0 d d house E ne Queens Rd R r d Dapdu d a 1 C R P 3 C t y R r le d School A o n O d R a mon Onslow Rd ss r rum E C A D A a La W r g d D n A t l
R e e i V London ld illiam l i s l c Rd R e er g d t e
or S e l d G d o Road rs y d e
r T R i R e i
f
a y R O
A T n g d en p R R e o d D Rd K n p d 3 y r i n d R ler c d r A l e
i l s t r A C M M r ea A E l x a
L 2 ac n p a a d
o o a W n
t O Rd a
F r 2 F
d e S S o M g R rch R a r a u ROAD r E Ch RKD L i r 6 YO owe a 4 l 2 e A d R n R e r t D g A n d u y R RO d e Merrow m d t K R W b PolicePolice OR a o T A Y D
R r T r S School k r a o StaSta n N E o Rd e Dene R u C d e Crown a f O D g MagMag i Bowling d o e E h Cl l D Court l H d CourtCourt l Green N R B e N a T o TennisTennis d D g E R e Laundry y e C G-Live s O R M e r a d O d r CourtsCourts s A e R L S d H t l D EP f W R o g T e o a x U n E e d t r a rd o e r n 6 p La R a d 4 p o e c A2 T l d r A d d pa R T School e a e R OOdeondeon R S a r r b Le y u rt S G d d E F.B. r L a s CCinemainema M W d E i e P E P d R n S t W d a s 0 OM RD e g p lac J l g a Y 0 n F.B. O a e r e a 1 e l S b L i e d 3 n S R e t S o S c A y R R n B d The r C d r N
d h T n o d rt S e a e No t T d h C ey O S i u Friary R e r h l R P s li d g a m H R d e e T O G mB e R s h
r S N M P.O. I a l R m t Library r d k Guildford E S H h o d y h W R S e e d
G o th arket St n d v a a
R D L or Gallery School e i n r m r d
I O e a r C d d R Electric N S ) H e W s y R R n w R
B es S d d R d S CCollegeollege d
Theatre a Guildhall cc Mount T n A F F d R White L te Alvernia I r ic A n i tr ll R a es i P Hospital Y r Lion R H B y ( B t e L R ri h d w a S Walk g l n t t Tunsgate R e c P h S y as A Hig y d W C te R e R a A r v y li Av h K r e d n e
er r d e S a
Q tle St o is R w T s o d M ua a H h P e e n M I p w l L C CCastleastle S R l r l a e d i L r o P y R l B y u e d l w B m R m a
t Debenhams t l School n O h e e k ue d S e BBowlingowling y R O H S l M y a MMuseumuseum GGreenreen H a t M r d i il h P u K l l c i B l s le l B a lm re u a t s Castle Hi
a e Yvonne r P n ll M n a y P y
t o e
u f S w
P d Arnaud e
i y l
e o e t l ay d O r l e l W M T Theatre e
d w ay e
R errac s e e t R t
h T P T d oin P S P Coll h Pewley ew e g l M Boat- e School i y H house H ill O A U 2 t A C T Guildford 8 d b H 1 R d o Rd Borough bo Fort d ort R o wn t R F R La d W w Council
k O a S
o F Weekends G r o A F.B. w
h r Pewley
l e emetery R o Only a i D a c w t k l Down f y s e r n o Quar n L r Be
Club- r w W d o A n y house c d
a e h 3 R h n
l t k w W e r L 1 o B nc
r ks h R o o ic d 0 a
e rw N h d a c l d 0 iv i W Warwicks Ben u Artington R
d Leisure/Tourism Footpath P.O. Post Office ic Toilets Administration/Law Library Park & Ride Health/Welfare Rank Place of Worship Car Parks bridge Education One Way GUILDFORD GUIDE
to Woking & Camberley 35 28 91 Guildford to Woking WWo Lane orplesdon plesdon Guildford Bike Project e n s Rd. a on R Saltbox Rd Rd L RRd.
Coombe lly GrGrange o Grange Park k g H 26 27 RoadRo
Buy a quality used bike from Cumberland Ave. BeBellfields
Aldershot Road Lane Guildford Bike Project 3 e angley a ue T T ns LaneL Keee venue BrookeBroo A Brocks TTy ylehost A
e h • Buy a refurbished bike n o oke a L WWilWillow ttss s ForestFores t
k Hazel Dr e Way
Dr hnsth • Get your bike serviced v ohn alk a r ra JohnstonWWa G RRoad LiLime Donate an unwanted bike Lane ge • Aldershot nge GrovGrover Envisn Way dershot
hot ByrefieldldRd Rd. W GrGrange
Grove ue RoadRoR . o RRoad Road rp shop.guildfordbikeproject.org.uk Fairlands d ss le venue R le
Frog e ress R 17 ill s A d 266 press Guildford travel map H H o c s CyCypress ’ Shepherd’s Lane n R 27 e Larch contact: d o y 26 M ad R SStouStoughtonu n d anor Rydes HHill nor Roa 277 Northway [email protected] or 28 Road 3 Oak Hill Broad Street Stoughton w 91 ugh 17 d R Aldershot Rd. R Rd. d Southway
Wood Streett Park ark 4 A3 arnwood k BarnwoodCabellCabebell BarBarn Village ellRd RRd. a 5 Brompton Dock La DrD . WWo d. 4 o oad
o W R d Sto s
5 oodbridge id
b eadeadow e 4 5 R dbr
nu R
Cabell M d 4 . UUniverUniveUniversityrs y Brompton folding bicycles v venue
Parkrk Barnarr ond A 5 Pond of SuSurreyururreyrey F Foxburrows Road 26
are now available to AApplegarthar Ave. Egerton
Southway er Southwayuthway 27 hire from Guildford, 17 28 Royal Surrey Rd TescoTTeesco Cathedral 26 91 36 Ridge Woking, Redhill and County Hospital mount 27 Priestly Routes 26 and 27 Rd.R Th iestly 37 ton he also serve Manor Park EgertonEgerton C 36.37 Reigate train stations. Avenuevenu ha GuildfordGu evenings and Sundays Gillll s RRdRd. E ses lm ete RdRd.R o ow 38 a m Rd StationS d Rd. e Surrey ElEleanor’ 4 slo ssid ad ttre MadridMad nnslow B 5 S e A O Sports Park en G ggraria P St S raria u You can rent out a bike 24/7/365, u a cillo ildiil rk Queen llo a ffo lo R R R Manor Park nnian rd rt ale Rd d d Nort a iania Rd.Rd oado use it for as long as you want and W V . V e a ild tim R Poltimoreoltimore 18 e d return it to any dock. rn . ToTownowwn e CurlinCurling Friar’s Gatee Mil s vveve. Onslowow VVillage s A R 18 ndd R delland CCeCentreennttr www.travelsmartsurrey.info dd. d Wodel R . w Manorr W ay Buses serving ieie RRoad V h V ham igg Farnham University Stag Hill campus H Bridge pass Daytime and evening frequencies and first bus to University and last bus from University Da
17 From Bus Station to University 36/ From Merrow Park to University USEFUL CONTACTS Collect a free bridge pass F 37 via Burpham or Epsom Road 3 from the ticket attendant Daytime Evenings First bus Last bus Mon-Fri hourly – 0638 1841 Daytime Evenings First bus LastCollege bus of Law Website: travelsmartsurrey.info to enable you to cross Mon Saturday hourly – 0830 1753 Mon-Fri 15 – 0645 1925 Guildford station via the bridge Satur Tel: 03456 009 009 Saturday 30 – 0750 1900Police HQ 17 From Fairlands to University Sund when walking route W1. Evening and Sunday service runs to/from Bus Station only. (Ask for Travel SMART) Change there for University Daytime Evenings First bus Last bus From to Artington Email: Mon-Fri hourly – 0932 1752 36/37 Manor Pk. University [email protected] Saturday hourly – 0932 1619 Also Routes 26/27 evenings and Sundays Daytime Evenings First bus Last bus 4/5 Travel SMART in Surrey Useful information 17 From Wood Street to University Mon-Fri 15 30* 0720 0014‡ Daytime Evenings First bus Last bus @TravSMARTSurrey Saturday 30 30* 0820 0014• Mon Mon-Fri hourly – 0705 1847 • Student travel and transport Sunday 30* 30* 0937 2351 Satur Saturday hourly – 0807 1724 * Served by Routes 26/27 evenings and Sundays information is available here: ‡ Later buses run at 0112 and 0212 on Thursdays during Sund University term times surrey.ac.uk/currentstudents/ • Later buses run at 0112, 0212 and 0312 during University term times campus/transport/ 26/27 From Bus Stn. to University • Access maps and information Daytime Evenings First bus Last bus 18 Website: surrey.ac.uk for disabled students and Mon-Fri 15 30 0535 0013 38 From Manor Park to University Saturday 15 30 0605 0013 University terms only visitors is available here: Mon Sunday Tel: 01483 681 681 30 30 0842 2340 Daytime Evenings First bus Last bus surrey.ac.uk/visit/disabled/ Satur University of Surrey 26/27 From Grange Pk. to University Mon-Fri 20 30* 0810 1843 * Evening service runs on Mon-Sat from University to Bus Station only every 30 minutes from 1928 until 2328 @UniOfSurrey Tourist Daytime Evenings First bus Last bus Mon-Fri 15 30* 0626 2354‡ Transport Team: Information Saturday 15 30* 0720 2354• [email protected] Centre Sunday 30* 30* 0922 2321 Try * Evening and Sunday Service also serves Manor Park Website: visitguildford.com ‡ Later buses run at 0112 and 0212 on Thursdays Surrey County Council working in partnership with other local organisations. during University term times • Later buses run at 0112, 0212 and 0312 A SM All funding is provided by the Department for Transport’s during University term times Local Sustainable Transport Fund. Tel: 01483 444 333 to p
Page | 21 BIG DATA AND MANAGING IN A DIGITAL ECONOMY GUILDFORD GUIDE
34 to Woking & Camberley ulfr Rd. Guildford
Clay LaLanea Clay ay Guildford Bike Project LaLane Rd Jacobs Well W Merrow oking
Road g ell Rd.
We BuBurphau m Lane Buy a quality used bike from W ’s bs Clay SainsburSSainsburyssburrys lay LaLanL Guildford Bike Project Jacob ane MMoorfield d Burpham a Road o R d. R Buy a refurbished bike LanLane n 36 • Rd.R o d n 37 o L Get your bike serviced Weyleale erfieerfield • d overfield 36 New Inn Lanee Doverfield RoaRoadR Fararm 377 m • Donate an unwanted bike d FFarm d 36 DDrDriveDri terersideerser a Old ater ot rd RRd. WWa RoR 377 ewewardw 34 HaHarewardarew MerrMerrow Park shop.guildfordbikeproject.org.uk oltsfoot 35 CoColtsfoot Parkark Guildford travel map LaneLan Bushyusshyy HiHill 36 37 contact: G KingfisherKingfishes r Driveiv ke anghanghill ykyke D [email protected] g G t 36 RRd. Spectrum . GGo LLon ooo 337 Park W o LeisuLeisLeisure Centre d SSh oking win Dr. he 363 king e
p Lane M la 37 Bushy n WWo e MeMerrow rrowr ushy d Rd. Rd. BBoxgrovexgroveve row
oo s
w erro
od
d. Hill Av d A s
DrDrive v d
ParkParkrkk e
a kw . o Parkway StStreet adyadymead R Lan MerrowMMerroro d Lane 36 e Lido n a HHorsehoeHorseh Brompton Dock o o R Lane 37 d R Boxgrove xgrovgrove n d o rse octon Rd. o a oxgrove seseh College e BoxgroveBoxgBox Lane HorsehoeHoHorse e L T ane or EEast rm EastE rodd’ o s TTo e
Stoke Stoke 36 W RoadR 3 RoaRoad W o Epsompsom s Park es 37 Lane ad st 34 d Lebylsdene ad aan ooa H ebylsdene Brompton folding bicycles 6 35 C R illie bylsd Road R LondonLond Road RoaRo llie L rro ley HoHolford oa a r Stationationo n s ranleyan R Rd.Rd 7 ees s C A 37 o ord are now available to ldd a 36 8 R e d rove o rs Rd. GrovGrove a e RoaRoad Yoorkk R Roadd d y EpEpsomsom hire from Guildford, TTa Rd.R a Chertsey enene A n hert Dene lb g Street u ie Not Monday to Friday Woking, Redhill and A ry r R usu R R s o morning peak hours ooa tte o a g a e a d HighHigigh d n d eee Reigate train stations. BusBuus StreetStreetreettree d RRd.d. Warren Road tationon m RoaRoadRRo vey nhamhamam HHarvey Sydenhamdenha StreetStreS rth Librarybrarary You can rent out a bike 24/7/365, Pewew wlley Hi Pew ill ley Castleas W use it for as long as you want and Millbrook W aya arwicks FoFort Road broo wwicks return it to any dock. BenBench www.travelsmartsurrey.info ch Other buses aytime and evening frequencies and first bus to Bus Station and last bus from Bus Station Bridge pass
From Bellfields to Bus Station 28/91 From Worplesdon to Bus Stn. Routes 28/91 continues to and from Woking via Knaphill. USEFUL CONTACTS Daytime Evenings First bus Last bus Collect a free bridge pass Daytime Evenings First bus Last bus n-Fri 15 – 0604 1904 from the ticket attendant Mon-Fri hourly – 0709 1820 rday 20 – 0719 1855 Website: travelsmartsurrey.info to enable you to cross Saturday hourly – 0755 1750 day hourly – 0910 1654 Guildford station via the bridge Sunday hourly* – 1035 1709 Tel: 03456 009 009 * Route 91 on Sundays when walking route W1. Shalford (Ask for Travel SMART) Email: 5 From Park Barn to Bus Station 34 From Jacobs Well to Bus Station Route 34 continues to and from Camberley via Woking. [email protected] Daytime Evenings First bus Last bus Daytime Evenings First bus Last bus Useful information n-Fri 7-8 20-30 0600 2300 Travel SMART in Surrey Mon-Fri 20-40 hourly 0637 2235 rday 7-8 20-30 0643 2300 Saturday 20-40 hourly 0802 2235 @TravSMARTSurrey day 20 40 0903 2230 Sunday hourly – 0935 1810 • Student travel and transport information is available here: surrey.ac.uk/currentstudents/ 35 From Mayford to Bus Station From Onslow Village to Bus Stn. Route 35 continues to and from Camberley via Woking. campus/transport/ Daytime Evenings First bus Last bus Daytime Evenings First bus Last bus • Access maps and information n-Fri hourly – 0745 1810 Mon-Fri hourly – 0722 1905 Website: surrey.ac.uk for disabled students and rday hourly – 0930 1710 Saturday hourly – 0726 1740 visitors is available here: Tel: 01483 681 681 surrey.ac.uk/visit/disabled/ University of Surrey www.travelsmartsurrey.info/planner our journey planner @UniOfSurrey Tourist Scan and link Transport Team: Information straight to the [email protected] MART, easy way journey planner. Centre plan your journey from A to B. Website: visitguildford.com Surrey County Council working in partnership with other local organisations. All funding is provided by the Department for Transport’s Local Sustainable Transport Fund. Tel: 01483 444 333
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 22 GUILDFORD GUIDE
Suggested cyle routes Suggested walking routes Northm Cycle route with separate cycle lanes W1 Junior Sc University Library to High Street via Guildfo Recommended cycle routes Stoughton W2 Infant Cycle route usually shared with pedestrians University Library to GuildfordSchool Spectrum via
Off Road cycle route W3 University Libraryy to SurreySurre y SSportsports Park via Footpath
. D D tooH Hazel HaHazazezelel FarFaFarm armrm R to Hazel H Farm m A K O C via GrangeGra Road R viaviia WorplesdonWWooorplesdonororprplplelesesdsdsdodonon RoadRoRoaoaoadadd A RRA L R (seeee insetnsetns left)le L AAR GRA I (see(s(seseeeeein ininsinsetnsesetett left) leftlelefeftft)t)) NGE B . ROAD HHI RD H S SSS OOS
H S RRO ’’S C
A E D EEWW M D R YYD NNE
. I R
L WORPLWWO
T
N OOR O RRP O N PPL RRT L T E D BUR H SDONSSD R DEN M O R WAY W StoughtonStoughton DDO Y EGANO WAY C AAN A OON RRC EER N Y RecreationRecrreeation N P O HAZELHAAAZAZEAZEL FFARMARAARMRM GroundGrroound ROR R O AAR R R O A ((U(UNIVERSITYNINIVERSITYSITTY DDM A D M D OFF SURREY)SURREYEYY) OOR RRE E A L ER RO DDE AAV T AD OOA E AK R V S F SSH IE HO E E L T . D R ROA O S D F A LDE D R W SH A OT O OOA R R WestboroughWestborough UnitedUnited O R ThThe Dental AD P E
S G ReforReformeded ChurchChurch L
Park Barn O Practice E N
U A D
S D Community T K RRA A
H A D A LLK G RO
W O AAL E O Postost O Centre SID WoodbridgeWoodbridge HillHill WWA WOOD R N AAY Officefic
Y SSurgeryurgery N M O R T A A R I S LTTOOON H
O NNS ESTON ROA G W HHN N S D
RRD O A OOH D N JJO I
D U K
T C
H 3 R E AA3
W
B B VirginViirgin ActiveActivve B N A StSt FFrancis’rancis’ TO
Y E Y MIDL Health Clublubb VERNON WA ChurchChurch to Guildforddford via to GuildfordGui fordorrd via HEDRAL HILL WWoWorplesdonorplesdonon Road Rooad Manoror Road T
CA
Y
A A
W A O DEACON FIELD STA W E LL OOD K M DDS O N D W S E H I E E A I V O KKingsings CCollegeollege D L V U O
O D I E
R N A R R RRO fforor tthehe AArtsrts
EEA E G D O
L MME V A L H & TTechnologyechnology A D D N E S
N R S B A A U
A B W O C O D P K P ETER ROA R R E R IM
R A
P U
B
X
O
StSt CClare’slare’ss F ChurchChurch SOUT UUNIVERSITYNIVERSITY APPL HWWAAY EGARTH A SOUT VENUE HWWAAY OFOF SSURREYURREY
E PostPost
TThehe SSpinneypinney G
R OfficeOfffice CChildren’shildren’s CCentreentre E E S T OV T O GR E H N BEEC P
H RROYALOYAL SSURREYURREY G R TTescoesco E W3 E O N M A O CA R S OC O CCOUNTYOUNTY R A D O G D D N E D A OA HHOSPITALOSPITTAAL OOA R R RRO O 3 A Y ENDEN A D E G S SH A D IN TIRLING A RO L R ON
T U D RT R EER
S T A EG
E E N
UUG O T I I
I GEEN N O A H
R R R NT A R GGuildforduildford D E
P . L D S A T R . J C CCathedralathedral E W3 O H O subwaywayy HN A A L F G C ’ R
R D S ES C
EED NNG C R S F
D A OOA OR
A R E A A A E D R
RRI OOA D OAD
M A ICCK SSA M K RRO W D A A R T D OOA O N E RRO UE NUE A EN GILL AVE EEN M V CCE RRI SSURREYURREY D AAV IID SSuSurreyurreurrey S D L E O L HE G I CR T V G ClinicalCliinicniccal Research CentrCentrere D E ON T A RESEARCHRESEAARCHRCH YM H MMO RA E L C OOU HHA WO PR AD D FRANK LeggetLeggettett A LYN UUN
PARKPPAARKAARK IE RO IN LIN O NNT D
STLEY D AALLLI OS SSEE
S L E D T
A A
A RO C Building
O O
AD R
O G AADD
R RO N N RS I O T EAN EEL K L LLM H
M E D C VetVet School M E A I E N RO S
R L E L ID W W VA F QueenQueen Eleanor’sEleanor’s IID O R C E D
MainM Building D A U E M R E S E Q S C ofof E JuniorJunior SchoolSchool I
C D T
E N M D N OA A E R B
A E C A A X S PAL R A R D IIV E T OL A F V L D M Y AAL S E S Y AAG A C AAG E EW GGR R I G A G L R O W3 D H VVetet SchoSchoolool D E L AAR A H O S RRO RRI D
I N
MANORM PARK PPAARK R O I Clinical SkillSkillslls A I W A UE A EN D R N AV I O (UNIVERSITY(UNIVERSITY W IS N LLLLLI A EEL R
I R O D Onslow L E
O D OFOF SSURREY)URREY)) L A
A E A D
Park and Ride D R VVA
VVetet School Schhhool D N R AD D Allll SaintsSa G RROO E AARR D E N PatholoPathoPathologytholoogy Facility S H A R RRCC I MO S O O ChurchC L TI RRO LLT E R PO F R Onslow T U 3 O S
SURREY ’ A CCU SURREYSURREY A K
A D R GGA
N N VillageVillage EER N T E T A SSPORTSPORTS S GGE H B I O N Hall A R
N R
PPARKARK OnslowOnnslow N A C
A I GGuildownsuildowns B B InfInfantfant Onslow B V GGrouproup PracticePractice SchoolSchhooll TennisTennis FRIAR’S GATE OnslO ow Club Arboretum
1 to Portsmouth A3 AverageAverage walking speed 5 10 minutes to Aldershot and Farnham 22 0 500 m 1km
Page | 23 BIG DATA AND MANAGING IN A DIGITAL ECONOMY GUILDFORD GUIDE
Cycle parking Restaurant areas ead chool Christ's Cycle parking with bike pump Bar area rd Station (2.3 km - 29 mCollegeins) Guildford Bike shop Supermarket a Stoke Park (2.7 km - 33 mins) Steep hill Bridge pass Weyfield 22 National cycle route View point Tescoesc and RSC Hospital (2km - 26 mins) Primary UniversitySchool buildings Playground
W E Y too London Lond A to W Wokingokingoki UUE O ROAD N WWA H K S E O R I D S VVE R CCE TTO N L OU A A NNB E GGH DDA D G E H B I TTO E A O F H E N C A R R L R C O M W O L A R D A A E
A R Y D B L O A D
W AD O 223 O D M K Riverside R STO OAAD E UG R A I IDDE HTON PPL N YS L Nature Reserve EEY E G W G R TheTTh WWaterside atatersidetersidersidde RI O R VVE V EER O
RRSSSI E A IID A
Centre DE D
GGuildforduildford Spectrum SSpectrupectrum Park and Ride A3 Leisure LLadyadymeadead Centre RetailRetaiail ParkPark AAYY KW PARRK W2 LADYMEAD SttJ JJohn’s Jooohn’hnn’s
W OTBRID PARK D FOOTBRIDGE O StokeStStoStoktokke CChurCh ChurcChurchhurcrchch WAY A O FOOTBRIDGE O DB D R R I D GE ROA J Wild WoodWoodd OS GuildfordGuildford Lido EPPHH AdventureAdvent e ’S ROA D D AAD W O The Gym ROAD R O O
DI O
L N D OON B D W R CTON ROAD N I O O
M T R
R S OON D L O G i E v
D
A E e S B D r
R M T GuildfordGuildford O W
I O W E StokeStoke ParkPark D A e
G y K CollegeCollege S D T 223 E OOW o E W w D Air Hop p AAD S a O R t R h O
RECREATION ROAD A D A
D E
M M
R R
FOOTBRIDGEFOOOTBRIDGE R
O O O
T T
W2 T
W
Guildford O 223 O Cricket D N B IGGH RO HHT R AD TTI Ground NFIELD IN I RKE G GuildfordGuildford D MA A LE G
W HHighigh SchoolSchool E R D OOA D AAL DapduneD u e WhaWWharfar E ROA A A L DUN D O N R AP RRO (N(NationalNationao al TTrust)ruruststt) D C U O R EY T O L A AD S ND RO S N T O D UMM RAAN R DR LAAN CCR E N E EESS
C
L
O
S
E D LONDONLONDOLLOONDON RY ROA RTILLE AD A ROADROAAAD RO MMA CL ON AAO AND O D EDG R GuildfordGuildford H ROA ROAD U PP ER EEB I URC YORK D BBO CH OOR R A O W1 Policeolicee SStationtation ROAD RRO K O O A GGuildforduuiildford OR StS Joseph’sJoseph’s W D Y R A U T GGH CCrownrown CatholicCaatholiclic Church ER H C N D E R CCourtourt H AllAlllen House O N O EER D Christhrist Church ch A R NND R D AD T GGLiveLive O RO T Gardens OON Guildfordd OM E A PS S L E W GuildfordGuildford E D C St Saviour’SSavSaviour’ss E ChertseyChChehertseyertsey StreeStreetet A R O U OdeonOdedeon CountyCounty Y L T M P
N S Churchrch ChurchChuuurch P
M M CineCinenema R E
U CCourtourt R E
T E O
R E A T C LE DDG R A W I P D G
A E E D PSOM RO E O A AD GU E L L ET B IL L E OOR L D E F C R R O S R RRO
U R O T
O O O D L O BUSUS OOU DDL P FOOTBRIDGEFOOOTBRIDGEO SST O N A U AAR A LLO D 223
S H G O
R O OOW D . G H K E STATIONSTSTATAATTTIOONN ST I D W HHI OAAD TH D R R RRO OR A Y R O N PostPo Officefficec RO VEEY OOA O R A A FriaryF A D AAD D LLibraryibrary M H D D A W ShoppingSho g Centre H A EEN N RR N E EN R W1 D O AD ZZI GGUILDFORDUILDFORD TouristTouristourrist Y I S L ElectricElectric R T InforInfornforformaatatioationion O EEEEET FFarnhaarnham RRoadRoaooaad TR Holy TTrinityrinityrinitnityityy A A TTheatreheatre S CentreCentreenttree DDD D IGH D HHoHospitalospitspitaspitalpititatal H CurchCurch D IISS A O OOA N RRO D St NNicolasNicoiccooolaslas R OA E O R PParisharish CChurchhuurrcrchh R AD M GGuildforduuiildford O HA YYvonnevonnnne H N P AR GuildfordGuildford M CCastleasttlle F S A T I AArnaudrnanaud County E N L O M U L U E N U M E TTH D AV O TheatreTTheattrere GGuildforduildford S P School AN M E M H EEW EL A P W D H E O E D IIL MMuseuuseum W L W L I HHE L E T L L L E Y B Y W H A R ILL Y O O 22 GuGuildfordGuuildfiildldfoordrdd K BRIRID BaBaptistBaaptpptttitistsstt C ChChurcChurchhhurhurcuurcrch OTBROOTBRIDGESTB FOOTBRIDGESFOOFOOTB W
A
R
W W W
I I GGuildforduuildfildffoordordd C
BoroughBorooougugghh CCouCounciloounuuncncil K GGuildford Unit UniteUnitediteed ((MillMillMillmeaeadeead)ad) Reforeformed ChurcChurchch Millbrookok D Millmead ROAAD RT B FO Lock & Weir E Pewley Down h NNC at C p H ANE ow L T N 22 y e W W O r e GuildfordGuildford D iv H R T Rowingwin K’S BENCH ROOA R IICC AD O Clubl RW N too GGodalminGodalmingng WA 18.11.15
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 24 CONFERENCE PROGRAM OVERVIEW ǖǞ WEDNESDAY, 18 APRIL 2018 8:00 AM 8:30 AM Shuttle to Campus 8:30 AM 9:00 AM Shuttle to Campus 9:00 AM 12:15 PM Doctorial Consortia Breakouts 12:30 PM 2:00 PM Lunch 2:15 PM 3:45 PM Doctoral Consortia Wrap-up Panel 2:15 PM 3:45 PM Active Learning Workshops 4:00 PM 5:30 PM Active Learning Workshops 6:00 PM 7:30 PM Reception Conclusion of Event Shuttle to Hotel THURSDAY, 19 APRIL 2018 7:45 AM 8:15 AM Shuttle to Campus 8:30 AM 9:30 AM Keynote Presentation 9:45 AM 11:15 AM Paper Sessions/Symposia 11:30 AM 1:00 PM Lunch 1:15 PM 2:45 PM Paper Sessions/Symposia 3:00 PM 4:30 PM Paper Sessions/Symposia 4:30 PM 5:00 PM Shuttle to Hotel 6:00 PM 6:30 PM Shuttle to Guildford Cathedral for Gala 6:30 PM 11:00 PM Gala Conclusion of Event Shuttle to Hotel FRIDAY, 20 APRIL 2018 7:45 AM 8:15 AM Shuttle to Campus 8:30 AM 9:30 AM Keynote Presentation 9:45 AM 11:15 AM Paper Sessions/Symposia 11:30 AM 1:00 PM Lunch 1:15 PM 2:45 PM Paper Sessions/Symposia 3:00 PM 4:30 PM Paper Sessions/Symposia Conclusion of Event Shuttle to Hotel
Page | 25 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
Introduction: What is Big Data? What Big Data is University of Surrey Campus Tour – 5G Not? Innovation Centre Wednesday, 18 April 2018 - 09h 00 - 09h 45 Wednesday, 18 April 2018 - 10h 00 - 11h 00 Doctoral Consortium Event / Activity Rik Medlik Lecture Theatre (03MS01) 5G Innovation Centre Margaret White - Maynooth University Keith Robson - University of Surrey Tanya Bondarouk - University of Twente The 5G Innovation Centre (5GIC) at the University of Surrey is Professors Margaret White and Tanya Bondarouk will introduce now the largest UK academic research centre dedicated to the the days breakout sessions and presenters, as well as explore development of the next generation of mobile and wireless WEDNESDAY key questions on the Conference's theme. communications. The 5G Innovation Centre brings together leading academics and key industry partners in a shared vision to help define and develop the 5G infrastructure that will Basics of Big Data and Digitalization underpin the way we communicate, work and live our everyday Wednesday, 18 April 2018 - 09h 45 - 12h 15 lives in the future. The 5GIC will drive the delivery of a mobile Doctoral Consortium communications and wireless connectivity capable of meeting AP 2 Austin Pearce Lecture Theatre the needs of tomorrow’s connected society and digital economy. Tanya Bondarouk - University of Twente https://www.surrey.ac.uk/5gic What are new research questions about work digitalization? Big Group 1 Capacity: 20 delegates data and digitalization of management - a new wave in the Location: Meet outside seminar room 02 CII LG by PATS field interdisciplinary research? When and how do we need to Arrive: 10:00 AM digitize businesses? Demo 1 – 360 Demo 2 – Network Slicing End Time: 11:00 AM Big Data Methodology: From Big Data to Big Presentation by Keith Robson in seminar room 02 CII LG for 15 Theory minutes. Wednesday, 18 April 2018 - 09h 45 - 12h 15 Group 2 Capacity: 20 delegates Doctoral Consortium Location: Meet outside seminar room 02 CII LG by PATS field AP 3 Austin Pearce Lecture Theatre Arrive: 10:15 AM Demo 1 – 360 Dana Minbaeva - Copenhagen Business School Demo 2 – Network Slicing When and where are big data methods appropriate? How and End Time: 11:00 AM when big data relate and do not relate? How do we use big data Presentation by Keith Robson in seminar room 02 CII LG for 15 to support theory? To develop new theory? How do big data and minutes. evidence-based research relate? Please check the online program to see if there are any additional requirements for this session.
Advanced Analytics with Big Data Wednesday, 18 April 2018 - 09h 45 - 12h 15 Doctoral Consortium AP 4 Austin Pearce Lecture Theatre Dursun Delen How do I do this? What conditions must exist? What tools do I need to manage and measure Big Data? How do we successfully advance big data as a research tool?
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 26 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ University of Surrey Campus Tour Ȕ Surrey Space University of Surrey Campus Tour Ȕ School of Centre Veterinary Medicine Wednesday, 18 April 2018 - 10h 00 - 11h 30 Wednesday, 18 April 2018 - 10h 30 - 11h 30 Event / Activity Event / Activity Surrey Space Centre School of Veterinary Medicine Richard Duke - University of Surrey Professor Alasdair JC Cook, BVM&S, MSc, DipECVPH, CertPM, James Hodges - University of Surrey PhD, MRCVS - Head of vHive - the Veterinary Health Innovation Engine; Head of Department of Veterinary Epidemiology & Public {Lobby} A brief outline of the history of the Surrey Space Centre Health (SSC) and the links to Surrey Satellite Technology Ltd (SSTL). The different sizes of satellites and what is a cubesat and what https://www.surrey.ac.uk/school-veterinary-medicine/about they can do. Capacity: 50 delegates (split into 3 groups) ȟ&00&,+,+1/,)Ƞ3&0&11,,2/,-"/ 1&,+0 "+1/"Ǿ,/Ȋ&00&,+ Location: Meet in the Rik Medlik Foyer at 10:00 AM. ,+1/,)ȋ4%"/"4" ,**2+& 1"4&1%2//"6ȉ03"/6,4+ A shuttle will transport the group to the Vet School. satellites. We give an overview of some of our work, and our Arrive Vet School: 10:30 AM upco*&+$ ) $0%&-*&00&,+Ȋ"*,3"" /&0ȋ!2"1,) 2+ %&+ WEDNESDAY End Time: 11:30 AM April. Overview: A Vision for a 21st Century Vet School (all). {Clean Room (AIT)} We visit the cleanroom and test facilities Group presentations (3 groups circulating): showing where we build and test the satellites and the missions ș3 &3"- the veterinary Health innovation engine that are in progress (AlSat-1N) or have been successfully ș&$&1 ) 1%,logy & diagnostics completed (InflateSail). ș /1+"/0%&-0&+3"1"/&+ /6"!2 1&,+ https://www.surrey.ac.uk/surrey-space-centre Please check the online program to see if there are any Group 1 Capacity: 20 delegates additional requirements for this session. Location: Meet in lower corridor Arrive: 10:00 AM Tour 1 Ȕ Cleanroom (AIT) > Lobby > Mission Control End Time: 10:30 AM Conference Lunch This tour will be led by James and there will be time for a 15- Wednesday, 18 April 2018 - 12h 30 - 14h 00 minute Q&A. Foyer Space Group 2 Capacity: 20 delegates Complimentary lunch is available daily in the foyer areas of Location: Meet in upstairs lobby both the Rik Medlik and Austin Pearce Buildings. A great Arrive: 10:00 AM opportunity for you to meet and greet your fellow attendees in a Tour 2 Ȕ Lobby > Mission Control > Cleanroom (AIT) casual, social atmosphere. End Time: 10:30 AM
This tour will be led by Richard and there will be time for a 15- minute Q&A. Big Data in Management Courses Group 3 Capacity: 20 delegates Wednesday, 18 April 2018 - 14h 15 - 15h 45 Location: Meet in lower corridor Active Learning Workshop Arrive: 11:00 AM 33MS03 Classroom Tour 3 Ȕ Cleanroom (AIT) > Lobby > Mission Control End Time: 11:30 AM Deborah Kidder, University of Hartford This tour will be led by Richard and there will be time for a 15- Big Data provides Management scholars with excellent research minute Q&A. opportunities, but how should we approach Big Data in our Group 4 Capacity: 20 delegates classes? This workshop is meant to provide a forum for Location: Meet in upstairs lobby Management faculty to discuss the pedagogical issues that we Arrive: 11:00 AM face in terms of including Big Data in our courses. Also, given Tour 4 Ȕ Lobby > Mission Control > Cleanroom (AIT) that the number of Data Analytics programs being introduced End Time: 11:30 AM by universities has skyrocketed recently, this is a good time to This tour will be led by Richard and there will be time for a 15- discuss how Management faculty can and should contribute to minute Q&A. those programs. Please check the online program to see if there are any Laptops are required to take full advantage of this session. additional requirements for this session. Please check the online program to see if there are any additional software requirements for this session.
Page | 27 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
Combining Management Science and Data Turning Big Data Insights about Talent into Science: An Introduction to Machine Learning in R Action: What Do We Need for Organisations to for Management Researchers Succeed? Wednesday, 18 April 2018 - 14h 15 - 15h 45 Wednesday, 18 April 2018 - 14h 15 - 15h 45 Active Learning Workshop Active Learning Workshop 80MS02 Classroom 32MS01 Classroom Byron Graham, Queen's University Belfast Sharna Wiblen, Sydney Business School Alec Levenson, Center for Effective Organizations, Marshall Machine learning is the workhorse of artificial intelligence and School of Business, University of Southern California
big data analytics, involving the application of algorithms to WEDNESDAY Janet Marler, University at Albany data to enable computers to learn from past patterns to predict Johanna Anzengruber, University of Applied Sciences Upper a future event. In this hands on workshop participants will be Austria presented with a machine learning demonstration, and will Mariëlle Sonnenberg have the opportunity to build machine learning models using Dave Milner, IBM Workforce Science their own laptop and the free R and R studio software. R is a leading statistical programming language used extensively by The move towards big data has enabled companies to make industry and academia. Because the best way to learn about large advances in understanding their talent. Technological machine learning is by doing, participants will have the advances provide organisations with an enhanced ability to opportunity to run and amend R code, which will be provided as minimise conjecture and can potentially fundamentally change part of the workshop. No prior knowledge of machine learning our understanding of how to make evidence-based decisions or programming is assumed. Participants who want to get and transition towards prioritising data and objectivity over hands on should ideally install R and R studio onto their own intuition. This Active Learning Workshop, through the laptop, and obtain the data and code prior to the workshop. application of a systems lens, will provide attendees with a Participants should ideally bring their own laptops to the roadmap and foundational skills to effectively frame questions workshop but if you cannot bring a laptop, it is fine to work in and convert big data about talent into actions that enhance pairs or groups. Most laptops manufactured within the last ten strategic and operational priorities. years will be sufficient for the workshop. Laptops are required to take full advantage of this session. Please check this session in the online program for information Please check the online program to see if there are any on installing the free R software and additional R resources. additional software requirements for this session. If you are unable to install the software in advance, you can still attend the session Ȕ we will spend the first ten minutes going through the installation process. Big Data Privacy, Security, and Ethics: A Primer Wednesday, 18 April 2018 - 14h 15 - 15h 45 After the workshop, you will have gained an understanding of Active Learning Workshop the practical application of machine learning, as well as having 75MS02 Classroom a fully functional R environment on your laptop to use in your teaching and research. Ramon Wenzel, University of Western Australia Laptops are required to take full advantage of this session. Big Data represent promising opportunities to expand the way Please check the online program to see if there are any organizational research and practice are conducted. additional software requirements for this session. Meanwhile, the paradigm enables dramatic leaps in our ability to extract a person from data at the expense of privacy: peoples
ability to control their own conception and its expression. This dilemma is further fuelled by ever growing data security concerns, and the variance in moral principles that govern Big
Data practice, policy and research. To begin, this workshop brings attention to challenges and risks associated with Big Data privacy, security, and ethics that are relevant for organizational scholars. It then organizes rich examples, recommendations and resources to address the concerns and exploit the potential of Big Data. The workshop involves short presentations, group discussions, rich examples, and concluding plenary.
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 28 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ Laptops are required to take full advantage of this session. Please check the online program to see if there are any additional software requirements for this session. Reproducible Research: Best Practices and Tools for Support The Practice of Curating Big Datasets Wednesday, 18 April 2018 - 14h 15 - 15h 45 Wednesday, 18 April 2018 - 14h 15 - 15h 45 Active Learning Workshop Active Learning Workshop 34MS01 Business Insights Lab 72MS03 Classroom JeAnna Lanza-Abbott, University of Houston Tim Hannigan, University of Alberta Hovig Tchalian, Claremont Graduate University, Drucker School An important element of all research is reproducibility. This of Management workshop will focus on best practices and tools to support Laura Nelson, College of Social Sciences and Humanities reproducible research. An overview of the tools Docker, Git and Northeastern University GitHub will be covered along with best practices for using these Jason Kiley, Spears School of Business?, Oklahoma State tools. Docker software provides a platform to containerize University applications, data, code and its dependencies into virtual containers. By utilizing Docker, researchers can provide a pre-
WEDNESDAY The emerging trend of big data scholarship in management built environment with all the elements to ease in opens a number of doors for interesting research. Within this reproducibility. Git and GitHub provide a powerful framework growing scholarly field, there is an opportunity, evident from for version control of code. Version control is an important part examples in other disciplines, for moving research forward of tracking code changes in research. This workshop will give an using thoughtful curation, which we define as access, cleaning, overview and instruction on using the Docker, Git and GitHub selection, and analysis, with an eye toward a theoretically tools and platforms. relevant objective. In an active learning workshop, we review a methodology for curation, describe a practical skillset with Laptops are required to take full advantage of this session. freely-available tools, and provide participants with a hands-on Please check the online program to see if there are any experience of working through a high-quality example. additional software requirements for this session. Laptops are required to take full advantage of this session. Please check the online program to see if there are any Wrangling Big Data for Data-Driven Research: additional software requirements for this session. Hands-on With Apache Spark and Jupyter Notebooks Social Data Science and Deep Learning Hands-on Wednesday, 18 April 2018 - 14h 15 - 15h 45 Lab Active Learning Workshop Wednesday, 18 April 2018 - 14h 15 - 15h 45 39MS02 Classroom Active Learning Workshop Scott Jensen, San Jose State University 33MS01 Business Insights Lab Data scientists spend 80% of their time doing data wrangling David Lopez, University of Exeter due to the messy nature of Big Data. However, as noted by DJ Patil, the U.S. governments first chief data scientist, data Social Data Science, an emerging area of research, helps us wrangling does not just get in the way of solving problems, it is understand big issues of crucial interest to the social sciences, the problem. An ability to work with Big Data is a valuable skill industry, and policy-makers including political behaviour, for college graduates and can also empower faculty to explore interpersonal relationships, market design, group formation, new avenues of research. In this workshop we will dive into identity, international movement, ethics and responsible ways working hands-on with Apache Spark and Jupyter notebooks in to enhance the social value of data, and many other topics. a cloud-based environment. This combination of tools is one of Conducting social data science in practice can be challenging the hottest platforms for data science and Big Data due to its though as researchers need to master not only the ability to ability to interactively explore data, enable reproducible formulate relevant hypotheses but at the same time must be research, and allow research collaboration and sharing. capable of working with large volumes of heterogeneous data and apply advanced statistical concepts and techniques. In this Laptops are required to take full advantage of this session. regard the present proposal tries to provide a gentle Please check the online program to see if there are any introduction to deep learning (DL) techniques and how DL can additional software requirements for this session. be applied in social data science and econometrics.
Laptops are required to take full advantage of this session. Please check the online program to see if there are any additional software requirements for this session.
Page | 29 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
Closing Panel Discussion calculations in a dashboard you can take with you at the end of Wednesday, 18 April 2018 - 14h 15 - 15h 45 the session. Doctoral Consortium Since most of the workshop will be focused on hands-on Rik Medlik Lecture Theatre (03MS01) training, you will need to download Tableau Desktop prior to the session. We offer everyone a 14-day trial to Tableau Tanya Bondarouk, University of Twente Desktop, so by downloading the product you will be able to use Dana Minbaeva, Copenhagen Business School it during the session. Dursun Delen Janice Pittman, Aerial Stratgic Enterprises Use this link to download the latest version of Tableau. Please Margaret White, Maynooth University note that for teachers, students, and researchers working on
non-commercial research projects, Tableau is free. For more WEDNESDAY The day's breakout sessions will be followed by a panel information, please visit http://www.tableau.com/academic. discussion with all breakout presenters. Laptops are required to take full advantage of this session.
Please check the online program to see if there are any additional software requirements for this session. Publishing in the Academy of Management Perspectives Using Machine Learning to Predict and Explain Wednesday, 18 April 2018 - 14h 15 - 15h 45 Employees Leave Behavior to Support HR-related Active Learning Workshop Decision-making Processes 33MS03 Classroom Wednesday, 18 April 2018 - 16h 00 - 17h 30 Mike Wright - Imperial College Business School Active Learning Workshop 32MS03 Classroom The session will focus on publishing in AMP in terms of: what is the distinctive mission and scope of AMP, what the editors look Maria Johanna Dragt, Nyenrode Business Universiteit for in AMP articles and symposia, AMP articles as part of your Pascale Peters, Radboud University Nijmegen publication strategy, an anatomy of an AMP proposal and Robert J. Blomme, Nyenrode Business Universiteit article/symposium, and open questions from the audience about ideas for publishing in AMP and how to craft them. In this interactive workshop, participants will learn how to employ a simulated dataset (Kaggle: Laptops are required to take full advantage of this session. https://www.kaggle.com/ludobenistant/hr-analytics) to build a Please check the online program to see if there are any machine learning model to both predict and explain whether additional software requirements for this session. employees will leave their employer or not and the reason(s) why they may do so. The data comprise a wide range of topics which allow to explain employees' leave behavior in relation The Beautiful Science of Data Visualisation with A) organizational factors (department); B) employment Wednesday, 18 April 2018 - 14h 15 - 15h 45 relational factors (i.e., tenure, the number of projects Active Learning Workshop participated in; the average working hours per month; objective AP 1 Austin Pearce Lecture Theatre career development; salary); and C) job-related factors (performance evaluation; involvement in workplace accidents). Thierry Driver - Academic Program Manager Ȕ EMEA During the workshop, participants will follow several steps to Geraint Davies - Product Consultant explore the data and build a machine learning model to predict whether an employee will leave or not, and why. Seeing and understanding data is richer than creating a collection of queries, dashboards, and workbooks. You will see Laptops are required to take full advantage of this session. how visual and cognitive science explain what makes data Please check the online program to see if there are any visualization so deeply satisfying. Why does a collection of bars, additional software requirements for this session. lines, colors, and boxes become surprisingly powerful and
meaningful? How does fluid interaction with data views multiply our intelligence? Tableau Software helps people see and understand data. During this workshop, participants will get a short introduction to Data Visualization, including visualization concepts. The rest of the session will be hands-on where you will learn the fundamentals of Tableau, including how to connect to data, answer statistical questions, build maps, and apply some table
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 30 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ The Tip of the Iceberg: Leveraging Microsoft Excel Advanced Techniques for Web-Scraping as a Big Data Analytics Tool Wednesday, 18 April 2018 - 16h 00 - 17h 30 Wednesday, 18 April 2018 - 16h 00 - 17h 30 Active Learning Workshop Active Learning Workshop 39MS02 Classroom 80MS02 Classroom Dainis Zegners Donna L. Haeger, Cornell University Jrg Claussen, LMU Munich Michail Batikas, LMU Munich Analytics is becoming a ubiquitous competency impacting Christian Peukert, Catholica Lisbon businesses enterprise wide locally and globally, making it as critical today as reading and math. This professional We propose an active learning workshop on advanced web- development workshop will be a live tutorial. Participants will scraping techniques. Typical workshops and web-materials only use personal laptops to work along as we leverage Microsoft provide basic knowledge for small-scale data collection. Excel as a business analytics tool. Demonstrations in However, modern websites and online platforms offer a wealth descriptive, predictive and prescriptive modeling will be of data to researchers that is only accessible with more employed and learned. Terminology related to digitization will advanced techniques. Therefore, this workshop will provide be outlined, clarified and related to Excel. Several more participants who already have a knowledge of basic techniques WEDNESDAY advanced modeling techniques will be showcased and with advanced tools for their own data-collection projects. We participants may choose to work along or learn through will discuss topics such as choosing an effective web-scraping observation. The workshop will close with an interactive strategy, accessing websites through APIs and Selenium, scaling discussion around the key tenets of presenting analytic results web-scrapers using cloud-based solutions such as Amazon EC2 to different audiences. Instructional review videos could also be and using Machine-Learning-based methods to analyze made available to participants after the session. resulting large-scale data-sets. During the workshop, we will emphasize a hands-on approach with participants actively Laptops are required to take full advantage of this session. solving exercises enabling them to effectively build their own Please check the online program to see if there are any web-scrapers. additional software requirements for this session. Laptops are required to take full advantage of this session. Please check the online program to see if there are any From Zero to Data in 90 Minutes: An Introduction additional software requirements for this session. to R for Web Scraping Wednesday, 18 April 2018 - 16h 00 - 17h 30 Active Learning Workshop 75MS02 Classroom
Patrick Downes, Rutgers University
The internet houses an enormous amount of data that are relevant to managing organizations. Although accessing and structuring this data has traditionally been a challenge for
management researchers, the R statistical environment has a number of well-developed packages for retrieving and organizing web documents. This workshop is intended to facilitate scraping this variety of data from online sources. Participants in the workshop will learn to utilize R to read and organize data presented on a variety of websites. Prior R experience is not required, although bringing a computer with R and RStudio pre-installed is highly recommended. Laptops are required to take full advantage of this session. Please check the online program to see if there are any additional software requirements for this session.
Page | 31 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
Natural Language Processing 101 Turning Text Course Design for Big Data Capability into Data and Insights Development Wednesday, 18 April 2018 - 16h 00 - 17h 30 Wednesday, 18 April 2018 - 16h 00 - 17h 30 Active Learning Workshop Active Learning Workshop 72MS03 Classroom 32MS01 Classroom Roman Jurowetzki Albrecht Fritzsche Barbara Dinter, TU Chemnitz The majority of data created today is unstructured (e.g. imagery, audio, video and text). Language data represents a rich Quickly emerging fields like Big Data create a pedagogic but often untapped data source for management and more challenge, as they demand a fast and focused build-up of WEDNESDAY WEDNESDAY generally social science research. The proposed workshop is a competences in academia and industry. In our active learning condensed and broad introduction to the field of Natural workshop, we will train the participants in systematic course Language Processing (NLP). Attendees will be introduced to design for big data teaching. We give a comprehensive overview core concepts and techniques of NLP including the pre- of the different dimensions which have to be considered in processing-pipeline, various simple frequency-based analyses, order to put a suitable course together and explain the various sentiment analysis, latent semantic analysis and different design options available in each dimension. In addition, we visualisation approaches. The tutorial will use code examples in present best practices and experiences that we gained in Python providing references to alternatives in other analytical academia and executive education. Furthermore, participants environments. The workshop will utilise browser and cloud- get the chance to design their own big data training course. In a based Jupyter Notebooks, meaning that participants will not be roundtable discussion, the resulting designs will be discussed required to install any software on their machines. Please and evaluated with respect to their effectiveness and feasibility consider also my short video-presentation: in different contexts. https://youtu.be/lw1EO-5lQMo Laptops are required to take full advantage of this session. Laptops are required to take full advantage of this session. Please check the online program to see if there are any Please check the online program to see if there are any additional software requirements for this session. additional software requirements for this session.
Online Learning Analytics: Using Student Data to Introduction to Data Science using Python Improve Learning Wednesday, 18 April 2018 - 16h 00 - 17h 30 Wednesday, 18 April 2018 - 16h 00 - 17h 30 Active Learning Workshop Active Learning Workshop 34MS01 Business Insights Lab 33MS01 Business Insights Lab JeAnna Lanza-Abbott, University of Houston Ryan Baltrip James Johnston II Online courses generate an abundance of data. Instructors may Python is the one of the most popular programming languages or may not know about this data or understand how to use it today and a useful tool in the data scientist's tool belt. The goal effectively. This workshop surveys the types of learning of this active learning workshop is to introduce the basics of the analytics generated in an online course, how they can be Python language to participants and to familiarize attendees utilized in a current online course, and how they can be used to with the various tools to code and build data science models in improve (or revise) an online course before its next offering. Python. The content of the session will include: An introduction During the workshop, participants will work in small groups to to the Python language, Installing and Configuring Python using analyze case studies with online learning data, present their the Anaconda distribution, Installing and Managing Packages, thoughts, and build a list of ideas on how best to use the data. Using Data Structures, Accessing and Manipulating Data and By the end of this workshop, participants will leave with both a Coding Control Flows and Functions. At the end of the workshop general framework for how to explore online learning data and there will be a walkthrough of a simple data science model to a specific action plan for their course(s). see how it all works together and learn some basic data science fundamentals. Laptops are required to take full advantage of this session. Please check the online program to see if there are any Laptops are required to take full advantage of this session. additional software requirements for this session. Please check the online program to see if there are any additional software requirements for this session.
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 32 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ Strategizing in a Digital World: Introduction to Welcoming Reception the Special Issue and Paper Development Wednesday, 18 April 2018 - 18h 00 - 19h 30 Workshop Lakeside Restaurant Wednesday, 18 April 2018 - 16h 00 - 17h 30 A Welcome Reception for all delegates, hosted in Lakeside Active Learning Workshop Restaurant and the foyer of the Rik Medlik. A great opportunity 33MS03 Classroom to network and create connections with colleagues from across the globe. Henk Volberda - Rotterdam School of Management Saeed Khanagha - Radboud University Nijmegen Oli Mihalache - VU Amsterdam This workshop is aimed at supporting authors in developing their papers for submission in a future Long Range Planning Special issue. The workshop is primarily targeted to those researchers who have an ongoing paper revolving around the idea of the special issue and seek to receive feedback from the
WEDNESDAY guest editor to further develop their research before submission. The complete Call is available here: https://www.journals.elsevier.com/long-range-planning/call- for-papers/strategizing-in-a-digital-world-implications-for- strategy-pr Laptops are required to take full advantage of this session. Please check the online program to see if there are any additional software requirements for this session.
Self-service Data Recovery with IBM Watson Analytics Wednesday, 18 April 2018 - 16h 00 - 17h 30 Active Learning Workshop AP 1 Austin Pearce Lecture Theatre Wayne Isaac, IBM IBM Watson Analytics is a smart data analysis and visualization service on the cloud that helps users quickly discover patterns and meanings in their data Ȕ all on their own. With guided data discovery, automated predictive analytics and cognitive capabilities such as natural language dialogue, users can interact with data conversationally to get answers they understand. This workshop will introduce IBM Watson Analytics and Watson Analytics for Social Media, including a hands-on Watson Analytics workshop to explore the power of the tool. Laptops are required to take full advantage of this session. Please check the online program to see if there are any additional software requirements for this session.
Page | 33 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
Keynote Address by Paul Y. Mang: Entrepreneurs, synchronicity theory to explain such factors. Using interview Coffee Shops, and Pirates data, participant observation and quantitative user data, I Thursday, 19 April 2018 - 08h 30 - 09h 30 emphasize the importance of appropriation factors for Keynote convergence communication processes. This finding Rik Medlik Lecture Theatre (03MS01) contributes nuance to the understanding of media synchronicity theory and the inhibiting factors of knowledge Aon Corporation Paul Y. Mang - sharing via social software in inter-organizational settings. Paul Mang is a Senior Advisor at Aon plc, a leading global Cross-domain Online Social Networking and Job/Life professional services firm providing a broad range of risk, Satisfaction retirement and health solutions. Paul has led the Aon enterprise analytics function in the past, as well as served as the global Farveh Farivar, University of Tasmania CEO of analytics for Aon Benfield, the Groups reinsurance Julia Richardson, Curtin Business School, Curtin University services business. Drawing on a web-based survey of 379 white-collar employees, Paul is also currently the Managing Partner at Avarie Capital this paper examines the impact of cross-domain online social LLC, a strategic advisory and investment firm focused on networking on job satisfaction and life satisfaction. Using FinTech new ventures in Silicon Valley and London. boundary theory we conceptualize cross-domain online social networking as comprising online enterprise networking and Paul was formerly a Partner at McKinsey & Company and a cyberloafing. Using Fuzzy-set Qualitative Comparative Analysis leader in its North American Financial Services group. Over 14 (Fs/QCA), the reported findings suggest that these activities years at McKinsey, in both the Chicago and London offices, he have a negative impact on both life satisfaction and job has counseled numerous clients on issues across strategy, satisfaction, respectively. Thus the paper challenges organization and operations. Before joining McKinsey, Paul was contemporary ideas about the value of cyberloafing for on the faculty at The University of Texas at Austin, Graduate reducing employee stress and increasing employee School of Business. His research in technology strategy, performance. The implications for organizational practice are entrepreneurship, and innovation management has been discussed along with avenues for further research. published in journals such as Strategic Organization, Journal of Economic Behavior and Organization, Research Policy, and The Matter with Gender: The Dynamic Intersect of Gender and THURSDAY McKinsey Quarterly. Social Media Affordances Paul is an active guest speaker at global industry conferences Emmanuelle Vaast, McGill University and corporate leadership events on data and analytics. He Paul Leonardi, UC Santa Barbara holds a doctorate from Harvard University, and MS engineering This study examines how social media affordances interplay and BA degrees from Stanford University. with gender, i.e., how peoples use of social media turns its action potentials into outcomes associated with gender dynamics. It builds upon scholarships on technology Social Media at Work affordances, social media use at work, and a critical realist Friday, 20 April 2018 - 13h 15 - 14h 45 perspective on gender. It engages in an in-depth qualitative Paper Session investigation of data scientists, a new, predominantly male, 80MS0 2 Classroom highly skilled occupation, to examine their use of social media and their experience of gender dynamics. It explains how data Papers in this session examine how the social construction of scientists actualized affordances of social media in ways that, social media affects employee behaviors at work. individually and collectively, intersected with the tendencies that gender afforded in data science. Findings from this study The Importance of Appropriation Factors for Knowledge Sharing add to research on technology affordances, on gender and via Social Software: The Case of Refugee Integration in Germany technology use, and on social media in work-related contexts. European Business School (EBS University) - Andreas Hesse, Germany
Knowledge sharing via social software is a phenomenon that gains in importance, especially for inter-organizational collaboration. However, it remains a challenge to encourage organizational members to actively use social software platforms. Previous research acknowledges the potential of social software for various communication tasks, mostly in intra-organizational enterprise settings, but little is known about factors inhibiting or driving knowledge sharing via social software in cross-sector social partnerships. I draw on media
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 34
CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ e-HRM in the Digital Organization implementation and its consequences? The analysis of 40 Thursday, 19 April 2018 - 09h 45 - 11h 15 interviews with HR professionals, IT and Business leaders was Paper Session based on the configuration of three groups of factors, Technology, Organisation, and People, that are responsible for 33MS03 Classroom the implementation and consequences of digital HRM. We Papers in this session examine how digital HRM affects and is discovered more than 30 perceived factors responsible for the affected by organizational contexts. digital HRM implementation, and more than 30 perceived consequences. The comparison with the similar research a E-HRM Configurations: An Explorative Analysis of Types, Drivers decade ago allows to show nuanced differences in how and Outcomes of Digital HRM businesses experience and interpret the digital HRM Mattia Martini, U. of Milano-Bicocca implementation. Dario Cavenago, U. of Milano-Bicocca Making Sense of People Data: How Organisations are (not?) This paper aims to investigate types, drivers and outcomes of e- Moving from eHRM to Workforce Analytics HRM configurations to get a deeper understanding of the Andy Charlwood, University of Leeds reasons, kinds and success of adoption of digital HRM. The Nigel Dias paper draws on an online survey administered to HR directors of 176 companies operating in Italy. Hierarchical cluster Why have some organisations made more rapid progress in analysis were employed and three digital HRM configurations developing workforce analytics capabilities than others, and emerged - non-users, relational-users, and power-users which why does HR lag behind other areas of management in the distinguish different purposes for using web 2.0 in HRM. The adoption and use of analytics technologies? This paper seeks to three e-HRM configurations relate to some contextual variables answer these questions through a qualitative study drawing on economic sector, size, and HR and business strategies - while auto-ethnography, semi-structured interviews with workforce they do not present differences in terms of organizational analytics leaders in large global organisations and systematic performances. Results highlights that universal type of e-HRM analysis of biographical information on study participants. The does not exist and that the degree of digital support in HRM Gioia method of grounded theory development (Gioia et al. depends on organizational characteristics. 2013) will then be used to analyse the corpus of data generated by the study. Human Resource Management and Value Creation in the Digitized Economy: Toward a Taxonomy and Conceptual Framework Big Data, AI, and Automation: Implications for Jeroen Meijerink, University of Twente Strategy Management THURSDAY Milou Habraken, University of Twente Thursday, 19 April 2018 - 09h 45 - 11h 15 In the proposed conceptual paper, we aim to develop a Paper Session taxonomy that unites the different views on what constitutes 75MS02 Classroom the digitized economy into three digitized economy domains and (2) advance a conceptual framework that outlines how HRM Artificial intelligence, collection of big data, and machine contributes to customer value creation in each of these three intelligence are having a profound effect on the practice of domains. We advance the idea that cutting-edge digital management. In this session, we will explore how these technologies only add to customer value when HRM enables technologies influence corporate strategy and the ethical and motivates service employees to adopt different value co- implications thereof. creator roles. In doing so, we add to the discussion on the Strategy In The Age Of Intelligent Machines changing role of HRM in digitized economy by proposing a new mindset for HRM which moves away from viewing HRM as acting Robert Wuebker, University of Utah upon employees towards one that co-creates value with Richard Saouma employees. Anita McGahan, Rotman School, University of Toronto The Evolution of Top Factors In Digital HRM: Results of Forty This paper considers how the revolution in data collection, Interviews management, and computation might influence the formulation of corporate strategy. We argue that although Tanya Bondarouk, University of Twente digitization has had far-reaching influence on firm performance Maartje Kuipers through improved efficiency and productivity, its greatest value Dionne Démeijer will be realized in its application to strategy formulation, and its This explorative study was inspired and guided by two greatest impact on organizations will be the transformation or questions. How has the usage of digital HRM evolved over past obsolescence of top management. fifteen years? What are the changes in how businesses view digital HRM, reasons for its introduction, success factors for its
Page | 35 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
Incorporating Industry 4.0 in Firm Strategy recently, the principles of Agile Manifesto have also emerged as guidelines for organizations continuously seeking to develop Anirudh Agrawal, TechQuartier and adopt innovations. Hence, the expression Agile The purpose of the firm is to maximize value for its shareholders Organization arose. Notwithstanding this interest, Agile and stakeholders. Industry 4.0 is a new terminology platform Organizations' traits still have to be conceptualized. Yet, the that brings together manufacturing, IOT, big-data, design role of Big Data Analytics capable information systems has been thinking, human-machine singularity on one platform. It is neglected. In this perspective, the research aims to develop a considered as the next disruptive platform that will transform framework assessing why Big Data analytics capabilities are the production system and will increase the human fundamental for organizations aiming to follow Agile productivity. There is very little information on the Industry 4.0 Organization's principles. Implications of the potential role of and its impact on firm strategy. Knowledge tells us that increase such information systems on innovation development and in productivity decreases margins at the market level and adoption, performance and organizational flexibility are also increases margins in a growing market. This article discusses presented. the position of industry 4.0 within the firm strategy and how it Technological Embeddedness of Inter-Organizational may impact firm performance. Collboration Processes Towards an Ethical Management Framework for Artificial Katharina Cepa Intelligence Henri Schildt, Aalto University Matthes Fleck, Lucerne School of Business Big data technology challenges our existing conceptions of Kateryna Maltseva, BI Norwegian Business School inter-organizational collaboration processes in two ways. First, More and more machines with artificial intelligence (AI) take big data technology creates real-time digital traces of inter- over tasks in everyday life. The use of machines and AI is often organizational processes, producing far greater operational appealing to managers. Thus, it is vital to managers to know transparency across formal boundaries than previously. how to use artificial intelligence and machines to execute Second, big data technology provides digital channels that business tasks. However, experts in AI warned about the improve the ability of collaborating organizations to coordinate negative consequences that might occur by wrong use of those tasks across formal boundaries. Jointly, operational
technologies. Some even created dystopias of human extinction transparency and digital channels enable real-time THURSDAY based on AI. We, therefore, conclude that despite technical and coordination of complex tasks across organizational boundaries economic considerations also ethical considerations are that is often as fluent as within organizations. We coin the term necessary for the sustainable use of AI and related technologies. technological embeddedness to characterize the augmentation Our proposal aims at describing the outline of a conceptual of inter-organizational processes through data flows. We paper developing an ethical management framework for elaborate the implications for five themes in inter- artificial intelligence that is targeted at the interface of organizational collaboration: trust, sensemaking, rhythms of management academics and practitioners. interaction, co-adaptation, and interdependence. We conclude with a discussion of future research opportunities.
New Technology in Personnel Selection Organizing around Big Data Thursday, 19 April 2018 - 09h 45 - 11h 15 Sara Ahmed, The University of Surrey Poruz Khambatta, Stanford University Paper Session 80MS02 Classroom Rapid changes in selection technologies have impacted inexorably the science and practice of personnel selection in These papers investigate how digitization can facilitate recent years. Technological advances are allowing knowledge creation and sharing, as well as value capture. organizations to use new internet-based selection procedures Reframing Agile Organization. Does Big Data Analytics (IBSPs) as well as big data and analytics to make empirical- Capabilities Matter? based employment decisions by collecting and analyzing the digital footprints that job applicants leave behind them in social Riccardo Rialti, University of Florence networks, social media and other internet platforms. The aim of Giacomo Marzi, University of Lincoln, Lincoln International the paper is to make a contribution to these important and Business School emerging issues by reviewing the literature in this area and Cristiano Ciappei, University of Florence, DISEI - Department of designing a study to examine applicant privacy and fairness Economics and Management reactions to 10 types of new selection procedures. It also aims Andrea Caputo, University of Lincoln, Lincoln International to examine the application of these new selection and Business School assessment practices in organizations across 10 countries. The Agile Manifesto has become the mantra for software developers seeking to create innovative software. However,
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 36 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ What Does a Digital Organization Look Like? capacity for spontaneous innovation. We also propose a Thursday, 19 April 2018 - 09h 45 - 11h 15 knowledge generativity frontier, which represents the inherent Paper Session trade-off between the degree of governance centralization, and the crowds capacity for knowledge generativity. We provide a 34MS01 Business Insights Lab framework with three types of crowd organizations: crowd- These papers look at how digital organizations are designed driven, crowd-based, and crowded. This framework enhances and configured. our understanding of how external agents can strategically access crowds knowledge and capacity to generate innovation AI Openacity: Organizational Objectives, Policies and Practices spontaneously in a digital era. Glen Whelan, York University Whilst organizations play a major role in artificial intelligence
(AI), the complexity of their policies and practices, and the Data Security objectives driving them, have hitherto escaped structured Thursday, 19 April 2018 - 09h 45 - 11h 15 analysis. In recognizing that AI developments, and those Paper Session relating to deep learning in particular, can be simultaneously 72MS03 Classroom characterized by openness and opacity, we here advance an Privacy and security in the digital economy. openacity framework that begins redressing this lacuna. By disaggregating between three different levels (information, On Digital Innovation, Generativity and Control Bazaars, knowledge, computation) of AI policies and practices that can Cathedrals or What Else? be more or less open and more less opaque, and by Gunnar Holmberg, Saab AB differentiating between four objectives that organizations can Nicolette Lakemond, Linkping University be singularly or multiply informed by, the openacity framework Anders Pettersson provides a first step in guiding and explaining organization led Dag Swartling AI developments. Digital technology is increasingly integrated in industrial Organizing for Smart Manufacturing applications and alters existing system architectures and Emilio Bartezzaghi innovation processes. This paper explores platform and Raffaella Cagliano, Politecnico Di Milano application strategies based on an empirical case study of Filomena Canterino, Politecnico Di Milano avionics at the Swedish firm Saab Aeronautics. The paper Annachiara Longoni, Fundacin ESADE-Esade Business School complements perspectives on digital innovation in relation to open source software development and systems such as mobile The technological revolution, including Smart Manufacturing, is THURSDAY operating systems with applications, and points at limitations changing manufacturing paradigms and gaining attention both of organizational metaphors as bazaars and cathedrals. The from the practitioners and the academic arena. However, the results recognize that there is more to a city than a bazaar and a majority of contributions focused on technological cathedral and show that the development toward digitalization consideration, disregarding its organizational implications. This necessitate industrial firms to consider safety-critical and study aims at providing evidences of the role of the workers and security aspects while allowing for generativity based on the organizational configuration as core elements of smart recombination through system partitioning enabling different manufacturing implementation, with automation reducing not- control and generativity priorities for different parts of the added value activities and consequently enriching the job system. content at both individual and group level. For doing so, results of a multiple-case study are presented, analysing five Managing Privacy, Rights, and Security in a Digital Economy companies that decided to implement smart manufacturing Spyros Angelopoulos, Tilburg University projects. Findings provide insights on the suitability of people- Derek McAuley, University of Nottingham centric organizational model for smart manufacturing. Yasmin Merali, University of Hull Defining the Crowd Organization Richard Mortier, Cambridge University Dominic Price, University of Nottingham Joana Pereira, Leeds University Business School Gianluigi Viscusi, EPFL We focus on the issues of managing Big Data within a Digital Christopher Tucci, Ecole Polytechnique Fdrale Lausanne Economy, and address the asymmetrical distribution of power between the originators of data and the organizations that This paper focuses on crowds for innovation, investigating the make use of that data. We propose a framework to overcome differences between online crowds and communities, and the many of the challenges associated with storage, analysis, and governance modes that firms can apply to organize crowds. To integrity by taking a systemic perspective, shifting from a user- this end, we define crowd organizations as made up of loosely- provider relationship to a more symbiotic one in which control coupled, serial, and equally aligned agents that achieve their over access to user data resides with the user. We present our goals through emergent norms, thus, enacting generativitythe
Page | 37 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
framework, which combines the principles of Separation of Social Media Platforms, Analytics, and User Concerns and Distributed Computing, and discuss its Engagement implications as well as its limitations. Friday, 20 April 2018 - 15h 00 - 16h 30 Data (and) Responsibility Paper Session Anna Grosman, loughborough university 80MS02 Classroom Simon J.D. Schillebeeckx, Singapore Management University This session discusses the design of social media platforms and Rashik Parmar, Imperial College its effect on user engagement. Jakob Haesler, OECD Big Data and Media Platforms: Celebrity Organization in the Era We investigate the role firms play in dealing with data of Attention Economy protection. We draw parallels between the ethical challenges regarding data capabilities and other social issues that over Grace Yan, University of South Carolina time have instigated the evolution of corporate responsibilities. Nicholas Watanabe, University of South Carolina Our contention is that we can learn from the history of social Brian Soebbing, University of Alberta issues in management and corporate social responsibility to Michael Naraine, Deakin University clarify under which conditions new issues become the The present research investigates the dynamic relationships prerogative of firm social responsibility. Our review suggests between television viewership and activities on social that issues evolve into responsibilities if the value creation networking microblogs (e.g., Twitter, Facebook) utilizing Big potential underlying the issue is significant (condition) and if Data. The premise of this study is situated in the understanding specific pivotal events (trigger) heighten attention from policy that in a digital era with explosive growth of information, makers and civil society. We examine under which conditions various media platforms are constantly competing for attention organizations assume new responsibilities to either create value from consumers, which challenges organizations to establish from data or attenuate the risk of value destruction. and maintain the intangible asset of celebrity. Specifically, Taking Big Data Provenance Seriously: A Reference Framework television viewership and social network activity data are to Enhance Transparency of Text Mining Processes & Tool Use collected for the 2014-15 National Collegiate Athletic Association football season. Estimating Granger causality and
Bijan Azad, American University of Beirut panel regression, the main findings show that television ratings THURSDAY Fouad Zablith, American University of Beirut and viewership precedes and predicts social media usage. The Ibrahim Osman, American University of Beirut findings raise greater need to understand the nature of Big data provenance as a systematic and comprehensive attention economy across various platforms through the use of approach to transparency is attracting increasing scholarly Big Data. attention. Our paper contributes to this stream of research by You Talking to Me? The TED digital infrastructure as a proposing a systematic integrated reference framework that Recognition Device provides for greater provenance in the context of text mining tools and processes. First, we propose that the logic of what-if Heidi Gautschi, IMD analysis can enable judicious but explicit trade-offs among key Gianluigi Viscusi, EPFL provenance functionalities with advantages over the taken-for- This article investigates the TED digital infrastructure for granted approaches to transparency. Second, we propose that translating Science and Technology projects. Specifically, we the following five elements can contribute to enhancing seek to investigate the TED infrastructures generative provenance: link-ability, traceability, persistence, parametric mechanisms and their relation to valuation mechanisms and design and visualization. Third, we suggest that these elements practices. The research adopts a critical research stance with a can be integrated into a holistic provenance reference critical realist perspective. Our arguments follow the six framework. Fourth, we operationalize this reference framework principles for the conduct of critical research in information as prototype provenance engine to demonstrate the feasibility systems proposed by Myers and Klein (2011), in particular the of our approach. principle of using core concepts from critical social theorists and the principle of revealing and challenging prevailing beliefs and social practices, thus potentially contributing to individual emancipation from digitally enabled valuation practices as well as to improvement of society by questioning the role of a digital public sphere in the selection of ideas and innovation paths worth spreading.
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 38 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ Fan Engagement on Twitter: Evidence from Euroleague light on how platform owners can manage these connections on a technical and organizational level. Through an in-depth field Burçin, Güçlü, BES La Salle study of the Philips Hue connected lighting platform ecosystem Social media receives growing interest from sports executives. we find that complementors create an increasingly complex Yet, very little is known about how to quantify the fan web of connections by adding to the platform, bridging engagement during an event cycle. By exploring tweets platforms, and embedding in other platforms. We show that in generated during Turkish Airlines Euroleagues Final Four event, the resulting ecology of platforms, platform owners cannot rely we studied how fans connect to social media, how they respond only on arms length relationships; partnerships involving more to game results, and how their event engagement is different intensive interactions are needed for the type of complex from their team engagement. We found that main source of connections. tweets was smartphones while tablets were not among popular The Freedom to Innovate: A Comparative Analysis of Property real time feedback devices. Using sentiment analysis, we found and Commons-Based Digital Infrastructure that favorable reactions were received when teams won, but the magnitude of unfavorable reaction was larger when teams Jianhua Shao, City lost. We also found that the organizer received higher positive Yossi Lichtenstein, University of London feedback compared to the teams. Stefan Haefliger Digital infrastructure permeates and drives technological advances and business ecosystems today. A comparative Platform Openness and Control analysis of actual deployment of infrastructure components by Thursday, 19 April 2018 - 09h 45 - 11h 15 entrepreneurial Web and mobile App commerce companies Paper Session sheds light on the effect of infrastructure ownership on 81MS02 Classroom downstream innovation. Our analysis makes two contributions to the debate on commons and property-based digital This sessions discusses a fundamental question of platform infrastructure. First, both commons-based platforms and research: How open and "controlled" should a platform be? property-based platforms promote the deployment of open Supplier Experience in Multi-sided Digital Retail Platforms source and free infrastructure components that foster innovation, yet the components differ in price and whether they Anssi Smedlund are developed and maintained by communities, firms, or Mikko Hänninen, Aalto University School of Business individuals. Second, the ownership of infrastructure influences In this paper, we study supplier management in the context of downstream participation choice because experimentation and multi-sided digital retail platforms by integrating the theories of monetization on property-based platforms is often curtailed.
THURSDAY customer experience and engagement with anecdotal evidence We discuss implications for information systems research, from three leading global digital retail platforms. Firms can policy, and management practice. differentiate by offering superior customer experience, but This Is Not VHS Versus Betamax! The Development of Platform managing supplier experience in digital business has been left Strategies in Home Automation understudied. Along with the emergence of multi-sided digital platforms in retail, there is an increasing need to focus on the Hans Berends, VU University Amsterdam supplier management in these new types of business models. Fleur Deken, VU University Amsterdam We compare leading multi-sided digital retail platforms to show Jochem Hummel, VU Amsterdam that the platform owners have in place supplier engagement Dennis van Kampen, VU Amsterdam processes. Based on our study we propose that supplier This study set out to extend theory on platform development engagement processes facilitate relational ties between the strategies using a comparative, inductive study of 94 home supplier and the platform thus increasing supplier lock-in. automation platforms. We selected home automation because Complementors as Connectors: Open Innovation in Digital companies have entered this domain from very different Product Platforms backgrounds and the sector is still in the period of turbulence and fluidity, making it more likely to find variety in strategies Susan Hilbolling, KIN Research, VU Amsterdam and developments. We identify five platform strategies: closed Hans Berends, VU University Amsterdam platforms, orchestrator platforms, connector platforms, Fleur Deken, VU University Amsterdam complementor platforms, and mixed platforms. We find that Philipp Tuertscher, VU University Amsterdam choice of platform strategy depends on the firms or Through open, standardized interfaces, autonomous third entrepreneurs entry conditionsspecifically the presence of a parties can develop complementary products and services for pre-existing user base and complementary products. digital product platforms, but, at the same time, these third Longitudinal analysis shows that platform strategies develop parties also establish connections that span multiple platforms over time influenced by two pairs of dialectical forces, - beyond the control of the platform owner. This paper sheds consisting of opposite approaches for value creation and value appropriation.
Page | 39 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
New Communication Channels and Firm stakeholders do not fully understand. Through examination of Governance social media policy at an inter- and intra-industry level, we explore the role of coercive and memetic forces in seeking to Thursday, 19 April 2018 - 09h 45 - 11h 15 increase understanding of the boards role in risk management Paper Session in the face of changing social media risk factors. This paper AP 2 Austin Pearce Lecture Theatre seeks to demonstrate inter- or intra- industry policy similarities Papers in this session address different ways companies are or differences, presenting findings and recommendations for communicating and how stakeholders are reacting to these improving social media governance and risk mitigation at the choices. board level and in future research. Organizational Ambidexterity for Digital Innovation: The Opening up the Gates or Building Virtual Fences? The Approach of Digital Innovation Labs Conflicting Rationales Leading to Adoption of Virtual Shareholder Meetings Friedrich Holotiuk, Frankfurt School of Finance & Management Daniel Beimborn, Frankfurt School of Finance & Management Matthew Josefy, Indiana University Amanda Bree Josefy, Indiana University Digitalization requires firms to concentrate required capabilities around the development of digital innovation. This does often One key interaction between companies and their shareholders include changes to their organizational structure; in particular, has traditionally been the annual general meeting (AGM). firms are currently experimenting with setting up digital However, an increasing number of companies have opted to innovation labs (DILs), which present internal but separate units conduct virtual shareholder meetings (VSM). While rooting our dedicated to the development of digital innovation. However, work in the corporate governance literature, this paper seeks to there is limited knowledge on how DILs need to be integrate perspectives from the communications literature to organizationally designed in order to support digital innovation understand potential differences between virtual and face to success. In our case-based research, we will analyze whether face meetings. We argue that there are two diametrically and how DILs contribute to ambidexterity, i.e., a firms capability opposed rationales for adopting VSM. First, companies who to both explore and exploit new (in our study: digital) seek to isolate themselves from scrutiny may benefit from the innovations. The outcomes of our research will be synthesized absence of a face-to-face meeting. In contrast, firms seeking to in a framework for DILs and provide implications regarding the adopt leading governance practices may believe that ease of THURSDAY organizational design and guidelines to set up DILs. access justifies a virtual approach. We conclude the paper with a discussion of the potential contributions of this study. The Stakeholders Who Knew Too Much? How the Digital Age Decreased Stakeholder Influence over Corporate Conduct Michael Barnett, Rutgers University Governing the Individual in the Organization--- Irene Henriques, York University with Technology Bryan Husted, Tecnologico de Monterrey Thursday, 19 April 2018 - 09h 45 - 11h 15 The stakeholder literature has shown that when they have more Paper Session power, stakeholders can influence firms. However, this AP 1 Austin Pearce Lecture Theatre literature has not accounted for the effects of the digital age on These papers investigate a number of choices firms have for power battles between firms and their stakeholders. Herein, we monitoring and controlling people in their organizations. outline the ways in which information overload and social media affect when and how stakeholders seek to influence How does A Firms Choice of Hierarchy Versus Platform Mode of firms, as well as how these factors alter the outcomes of Governance Affect Knowledge Worker Behaviors around influence efforts. We argue that the quantities and qualities of Knowledge Creation, Profit Sharing, and Quitting? information flows in the digital age have fostered a cognitive Sirkka Jarvenpaa, University Of Texas-Austin rigidity that has made it harder for information disclosures to Huseyin Tanriverdi, University of Texas At Austin alter firm-stakeholder relationships. We develop a framework that accounts for the role of information management Firms seek to: (1) motivate employees to create knowledge, (2) capability on the outcomes of stakeholder influence efforts in minimize employees profit sharing claims over knowledge so the digital age. that the firm can appropriate the profits, and (3) attract and retain employees. Hierarchical mode of firm governance faces Examining Social Media Governance in the Age of Big Data challenges in achieving these goals simultaneously. We examine Shawna Weingartner, King's University College at Western how the new platform mode of firm governance addresses Trevor Hunter, King's University College at Western these goals relative to hierarchy. In an experiment and a field survey with professional software developers, we find that, This study represents one of the first attempts to understand relative to hierarchy, platform increases developers behaviors how corporate boards of directors are responding to the effects around: (i) knowledge creation; (ii) profit sharing claims; and (iii) of a disruptive technology that both their regulators and other
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 40 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ quitting the firm. Governance mode choice (hierarchy versus There are More Behind the Stars: Mining Latent Dimensions and platform) also affects territoriality of developers around the Customer Perceptions of Innovativeness from Online Review apps they develop, and territoriality mediates the relationships Texts between governance mode and knowledge creation, profit Frederik Situmeang, Hogeschool van Amsterdam sharing, and quitting behaviors. Zihou Zhang, University of Amsterdam The Relationship Between Agents and Stakeholders in the New The purpose of this study is to contribute to the management Era of Decentralized Autonomous Organizations literature and practice by extracting latent dimensions of Jonathan Anderson customer satisfaction and examining the relationship between Matthew Josefy, Indiana University restaurant attributes and customer satisfaction. Previous research in this field has largely relied on the qualitative survey This paper explores how agency costs manifest in blockchain or only quantitative ratings provided online. However, more based decentralized autonomous organizations (DAOs). Owners advanced techniques for text mining given the opportunity to of organizations incur agency costs when managers interests do extract meaning from customer online reviews. By analyzing not align with their own. Owners use incentives and information 51,110 online reviews for 1,610 restaurants over 7 states of systems to ensure alignment and reduce instances of moral America via LDA, this study uncovers latent dimensions that are hazard and adverse selection. Blockchain based DAOs present a determinants of customer satisfaction. By following the method new medium by which owners and managers can coordinate. outlined in this study, managers may perform similar exercise to This new medium allows governance to be automated and uncover their industry specific dimension and link them to transparent as opposed to subjective and opaque. We explain overall customer satisfaction score. how DAO structures align incentives between stakeholders and act as an information system to reduce agency costs and Would It Hurt to be Feminine? An Investigation of the Effects of improve coordination. Female Leads and Gender Specific Traits on the Enjoyment of The Governance of Wearable Devices in the Workplace: Blockbuster Movies Recognizing Issues of Network and Platform Governance and A Paulien Rouwendaal Call for Evidence-Based Implementation Guidelines Frederik Situmeang, Hogeschool van Amsterdam Ifeoma Ajunwa Lita Napitupulu, Radboud University This article traces new developments in the use of workplace This is the first study to explore the relationship between wearable devices and their implications for corporate character traits portrayed in a product and product enjoyment governance issues. Workplace wearable devices represent a by using Bechdels test. This research uses a sample of 23,466 type of mechanical manager with a knowledge-intensive IMDB user ratings from 590 movies released from 1919 to 2011. THURSDAY business service relationship as its impetus. The data-centric Our analysis showed that that neutral strengths Leadership and triadic relationship created between the organization, the Zest significantly increased product enjoyment compared to worker, and the wearable device platform conjures issues of other strengths. It was further revealed that, using Bechdels governance regarding both the network governance (the test, products with more developed female traits are enjoyed control/flow of the data) and platform governance (the just as much as male-centered traits. By exploiting big data, this ownership and use of the data). This article synthesizes the is the first study that use Bechdel's test in showing that female existing models for the adoption of wearables in the workplace centered characters and female involvement as lead in product to develop a framework to manage worker concerns of data development can lead to similar (if not higher) product usage and control and delineates a research agenda that could enjoyment. document evidence-based mechanisms for the successful Algorithmic Food implementation of workplace wearables devices. Lauri Paavola, Aalto University School of Business
Kathrin Sele, Aalto University School of Business
By focusing on the generative character of algorithms in the organizing of food, we explore how algorithms have empowered customers and their preferences while at the same time turned Big Data and Consumption food from a valuable good into a simple transaction. More in Thursday, 19 April 2018 - 09h 45 - 11h 15 particular, we analyze the changing nature of food retailing in Paper Session the UK over the last 20 years by theoretically focusing on the 39MS02 Classroom role algorithms and thus technology has played in its organizing. By shedding new light on how organizing of food Big data used to reveal consumer preferences and consumption has undergone tremendous changes, our study enhances the practices. current understanding of the impact Big Data will have on many organizational aspects and furthermore shows that we need to
Page | 41 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
get a better and more critical understanding of its Identifying and Describing Characteristics of Organizational consequences. Routines as Repertoires of Action Patterns, Degree of Routinization, and Enacted Complexity The Risk of Health-Related Layman Evaluated Platform (HLEP): The Consequences of Imperfect User Evaluating Strategies on Mathias Hansson, BI Norwegian Business School Online Health Q&A Platforms (WITHDRAWN) Brian Pentland, Eli Broad College of Business Thorvald Hærem, Michigan State University Chen Chen In this paper, we introduce a pattern-recognition approach Online health-related Q&A platforms (OHQPs), which mostly founded on sequence-analysis to operationalize and measure adopted Weike format, is a dominant unofficial channel for key characteristics of organizational routines such as repertoire patients to seek medical advice in China. This research raised a of action patterns, the degree of routinization, and enacted concern over whether the design features of OHQPs (e.g., a complexity. These characteristics are important concepts in combination of amateurish evaluators, swift turnaround and organization theory, but we still lack operational definitions and non-existing search function and peer rating system) could measures that can quantify routines in consistent manner. render them intrinsically inefficient in medical consulting. By While research on organizational routines has advanced analyzing online patients evaluation through natural language considerably, much of this work remains theoretical and processing over 3M Chinese texts of Q&A within six months, and qualitative in nature. The proposed measures quantify the comparing those to independent offline doctors evaluations of qualitative trace data and provide us with information on the 13k survey unites, I found that over 2/3 of time patients settled extent to which organizations operate in structured or for suboptimal medical advice, possibly due to confirmation unstructured manner, the size of repertoire of routines, and the biases and defense motivation, though they could have possibly complexity of work processes. These concepts has been overcome amateurism to make accurate evaluations via some theoretically linked to organizational effectiveness and rational strategy. performance. From Critical Mass to Key Players: A Network Approach to Big Data and New Directions in Platform Platform Design Yu-Hsin Liu, Kelley School of Business Research THURSDAY Thursday, 19 April 2018 - 09h 45 - 11h 15 In this essay, I generalize the structure of network effect from a Paper Session "two-sided market" to a pair-wised system. By adapting the AP 3 Austin Pearce Lecture Theatre adjacency matrix from the graph theory and the micro- foundation contributed from Ballerster et al. (2006), I discuss This session presents new theoretical and methodological the monetization strategy for the platform that confronts the perspectives in platform research using big and granular data. demand with pair-wised network effects, such as Facebook. I Network Structure and Digital Platform Development: aim to compare the business and welfare implications by Showcasing the Generation of Research Questions through pricing users directly and by pricing the third party (e.g. Inductive Analysis of Trace Data advertisers). I also aim to provide the first tractable competition model when consumers choose how much (time) to consume in Philipp Hukal, Warwick Business School each platform, instead of which "one" to consume, as this The link between the structure of developer networks and "multi-homing" behavior is common in the digitized world. actual development of digital platforms is understudied. In this short paper, we showcase how an inductive analysis of digital trace data from the OpenStreetMap platform aides the generation of research questions with high relevance for the
information systems field. We explore network structures and their effect on platform development on three levels; network, Ethical and Methodological Considerations for sub-network, and individual. Our findings indicate that the Management Research in the Digital Economy influence of structural properties of networks on platform Thursday, 19 April 2018 - 09h 45 - 11h 15 development differs across levels of abstraction. This motivates future research to move beyond the analysis of networks in Symposium their own right and instead explore the relationship between 33MS01 Business Insights Lab network structure and platform development in more detail to Angela Dy, Loughborough University London understand interaction of social and technical aspects of digital Sarah Glozer, University of Bath platforms. Christopher Carter Kellie Morrissey, Newcastle University Riza Batista-Navarro, University of Manchester
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 42 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ This symposium will give insight into some key methodological and ethical issues presented for management research in the context of the digital economy. Through considering a variety of Employee Well-Being in the Digital Economy research vignettes and multiple empirical applications, Thursday, 19 April 2018 - 13h 15 - 14h 45 including: challenges in social media research, digital research Paper Session with vulnerable individuals, and natural language processing 33MS03 Classroom data science, this symposium aims to advance the methodological conversation through examining ontological Papers presented in this session examine the influence of assumptions as well as current and best practice in data science productivity enhancing digital tools on employees' attitudes research with human subjects, with a view towards developing and well being. participants ability to address the unique methodological issues Big Data and Employee Wellbeing: Findings from a Seminar introduced by researching the dynamic and emergent digital Series economy context. We hope this will contribute to the development of rigorous methodological and ethical Carolyn Axtell, Sheffield University approaches in current and future digital economy research. Christine Sprigg Bridgette Wessels Stephen Pinfield Mark Taylor The Benefits and Challenges of Digitalization in Research and Practice This paper outlines the findings from a seminar series which Thursday, 19 April 2018 - 09h 45 - 11h 15 explored the possibilities for using Big Data in assessing health and wellbeing risks within organisations. The series involved Symposium participants from different disciplines, including work AP 4 Austin Pearce Lecture Theatre psychology, sociology, law and information science to explore Annika Lorenz, Utrecht University this issue from multiple perspectives. Six seminars focused on Gianvito Lanzolla different issues: work practices related to wellbeing, likely Giulia Solinas, University of Liverpool indicators of wellbeing, employee perspectives, organisational David J. Teece data use, legal/ethical issues and policy/research implications. Ronei Leonel, University of Memphis Four key themes were identified through the series that have Jonny Holmström, Ume University implications for practice and future research. These were: the Lars Bengtsson, Lund University need for qualitative interpretations when using Big Data; the Anne ter Wal, Imperial College Business School importance of employee ownership of the process of data collection and outcomes; the supportiveness of the THURSDAY Digital information technologies are substantially changing the organisational culture, and; the challenges of Big Data way in which firms operate and how they interact with each processing. other and the external environment. A key question only partially addressed in the strategy and in the technology and Human Responses to Digitalization-induced Change: Exploring innovation management literature revolves around the extent Mental Models of Industry 4.0 to which some of the core assumptions and conclusions Paul Schneider reached by extant research are still valid in a business world Fabian J. Sting being profoundly transformed by digital technologies. The purpose of this symposium is to bring together a set of leading Drawing from timely cases of digitalization-induced change scholars to discuss the impact of digitalization on five important initiatives triggered by Industry 4.0, the digital networking of the topics - innovation dynamics, institutions, competition and manufacturing industry, we aim to gain deeper knowledge on strategies, inter- and intra-organizational forces, and challenges the emergence of change-specific attitudes and their for researchers. Presentations by the panelists will be followed interaction with antecedent managerial promotion. Utilizing the by a discussion and the development of a research agenda. so-called Zaltman Metaphor Elicitation Technique, a semi- structured, in-depth interview format that aims to uncover individuals deep-seated beliefs and values, we surface the Conference Lunch mental models that drive employees thinking concerning Industry 4.0, and characterize these models in an actionable Thursday, 19 April 2018 - 11h 30 - 13h 00 way using informants metaphors. Based on this inductive Foyer Space approach, we aim at advancing theory on innovation framing Complimentary lunch is available daily in the foyer areas of that offers profound normative implications for business both the Rik Medlik and Austin Pearce Buildings. A great practice on how to promote far-reaching digitalization opportunity for you to meet and greet your fellow attendees in a initiatives in order to increase the likelihood of successful casual, social atmosphere. implementation.
Page | 43 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
Daily Smartphone Use as a Boundary Condition, which The Dispersed Materiality of Organizing: A Field-Study of the Strengthens the Adverse Effects of Self-control Demands on Practice of Analytics Need for Recovery Chris Chapman, University of Bristol Wladislaw Rivkin, Aston University Wai Fong Chua, University of Sydney Lilian Gombert, Leibniz-Research Center for Working Catherine Hardy Environment and Human Factors We present a study of the practice of business analytics in a Klaus-Helmut Schmidt, Leibniz-Research Center for Working large retail organization that highlights a number of provocative Environment and Human Factors developments in relation to the notion of comprehensive The present study examines the adverse consequences of work- information and its implications for the nature of organizing. In related smartphone use from the perspective of self-control. particular, we explore how ever larger and more diverse sets of Drawing on the Strength Model of Self-Control, which states data can lead to a dispersion of domains of data storage, that self-control depletes a limited regulatory resource and manipulation and interpretation such that the concepts of raw initial evidence that depletion effects can spill over to the next data, information system integration, a single source of truth, day, we propose lagged effects of work-related smartphone use and the dynamics of who is accountable to whom for what take in the evening on next-day need for recovery as an indicator of on new forms that are no longer easily understood in relation to regulatory resource depletion after work. Furthermore, arguing classic framings of the relationship between information and that self-control demands and smartphone use jointly deplete control that have served so well with past waves of technology. the same limited resource, we suggest that work-related Organizational Restructuring through Divestment Following smartphone use reinforces the adverse effects of self-control Repeated Technological Failures: A Study on Data Breach demands at work on next-day need for recovery after work. The Incidents results from our daily diary study provide support for both hypotheses. Subsequently, theoretical and practical Gui Deng Say, University of Minnesota implications are discussed. This study offers an alternative account of firm divestiture Linking Smartphone Notifications, Wellbeing and Productivity: underpinned by repeated technological failures in the context The Roles of Stress and Mindfulness of cyberhacking. The evolving complexity of cyberattacks
suggests difficulty in identifying appropriate learning THURSDAY Eugene Ohu, Lagos Business School mechanisms for firms. Firms interpret repeated failures broadly Ikechukwu Ohu, Gannon University as organizational deficiencies in coordination, motivating Emem Laguda, Lagos Business School response through divestitures, which improves coordination Smartphones are fast overtaking laptops and desktops as and redeploys scarce resources. The effect of repeated failures personal computing devices. The many software applications on firms likelihood of divestitures is amplified when failures are on smartphones, which expand their usage to many aspects of severe and is weakened when firms possess coordinating life, often send notifications of new information to users. There entities. Hypotheses were tested on unrelated divestitures is research suggesting that task switching required to attend to undertaken by U.S. public firms that experienced data breaches these notifications might negatively affect users quality of work between 2005- 2016. Contrasting against prevailing wisdom and life. Specifically, studies have examined the relationship that emphasizes building resilience by acquiring related between email notifications, stress, and wellbeing. However, capabilities, this study highlights the importance of leveraging limited empirical research has been done on the intervening organizational solutions to address technological problems mechanisms and boundary conditions under which smartphone when learning difficulties exist. notifications affect employee wellbeing and productivity. We
examine the effect of smartphone notifications on employee wellbeing and productivity through employee stress and under the boundary conditions of employee mindfulness. We propose New Entry Threats and Information Disclosure: Evidence from theoretical implications, practical implications, and suggestions the U.S. IT Industry for organizational interventions. Yang Pan, Louisiana State University
Peng Huang, University of Maryland Value and Control of Information Anandasivam Gopal, University of Maryland Thursday, 19 April 2018 - 13h 15 - 14h 45 We examine whether the threats of new entry emerging from Paper Session the entrepreneurial space influence incumbents information 75MS02 Classroom disclosure behavior in the fast-moving IT industry. We argue that when facing greater new entry threats (NET), incumbents Papers in this session explore data and information, the will be less transparent in information disclosure, due to the potential for misappropriation, its value and its control. higher proprietary costs associated with disclosure. Using a
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 44 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ novel measure of NET based on text-mining approaches, we change. The model consists of three attributes, six digital show that a higher level of NET is associated with a decrease in capability indicators and seven digital impact indicators. the transparency of incumbents information disclosure. Managing Digitalization - Conflicting Institutional Logics within Further, we find the effect is less pronounced in highly Professional Service Firms concentrated industries, where the relatively high entry barriers reduce the likelihood that NET will develop into realized Charlotta Kronblad, Chalmers University of Technology competition, and the effect to be more pronounced in sub- This paper addresses the issue of digitalization and the industries where proprietary information is more vulnerable to transformation of professional service firms. Specifically, it misappropriation. explores how different firms within a professional service Towards a Better Understanding of the Business Value of Data industry answer to digitalization, and the logic explaining their Governance actions. The aim of the paper is to, understand the impact of digitalization on professional service industries from an Patrick Verweij institutional perspective. The paper is based on a qualitative Marijn Plomp case study of the legal industry in Sweden, where 32 in-depth Benedikt Kratz interviews have been completed. The paper show that the Data is increasingly perceived as valuable enterprise asset and dominant logic of the legal industry is in clear opposition to the as the fundamental basis for organizational growth strategies. embedded logic of digitalization, why it is mainly individuals The recognition of the critical importance of adequately that have left or questioned prevailing logics and institutions of governing this data has not evolved in parallel. Data governance the field, and started new firms, that has undergone effective is often subject to ambiguity and its value for organizations digital transformation. remains hard to grasp. We propose a study to address this #HATEMYJOB; #LOVEMYJOB: Job Satisfaction and Employee research gap and explore the realization of data governance Voice in a Twitter World benefits. Our methods consist of a single case study approach in combination with a Delphi technique. The data governance Edel Conway, DCU Business School benefits are captured in a validated five-dimensional benefit Pierangelo Rosati, DCU Business School framework, functioning as a gateway for future data Kathy Monks, DCU Business School management value research as well as supporting Theo Lynn, DCU Business School organizations in developing the data governance business case This exploratory study uses a mixed methods approach, in the current big data age. combining data science-based descriptive and content analytics with manual coding, to understand the ways in which employees voice job satisfaction and dissatisfaction through THURSDAY Implications of the Digital Twitter. Based on a dataset comprising 2,121,139 tweets for the Thursday, 19 April 2018 - 13h 15 - 14h 45 period January-December 2014, we adopted and implemented Paper Session a coding frame using Doorewaard, Hendrick, and Verschuren's 80MS02 Classroom (2004) differentiation between job, people and money work orientations. Using Structural Equation Modelling, our findings We know a lot about analog organizations but how do digital reveal that while employees tweet about issues that have long organizations work? The papers in this session takes a close been discussed in the job satisfaction literature, their look at this. description of these issues is much more public, elaborate and Digital Organisation: A Value Centric Model for Digital emphatic, often featuring supplemental media and plentiful use Transformation of expletives. Implications for theories of employee voice and job satisfaction and for HR practice are discussed. Md Shahiduzzaman Marek Kowalkiewicz, Queensland U. of Technology The business environment is rapidly changing and technology is When Surprises Become Routine: Practice Transition in Fast- shaping the way organisations operate. Digital technologies Response Distributed Environments enable new ways of doing work, producing and offering goods Iman Taani, National University of Singapore and services. However, businesses face major challenges during Isam Faik, National University of Singapore the process of digital transformation, whether it be changes in legacy system, process improvement or offering new While several studies have looked at the transition between services/products. Is technology, or perhaps leadership, practices when actors are faced by surprising events, little is strategy or culture the starting point? In this study, through an known about practice transition when these events become extensive literature review, industry and expert panel routine. Understanding the challenge of routinized surprises is consultations, we developed a Digital Business Maturity Model particularly important for high-reliability organizations, where that is likely to help businesses to embrace technological the focus is on high quality and error-free performance. A major
Page | 45 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
source of the routinization of practice transitions is the or even dominance of the economy. Future lines of prevalence of information technology (IT) in work development integrating data from internet searches are environments, which require constant shifts between non-IT presented. and IT-enabled practices. This research investigates the process The Formation of lasting Stigma in the fleeting Context of through which practice transitions become routine based on an Twitter ethnographic study of a Telestroke system, in which successful practice transitions are critical for the delivery of stroke Laura Illia, IE University treatments in a timely manner. Nuccio Ludovico Marco Caserta
Michael Etter, Cass Business School Discourse and Big Data Itziar Castello, Universidad Carlos III Thursday, 19 April 2018 - 13h 15 - 14h 45 Big data allow new ways of studying social phenomena by Paper Session analyzing online interactions between individuals at large scale. 72MS03 Classroom With this article we explore the socio-political process of stigmatization of four Italian banks in social media following a Big data to study and reveal changes and patterns in discourse. series of crisis events. With a longitudinal analysis of over 23,528 Embracing the Un Sustainable Development Goals? Big Data tweets, we study how a lasting stigma is created in a context Analysis of Changes in the Corporate Sustainability Agenda where interactions between stakeholders are of fleeting nature. (WITHDRAWN) Our study shows how discrediting labels around events stabilize and so create a stigma - when multiple stakeholders express Ans Kolk, University of Amsterdam Business School their negative judgement through affective cross-category tags Arno Kourula, University of Amsterdam Business School that create a mental union. Our study contributes to the so far Niccolò Pisani, University of Amsterdam Business School understudied process of stigmatization with particular focus on Michelle Westermann-Behaylo, University Van Amsterdam explaining the collective labeling process in the online public Marcel Worring, University of Amsterdam sphere. In order to achieve the ambitious targets of the UN Sustainable Crowd Intelligence Participation in Digital Ecosystem: Development Goals, corporations will need to mobilize, Systematic Process for Driving Insight from Social Network THURSDAY together with governments and civil society actors. There are Services Data examples of firms that have incorporated specific SDGs into strategies and programs. However, it is unclear how broadly the Arash Hajikhani SDGs have been embraced within the corporate agenda, nor if Maria Silva this agenda-setting initiative is effective in shining the spotlight Jari Porras on new, underexplored issues, or whether it just leads to the In an increasingly fast paced of digitalization, Social Network repackaging of previous activities under new labels. Using text- Services (SNSs) acting as a major component in the mining and text classification tools, this study analyzes transformation process. Meanwhile, progress of computational corporate discourse in a database of over 40,000 corporate power and data analytic techniques necessitate to visit the CSR/Sustainability reports from multiple countries over 15 massive data generated from SNSs for accurate insights for years, to gain insights into changes in companies behavior better decision making. In this research, we propose a addressing the goals, as manifested in their communications. systematic process for analyzing SNSs data utilizing the Was That Trendy? Big Data Analysis of Social Trends advancement in text analytics and topic modeling. Furthermore, the proposed methodology put into practice for Steffen Roth, La Rochelle Business School driving insight from crowed intelligence contribution in Twitter Miguel Pérez-Valls, University of Almera regarding the sample case of Fukushima incident. The relevant This article uses the Google Ngram Viewer to chart and interpret tweets retrieved, preprocessed and textually analyzed to reveal time series plots of combined frequencies of pertinent keywords the topical evolutionary pattern of discussions. The topical in the largest Internet book corpus to analyse whether the analysis and visualization indicates more coherent and less Spanish language area may be adequately described as topic proximity in discussion over time. secularised and capitalist between 1800 and 2000. Results suggest that the Spanish language area is not primarily economised, but rather politicised. Religion is still one of the 3 most relevant functions so secularization cannot be fully acknowledged. We turn social macro trend statements from assumptions into research questions and conclude that the sample period may not be characterised as capitalist if we associate capitalism with any form of over-average importance
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 46 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ Practices of Big Data management journals. CfPs and introductions to published SIs Thursday, 19 April 2018 - 13h 15 - 14h 45 constitute a relevant source for identifying high impact Paper Session literature on the recently unfolding academic discourse on DIT. We consider the literature cited in CfPs and in introductions to 39MS02 Classroom SIs, analysing self-citation, cross-disciplinary and cross-journal Practices of big data including sociomateriality. How big data citation patterns. Our generative literature review provides a are studied. complete overview of the referenced literature emerging from DIT-SIs intros and CfPs in a selection of FT research ranked Virtually Real: How Data Constructivism is Transforming Reality journals for 2007-2017. Tobias Scholz, University of Siegen Better Safe Than Sorry? Investigating Big Data Evangelists and Volker Stein, University of Siegen Their Value Propositions The recent surge in digitization has led to an increase in the Vasili Mankevich, Ume University amount of data about people. Big data are ubiquitous and Aron Lindberg, Stevens Institute of Technology pervasive. They are subjective, never neutral, and highly Jonny Holmström, Ume University contextualized. Any insights derived from big data are no more than one perception of reality. Despite being granular and In this study, we investigate value proposition offered by big singular, data create reality. This leads to the theoretical data evangelists zealous advocates for big data analytics. By framework of data constructivism, especially as data are based applying Competing Value Framework, we analyze the on data shadows and a data assemblage. Big data contribute to communications of the market leader in data analysis and a distinct reality, reinforcing it, and nudging people into its visualization applications. Surprisingly, our analysis shows how direction. One example is the use of the credit score in the US big data evangelist relies on a "safe" value proposition by and China. Data constructivism calls for an in-depth social and focusing on potential gains in operational efficiency, rather than ethical discourse about the usage of data in todays world. addressing more ambitious categories, such as flexibility, learning, and cohesion. We describe potential challenges in the Sociomaterial Organizing Mapping the Relative Capacities of safe approach to big data value proposition and suggest Human and Material Agency promising directions for future research. Verena Bader, Bundeswehr University Munich Stephan Kaiser, Bundeswehr University Munich Digital organizing is accompanied by tools and decision support The Dark Side of Digital Platforms systems and thereby, decisions are increasingly delegated to Thursday, 19 April 2018 - 13h 15 - 14h 45 automated systems. Considering technologies as acting Paper Session artifacts and using a sociomaterial perspective, we bring into 32MS03 Classroom question this uni-directed delegation of decision-making. Using THURSDAY This session engages in the dark side of digital platforms such a case-study design on the implementation of two softwares, as cybercrime, fake news, and strategic exist. we ask how human and material agency interrelate. Our findings show that the space for macro-level sociomaterial The Dark Side of Big Data: A New Framework to Understand and organizing is created over time and the roles of human and Manage Risks technologies are defined within micro-practices. Furthermore, Feng Li, Cass Business School we shed light upon the break-down of practices if new Alberto Nucciarelli, University of Trento technologies carry unresolved ambiguities. By considering time Sinéad Roden, Trinity Business School, Trinity College Dublin and by differentiating material (static) from algorithmic (dynamic) agency, our research contributes to debates on A huge amount of data, characterised by its sheer volume, digital transformation and organizing in the era of Big Data. variety and velocity (3Vs), is generated by peoples actions and machine activities. This is referred to as Big Data, which is A Generative Literature Review on Digital Innovation and gaining attention from academics and practitioners alike who Transformation, Based on Call for Papers and Introductions to are exploring its potential in the decision-making process. Special Issues in Selected FT Research Ranked Journals (2007- Comparatively less attention has been paid to the negative 2017) externalities - the risks and consequences of Big Data. We offer a Fabian J. Sting more balanced perspective of this global phenomenon by Ishraf Zaoui exploring the Dark Side of Big Data. Using primary and Sergey Kovalev secondary cases, we present a classification framework of risks Pascal Montagnon and, building on theories on risk management, offer a structured approach to evaluating the characteristics of each Digital innovation and transformation (DIT) over the past risk type, in order to determine how best it can be mitigated. decade has given rise to several call for papers (CfPs) and relative special issues (SIs) in important organization and
Page | 47 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
Strategic Exit from a Platform-based Ecosystem: An Empirical how technical and social systems contribute to it. To do so, we Study in the Automotive Industry will perform a longitudinal analysis relying upon empirical data collected from archival data and two datasets constructed by Madeleine Rauch, European University Viadrina collecting data directly from anonymous marketplaces. Matthias Wenzel, European University Viadrina
While nascent research on platform-based ecosystems provides insights into strategies for entering and managing such Platform Ecosystem Constellations and Dynamic ecosystems, we know little about how and why firms exit Orchestration platform-based ecosystems. Drawing on a qualitative case Thursday, 19 April 2018 - 13h 15 - 14h 45 study of one of the biggest automotive suppliers worldwide, we explore how firms exit platform-based ecosystems. Our findings Paper Session illustrate the tensions between an established incumbent 81MS02 Classroom automotive producer, which favors the reproduction of the This session presents new theoretical and empirical insights in past, and an automotive supplier, which feels threatened by the platform ecosystems, their evolution over time, and strategic potential disruptive nature of autonomous driving favoring orchestration of such dynamics. exploration, rather than exploitation. Our findings contribute to developing an understanding platform-based ecosystems, and Ecosystem Continuum: A Market Attribute-based Framework in doing so, extend understanding of the under-researched Ramya Murthy, York University aspect of the dark side of platform-based ecosystems that Anoop Madhok, York University might require a strategic exit. The ecosystem-as-structure perspective analyzes ecosystems The Economics of Fake News: Consumer Behavior During the holistically by considering the multilateral configuration and 2016 Election nature of interactions among the actors within the ecosystems. Anil Doshi, UCL School of Management In this paper, we extend this perspective and contend that the Sharat Raghavan value proposition necessitates market-like attributes that Eric Petitt consequently determine the ecosystem structure. Variations in Rebecca Weiss the extent of market attributes within the ecosystem lead to differences in configuration of ecosystems, which can be We characterize the prevalence of fake news during the 2016 depicted on a continuum between attributes depicting firm-like U.S. presidential election using a dataset of user-level browsing
on one end and market-like on the other end. This framework THURSDAY data. A rise in the supply of fake news articles positively predicts the ecosystem structure as well as characteristics such impacted the probability of a user visit to a fake news site. We as platform firms control, complementarity and relationship estimate that for every 1,000 fake news links produced, users between actors of the ecosystem. click on on between two and eight additional sites. Part of our empirical strategy uses machine learning techniques to isolate Entrepreneurial Engagement and Commercialization of an exogenous source of variation in the supply of fake news. Applications on a Technology Platform This suggests that the effectiveness of fake news is similar to Morten Fenger, Aarhus University well-known display advertising. Finally, over 40% of users Lars Frederksen, Aarhus University encountered a fake news site, which supports its utility as a Hans Berends, VU University Amsterdam mechanism to spread disinformation among a substantial Joachim Scholderer, Aarhus University portion of the electorate. Third-party complementors as entrepreneurs boost technology Evolution, Resilience and Organizational Morphing in platforms. Yet, existing research offers little insight into how Anonymous Online Marketplaces platform-owning organizations can identify which individuals Federica Ceci, Universit G.d'Annunzio on platforms that are likely to transform from users into Andrea Prencipe, LUISS University entrepreneurs. This paper provides two explanations for the Paolo Spagnoletti transition from product user into entrepreneurship. First, by using patterns of technology adoption on a platform at the In the last decade, new forms of cybercrime have risen, driven individual level, we demonstrate that consumption behavior is by the development of platforms specialized in online a viable demand-side predictor for transition into user- commerce of illegal items. The evolution of such platforms entrepreneurship on the supply-side of platforms. Second, users occurs in a dynamic and unpredictable environment, on platforms are connected. We demonstrate that also the characterized by frequent external shocks (police crackdowns content of network ties play a key role. We show that or fraudulent exit) that reshape the market, requiring interaction with other user-entrepreneurs is important in order "continuous morphing, i.e. simultaneous changes in function to explain the transition into user-entrepreneurship but so too (e.g. product strategy) and in form (e.g. structures, routines, is the encouragement from peers. resources and capabilities). We aim to investigate how continuous morphing occurs in anonymous marketplaces and
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 48 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ Platform Business Transformation: A Temporal Perspective on This paper uses a case study of the smartphone-enabled Strategy Implementation sharing-bicycle platforms that have arisen in China in the last two years to explore how the dynamics and speed of innovation Daniel Mack, Singapore Management University experience fundamental changes not only in terms of platform- Weiru Chen, CEIBS software but also in the physical design of the bicycles in this Quy Huy, Insead industry, as they are shaped by user behaviors, market The winner-takes-all nature of platform market competition is demands and platform strategies. By deeply comparing the two such that the success of a platform-based organization often largest platforms (ofo and Mobike), we aim at investigating how depends on how rapidly it could scale-up from a startup to a firms develop their strategy differently and how these strategies dominant platform. However, we have very little processual illuminate competition in digital platforms and how the pace of knowledge about how and whether platform-based innovation is affected by the user behavioral data. The organizations become successful over time. Based on a two- conclusion will contribute to the platform innovation research year inductive field study of a platform-based organization, we and provide guidance for the innovation management practice show that top managers engage in temporal strategy making of platforms. and paradox management to enable rapid platform scaling by An Analysis of Product Innovation as Recombinant Search Using enacting internal employee and external stakeholder Topic Modelling resonance. Yet, rapid scaling destabilizes this resonance by escalating employee task expectations and exposing platform- Philipp Cornelius, Rotterdam School of Management related structural inefficiencies. Our findings suggest how rapid Product innovation is often understood as the recombination of and agile strategic implementation of a platform strategy risks componentssuch as ideas, knowledge, input factors, and leading to a less agile and flexible organization over time. technologies. An important question is whether there are Decomposing Multi-sided Models and Strategic Implications certain recombination patterns that increase innovation success. The existing literature has predominantly studied Sungu Ahn recombination in technological search. I extend this literature Previous research shows that incumbents often have difficulty by studying recombination during the development of new in responding to multi-sided based new entrants, who offer consumer products. Interestingly, recombination strategies that products and services for free. However, I here argue that create successful technologies (such as patents) do not always conventional competitive focus on the story of incumbents VS coincide with product success. I discuss implications for the new entrants limits our understandings. The reason is that generalisability of results from technological search. This multi-sided involve more than one party. A firm needs to engage research is a first step towards studying recombination in in both users and sponsors, offering values to both side. product development using new computational methods. Departing from conventional focus on firm-customers, this The Effects of Novelty, Density and Metaknowledge on Digital paper argues that multi-sided firms create ecosystems where Market Entry users, sponsors, and the firm interact. Therefore, it can have increasing number of unique ecosystems, once they can acquire Harris Kyriakou, IESE Business School sponsors with different industry scope. Due to such ecosystems, Yegin Genc, Pace University the multi-sided firm compete in fundamentally different
THURSDAY Past theories of innovation, have described the process of domains, compared to incumbents operating in for-user developing an innovation as search in a solution or design industry. space. We build upon this view, suggesting that potential microinvestors decide which new products to support based on attributes pertinent to their position in the design space. This Platform Design, Recombination and Innovation paper focuses on two of these attributes, namely space novelty Thursday, 19 April 2018 - 13h 15 - 14h 45 and space density. We examine 77,769 product ideas that Paper Session sought funding over the course of more than 4 years in the most AP 1 Austin Pearce Lecture Theatre popular crowdfunding platform to date. Using prior theories of market entry, we attempt to understand the distinct effects of This session discusses novel research on the role of platform space novelty and space density. Finally, we identify the design on recombination and complementary platform moderating role of metaknowledge and discuss the theoretical innovation. and practical implications. Innovation and Competition Dynamics in the Platform Era: The case of Chinese Sharing-Bicycle Platforms Xuechen Ding, School of Economics and Management Xielin Liu, University of Chinese Academy of Sciences Martin Kenney, Uni Of California-Davis
Page | 49 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
Big Data and Talent Management Challenges improve employee wellbeing and business outcomes through Thursday, 19 April 2018 - 13h 15 - 14h 45 the promotion of flexibility, skills development, networking and Paper Session better work flow. AP 3 Austin Pearce Lecture Theatre Talent Futures: The Influence of Big Data on Talent Decisions Examinations of the ways in which use of electronic data Jestine Philip challenges how talent management decisions are made. Julie Hancock, University of North Texas The Influence of Talent Concepts on Big Data and HR Analytics The increasing prevalence of data analytics over the last decade Use in Talent Management has brought into focus a number of arenas in which big data can play a significant role in organizational management. Human Sharna Wiblen, Sydney Business School Resources, in particular, can benefit from the proper Janet Marler, University at Albany acquisition, use, and analysis of big data as the War for Talent Despite frequent and compelling talk about the rages on and organizations engage in costly battles to recruit transformational impact of technologically-enabled big data and retain quality employees. Big data can play an important and HR analytics on various organising processes, we still know role in strategic decision making in talent flow, acquisition, and very little about the role of digitally-derived data in talent management. We present a model highlighting the additive management and the extent to which organisations base nature of big data, how the usage of such data leads to talent decisions on HR analytics and digital data. Our paper decisions and, consequently, individual and organizational illuminates the challenges associated with applying technology- outcomes. Further, we discuss the potential concerns enabled data and analytics through a case study of a Tax associated with big data usage in an HR context. consultancy unit within a professional services firm. We begin to
go beyond normative assumptions that technologically-enabled HR analytics play a preeminent role in identifying high potential Diversity Issues in the Digital Organization talent, and show that individual perceptions about talent Thursday, 19 April 2018 - 13h 15 - 14h 45 influence how HR analytics is used and enacted. Paper Session Employee-sponsored Skill Development in the Contemporary 33MS01 Business Insights Lab Workplace: The Case of MOOCS This session provides an overview of various challenges Monika Hamori, IE Business School organizations face in managing diversity in an electronically automated and data-driven environment. This paper looks at the antecedents and consequences of employee-sponsored skill development at the workplace. It Two is Better than One explores, through a self-reported survey of learners in 16
Chan Hyung Park, Washington University in St. Louis THURSDAY Massive Open Online Courses (MOOCs) and through participant activity data collected from a MOOC platform, the motivations Looking at one of the largest Smart Agriculture Service of employed learners to self-sponsor their education through Platforms in China, we explore the impacts of its two distinct MOOCs and their engagement with the courses compared to modes of sales. The two modes complement each other to those who receive support from their employer. This paper address specific and general demand, while separating the extends the small literature that addressed self-sponsored large and efficient producers away from small-to-mid sized learners in formal degree and training programs. farmers to provide the latter a safe place to grow. Additionally, other protectionist policies for the latter group highlight what Re-Engaging with the Future: Towards a People First 21st firms could do to protect weaker members of a crowd, promote Century Digital Employment Contract diversity and ensure long-term sustainability of the platform. Peter Bloom, Open University We use both qualitative methods like interviews and quantitative methods like statistical and big data analysis to This paper theoretically and empirically explores the potential understand the effects of the platforms structure and policies of a people first employment contract for a changing digital affect both individual farmers and the market. business environment. Big data and digitilisation are reshaping how people organize their careers and organisations manage Big Data and Employee Profiling: Not a Good Fit for Diversity? their workforce. Yet the 20th century employment contract has Tobias Scholz, University of Siegen not been reimagined for a 21st century digital age. New Tom Calvard, University of Edinburgh perspectives like eHRM, digital HRM, and HR analytics reveal how to make this change more human-centric but fail to engage Organizations often strive for diversity in their workforces to with the transformative implications of the gig economy and ensure equality, inclusion and innovation. However, they also boundaryless career spurred by digitalization. Drawing upon face many pressures to standardize and homogenize HRM ongoing research jointly conducted by the Open University and systems and workforces towards relative sameness and MHR, we examine how this technology can simultaneously uniformity, as they refine and align them. In this paper, we
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 50 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ argue that organizations growing engagement with big data the same site. Besides, this study also attempts to examine the analytics and algorithmic, automated profiling of employees shopping characteristics so as to find out how to achieve a runs the risk of exacerbating these homogenizing tendencies. balance between these two e-Commerce models for one firm. Drawing on theories of similarity and difference between people Intra-platform Coopetition: An Approach to Understanding in organizations, we explore the links between big data Platform Dynamics analytics practices and diversity management. We develop an approach emphasizing optimally distinctive employee profiling, Angelos Kostis, Ume School of Business and Economics (USBE) one that we propose can reconcile big data ambitions with Digital platforms are important for organizational interaction. sustaining employee diversity, concluding with related risks and Yet platform dynamics have mainly been discussed as occurring implications for HRM strategy in a big data era. in between evolutionary phases, and the internal dynamics of Butchers, Bakers, and Barcodes: Demographic Diversity and an industry platform and the interactions between platform Technology in a Grocery Chain participants have received scant scholarly attention. The purpose of this paper is to increase understanding of industry Alexandra Feldberg, Harvard University platform dynamics by connecting platform literature to It is tempting to believe technology a panacea to demographic coopetition research and introducing the concept of intra- imbalance in organizations leadership levels. Yet, because platform coopetition. I discuss changes in different platform interventions increasing workers reliance on technology risk characteristics in relation to the dynamic interplay of affecting personal networks, firms seeking diversity must realize cooperation and competition and how internal relational technologys tradeoffs. Do demographic differences exist in how aspects influence platform dynamics. The value of the workers navigate technology? What are implications of coopetition lens for understanding patterns of platform technology-use for demographic disparities? Here I explore dynamics will be discussed, and implications for platform relationships between workers technology-use and researchers and practitioners and promising research avenues performance outcomes in a grocery chain. Data include millions will be suggested. of administrative records and forty interviews. Preliminary Motivating the Established, Deterring the New The Divergent analyses reveal that, compared to demographic majorities, Effect of Platform Competition on Member Contributions in minorities believe they must rely more on technology; when Digital Mapping Communities they do, they see greater performance improvements but less interdependent work. As e-commerce upends brick-and-mortar Abhishek Nagaraj, Berkeley grocery, I advance inequality literature by comparing behaviors Henning Piezunka, INSEAD and experiences of minority and majority workers in the digital While popular platforms developed by knowledge-producing age. communities such as Wikipedia and Linux co-exist and compete with alternatives such as Encyclopedia Britannica and Microsoft Windows, we understand little about how such competition Intra-platform Competition versus Collaboration affects those knowledge-producing communities. Our study Thursday, 19 April 2018 - 13h 15 - 14h 45
THURSDAY examines how community members respond when Paper Session communities are faced with competition. We examine how AP 2 Austin Pearce Lecture Theatre community members contributions to OpenStreetMap changed following the competitive entry of Google Maps. We exploit the This session provokes the dialogue on the role of competition phased entry of Google Maps in different countries over time. and collaboration among platform contributors. While we find an overall negative effect of competition on Co-opetition between B2C and C2C Models in the Same E- contributions, the effect is not uniform. Competition has a commerce Platform: The Case of Alibaba (WITHDRAWN) divergent effect on community members: it motivates established members to contribute but deters new potential Nila Zhang, Nanyang Technological University members from joining the community. In the last few decades, the Internet-based commerce has been Claiming the Name Space: Replication and Imitation in the a rapidly-expanding research field. The C4 issue (competition, Evaluation of New Organizations on Apple's iOS Platform conflict, collaboration, and coordination) in e-business is a common theme in the e-Commerce research. However, limited Seo Yeon Song, INSEAD researches have been done on the co-opetition relationship Jason Davis, INSEAD among different e-Commerce business models (e.g., B2B, B2C Entrepreneurs often face the decision of adopting similar names and C2C). In order to gain insights into this co-opetition as those of the cognitive referent for their organizations or relationship, my research tempts to compare and integrate products. This paper analyzes the names and characteristics of these e-Commerce models. Through the case of Alibaba, this the apps on the Apple iOS platform from 2010 to 2011 to find study seeks to illustrate whether different e-Commerce that apps that replicate the names of their own previous apps platforms can complement but also compete with each other in enjoy evaluation premium while apps that imitate the names of
Page | 51 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
successful cognitive referents suffer from evaluation discount. provide opportunities for scholars of big data to build The effect of such initial market position implies competitive connections and develop new, practice- driven research ideas. dynamics within the cognitive domain, and we find that such
effect is moderated by name ambiguity and complexity of apps. How do Big Data and Internet Firms Change Business-society Relations? Exploring the Dark Digital Technologies and Their Implications for Side of Digitalization Management Research: What Should We Change? Thursday, 19 April 2018 - 13h 15 - 14h 45 A Multidimensional Perspective Symposium Thursday, 19 April 2018 - 13h 15 - 14h 45 34MS01 Business Insights Lab Symposium AP 4 Austin Pearce Lecture Theatre Hannah Trittin, University of Zurich Andreas Georg Scherer, University of Zurich J. Alberto Aragon-Correa, U. of Granada / U. of Surrey Michael Etter, Cass Business School David Allen, Texas Christian University Dirk Matten, Schulich School of Business, York University Mike Barnett, Rutgers University Kirsten E. Martin, George Washington University Xavier Martin, Tilburg University Glen Whelan, York University The participants in this symposium will provide an unique Extant research highlights the benefits for businesses and perspective by simultaneously analyzing the importance of societal actors associated with the increasing digitalization and digital realities in different management fields and providing a the proliferation of Big Data. In contrast, this panel aims to collective coordinated vision around the aim of identifying the critically address how the digitalization affects the balance of challenges of digital technologies to management research. power between companies, governments and civil society. Each of the contributor to this symposium will highlight how Initial research in CSR has developed quite an optimistic view specific features of digital technologies influence different on new technologies and has yet to address their negative dark research questions in the context of contemporary side. We therefore explore the increasingly political role of organizations. While approaching this challenge differently, Internet firms who not only provide Big Data, but influence the each participant in this symposium contributes to the notion political agenda by determining whose voices are heard or that digital technologies may be compared with traditional suppressed in the public discourse. Consequently, the panel technologies in order to better understand how we can benefit expands the current research agenda towards the impact of Big from previous research and how we should think differently. Data on business-society relations, as well as the social THURSDAY THURSDAY responsibility of Internet firms.
Best of Both Worlds: How Inductive Research Can Enhance Our Understanding of Big Data Data Platforms Thursday, 19 April 2018 - 13h 15 - 14h 45 Thursday, 19 April 2018 - 15h 00 - 16h 30 Symposium Paper Session 32MS01 Classroom AP 3 Austin Pearce Lecture Theatre Esther Leibel, Boston University This session explores organizational and market structures Vern Glaser, University of Alberta associated with data. Stella Pachidi, University of Cambridge If We Build It, Will They Come? Data-Driven Model Acceptance Michael Barrett, University of Cambridge by Decision Makers Maximiliano Santinelli, The Boston Consulting Group Patrick Downes, Rutgers University This symposium explores the promise of using inductive David Allen, Texas Christian University methods to develop theory on how big data affects work and organizing and reflect on the relevance of such approaches for A limiting factor of the contribution of data-driven models to practitioners. First, three scholars using qualitative research organizations is that key stakeholders are reluctant to believe methods will present empirical projects exploring emerging them. Because managers often believe their own intuition and issues around the use of big data in organizations. Second, the expertise is more accurate than statistical predictions, one way symposium will feature two reflections on the opportunities of to improve the likelihood that they will adopt a data-driven qualitative research of analytics and big data: A practitioner model is to allow them an opportunity to adjust the model for from the field of analytics consulting will highlight research their own local context. We tested this idea in an online opportunities for management scholars. Subsequently, a senior experiment, manipulating the extent to which participants were scholar of Information Systems & Innovation will summarize allowed to adjust a model. Results suggested that people who common threads. We will close with a Q&A session. We aim to
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 52 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ are given the opportunity to make adjustments believe a data- driven model is more valuable and are more likely to adopt it. The Meaning of Work in the Digital Economy Big Data, Analytics and the Transformation of Vendor-Client Thursday, 19 April 2018 - 15h 00 - 16h 30 Sales Cycles Paper Session Uchenna Peters AP 1 Austin Pearce Lecture Theatre Hope Koch, Baylor University The papers in this session examine how digitization and the Gartner (2016) predicts that by 2022, the Internet of things will growth of the gig economy have impacted the definition of work save consumers and businesses $1 trillion a year in and career for the individual worker. maintenance, services and consumables, and block chain- The Implications of Digital Technologies for Meaningful Work based businesses will be worth $10 billion. This changing trend heightens the need for businesses to become digital Gillian Symon, Royal Holloway University of London organizations to remain competitive. This study tries to Rebecca Whiting, Birkbeck University of London understand how a large, old technology organization pivoted its strategy to sell analytics and cognitive services as well as Research into meaningful work requires updating to account for remain relevant in the technology industry. Our preliminary contemporary working practices such as flexibility, mobility and analysis charts the technology companys journey and the self-employment. Crucial to such working patterns is the use of challenges selling analytics posed with regard to long sales digital technologies, yet few studies explore the implications of cycles, intellectual property and struggles closing deals. Our such technology for meaningful work. In this paper, we examine preliminary findings suggest that this research may challenge how digital technologies are encompassed in the construction existing management theories regarding vendor-client of meaningful work by social entrepreneurs. Video diaries and relationships. interviews led us to identify three narratives of meaningfulness within social entrepreneurship - emotional engagement, Data Strategy axiological commitment and personal authenticity - and to highlight how digital technologies create tensions in these Pantelis Koutroumpis, Imperial College Business School narratives. In conclusion, we argue that in order to understand Aija Leiponen, Cornell University meaningful work in the digital age we need to examine the Llewellyn Thomas, LaSalle Universitat Ramon Llull complex interaction between context, materiality and We characterize data goods and distinguish them from sensemaking. information goods, highlighting the key economic attributes The Drive to Drive: Understanding Gig Work by Understanding that influence the creation and capture of data value. Whereas the Gig Worker data value creation depends on transparency, connectivity, and inalienability of data, value capture hinges particularly on Kevin Rockmann, George Mason University excludability and platform design. We compare data goods to Marie-Rachel Jacob, EM Lyon Business School content and software goods. We then discuss the how these Elizabeth George, University of Auckland THURSDAY features affect competition in data markets. We conclude that certain economic implications of data goods are qualitatively The gig economy is changing how workers engage in work; different from information goods and, hence, data strategies specifically, why individuals engage in different forms of gig and business models will likely differ from those for digital work and how individuals relate to gig organizations. Despite content or software. this prevalence, we lack an understanding of the phenomenon of engagement in gig work from the worker perspective. Our Understanding the Governance of Data Pools: A Systematic focus, in seeking to understand the worker / organization Review of Cases in the Health Sector dynamic more fully, is on individual motivation and control. We offer an understanding of the gig worker based on the level of Marco Minervini, Bocconi University the individuals intrinsic and extrinsic motivation to engage in Our study tries to fill a fundamental knowledge gap on how the work, and the individuals perceived level of control over the endeavors to pool data among multiple organizations are employing organization. We use this approach to suggest structured and managed. It does so by performing a systematic different pathways to organizational identification and other review of cases in the health sector, a data intensive field relevant individual and organizational outcomes. characterized by a rich amount of attempts of inter- The Gig Economy: How do Online Labor Markets Change the organizational data pooling. We also identify and organize the Way People Work and their Careers? set of elemental components (property rights and coordination mechanisms) that compose the governance forms observed, a Mareike Seifried, LMU Munich contribution that could be highly valuable for further research Tobias Kretschmer, LMU Munich on the antecedents and on the consequences of different Jrg Claussen, LMU Munich governance forms in the realm of data governance. Pooyan Khashabi
Page | 53 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
The concept of a career has usually been studied against the proposition change VPPs customer, e.g. prosumer relationships, backdrop of an organization structured by internal labor and affect VPPs network ties with other business partners, e.g. markets. However, with the emergence of the gig economy, an software firms? We address these research questions by a case increasing number of knowledge workers is working in external study research design, conducting semi-structured interviews labor markets and act as independent creators of their own with top executives in the German energy sector. careers. But no study has yet examined how the digitization of Organising for Digitisation: A Balancing Act contract labor markets affects the way people work and navigate their careers. That is surprising because online labor Bethan Morgan, University College London markets have emerged as a powerful new paradigm for digitally Digitization brings profound changes, which require new based work. Using a detailed and extensive dataset from the approaches to organizing. Construction, an institutionalised freelancing platform Up-Work.com, we describe and analyze and heavily regulated industry that demands innovative whether and how digital workers construct their careers to solutions, is an ideal setting for studying the tensions implicit in advance and succeed in this context. digitization. A longitudinal embedded case of a design firm is used to demonstrate the changing approaches used to organizing for digitization as it shapes and is shaped by the Value Creation in the Digital Organization wider institutional field. The case study reveals three stages of Thursday, 19 April 2018 - 15h 00 - 16h 30 organizing for digitization: experimentation, leadership and Paper Session active investment. A cycle of mutual constitution among users, 32MS01 Classroom organizational change and institutional events, such as benchmarking, standards and mandates, prepare construction Papers relating to this session look at how and where value is firms, and the industry in general, for digitization. To align created in digital organizations. innovation with regulation, firms are called to respond to and Minding the Data: Strategizing with Data to Create and balance exogenous change with endogenous user-led change. Appropriate Value Competition at the Digital Frontier: Algorithmic Innovation, Wendy Günther, VU Amsterdam Value-Creation and Digital Venture Performance Mohammad Reazade Mehrizi, VU Amsterdam Yang Zhao, Loughborough University London Marleen Huysman, Vrije Universiteit Amsterdam Anna Morgan-Thomas, Adam Smith Business School
Frans Feldberg, KIN Research, VU Amsterdam THURSDAY Contemporary business landscape is characterized by the In this study, we unpack how data-driven value realization can convergence of innovation and digitalization where software be understood from a practice view. Specifically, we study how algorithms open novel ways for value creation and value a European postal service organization, LogiCo, strategizes with capture through algorithmic innovation. Building on theories of data to create and appropriate value. We identify three shifts in algorithmic objects and using rich, longitudinal case study data time when members of the organization changed their from seven digital ventures, the study asks: how do digital assumptions about what data are relevant, what data organizations conceive, deploy and leverage algorithmic properties are central to realizing value, and how they should innovation to compete at the digital frontier? The findings strategize with data. Our study empirically shows that several reveal several value-creation mechanisms within three broad attributes of the data may not be fully understood until actors categories: leveraging granularity, exploiting modularity and work with them, and that in doing so, unforeseen strategic harnessing distributedness. The exploration of those opportunities and challenges emerge. mechanisms across multiple firms within single industry allows Digital Organizing in the Energy Sector: New Value Propositions, us to develop propositions concerning algorithmic innovation New Network Ties and venture success. Alexander Fliaster, University of Bamberg Creating Social Value through Digital Transformation Karolina Baehr Paul Tracey, University of CambridgeValeria Cavotta, Imperial Michael Kolloch, U. of Bamberg College From the perspective of organizing, the challenge of digitization Nelson Phillips, Imperial College London is twofold: Not only do companies need to redesign intra- In this paper, we discuss how social value can be created organizational activities to create new digitally enabled value through the use of new digital business models. We begin by propositions but they also have to reshape network ties to discussing how social enterprises create social value and external ecosystem partners. These two key dimensions and the examine some of the common business models used in these interplay among them are still under-explored. We empirically special ventures. We then discuss how the ongoing digital address them by analyzing a new type of digital organizing in transformation of business is making new digital business the energy sector the virtual power plant (VPP). How does models common among more traditional ventures and go on to digitization shape VPPs value proposition? How does this value explore the potential for applying these new models to creating
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 54 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ social value, the challenges that these new business models illustrate that the assumed patient empowerment is an elusive create for social entrepreneurs, and present some interesting ideal, and instead increases patient's dependency on examples of successful social enterprises that have been professionals. Taking a situated perspective allows to explain created using innovative digital business models. this unexpected consequence by unpacking the inscribed design properties, the expertise asymmetry and authority
relations between patients and physicians, and the notion that Digitization and the Changing Nature of Work disease itself is not neutral but an emotional event. Thursday, 19 April 2018 - 15h 00 - 16h 30 Gamification as a Job Design Intervention: A Theory Based Paper Session Overview of its Effect on Job Characteristics, Psychological Well- 33MS03 Classroom being and Performance This group of papers examines ways in which Big Data and Tina Peeters, Tilburg University digitization change the nature of work in diverse industries such Marc Prieto, ESSCA School of Management as medicine, science, and music. Organizations world-wide are rapidly implementing Implications of Digital Automation Technologies on Work gamification practices. Yet, the effects it has on employees and Design their job remains unclear, as previous research has found both positive and negative effects alike. Focussing on the application Ankur Jain, Indian Institute of Management, Bangalore of gamification as a job design intervention, this paper offers a Vasanthi Srinivasan, Indian Institute of Management theoretical rationale behind these conflicting results by linking Digital technologies are fundamentally changing the nature of the practice to the job demands resources-model (JD-R) and its work in organizations. Prior research on implications of typical outcomes engagement and exhaustion. In line with the technology on work design has focused on limited JD-R model, we also discuss how gamification can affect job characteristics of work design and has largely considered work performance. At the end of this paper a research agenda is as fixed and technology as an exogenous force. The objective of presented together with a number of theoretical and practical the research is twofold. One is to systematically examine how implications that should be considered when researching, digital technologies impact work design in detail and second designing and implementing gamification. look at the emergent nature of work using augmentation and socio-materiality lens. Big Data and Creative Work: Optimization within the Collective Leadership and Managerial Competencies for the Creative Process Digital Workplace Thursday, 19 April 2018 - 15h 00 - 16h 30 Elizabeth Lingo, Worcester Polytechnic Institute Paper Session Based on a comparative ethnography of creative work in the 33MS01 Business Insights Lab THURSDAY science and music industries, we examine how big data technology constrains and enables collective creative work. In The papers in this session examine the evolving role of both settings, we find that actors engaged in ongoing, tedious, leadership in adapting to digital workplace challenges. and iterative work we call optimizing to balance the granularity Automation and Experience: Investigating Changes in Human and magnitude that big data technology affords. We tease out Capital within Occupations the different ways optimizing manifests in the two settings, and how it differentially informs the collective creative process. Our Anke Schulz study provides rich evidence of how big data technology Automation is one of the main explanations highlighted in the reshapes everyday work, changes working relationships, and academic literature and popular business press for the great enables new ones. Further, it makes visible a critical part of the performance gains firms witness from using digital collective creative process in the context of big data, and adds technologies. A plethora of studies has found that it increases to best practices of comparative ethnography. managers need for higher levels of human capital, impacting Empowering Patients Through Data: Promise versus Practice both the type of workers and tasks in occupations. As studies typically regard changes in human capital across occupations, Elmira van den Broek, Vrije Universiteit, Knowledge, implications of automation on the human capital and nature of Information, Innovation (KIN) Research Group work within occupations are less understood. Using data on Anastasia Sergeeva, Vrije Universiteit Amsterdam programmers in over 3,000 video game development projects, I While increasing attention is given to transparency of personal find support that managers allocate on average more health data, relatively few studies approached the use of experienced workers to high automation projects. Building on patient data from a perspective of situated practice. Our behavioral theory, I consider cognitive challenges that very preliminary findings of observations of 115 patient inexperienced and experienced workers face when confronted consultations and 34 interviews in the oncology department with automation
Page | 55 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
The Influence of Data-Driven HRM on Employee Wellbeing: The same digital disruption. Explorative qualitative case studies Role of Responsible Leadership among exiting record companies in the Dutch music industry, during the transition from physical to digital music business Ruwan Bandara, University of Wollongong models (1997-2017), indicate three hurdles that lead to the Mario Fernando, University of Wollongong downfall of incumbents. Underlying these three hurdles is a Shahriar Akter, University of Wollongong framework, which illustrates how different temporal Despite the promise big data analytics hold for organizations, interpretations of digital innovation influence 1) the process of several challenges thwart realizing its potential. With mounting digital transformation, 2) the recognition of opportunities and debates over the use of big data, we focus on the ethical 3) the understanding of failure. challenges in the adoption and use of human resource analytics Innovating Innovation: Organizational Identities in the Age of (HRA). The decision to adopt and implement HRA can generate Discontinuity considerable employee dissension due to privacy and other ethical issues. Similar to other HR practices, we argue that Sarah Stanske employee perceptions of HRA will influence employee Albrecht Söllner, European University Viadrina wellbeing. In this context, we examine the role of responsible Markus Vodosek, German Graduate School of Management and leadership in the HRA-employee wellbeing relationship. To Law investigate this novel line of inquiry, we present a conceptual Heinz-Theo Wagner, German Graduate School of Management framework with associated hypotheses for future research. and Law Marketers, Big Data and Intuition - Implications for Strategy and Prior research has emphasized the importance of dynamic Decision-Making capabilities for fostering innovation. Yet, incumbent firms have difficulties sensing and seizing opportunities and reconfiguring Gopal Krishnan resources due to existing organizational identities. An Abstract As Big Data becomes more widely adopted across established organizational identity is likely to preclude certain many management functions, the processes and roles of options, including possible innovations. To innovate, however, management are changing as well. Specifically, marketers is of primary importance for firm survival. Environments are worldwide are grappling with issues relating to effective becoming more dynamic and digitalized, requiring decision-making in context of the opportunities and challenges organizations to continuously rethink their products and created by the emergence of big data. In this paper, we study services. We conducted an ethnographic case study of a German the evolving role that big data will play in decision making in system integrator that changed its business model through
marketing and how the marketing leader needs to evolve, in digital innovation. The study addresses the question of how the THURSDAY order to be productive in this new age. Seven CMOs of Fortune interplay between dynamic capabilities and organizational 500 firms were interviewed and a framework for decision- identity unfolds in an incumbent firm that engages in digital making using Big Data and intuition in marketing, has been innovation. created. Understanding the Acceptance of Digitalization-based Business Models: A Qualitative-empirical Analysis Do Digital Business Models Require Digital Sven M. Laudien Ricarda Bouncken, University of Bayreuth Organizations? Robin Pesch, University of Bayreuth Thursday, 19 April 2018 - 15h 00 - 16h 30 Paper Session Advancements in information and communication technology 34MS01 Business Insights Lab have recently condensed in the development of digitalization- based business models. These business models widely gain Papers in this session investigate the relationship between attraction, although drivers of value creation and determinants digital business models in organizations. of their market success or market failure remain nebulous. Time to Face the Music: An Explorative Study of Failed Digital Customer acceptance of these business models is a major issue Transformations in the Dutch Music Industry that determines their design and market success. We take on this phenomenon and show based on a qualitative analysis how Amber Geurts, Aalto University customer acceptance and business model design are linked. Our findings indicate that (a) digitalization-based business Although digital innovations provide tremendous opportunities models are in contrast to traditional business models are for firm growth, organizations often face difficulty to capitalize mainly determined by value delivery and (b) that the on these digital opportunities. Literature on entrant-incumbent acceptance of digitalization-based business models is dynamics during technological change have indicated entrant- determined by the interplay between the importance of time incumbent differences during fast technological change. and data protection on customer side. Limited attention has, however, been given to comparing different types of incumbents that perished in the face of the
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 56 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ Business Model Innovation to Enable Technology Adoption: complete list of transaction log to constructed a digraph. Our Case of Digital Payment Platform preliminary results show that Bitcoins transaction graph is a scale free network, which exhibits nonlinear preferential Milan Jocevski attachment. The network topological organization suffers Antonio Ghezzi, Politecnico di Milano strong variation during periods of extreme volatility. This Digitalization has been the main agent for change in the recent indicates a lower degree of network resilience to respond years. Payment industry has not been left immune to it, productively to notable change that disrupts the expected predominantly due to the changing behavior of end consumer, pattern of events. We conclude by discussing methods for but also due to many innovations and increased increasing the resilience of the crypto-currency market. competitiveness in the sector. Mobile payment service, whether Blockchain-based Business Models: Exploring the Link between provided by incumbent or insurgent firms, represents a Technical Potential and Economic Value platform in a two-sided market. It connects merchants and end consumers, but now in a digital way, which brings plethora of Peter Altmann, Chalmers University of Technology new services and added value to all parties involved. We looked Maria Elmquist, Chalmers University of Technology into how does business model innovation of two providers of The Ethereum blockchain offers two core technical features: an such innovations influences the adoption by merchants and ability to create a tamper-proof distributed ledger of computer which are the new aspects that digital platforms bring to the code and an ability to design economic incentives to align payment ecosystem. actors interests in an economic system. Yet, the business implications of the introduction of this technology are to a large extent unknown. This paper explores the potential business Blockchain Governance model implications of the Ethereum blockchain technology. Thursday, 19 April 2018 - 15h 00 - 16h 30 Specifically, it investigates how three emerging companies link Paper Session these technical potentials of the Ethereum blockchain to 39MS02 Classroom economic value. The findings show that while the companies find different ways to create economic value in their respective How will distributed ledger technologies shape organizations industries, there exist also commonalities in how they link and markets? technical potential to economic value in their business models. Managing Tokenized Organizations: Understanding Blockchain Blockchain-based Algorithmic Governance: Mechanisms for Technologies beyond the Cryptocurrency Phenomenon Settling Contentious Issues Ronei Leonel, University of Memphis Peter Altmann, Chalmers University of Technology Frances Fabian, University of Memphis Martin Wallin, Chalmers University of Technology One of the enablers of the Big Data revolution has been the This paper discusses the promise of blockchain-based innovation of data structures that solve important problems of algorithmic governance, i.e., the ways that code enables trust and intermediation requirements. We introduce practices of governance such as coordination, to settle organizations that are based on blockchain technology and contentious issues. Contentious issues can cause disagreement, THURSDAY explain some of their basic features and uses. While these debate, and growing tensions in an organization. Algorithmic tokenized organizations continue to expand in their application governance is no different from any other governance across industries and purposes, we propose to pursue three mechanism insofar that it must provide a resolution to these case studies of the largest cryptocurrency blockchains to issues to ensure an organizations survival, growth, and understand how value creation, funding and the governance prosperity. We provide examples and initial evidence from two structure of software development were managed. We offer blockchain-based organizations that have managed to settle a some salient dimensions and characterize organizational issues critical contentious issuethe scaling issuewith varying success. for tokenized organizations in relation to innovation We explain how algorithmic governance can be characterized management, and institutional creation. by its ability to deal with three different types of uncertainties Digital Organizing in Crypto-currency Markets: The Case of that underpin the resolution of contentious issues. Bitcoin George Kuk, Nottingham Business School As an open, distributed ledger, the block chain technology provides crypto-currency markets with a new form of digital organizing. However, can such a decentralized system withstand the reverberations from the financial markets? We use Bitcoin to answer this question. Because Bitcoin is built on a public, permissionless blockchain, we downloaded the
Page | 57 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
Big Data Insights into Institutions Using image recognition techniques, I create a computational Thursday, 19 April 2018 - 15h 00 - 16h 30 measure of novelty of over 7000 paintings of these artists. These Paper Session measures, in conjunction with the Google nGram Corpus, allow me to examine the relationship between the novelty and fame 72MS03 Classroom of these artists over 95 years and five languages. My analysis How big data reveal insights into institutions including suggests a weak or negative relationship between the average vocabularies and novelty. novelty of these artists and their fame. A key implication of this result is that innovators recognized as pioneers of paradigmatic Topic Modeling and Management Research Mapping Fields with shifts in a culture are conventional rather than novel. Big Data - Evidence from Two Research Projects The Staying) Power of Words The Persistence of Institutional Stephan Bohn, Free University of Berlin Cues in Corporate Vocabularies, 1975-2004 Aleksandra Perendija, Humboldt University Berlin Harsh Jha Kumar, Newcastle University Business School Hovig Tchalian, Claremont Graduate University, Drucker School of Management In our paper, we discuss the potential of topic modeling as a big data research tool to open the almost limitless archival and We propose a model of robust institutional change that pays real-time open access databases in order to find novel ways of attention to the values underlying institutional vocabularies, studying organizations. We build on literature that makes frames, and logics. We employ a complex case study, the rise languageframings, vocabularies, and wordscentral to and development of the corporate governance frame from 1975 understanding organizations and institution, specifically with to 2004. Employing a novel analytical method, we examine two respect to fields. We illustrate our arguments with findings from kinds of latent relationships that structure its vocabulary: two empirical projectselectromobility and energy transition in institutional cues regarding prominent corporate actors, such Germanyand explain how field level change could be mapped as CEOs, Boards, and shareholders; and value coordinates, and investigated with big data strategies. Overall, our aim is to underlying tradeoffs involving conflicts of interest and divergent provide more insights about the scopes of topic modeling incentives. Our analysis demonstrates that while institutional applications in management research and encourage cues shifted, value coordinates remained stable, in line with the organizational researchers to unlock the potential value of shareholder value perspective dominant during our period. We available big data in their respective empirical contexts. encourage research on institutional change that revives the earlier emphasis on values and directs greater attention to their Friend or Foe? The Adoption of Big Data in the Creative influence and staying power. Industries
Raissa Pershina Birthe Soppe, University of Oslo Digitalization, Datafication, and Industry THURSDAY THURSDAY Matthew Good Transformation This qualitative exploratory study investigates how Thursday, 19 April 2018 - 15h 00 - 16h 30 organizations in the creative industries integrate big data into Paper Session their organizational routines. Specifically, this paper explores 81MS02 Classroom how creative organizations that operate under conditions of conflicting institutional logics adopt big data. Our empirical This session discusses the papers examining the role of focus is the video gaming industry. We examine how video game digitalization and digital platforms on transformation of companies, struggling the competing logics of cultural traditional industry (e.g. hotel, retail). production and efficiency, adopt and integrate big data into Digital Platform Led Industry Transformation: A Case Study their product development. Which logic is driving and from the UK Grocery Retail Industry (WITHDRAWN) prescribing how big data can be utilized? Our findings explicate the impact of the advent of big data in the gaming industry and Mikko Hänninen, Aalto University School of Business related organizational challenges. Our insights also show how Lauri Paavola, Aalto University School of Business organizations in the creative and cultural industries can take This paper explores digital platform led industry advantage of big data while still preserving its traditions and transformation. Scholars agree that digital platforms spur artistic core. efficiency and innovation, opening the way for radical change in Conventional Revolutionaries: An Empirical Study of the different industrial settings. However, little is yet known about Relationship Between Artistic Innovators Novelty and Fame the dynamics of a digital platform led industry transformation. Using the example of the introduction of a digital platform in Mitali Banerjee, Columbia University the UK grocery retail industry, we illustrate how a digital I undertake a large scale analysis of the relationship between an platform led industry transformation evolves over time. Based innovators fame and the novelty of her creative output. My on our results, we propose that the digital platform led industry samples includes 75 pioneers of early 20th century modern art. transformation evolves in three distinct phases. First, data
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 58 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ creates data due to positive network effects, then the platform opportunities. During the process, we encountered three main takes a dominant role in the industry and finally the platform problems; the availability of data, the capabilities of AI creates more platforms. technology and the techno social barriers for implementing the use cases into healthcare organizations. The expectations From Margins to Mainstream: Big Data and the Future of around the use of health big data do take the adoption of new Materials Science technology as given. This study shows, that the obstacles of the Amber Geurts, Aalto University use of big data and AI are techno-social in nature. Nina Granqvist, Aalto University
Patrick Rinke In a time of rapid technological and societal changes, OrganizationaL Factors and Digital Technology innovation is considered vital. Yet from the countless new ideas Adoption and technologies that appear at the margins at an almost daily Thursday, 19 April 2018 - 15h 00 - 16h 30 base, few continue to become mainstream. To account for the Paper Session negotiations and battles won or lost that occur during a AP 2 Austin Pearce Lecture Theatre phenomenons development from margins to mainstream, we conduct an explorative study, in real time, of an ongoing new These papers identify important managerial capabilities and phenomenon: Big Data in Materials Science which provide firm structures that influence the success of adoption and unprecedented intelligence for materials discovery and design. implementation of digital technologies. However, the number of these initiatives is still comparatively Board Capital and the Internet of Things: Governance in the small, and the institutions and culture of science remain rooted Digital Era in the pre-digitization era. Using extensive ethnographic fieldwork, we document the paradigm shift in the institution René Ceipek, University of Innsbruck and culture of science and their practices. Julia Hautz, University of Innsbruck Kurt Matzler, Free University of Bolzano For Which Incumbents are Digital Platforms really a Threat? The Role of Asset Ownership We examine the role of social and human board capital on Internet of Things (IoT) technology development. Despite the Tim Meyer, Bocconi University high economic potential of the IoT, research has failed to Carmelo Cennamo, Bocconi University explain how firms govern themselves and organize their boards Digital Platforms can achieve large scale without incurring the for the development of IoT technology. In our panel study constraints of owning any physical assets, by simply focusing on between 2002 and 2012, we draw on patent data to test our hypotheses with a US firm sample. Our findings suggest, that THURSDAY matching buyers with sellers that own the required assets. Therefore, they are considered critical threats to traditional ties to other organizations through board external affiliations businesses, particularly to those at the low-end of the market. support IoT technology development. Against our expectations, Using hotel industry data, we show that, in fact, the incumbents independent members and prior or present CEO experience who are affected the most by the entry of digital platforms are embedded in the board negatively affect IoT technology the ones who used to benefit from owning both the core and development. Further, prior performance positively affects a complementary downstream assets required to succeed in an boards ability to introduce its human and social capital to align industry, because the digital platform will render these assets the firm with IoT innovation dynamics. obsolete. Therefore, platforms do not necessarily affect firms Digital Technology Adoption and Organizational Adaptiveness that operate in the same market segment, but those that are more differentiated and should be affected the least. Jacques Bughin, McKinsey & Company Tobias Kretschmer, LMU Munich Easier Said than Done; The Promises and Problems of Big Data Nicolas van Zeebroeck, Universit Libre De Bruxelles (ULB) and AI to Healthcare It has long been established that productivity gains from IT Karoliina Talvitie-Lamberg, University of Jyvskyl require complementary investments in organizational capital. Pasi Tyrväinen, University of Jyvskyl The more recent concept of digital transformation involves the Minna Silvennoinen adoption of digital technologies but also major organizational Anniina Ala-Kitula changes including governance, strategy and culture. Little is This paper introduces user-centered, problem based big data AI known on how the adoption of new generations of technology development project in healthcare. Most of the big data AI (e.g. big data, AI) interact with organizational change, and how development takes place inside the platform economy, both are shaped by firm expectations about their future impact. following the means of the platform owners. The project Our research aims to shed new light on the interplay between showed the need for national level expertise working for digital technology expectations, adoption and organizational creating nationwide solutions, which integrate the benefits of change. Our empirical analysis, based on two unique global cost-effectiveness, human-centric care and new business surveys of firms, covers a wide range of AI and digital
Page | 59 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
technologies. Preliminary results are suggestive of a Digital Transformation in Practice: Lessons from complementary effect of expectations and adoption on Industry organizational change. Thursday, 19 April 2018 - 15h 00 - 16h 30 The Influence of Managerial Capabilities on Digital Technology Symposium Integration: Required Management Competencies in Industries 80MS02 Classroom with Highly Specialized, Unstandardized Work Alan Brown, University of Surrey Christoph Klos, University of Kassel Tobias Röth, Kassel U. Digital transformation initiatives are currently sweeping across Patrick Spieth, Kassel University all business sectors promising to revolutionize traditional business models, optimize the design and delivery of new goods Objective of this study is to better understand predominant and and services, manage production systems more efficiently, required managerial competencies for digital technology redesign working practices and management principles, and integration in highly spe-cialized small and medium-sized much more. Aside from the technical challenges being enterprises. Previous research points to the importance of addressed, digital transformation has also enabled a more managerial capabilities in regard to technology selection and fundamental management shift to occur. In practice, integration. Unfortunately, current research still lacks of organizations are forced to shift perspective away from the analysis where digital technologies usually only play a specific technologies inherent in a digital world and towards the supportive role instead of re-placing entire work steps. We principles on which digitally-enabled organizations operate. address this shortcoming by following a grounded theory This panel will discuss the challenges of digital transformation approach. We center our findings on interview data from nine being experienced in industry today, describe some of the different cases which include 87 interviews. Preliminary results practical approaches being taken, and outline some of the key indi-cate that counteracting managerial capabilities lead to challenges that will shape the future. paradoxical tech-nology frames in the top management team. We connect our findings to the literature and contribute with new insights about digital technology inte-gration, managerial Managing Skill Obsolescence in the Age of Big capabilities and technology framing. Data Steering Committee Boundary Spanning Interactions and
Thursday, 19 April 2018 - 15h 00 - 16h 30 THURSDAY Formation Changes Related to Digital Technologies Symposium Implementations: A Qualitative Meta-Analysis AP 4 Austin Pearce Lecture Theatre Kris Murphy, Case Western Reserve University Raghu Garud, Pennsylvania State University Kalle Lyytinen Quy Huy, Insead Toni Somers, Wayne State University Rashik Paramar, IBM The digital economy requires us the think differently about Sumita Raghuram, The Pennsylvania State University organizational transformation and implementation of digital Yet another industrial revolution is upon us, this time driven by enterprise projects. Control groups in the form of steering digital technologies. In this panel symposium, we will explore committees are a leading indicator of IT sophistication, but employees reactions to skill obsolescence, displacement, and implementing digital technologies requires us to revisit these replacement that digital technologies are exacting. Besides boundary-spanning committees. The complexities (e.g., focusing on the behavioral facets of the creative destruction inconsistent and dynamic data, platforms, digital underway, we also want to understand the cognitive and organizational structures, real-time decisions, privacy, affective facets. For instance, do employees and organizations transparency) of digitization and big data projects suggest even realize a need for change in their skill sets, or do they only study is needed on how executive control groups interact and react when it is too late? How do emotions (e.g., fear and form. Hence, we posit that project-based, executive IT anxiety play) impact individuals reactions to these transitions? governance needs to be digitally enabled, transformative and How can organizations deal with these issues? To address these data-driven. We propose a qualitative meta-analysis of digital questions and more, we have assembled a panel from academia implementations using 30 case studies to understand how the and industry comprised of members with different interests, implementation of digital technologies requires control groups expertise, and experiences. to interact differently, take new form and require new capabilities.
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 60 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ Implications of Smart Industry for HRM: Beyond Archetypes of Platform-Hosted Crowds: Towards a General Future Employment and Necessary Skills Conceptual Language Thursday, 19 April 2018 - 15h 00 - 16h 30 Robert M. Bauer, Johannes Kepler University Linz Symposium Thomas Gegenhuber, JKU Linz 32MS03 Classroom Platform-hosted crowds grow fast in number, variety, and Milou Habraken, University of Twente socio-economic importance. Extant literature focuses on Tanya Bondarouk, University of Twente subsets of platform-hosted crowdshence its lack of Stefan Strohmeier, Saarland University generalizability and relies on traditional governance concepts Hertta Vuorenmaa, Aalto U. School of Business (i.e. market, organization and community) that failed to capture Maarten Van Riemsdijk platform-hosted crowds. We suggest defining platform-hosted Stephan Corporaal, Saxion University of Applied Sciences crowds in terms of large numbers of actors with digital Charissa Freese, HR Studies / Reflect identities, specific purposes reflected in purpose-specific digital infrastructures (i.e. exchange platforms), and host organizations Known under many different names, the interconnected providing platforms and orchestrating co-organizers. Specifying opportunities now at our disposal (digitization, big data, elementary exchange modes and types of content-to-be-ex- connectivity & resources) are bringing change. Yet our insights changed, we develop a typology of platform-hosted crowds. In into more socially oriented changes in general, and implications doing so, we propose steps towards a conceptual language for HRM specially are lacking behind when considering the capable of capturing all platform-hosted crowds and advancing amount of attention given towards this development. Though our understanding of markets, organizations and communities fundamental steps have been made in the direction of future by viewing them as instantiations of crowds. employment and necessary skills, we raise the need to look beyond these two streams in order to expand our knowledge on the implications for HRM due to smart industry. In this Gala Dinner and Keynote Address by Cassie symposium we therefore focus on the exploration of potential HRM implications as a result of smart industry. With as end Kozyrkov: The Data Driven Organization product a set of research questions for future projects into HRM Thursday, 19 April 2018 - 18h 30 - 23h 00 in smart industry. Guildford Cathedral Cassie Kozyrkov - Google The Conference Gala Dinner will take place in the spectacular Platforms and Governance Guildford Cathedral. The Cathedral is situated adjacent to the THURSDAY Thursday, 19 April 2018 - 15h 00 - 16h 30 University of Surrey campus and plays a significant role in the Paper Session lives of its students, each year hosting Graduation ceremonies 75MS02 Classroom for those completing their academic studies. These papers discuss the nature of platforms, how platforms As Chief Decision Officer at Google, Cassie Kozyrkov advises differ, and how they can be classified and governed. leadership teams on decision process, AI strategy, and building data-driven organizations. She works to democratize statistical Social Norms and Governance in the Platform Economy thinking and machine learning so that everyone - Google, its Maria Fernanda Arreola, ESSCA School of Management customers, the world! - can harness the beauty and power of Marc Prieto, ESSCA School of Management data. She is the force behind bringing the practice of Decision Assen Slim Science to Google and she has personally trained more than 15,000 Googlers in machine learning, statistics, and data-driven In this paper, we perform an analysis of platform governance decision-* (&+$ǽ"#,/"%"/ 2//"+1/,)"Ǿ0%"0"/3"!&+ ,,$)"ȉ0 through the optic of norm creation. For our analysis, we utilize Office of the CTO as Chief Data Scientist. Prior to joining Google, four typologies of different platform categories for which we Cassie worked as a data scientist and consultant. She holds contrast their utilization and governance mechanisms against degrees in mathematical statistics, economics, psychology, and the traditional theories of norm creation. Our analysis cognitive neuroscience. enlightens the type of norm-generating and enforcement mechanisms that have been privileged by each typology. Our The evening will provide the perfect opportunity for delegates key contribution is to widen the theoretical understanding of to network and celebrate together. Tickets for the Gala Dinner governance of platforms by pointing to the particular were included in your pre-paid delegate rate and include a mechanisms that are used for the generation of norms inside three-course meal with wine, as well as a variety of evening each typology. We conclude with four illustrations on such entertainment. differences. "!,%,-"1% 16,2ȉ))',&+20#,/1%&03"/60-" & )"3"+&+$ǽ
Page | 61 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
Keynote Address by Nuria Oliver: The Tyranny of Ethical Implications of Big Data in Human the Data? The Bright and Dark Sides of Data- Resource Management Driven Algorithmic Decision Making Friday, 20 April 2018 - 09h 45 - 11h 15 Friday, 20 April 2018 - 08h 30 - 09h 30 Paper Session Keynote AP 1 Austin Pearce Lecture Theatre Rik Medlik Lecture Theatre (03MS01) This session explores the ethical implications of using Big Data Nuria Oliver, PhD - Vodafone to make decisions about employees, customers, and recently unemployed individuals. Nuria Oliver is Director of Research in Data Science at Vodafone, Chief Data Scientist at Data-Pop Alliance and Chief Scientific Minority Report: A Big Data Approach to Organizational Advisor at the Vodafone Institute. She has over 20 years of Attempts at Deterring Unethical Behavior research experience in the areas of human behavior modeling , Harvard Business School and prediction from data and human-computer interaction. She Oliver Hauser , Deloitte holds a PhD in perceptual intelligence from MIT. She worked as Michael Greene , Rotman School of Management a researcher at Microsoft Research for over 7 years and as the Katy DeCelles , University of Toronto first female Scientific Director at Telefonica R&D for over 8 Michael Norton , Harvard Business School years. At the end of 2016 she was named Chief Data Scientist at Francesca Gino Data-Pop Alliance and in early 2017 she also joined Vodafone as We leverage big data and machine learning techniques in a the first Director of Research in Data Science. In addition, she is randomized field experiment with a U.S. state unemployment Chief Scientific Advisor to the Vodafone Institute. office to contribute a new theoretical perspective to behavioral ethics. Specifically, while previous solutions to unethical Her work is well known, with over 150 scientific publications behavior in organizations imply a rather static, one-size fits all that have received more than 11,000 citations and ten best model (such as implementing an organization-wide ethics code paper award nominations and awards. She is co-inventor of 40 or punishments), we draw on habituation theory and use filed patents and is a regular keynote speaker at international machine learning to target organizational members with conferences. behavioral interventions based on their algorithmic risk. Nuria’s work and professional trajectory has received several Furthermore, we leverage the statistical power afforded by big awards, including the MIT TR100 (today TR35) Young Innovator data, and the causal implications of randomized designs, to Award (2004), the Rising Talent award by the Women’s Forum estimate and compare the relative effect sizes of several for the Economy and Society (2009), the European Digital previously-identified deterrents (e.g., norms and punishments) Woman of the Year award (2016) and the Spanish National of unethical behavior alongside our newly-proposed Computer Science Angela Robles Award (2016). She has been interventions. named “an outstanding female director in technology” (El PAIS, 2012), one of “100 leaders for the future” (Capital, 2009) and one Legal and Ethical Challenges for HR in the Big Data Era of the “40 youngsters who will mark the next millennium” (El R Hamilton, University of Mississippi PAIS, 1999). She became an ACM Distinguished Scientist in 2016, William Sodeman, Seven Hills Foundation a Fellow of the European Association of Artificial Intelligence in 2016 and an IEEE Fellow in 2017. Big Data Analytics (BDA) can be useful for Human Resource (HR) departments not only to improve the HR function but also to Her passion is to improve people’s quality of life, both strategically improve human capital resources and firm individually and collectively, through technology. She is also performance. However, there has been little conversation in the passionate about scientific outreach. Hence, she regularly academic literature about the legal and ethical challenges F
collaborates with the media (press, radio, TV) and gives non- regarding HRs use of BDA. We discuss various legal RIDAY technical talks about science and technology to broad impediments to the use of BDA in the HR context, including US audiences, and particularly to teenagers, with a special interest employment discrimination laws as well as the European Data
on girls. Protection regulations. In addition, we discuss how HR BDA practices can be viewed through the lenses of several Twitter: @nuriaoliver traditional ethical frameworks that in some cases would suggest some legal HR BDA activities might not be appropriate and possibly demotivating to employees.
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 62
CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ Big Data and the Disillusioned Employee: The Ethical Internet of Big Data promises to make workplace monitoring more Things effective and efficient. This paper thus describes Big Data-based Human Resources (HR) analytics solutions and problematizes Brandon Randolph-Seng, Texas A&M University-Commerce two ethical challenges that HR departments are faced with Yasemin Atinc today: First, the cultural context that technology companies Son Bui produce Big Data solutions in leads to biases and business Zaki Malik models that influence analytics software in many problematic We propose a model of employee response to the use of ways. Second, when HR analytics software is implemented customer big data. In particular we address the issue of within organizations, the quantitative logic of Big Data avoiding disillusionment among employees when the real use of threatens to crowd out employees moral agency and integrity in big data is known to be used to influence customers preferences favor of compliance and control. Therefore, we suggest that HR in predatory ways. We review work done in the general management requires increased ethical awareness, critical data literature on big data and the internet of things as well as literacy, and the willingness to have employees participate in customers views on collecting their data. We then conclude with value-sensitive design methods along every stage of the a proposed model and determine that a predatory use of implementation process of workplace surveillance software. customer data will not necessarily lead to employee Algorithmic Management in the Sharing Economy disillusionment as long as that real use is also clearly communicated to the customer. Gemma Newlands, BI Norwegian Business School Christoph Lutz, BI Norwegian Business School
Christian Fieseler, BI Norwegian Business School Algorithmic Governance Sharing economy platforms have contributed to the global Friday, 20 April 2018 - 09h 45 - 11h 15 economy by opening up previously un-tapped sources of Paper Session income. However, the on-demand nature of many dominant AP 4 Austin Pearce Lecture Theatre sharing economy platforms problematizes accompanying narratives of provider agency, autonomy, and self- This session investigates the role of algorithms in organizing the determination. Through a tripartite system of algorithmic digital economy. management, namely surveillance, prohibitive architectures, How to Build Responsible AI? Lessons for Governance from a and behavioural nudging, platforms have been accused of Conversation with Tay leveraging managerial control over their providers. To broaden the picture, we present the results of a survey study across 12 Mark Taylor European countries. Results indicate that a substantial minority Jochen Schweitzer, University of Technology, Sydney of providers feel they have to provide more often than they Artificial Intelligence (AI) is intelligence displayed by a machine would like and lack control over the parameters of their sharing observing its surrounding and acting to maximise its ultimate participation. Uber drivers, providers in Italy, and those goal. The recent developments of AI have progressed to such an motivated by social benefits are particularly vulnerable to extent that many scholars now stress the importance of algorithmic pressure. creating AI that is safe and responsible. This is important as Algorithmic Ecosystem organizations continue to develop algorithms that turn out harmful for those involved and affected by AI. We review the Jonas Hedman, Copenhagen Busienss School example of Microsofts chatbot Tay, which posted inflammatory, Carsten Sørensen, London School of Economics offensive and racist tweets in 2016. The example demonstrates Kasper Lindskow, JP/Politikens Hus how AI is not without risks. To help avoid risks, we use a While digital platform are increasingly well-researched, the qualitative approach to study organisations that developed and ecosystem concept is still relatively unresolved. Whether implemented a chatbot. Our objective is to further understand defined as an organisational, technological, or economic both technical and organisational governance practices that construct, the role of digital and interactive algorithmic ensure responsible AI. capabilities is still largely unresolved in the discussions of ecosystems. This paper is based on a data corpus of 107.500 FRIDAY Workplace Surveillance and Big Data: Contextualizing Digital Threats to Employees Moral Agency and Integrity web page views created through extensive harvesting and analysis of digital resource exchanges between 43 North Thorsten Busch, University of St. Gallen American news distributors and their 1323 partners. These Christoph Schank, U. of St. Gallen digital resource exchanges are conducted through semi- Ulrich Leicht-Deobald, University of St. Gallen autonomous and interactive algorithmic contracts evoked and Antoinette Weibel, University of St. Gallen executed through web-cookies and real-time auctions. The Simon Schafheitle, University of St. Gallen paper proposes the algorithmic ecosystem construct as a Gabriel Kasper, U. of St. Gallen separate socio-technical arrangement, and will discuss it in the Isabelle Wildhaber, U. of St. Gallen context of future digital innovation challenges.
Page | 63 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
Consequences of Data-Driven Decision-Making integrators are bringing pharmaceutical volume, velocity, and Practices veracity data together using cloud based Platform and Analytics as a Service. By bringing all retail pharmacy data into one place Friday, 20 April 2018 - 09h 45 - 11h 15 it is enabling owner/managers to analyze their entire business Paper Session to bring the critical functions of client service and HR 81MS02 Classroom management to the forefront for analysis and action. This Three studies explore the intended and unintended creates value not available using current isolated and manual consequences of data-driven decision making practices. legacy HR systems, and allows a restructure of Ulrichs model to allow for owner/managers big data literacy in HR delivery. Predictive Policing: How Algorithms Inscribe the Understanding of Crime in Police Work Lauren Waardenburg, Vrije Universiteit Amsterdam Digital Networks and Communities Anastasia Sergeeva, Vrije Universiteit Amsterdam Friday, 20 April 2018 - 09h 45 - 11h 15 Marleen Huysman, Vrije Universiteit Amsterdam Paper Session This research focuses on the consequences of the shift to data- AP 2 Austin Pearce Lecture Theatre driven work for daily police work. Our ongoing ethnographic These papers look into the role of networks and communities in field study of a team of police officers shows that predictive the realm of big data and digital organizations. policing algorithms inscribe a different crime theory-in-use i.e., the understanding of why crime occurs and how it should be Temporal Trajectories of Enacted Complexity in Creative Project prevented that influences daily police work. Instead of having a Teams social-environmental crime perspective, police officers are Kenneth Goh, Singapore Management University shifting attention towards features of the physical environment Brian Pentland, Eli Broad College of Business as explanations of why crime occurs. Our preliminary findings have implications for debates on the consequences of data With technologies to capture fine-grained measures of behavior analytics by showing how the different theory-in-use inscribed now more ubiquitous, organizational researchers are now able in data-driven work influences traditional work practices. to consider networks of actions performed by multiple actors as a unit of analysis. We apply the action network construct as a Exploring the Implications of Data-driven Practices for HRM measure of enacted complexity. Because previous Power conceptualizations of complexity viewed the construct as a Markus Ellmer, University of Salzburg descriptive organizational property, capturing this property Astrid Reichel, University of Salzburg over time was a non-issue. But given the emergent nature of enacted complexity, questions about how complexity unfolds In our proposal, we suggest theoretical and methodological over time become meaningful. This paper thus examines how avenues to explore the implications of data-driven practices for enacted complexity unfolds over time by investigating the HRM power in organizations. To account for the role of both temporal trajectory of actors and actions. We present our people and technology in constituting power relations, we build findings from an analysis of 11,023 task sequences of four on Actor-Network theory and understand power as a videogame development projects with qualitative data phenomenon resulting from the interactions of human and non- collected over two years. human actors. Methodically, we propose data journeys as a frame to systematically trace the flow of data through the Back to the Community: Effects of Data-Driven Peer-To-Peer organization. This allows reconstructing how data assembles Interaction on Insurance Business actor-networks that produce implications for HR power. We Albrecht Fritzsche argue that the suggested lens entails important insights into the Thomas Zwack, HHL Leipzig Graduate School of Management implications of datafication for the HR profession and
contemporary approaches to managing people in Big data applications allow people looking for insurances to FRIDAY organizations. find communities of peers and secure each other in new ways. This paper presents insights from a multiple case study of Big Data in Small Retailers Ȕ A Nexus of Opportunity between existing peer-to-peer solutions in the context of insurance Owner Managers and HRM offered on the internet. It analyses different levels on which Peter ONeill, Monash University peer-to-peer interaction is implemented, from technical in- Nell Kimberley, Monash University frastructure to contract agreements and community Kirti Mishra, Indian Institute of Management management. Results show that peer-to-peer solutions in the context of insurance are still in an early stage, but have Ulrichs HR role alignment structure shows a mismatch with the potential to dis-rupt conventional insurance business, as they dynamic of SMEs in data driven economies. We challenge the change the bargaining situation and allow the design of hybrid literature via two premises that link big data in small retailers, owner/managers and HRM. Early results show that big data
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 64 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ offerings to secure practices in which financial coverage is only With pervasive use of synonymous terms like Business one out of many aspects. Intelligence & Analytics, Data Analytics and Big Data, many large organizations are investing in such Analytics solutions. Tweet, Tweet, Cash? The Role of Geographical Dispersion in However, academic research on organizational implications or Online and Offline Mobilization of Campaign Donations performance consequences has lagged. Building on the Tijs van den Broek, University of Twente theoretical foundations of Resource-Based View, Knowledge- Marianna Avetisyan, University of Twente Based View and Absorptive Capacity, this paper makes a Stephanie van den Berg, University of Twente beginning towards understanding how firms can use Big Data Analytics to gain and sustain competitive advantage. In doing Digital media provides non-governmental organizations (NGOs) so, this paper intends to make two major contributions- with ample organizing opportunities due to digital medias large (1)developing a comprehensive definitions of the terms Big Data reach, low participation threshold, personalization options, and and Big Data Analytics; (2)developing a new BAM^DDC- low operating costs. Consequently, digital media as a mobilizing DAM^PPC Model for evaluating Analytic Maturity. This paper structure has received vast attention among organizational and focuses on management, organizing and competing in a Big information systems scholars. However, there is limited Data-enabled business environment, hence suitable for Track-1 research on how these online and offline spheres jointly result of the Conference in collective action outcomes and what the boundary conditions are. Based on the task-media fit hypothsis, this The BI&A System: Building Matured Business Intelligence in paper studies how geographical dispersion of team members Organizations within a fundraising campaign moderates the influence of Amrita George, Georgia State University online and offline mobilization on collecting donations over Kurt Schmitz, Georgia State University time. We use a unique panel dataset of Movember's fundraising Veda Storey, Georgia State University process that contains both fundraisers Twitter activity and fundraising events. Organizations continue to seek ways in which to focus on data to help them compete. Business Intelligence & Analytics (BI&A)
systems support organizations decision-making and, in turn, Competitive Digital Organizations their survival chances. There exists a compelling need for a Friday, 20 April 2018 - 09h 45 - 11h 15 comprehensive Business Intelligence Maturity Model to aid organizations in evaluating their existing BI&A systems to Paper Session identify areas of improvement. Addressing gaps in the BI&A AP 3 Austin Pearce Lecture Theatre system will facilitate progression to high levels of effectiveness. These papers revolve around how to build competitive digital In this research, the main technical and non-technical organizations. dimensions of a BI&A system are identified using Work Systems Theory. A Business Intelligence (BI) Maturity Model is proposed Really the New Oil? A Resource-based Perspective on Data- that maps descriptive characteristics for each dimension across driven Innovation analytic adoption stages (aspirational, experienced, and Philipp Hartmann, Technische Universitt Mnchen transformed). The proposed BIMM is then evaluated and Joachim Henkel, Technische Univ. Muenchen validated using a modified Delphi technique. Machine Learning (ML) is considered a key driver of innovation What Will (and Should) Sustainable Digital Maturity Look Like? A and growth, facilitated by the availability of massive amounts of Delphi Study on Long-term Ethical Implications of Digital data. However, there is a lack of research regarding the factors Business Transformation enabling companies to benefit from this technology and the Fabio Petani, INSEEC Business School resources that are able to secure a competitive advantage from Ishraf Zaoui it. We address this gap, using data from a survey among 121 Sergey Kovalev start-up companies in the field of ML. Our initial results confirm Pascal Montagnon that the surveyed firms not only consider the most important resource to be data but having valuable, rare, inimitable and The capacity to capture business value through digital FRIDAY non-substitutable (VRIN) data is positively associated with transformation is clearly not only a matter of input of modular Venture Capital funding. ML talent is seen as the second most technologies, but involves managing a broad generative change important resource, and scores even higher than data on a scale in organizational culture, talent and leadership. Less clear is at measuring VRIN characteristics. what historical stage this industrial revolution is in, what human and environmental resources are being rapidly consumed, and Can Big Data and Business Analytics Help Organizations Achieve how, if at all, should digital innovation be regulated to mitigate Sustainable Competitive Advantage? A Developmental Inquiry globally undesired effects like unemployment, environmental Tushar Shah, University of Texas At Arlington waste and deteriorated (work) human relations. A Delphi study on these issues is conducted with a panel of experts from the academy, management consulting and industry to gain a
Page | 65 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
prospective view on tomorrows sustainable best practices and Competence Requirements for HR Analytics regulation policies of digital transformation, and on what Silje Hammervold Hoff sustainable digital maturity will (and should) look like. Sophie De Winne, KU Leuven HR analytics is considered a must have capability for the HR Individual / Team Competencies for Analytics and profession (CIPD, 2013). Yet, an often heard criticism is that HR Digitalization professionals are lacking the necessary skills. By means of an exploratory qualitative research, we focus on the competences Friday, 20 April 2018 - 09h 45 - 11h 15 required by HR analytics. Through semi-structured interviews Paper Session with six HR analytics professionals, and content analyses of six 72MS03 Classroom HR analytics articles, we map the necessary competences. Our The papers in this session present findings on new competency preliminary findings also show that (1) the HR analytics process profiles needed for individuals and teams to effectively respond consists of four phases, (2) the people involved and the to digitalization. competences change from phase to phase, (3) firms should build teams of HR professionals and data analysts who possess What Competency Profiles are Required to Handle complementary competences, and (4) the competences are Digitalization? The Soft Skills that Data Analysts Should Possess contingent upon features of the firm and the role of the HR Elena Bruni, C Foscari University of Venice department. Sara Bonesso, C Foscari University of Venice Fabrizio Gerli, C Foscari University of Venice Digital Competencies and Capabilities The advent of digital economy is deeply changing our habits Friday, 20 April 2018 - 09h 45 - 11h 15 and the practice of management. Business activities are Paper Session increasingly digitized and a new profile of workers has emerged, namely that of data analyst/scientist. If its technical skills are 80MS02 Classroom clear, the emotional, social, and cognitive (ESC) competences Papers in this session explore the role of competencies and are still underexplored. This study addresses this void through capabilities in the digital organization. an exploratory study on a sample of data analysts. In-depth empirical evidence collected through Behavioural Event Digital Competences in Retail Banking: Building a Model Interview demonstrated that data analysts require a wide Anastasia Leonidova, Novosibirsk State University repertoire of behavioural competencies to attain successful Elena Aliabina, Novosibirsk State University performance and to face the challenge of the digital transformation. This study advances the research about the The digitalization of banks as drivers of knowledge economy is impact of Big Data on emerging jobs, identifying the ESC inevitable. However, a serious obstacle is the shortage of competencies activated and deriving implications to the professionals with digital skills and the overall low level of competency-based human resource management practices. digital literacy in society. The concept of digital competences can help in defining the precise requirements to bank Agility in Digital Venture Teams - The Effects of Polychronicity, employees. The elaborated model of digital competences in Future Orientation and Organizational Deadline Culture banking guides practitioners through the process of setting the Jana May, University of Mannheim priorities in the areas of digitalization to the definition of Matthias Brauer, University of Mannheim relevant digital competences. The case of Russian Sberbank shows that being a leader in traditional banking is not the same The digitalization of the workplace requires the build-up of new as being a digitally savvy bank. The proposed model of digital competencies. Specifically, agility, which describes the
competences in banking can be useful in focusing Sberbanks FRIDAY capability to quickly adapt to changes and to proactively sense digital activities and determining relevant specific and general opportunities and threats, has been proposed a major digital capabilities. determinant for positive task performance in the face of radical change and greater need for high responsiveness. While prior Global Business and the Digital Economy: Agendas for contributions have helped to define the core attributes of International Business Research agility, our scholarly understanding of how organizations can Liang Chen, University of Sussex effectively develop this important capability is underdeveloped. Jiatao (J.T.) Li, Hong Kong University of Science and Technology To address this shortcoming we apply a temporal lens and Jingtao Yi, Renmin University of China examine how a teams time perception and time management Jiye Mao, Renmin University of China affect team agility. Moreover, we analyze how agility influences venture success. Our findings are expected to further our Since digital technologies intrinsically foster understanding about effectively managing teams in the era of internationalization, International Business has seen a growing digitalization. scholarly interest in how platform networks, digital
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 66 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ communication and user-aided innovation shape firms The Role of Knowledge in the Digital international expansion and capability development in ways Organization that contradict received wisdom. We draw on recent insights Friday, 20 April 2018 - 09h 45 - 11h 15 from management studies to distinguish between digital-native firms and traditional MNEs, which face varying challenges in Paper Session digital transformation. We then discuss how the advantages 34MS01 Business Insights Lab (and disadvantages) of each group, resulting from home This group of papers examines the role of knowledge in the light country conditions, affect their internationalization and of big data and digital organizations. competition. Our objective is to explore opportunities for IB research. Using Design to Secure Knowledge-based Competitive Advantage in the Digital Age Big Data and Organizational Capabilities: A Grounded Study in a Pharmaceutical Company Dmitry Sharapov, Imperial College Business School Samuel MacAulay, University of Technology Sydney Ketty Grishikashvili, the Open University Giacomo Carli, The Open University Business School Knowledge is a source of competitive advantage for organizations but its public good character creates difficulties in With a grounded study in a global pharmaceutical company, we detecting its expropriation. While prior work has considered investigate how organizational capabilities can be developed in legal and economic mechanisms of securing knowledge-based order to utilize big data. Big data have posed several challenges competitive advantage, our contribution lies in focusing on to companies: besides their collection, itis their fruitful use that design. In doing so, we show how organizations can has still to be disentangled. To develop an effective strategically manipulate knowledge manifestations (e.g., maps, combination of organizational capabilities and fully benefit blueprints) to buttress their privileged access to it, and to from big data, companies would need to master their identify and sanction those attempting to access this operational capabilities, but how this combination of diverse knowledge illicitly. We derive nine theoretically distinct types of capabilities unfolds remains still unclear. We combined knowledge manifestation that can be used for these ends and interviews and observations of two project teams located in organize them into a novel two-dimensional conceptual Europe, the Middle East and Africa and Global managers framework for comparison, thus expanding the scope of involved in big data utilization project. Our findings shed light in strategies considered in existing literature and drawing this internal process showing how trial and error projects take scholarly attention to a new unit of analysis for studying place and are transformed into organizational capabilities. innovation. What Team Competence and Attributes During a Project Organizational Reconfiguration and Knowledge Recombination Influence Organizational Performance After the Project is for Digital Innovation Completed? Axel Hund, German Graduate School of Management & Law Gloria Miller Daniel Beimborn, Frankfurt School of Finance & Management The analytical, data, technical, and business competence Heinz-Theo Wagner, German Graduate School of Management required for Big Data and Analytic are often described as critical and Law for success but a challenge to find.(Akter & Wamba, 2016; Fitz, Tim Weitzel, University of Bamberg Hauer, & Steinhoff, 2015) Specifically, the Data Scientist role is We address how organizational reconfiguration and external described as having all these competencies in a single person. knowledge leverage is related to a firms knowledge (Davenport & Patil, 2012) However, it has long been recombination ability and digital innovation success. To acknowledged that decision support systems implementations, develop digital innovation, firms tap a variety of heterogeneous the Information Technology category to which Big Data backgrounds to exploit the ease with which different knowledge belongs, require multidisciplinary teams (Sprague, 1980). This fields can be represented as digital artifacts. We conceptualize paper uses the Hollenbeck, Beersma, and Schouten (2012) team that firms need to be aware of a fluid and dynamic dimensional scaling framework to asks the question what team recombination space that faces frequent adaptions and great competence and attributes during a project influence
FRIDAY time pressures incurred by customer demand. Therefore, the organizational performance after the project is completed? actors involved in the development process come from different sources from within and without the firm as the inclusion of digital technology challenges previously non-digital organizational innovation logics. We further theo-rize that a climate conducive to collaboration within the recombination space motivates all ac-tors to engage in knowledge recombination.
Page | 67 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
The Future of Knowledge Work: A Case Study of the Diagnosis of This paper focuses on evolutions in the core-periphery Rare Diseases in the Era of Big Data architecture of platforms. Platform firms are encouraged to add more elements into their systems due to benefits such as entry Georgia Hay, The University of Western Australia barriers. For successful additions, previous research mainly Florian Klonek, The University of Western Australia suggests consumption complementarity as a determinant. This Sharon Parker, The University of Western Australia paper raises another important issue in adding new elements: The exponential growth of knowledge within the health industry configuration of users. Configuration theory suggests that is a major challenge for health care workers. Organisations are adding new elements to a system do not follow linear additivity, developing digital platforms that store and analyze big patient but it creates different configurational patterns or consistencies data to facilitate diagnostics and mitigate information overload for observers. This means disruptions in the existing for clinicians. We focus on the role of a technological ecosystem, configurational theme of a platform that can lead to negative Patient Archive, within the Western Australian Undiagnosed user experiences. Therefore, this paper conducted inductive Diseases Program (UDP-WA). The UDP-WA uses Patient Archive studies to explore following issue: what design practices exist to to guide the coordinated activities of an expert panel of manage change (i.e addition of new elements) in a core- clinicians. We explore how Patient Archive changes the work periphery based system? design characteristics of clinicians and have approach these Platform Ecosystems and Multihoming: Evidence from the questions initially with a qualitative ethnographic approach. We Mobile App Industry expect to assess the degree to which digital systems will change the nature of clinical diagnostic work in the future and to Liang Chen, University of Sussex provide policy implications. Jingtao Yi, Renmin University of China Tony W. Tong, University of Colorado You Shall (Not) Pass: Who Votes for Whom in Granting Authority Sali Li, University of South Carolina in Online Knowledge Production Communities? We study a source of multihoming cost for complementors in Linus Dahlander, European School of Management and platform-centric multi-organization ecosystems, and how the Technology cost may be alleviated. We find that an ecosystems relative Helge Klapper, Rotterdam School of Management complexity reduces apps chance of multihoming to that Henning Piezunka, INSEAD platform. The relationship is weakened as developers have Research has examined who gains authority in knowledge more experience with the second platform, and when the production communities, but has neglected the community developer has relied more on modular complementary members granting authority. We ask: when do community resources in building the focal app for the first platform. Our members engage in the authority granting process and why do analysis is based on newly launched mobile apps on the iOS and they support or oppose a candidate? We theorize that Android platforms. We extend literatures on platform community members willingness to engage in the authority ecosystems, complementarity, and modularity. granting process depends on their task similarity. We depart Exploring the Logic of Modularity in the Context of Digital from earlier literature by arguing that task similarity is a two- Technologies edged sword as a source of support and opposition, which we explain is related to strategic considerations of the voter. Using Viktor Avlonitis, Copenhagen Business School a unique dataset of all Wikipedia elections from 2003 to 2014, Juliana Hsuan, Copenhagen Business School we study when community members vote and whether they A growing number of organizational scholars and practitioners vote in favor or against candidates standing for election for invoke the concept of modularity to provide insights to a variety administrator positions. of problems in their respective fields. Modularity is the central structural characteristic of platforms which have become
essential to the development of digital innovation. However, FRIDAY Platform Architecture and Modularity research on digital technologies has called to question Friday, 20 April 2018 - 09h 45 - 11h 15 established assumptions of modularity. Aiming to clarify the Paper Session concept across domains and encourage a convergence of 33MS03 Classroom perspectives around the different views, we explain modularity and its opposite, integrality, across three analytical levels: This session presents new theoretical and empirical insights on market offerings, organizational structure, network the the architecture of digital and data-driven platforms and relationships. modularity.
Design Practices to Govern a Core-periphery Architecture Sungu Ahn
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 68 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ Conducting Human Capital Big Data Analytics The Future of Digital Transformation in Urban Research for Organizational Impact: What Have Environments We Learned in Practice Friday, 20 April 2018 - 09h 45 - 11h 15 Thursday, 19 April 2018 - 09h 45 - 11h 15 Symposium Symposium 39MS02 Classroom 32MS03 Classroom Lampros Stergioulas, University of Surrey Dana Minbaeva, Copenhagen Business School Masoud Fakhimi, University of Surrey Joseph Cullen What can we learn from inductive and predictive analytical Navoni Mustafee approaches to using data in practice contrasted with more Munir Abbasi deductive and descriptive analytical approaches used in Sophie De Winne, KU Leuven academia? Could the emergence and the use of Big Data in organizations mark a turning point in managerial scholarship This panel aims to bring together lead academics and that eventually accelerates the greater acceptance of a more practitioners in the digital transformations in urban inductive model of knowledge production in management environment to discuss ideas and future research for facilitating research? And if so, what should we researchers and a better uptake, further enhancement and up scaling of digital practitioners do to facilitate this greater acceptance? The innovation to support the growth of sustainable (e.g. circular) objective of the symposiumis to compare and combine the economies in urban environments, exploring and fostering insights and experiences about working with human capital linkages between big data, digital innovation, strategy and data analytics from the professional world and academic world practice. During the session, the panellists will discuss a range and to use these multiple presentations to open new avenues of expert topics focusing on: Transforming urban environments for theory building and renewed ways to conduct empirical (Data-driven innovation and analytics, Innovation generation in research. urban environment, Citys Innovation Generation Capacity, Smart Cities, opportunities and challenges, Innovation processes in cities, design enabled innovation strategy, import Predicting Psychological Characteristics from replacement), Business model innovation, and New forms of economy (i.e. digital economy, circular economy, urban Digital Footprints and Implications for economies, bio-economy). Organizations, Governments and Society
Friday, 20 April 2018 - 09h 45 - 11h 15 Symposium From Professional to Artificial Knowledge - 33MS01 Business Insights Lab Digitalization and the Professional Service Firm Poruz Khambatta, Stanford University Friday, 20 April 2018 - 09h 45 - 11h 15 The advent of Big Data and predictive algorithms has opened up Symposium new vistas for organizations hoping to better understand their 32MS01 Classroom employees and customers. The digital footprints individuals Andreas Werr, Stockholm School of Economics leave behind when using their smartphones or computers can Frida Pemer, Stockholm School of Economics reveal valuable information about them, thereby empowering Tale Skjølsvik, Oslo and Akershus University organizations that harness this data. This symposium will Karl Joachim Breunig, Oslo and Akershus University demonstrate the striking capabilities that such algorithms have Juani Swart, University of Bath -- for both practitioners who can apply such technologies to Tim Morris, Sad Business School further their organizational goals and for researchers who can Professional service firms (PSFs) have generally been regarded use such approaches to better understand organizational as the ultimate example of knowledge-intensive organizations phenomena. Panelists will also discuss the ethical and have therefore long been viewed as protected from responsibilities incumbent on those who deploy such automation and digitalization. Recently, however, scholars have
FRIDAY technologies in management contexts, such as hiring, and the suggested that society is facing a fourth industrial revolution broader implications of this technology for organizations, and that this time around it is knowledge intensive governments, and regulatory bodies. organizations that will feel the effect of automation. The proposed presenter symposium investigates the challenges of digitalization on professional services firms from a number of different perspectives including challenges to the professions, business models, organization and management models and work practices. It also discusses how contemporary PSFs deal with these challenges. These issues are discussed by scholars
Page | 69 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ Conducting Human Capital Big Data Analytics The Future of Digital Transformation in Urban Research for Organizational Impact: What Have Environments We Learned in Practice Friday, 20 April 2018 - 09h 45 - 11h 15 Thursday, 19 April 2018 - 09h 45 - 11h 15 Symposium Symposium 39MS02 Classroom 32MS03 Classroom Lampros Stergioulas, University of Surrey Dana Minbaeva, Copenhagen Business School Masoud Fakhimi, University of Surrey Joseph Cullen What can we learn from inductive and predictive analytical Navoni Mustafee approaches to using data in practice contrasted with more Munir Abbasi deductive and descriptive analytical approaches used in Sophie De Winne, KU Leuven academia? Could the emergence and the use of Big Data in organizations mark a turning point in managerial scholarship This panel aims to bring together lead academics and that eventually accelerates the greater acceptance of a more practitioners in the digital transformations in urban inductive model of knowledge production in management environment to discuss ideas and future research for facilitating research? And if so, what should we researchers and a better uptake, further enhancement and up scaling of digital practitioners do to facilitate this greater acceptance? The innovation to support the growth of sustainable (e.g. circular) objective of the symposiumis to compare and combine the economies in urban environments, exploring and fostering insights and experiences about working with human capital linkages between big data, digital innovation, strategy and data analytics from the professional world and academic world practice. During the session, the panellists will discuss a range and to use these multiple presentations to open new avenues of expert topics focusing on: Transforming urban environments for theory building and renewed ways to conduct empirical (Data-driven innovation and analytics, Innovation generation in research. urban environment, Citys Innovation Generation Capacity, Smart Cities, opportunities and challenges, Innovation processes in cities, design enabled innovation strategy, import Predicting Psychological Characteristics from replacement), Business model innovation, and New forms of economy (i.e. digital economy, circular economy, urban Digital Footprints and Implications for economies, bio-economy). Organizations, Governments and Society
Friday, 20 April 2018 - 09h 45 - 11h 15 Symposium From Professional to Artificial Knowledge - 33MS01 Business Insights Lab Digitalization and the Professional Service Firm Poruz Khambatta, Stanford University Friday, 20 April 2018 - 09h 45 - 11h 15 The advent of Big Data and predictive algorithms has opened up Symposium new vistas for organizations hoping to better understand their 32MS01 Classroom employees and customers. The digital footprints individuals Andreas Werr, Stockholm School of Economics leave behind when using their smartphones or computers can Frida Pemer, Stockholm School of Economics reveal valuable information about them, thereby empowering Tale Skjølsvik, Oslo and Akershus University organizations that harness this data. This symposium will Karl Joachim Breunig, Oslo and Akershus University demonstrate the striking capabilities that such algorithms have Juani Swart, University of Bath -- for both practitioners who can apply such technologies to Tim Morris, Sad Business School further their organizational goals and for researchers who can Professional service firms (PSFs) have generally been regarded use such approaches to better understand organizational as the ultimate example of knowledge-intensive organizations phenomena. Panelists will also discuss the ethical and have therefore long been viewed as protected from responsibilities incumbent on those who deploy such automation and digitalization. Recently, however, scholars have
FRIDAY technologies in management contexts, such as hiring, and the suggested that society is facing a fourth industrial revolution broader implications of this technology for organizations, and that this time around it is knowledge intensive governments, and regulatory bodies. organizations that will feel the effect of automation. The proposed presenter symposium investigates the challenges of digitalization on professional services firms from a number of different perspectives including challenges to the professions, business models, organization and management models and work practices. It also discusses how contemporary PSFs deal with these challenges. These issues are discussed by scholars
Page | 69 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ analysis is twofold. First, we attempt to identify the relevant Digitalization is enabling supernormal value generation in actors, institutions, interactions and infrastructure that drive emerging industry ecosystems such as SynBio. Hence, the the artificial intelligence. Second, we evaluate the seven ability to promote a growth trajectory by strategically governing functions of the focal innovation system, i.e., experimentation coordination of value generation activities is becoming a by entrepreneurs, knowledge development, knowledge desirable but seemingly paradoxical skill. In an effort to learn exchange, guidance of the search, market formation, resource what are the preferred coordination modes to strategically mobilization, and creation of legitimacy. govern industry ecosystems on a growth trajectory, our research examines governance approaches over the history of SynBio industry ecosystems in two nations. Qualitative Networks and Knowledge comparative analysis enables us to systematically identify Friday, 20 April 2018 - 13h 15 - 14h 45 configurations of coordination modes that can explain growth and decline in the industry ecosystems over time, thereby Paper Session providing early empirical evidence on the interacting effects of 32MS01 Classroom different governance approaches on growth in emerging These papers investigate how digitization can facilitate industry ecosystems. knowledge creation and sharing, as well as value capture. How do Provider Companies Create and Capture Value from Big Social Networks, Information Access, and Work Performance Data Technology: An Exploratory Multiple Case Study Analysis Wai Fong Boh, Nanyang Technological University Andrea Urbinati, Politecnico Di Milano Chien Hui Chuang Marcel Bogers, University of Copenhagen Yan Lin, Nanyang Technological University Vittorio Chiesa Anne Wu, National Chengchi U. Federico Frattini, Politecnico di Milano School of Management Distinguishing between ones advice and friendship network, we Big Data has emerged as a new digital paradigm that companies theorize on how individuals offline social network structure (i.e., implement to transform existing business models and nurture centrality and brokerage) influence their online their innovation activity. This has provided the emergence of a communications. This allows us to investigate the information rich domain in terms of managerial and practical implications, and non-information benefits that individuals derive from their typically addressed from the user perspective. However, we still social networks, which lead to better work outcomes. lack a complete understanding of how companies that provide Combining data from surveys, an organizations email database, Big Data solutions can create and capture value from these and HR records, we shed light on the relationships between solutions. Therefore, this paper explores the question how social networks, online communication, and work performance. provider companies create and capture value from Big Data technology, drawing on a multiple case study analysis. The The Diminishing Role of Tacit Knowledge: An Opportunity- results present two main innovation service strategies based on Based Theory of the Digital Economy Big Data technology and highlight how the stakeholders' David Noble, University of Connecticut network influences the relationship between strategy Matthew Mazzei, Samford University development and the effectiveness of the provider companies innovation process. The strategic importance of digital transformation has been ushered into the strategy literature primarily through the role of big data and big data analytics in the creation of sustainable Digital Platforms and Ecosystem Governance: Is competitive advantage under the Resource-based View of the firm. Looking beyond the role of RBV, the authors discuss the Dominance Unavoidable? implications of interchange between big data and big data Friday, 20 April 2018 - 13h 15 - 14h 45 analytics and the role of tacit knowledge. Specifically, Symposium developing a narrative through the interconnection between AP 4 Austin Pearce Lecture Theatre corporate entrepreneurship and organizational learning Annabelle Gawer, University of Surrey literatures, the authors argue that firms led by executives who FRIDAY Michael G. Jacobides, London Business School embrace an entrepreneurial mindset, characterized by Shahzad (Shaz) Ansari, Judge Business School opportunity recognition, value creation, and strategic renewal, Teppo Felin, Said Business School, University of Oxford have and will outperform in the digital economy by employing Ola Henfridsson, Warwick Business School, U. of Warwick both exploitation and exploration activities. Carolyn Axtell, Sheffield University Strategic Governance for Industry Ecosystem Growth Digital platform firms such as Amazon, Facebook, Google, and Jeffrey Pittaway, University College London Uber are an increasingly pervasive organizational form in the Erkko Autio, Imperial College London digital economy, and are actively disrupting industries. The David Rejeski, Woodrow Wilson International Center for Scholars increasing perception of platforms unchecked dominance is attracting the attention of scholars and regulators. This
Page | 71 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
Symposium brings together a panel of distinguished experts illustration refers to the prediction of tourism demand while the from distinct disciplines (strategy, innovation, information second related to the prediction of prices in the hotel industry. systems) to shed light on the following questions: (1) Do digital In Search of a Language of Causality in the Age of Big Data for platforms fuelled by network effects always lead to winner- Management Practices take-all outcomes? (2) To which extent can ecosystem dominance by digital platform leaders be moderated by Maggie Cheng, McMaster University external market forces, or by platform leaders attempt to self- Rick Hackett, McMaster University regulate? (3) What kinds of governance mechanisms will allow Chenxin (Robin) Li, McMaster University societies to benefit from the innovations that digital platforms This review asserts the importance of revitalizing a language of generate while curbing their potential abuse of dominance? causality in management and organization studies. The unprecedented availability of Big Data gives rise to a myriad of statistical models, while the absence of such language has Management Issues for Working with Big Data compromised a logical interpretation of such models. We argue Friday, 20 April 2018 - 13h 15 - 14h 45 that the convenience of Big Data has exacerbated the Paper Session consequences of such oversight, raising theoretical, ethical, 34MS01 Business Insights Lab legal, and practical concerns. We suggest that incorporating causality into the standard of statistical modeling can alleviate These papers relate to and discuss the managerial challenges such concerns in research and provide guidelines for applying and potential arising from working with Big Data and digital analytics in management practices. organizations.
Toward a Bidirectional View of Causality in Big Data Analytics: The Case of Learning Analytics Status and Identity in the Digital Workplace Marta Stelmaszak, London School of Economics Friday, 20 April 2018 - 13h 15 - 14h 45 Aleksi Aaltonen Paper Session 33MS03 Classroom Currently most of the managerial literature on big data analytics assumes a straightforward, unidirectional relationship Digitization has affected perceptions of status and identity in between data and phenomena they describe. Drawing from the workplace. The papers in this session explore these critical perspectives on big data, this paper posits that a concepts from multiple perspectives. bidirectional view of causality in big data analytics is needed. Status Changes Across Groups: A Sociometric Measurement of Relying on the theory of reactivity by Espeland and Sauder, the its Impact on Behavior authors designed a mixed-methods case study involving both interviewing and a computational analysis of a big data set to Catarina Fernandes, Harvard Business School lay bare the mechanisms at play behind the intended and This project contributes to the emerging work on the dynamic unintended consequences in a learning analytics system nature of status by exploring how individuals experience gains deployed at a major UK business school. The authors argue that or losses in relative status as they move between groups where such a fuller view of causality in big data analytics sheds light on they enjoy different status levels. I advance two pairs of digital organising and managing in digital organisations. competing hypotheses, suggesting that gaining/losing status Revenue Management in a Context of Big Data: From a may lead to anchoring at their previous status level, or Predictive to a Prescriptive Analytic Approach overshooting the extent to which their status actually changed. I test these hypotheses in a laboratory experiment of status Abel Lucena, University of the Balearic Islands changes between groups, where participants wear Sociometric Maria Santana-Gallego, University of the Balearic Islands badges, a big data measuring device that tracks airtime, FRIDAY This project analyzes the impact that the big data is having on interruptions, and status-related measures. Most of the existing the way service companies make demand-management research relies on self-reports of intentions or peer decisions. It highlights that the use of big data allows service assessments, so this presents a particularly promising companies to change their revenue management from a opportunity to capture more objective and unbiased measures predictive to a prescriptive analytic perspective. This involves of status behavior. not only predicting future patterns on markets, products and Navigating Identities in Online Labor Markets prices, but also using the knowledge generated from those predictions to define strategies that facilitate adaptation to Francesca Bellesia, University of Bologna context changes. In doing so, service companies can build Digitization constrains individuals and organizations to use competitive advantages via prescriptive analytic. The paper technologies in a more extensive way. In this domain, how discusses two illustrations that suggest how a prescriptive technology influences the way work is structured and delivered analytic approach helps create better strategies. The first is increasingly relevant. Purpose of this paper is advancing our
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 72 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ knowledge on digital labor and the dynamics experienced by successful OS project with employee and volunteer gig workers, who deals with uncertain conditions in a digital contributors. domain. In particular, this research is meant to investigate the Transaction Cost Economics in the Digital Economy: A Research process of identity construction as it occurs thanks to the use of Agenda technologies in liminal states. Data collection is on-going and is based primarily on semi-structured interviews with active Frank Nagle, University of Southern California participants on online labor markets. Expected contributions Rob Seamans, New York University locate in the literature on the relation between identity Steve Tadelis, University of California Berkeley construction processes and technology, as well as in the We propose to use the Transaction Cost Economics (TCE) emergent literature on digital labor dynamics. framework to develop a better understanding about the nature Class-Consciousness in the Sharing Economy of organizations in the digital economy. We identify areas that require more research to lead to deeper understanding. We Christoph Lutz, BI Norwegian Business School focus particular attention on the issues of reputation, privacy, Gemma Newlands, BI Norwegian Business School and non-pecuniary transactions. Christian Fieseler, BI Norwegian Business School Designing a Market: the Technological Underpinnings of Non- The professed ethos of collaboration among the sharing spontaneous Orders economy does not extend to the provider base, who largely offer their services in a distributed and disconnected fashion. Cristina Alaimo, Surrey Business School Sharing platforms, which mediate between users, neither Ioanna Constantiou, Copenhagen Business School enable nor encourage interaction between providers, restricting Jannis Kallinikos, London School of Economics a sense of provider class-consciousness and the fundamental In this paper, we describe digital platforms as instances of first steps towards collective action. Providers, separated both market design. Despite the critical role of digital technologies in through platform narratives and architectures, nevertheless do transforming markets and organizations, they are still viewed as variably take part in collective action, such as online means of improving organizational capabilities and reducing communication and even attempted unions. In this study, we market frictions, thus increasing efficiency. Our approach addressed the topic of collective action and class- complements existing studies by taking into account the consciousness among the heterogeneous provider base of the underlying data processes and the technologies by which digital sharing economy, using a cluster analysis to determine four platforms are supported and extends more recent theory that distinct clusters: Self-Oriented Pragmatists, Collective Action seeks to understand markets as designed artefacts. Specifically, Enthusiasts, Modern Collectivists, and Collective Action we focus on how the dynamic personalization of pricing and Opponents. services enables digital platforms to design and operate as a new kind of digital marketplace. Digital Contracting Strategy through Big Data Friday, 20 April 2018 - 13h 15 - 14h 45 Friday, 20 April 2018 - 13h 15 - 14h 45 Paper Session Paper Session AP 1 Austin Pearce Lecture Theatre 75MS02 Classroom Transactions and contracts in digital industries. How companies can use big data to enact strategy. Psychological Contracts in the Digitized Economy: Developing Institutional Logics in the Digital Marketplace: A Cross-Country Theory through the Analysis of Open Source Participants Study Almudena Cañibano, ESCP Europe Pengxiang Zhang, University of South Carolina Daniel Curto-Millet, Spanish National Research Council Liang Chen, University of Sussex Noman Shaheer, University of South Carolina This proposal seeks to develop the psychological contract as a Sali Li, University of South Carolina theoretical framework from which to study emergent work FRIDAY relationships in the digitized economy. To do so, it relies on Despite the prevalence of free strategies in the digital economy, open source (OS) as an exemplar of digitized work, empirical evidence of its efficacy is lacking. We propose that the characterized by work conducted outside of the boundaries of relationship between free strategies and performance is traditional employment relationships. We propose that OS negative due to the winner-take-all market structure and sales participants hold concurrent psychological contracts with three cannibalization. To explore boundary conditions of this actors (the project, the community and the firm). We argue that relationship, we extend institutional theory from the physical these psychological contracts interact but have different world to the virtual space, and focus on consumers institutional contents and their breach entails diverse outcomes. These logics of digital consumptions. Using a proprietary dataset on propositions are to be explored in the context of LibreOffice, a mobile apps spanning 50 countries and cross-classified
Page | 73 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
multilevel analysis, we find that, on average, free strategies of R&D expenditure. Drawing upon psychology, managerial generate less revenue than paid strategies. This negative cognition, and performance feedback literature, we argue that relationship is weakened in countries where consumers have a while past focus weakens the performance feedback effects on more pronounced free mentality for digital content, and where R&D search, present and future focus have the opposite effects. online engagement tendency is stronger. To measure temporal focus of managers, we gathered Managements Discussion and Analysis of Financial Condition Strategizing Digitalization Ȕ How Technology-induced Tensions and Results of Operation (MD&A) texts, which can help are Negotiated in Public Discourse researchers employ content analysis in a larger scale. The Verena Bader, Bundeswehr University Munich results showed supports for our arguments. Georg Loscher, Bundeswehr University Munich
Stephan Kaiser, Bundeswehr University Munich Public discourse about digitalization frequently is paradoxical: Platforms, Policy Interventions, and Social on the one hand side, employees enjoy increasing participation, Welfare information access, and decision authority. On the other hand, Friday, 20 April 2018 - 13h 15 - 14h 45 they struggle with higher surveillance and control. Although Paper Session research has been devoted to assessing either of the 81MS02 Classroom phenomena on the firm level, little scholarly effort has been made to analyze the role of collective level employment This sessions discusses the role of institutional context and relations and technology acceptance. Using critical discourse policy interventions in platform industries to foster and network analysis as a methodological approach, we sustainability and social welfare. analyze how tensions of the digital working life are publicly How the Sharing Economy Contributes to the Erosion of Implicit negotiated and how they are incorporated in the work of CSR: Future Pathways of the Welfare State strategists in the field of industrial relations. Our research contributes to discussions on strategizing in the digital Mario D. Schultz, Universit della Svizzera italiana economy, the role of narratives for technology acceptance, and Peter Seele, Universit della Svizzera italiana handling paradoxes. Interpretations and practices of Corporate Social Responsibility The More Cheerful the Better? The Roles of Emotional Valence (CSR) can differ substantially worldwide. Matten and Moons and Variability in Attracting Crowdfunding (2008) framework of explicit/implicit CSR explains these cross- national differences, applying comparative capitalism and Lin Jiang, University of Missouri institutional isomorphism theory. Since the introduction of their Dezhi Yin, University of Missouri framework, major changes in global business gave rise to Dong Liu, Georgia Institute of Technology innovative forms of digital-exchange, facilitated by a new player As part of the recent interest in crowdfunding, studies have - the sharing economy platform (SEP). SEPs are chic and rapidly investigated what makes some projects receive more expanding, thereby challenging incumbents, regulatory bodies, crowdfunding. We extend this literature by using an algorithmic and broader institutional structures. Given the unfolding analysis of project videos, an important but understudied platform era, Matten and Moons framework seems to be dated, source of information, to address the question of how demanding an updated platform-edition. We outline how SEPs emotional valence and variability of valence jointly influence a are shaping institutional contexts, thereby triggering an erosion projects popularity (i.e., funding support received from of persisting explicit/implicit CSR and the welfare state. crowdfunding investors). Drawing on the literature on emotion Consequently, this study considers possible future pathways, dynamics, we posit that emotional valence has an inverted U- discussing regulation/self-regulation and voluntary/mandatory shape effect on a projects popularity. Moreover, we hypothesize CSR approaches.
that the inverted U-shape is steeper if the emotional valence Digital Platforms in Health Care: Practices of Strategic Platform FRIDAY fluctuates more during a project video. Our analysis based on Leadership in a Regulated Environment emotion data from over 10 million video frames across 1,810 Kickstarter project videos supports our hypotheses. Daniel Furstenau, Freie Universitt Berlin Carolin Auschra, Freie Universitt Berlin Effects of Performance Feedback and Managements Temporal Martin Gersch Focus on R&D Expenditure Stefan Klein Jiho Yang, Yonsei University School of Business Platforms lend new impetus to the digital transformation of the Kurt Schmitz, Georgia State University health care market as an example for a strongly regulated This paper introduces a less-studied but important managerial industry. We aim to analyze this trend with its specific health cognitive trait, temporal focus, into the performance feedback care-related characteristics. Two fledgling platforms, one in the model to examine whether top managers attentional focus on U.S. and one in Germany, are analyzed as instances of the past, present, or future information affects problemistic search evolution of digital platforms in health care. We do a cross-
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 74 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ country, qualitative case comparison. We use the platform performative power of rhetorical engagements and its capacity leadership model by Gawer and Cusumano (2014) to to promote organizational commitment. reconstruct strategic choices and reflect on the scaling of the Open Strategy Meetings in Practice: Insights from the Pirate platforms as an indication of successful management and Party Germany increasing impact on the health care industry. We find distinct strategic responses to the regulatory environments and Leopold Ringel, Bielefeld University national health care regimes. Georg Reischauer Regulation and Fairness in the Sharing Economy Extant research on practices to maneuver strategy meetings has mainly examined strategy meetings that are closed, i.e. Gemma Newlands, BI Norwegian Business School exclusive and non-transparent. But how are managers Christoph Lutz, BI Norwegian Business School maneuvering strategy meetings that are open, i.e. inclusive and Christian Fieseler, BI Norwegian Business School transparent? We address this question with an in-depth Sharing economy platforms frame a dichotomy between qualitative study of the Pirate Party Germany, a political innovation and regulation. Current discussions surrounding the organization that openly broadcasts their strategy meetings. We merits and desirability of regulatory oversight, among policy identified that managers use three practices that all aim at makers, academics, and platform advocates, are nevertheless reducing openness: rerouting the time and place of actions, conducted in a top-down fashion on both sides. What is often reclassifying the ground of actions, and recalling the monitoring left out is the user perspective. We suggest that one of the most of actions. With these findings, we contribute to a better fun-damental shapers of a users perspective on regulation is understanding of the role of openness for strategizing in a their own experiences of the sharing economy. A key factor in digital world and organizing in a digital age more broadly. user experience is perceived fairness. In this contribution, we Digitalization and Opening up the Strategy Making Process - A inves-tigate how the perceived fairness of a platform can impact Longitudinal Study of Ericsson AB regulatory desirability among users, based on a survey in 12 European countries. We find that procedural fairness has a Anna Plotnikova positive effect on the desire for regulation, while interactional Advancement in digital technologies creates great uncertainty fairness has a negative one. for businesses and requires more strategic flexibility. At the same time digitalization creates new opportunities for strategy making processes as more open and inclusive. However, the Strategy Development and Implementation in literature lacks empirical evidence on how open strategy is Digital Organizations realized within organizations. This longitudinal case study Friday, 20 April 2018 - 1Ǿh 00 - 16h 30 based on online open strategy community in large Paper Session telecommunication organization (Ericsson) aims to address this 81MS02 Classroom gap by looking into development of open strategy community over time, and identifying patterns of participation and These papers deal with how strategies are developed and contribution in open strategy. This article discusses what are implemented in a digital setting. the implications of opening strategy discussions to the broader When Digital Becomes the Grand Vision: Digitalization through group of actors and how open strategy community is Accommodative Engagements coordinated. Itziar Castello, Universidad Carlos III Prestige Preservation as a Challenge for Digital Strategy: the Michael Etter, Cass Business School Case of Networked Fashion Brands in Brazil Peter Winkler, FH Wien Gabriela Antibas We examine the implementation of a new digital strategy at the Charles Kirschbaum, Insper Institute of Education and Res head-quarter of a multinational corporation. We analyze the We analyze the online customer network among 103 fashion contradictions between aspirational grand visions and local brands in Brazil, in order to understand the relationship
FRIDAY agendas which are reinforced in digital environments. We show between prestige (i.e. Fashion Week participation) and network how these contradictions are partially transcended through centrality (Bonacich power). An implicit brand-brand network accommodative engagements. Accommodative engagements was built, based on the users comments on the brands work through the mechanisms of situated exploration, Facebook pages. We found a negative association between invitational rhetoric and translation as well as the negotiation prestige and centrality, which suggests that: (1) high prestige of joint accounts. We extend to the literature of organizing brands occupy highly differentiated niches, and (2) prestige digitalization by first providing a communicative view on brands are cautious in engaging with online activity, in order to strategic processes and its paradoxes. Through this view, we protect their status. We conclude on a discussion on how online describe some rhetoric mechanisms that allow to transcend network analysis might help Chief Digital Officers in monitoring paradoxical situations in strategy making. We show the and influencing the brands online centrality.
Page | 75 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
student applicants seeking behavior and employer decision on an internet internship search website. Using two-sided data Acquiring and Developing Talent in a Big Data Era from shixiseng.com, we explored signaling and screening Friday, 20 April 2018 - 13h 15 - 14h 45 mechanisms for internship employment. Our results suggest Paper Session that student applicants degree, college background, gender, 33MS01 Business Insights Lab leadership activities and volunteering experience insignificantly affect employer decision. Employers take GPA, national Three empirical studies on the use of big data in organizational scholarship certification, prior internship experience and recruiting and selection practices. applicants job preference as strong signals. Overall, employers Playful Self Versus Self-Report Self One of a Kind or Worlds who provide more online information and company Apart? characteristic attract quicker application response and more internship candidates. Applicant competition and matching Boas Bamberger outcome are affected differently by occupations and industries. Myriam Bechtoldt, EBS University Active internship seekers have better chance to secure offer. As digital traces and freely available online data increase transparency about job candidates attributes, companies may include unprecedented amounts of data into their personnel Big Data and Management selection decisions. Besides the evaluation of social media Friday, 20 April 2018 - 13h 15 - 14h 45 profiles, video games in particular have recently gained Paper Session trajectory as a promising alternative to personality self-report 72MS03 Classroom measures in job candidate assessment. Our study with overall 1,106 players of League of Legends analyzes convergent validity How big data can be used to improve management of of players risk-taking behavior with established self-report employees. measures and behavioral tests of risk propensity. Controlling for Detecting Sleep Deprivation through Twitter: A Language Based age, gender and individual performance we found weak Study (WITHDRAWN) associations of within-game risk-taking with self-report measures of risk propensity and no correlations with behavioral Margaret Kern, The University of Melbourne tests. The results suggest that behavioral data from a Gavin Slemp, The University of Melbourne commercial video game do not substitute for established tests Alistair Walsh, The University of Melbourne of risk-taking. Regular sleep habits contribute to employee wellbeing, health, Impact of Hiring Algorithms on Candidate Perceptions and productivity, with poor quality and short sleep duration linked to numerous undesirable outcomes for employees and Jayanth Narayanan, International Institute of Management their organizations. It may be possible to use social media data Development (IMD) to unobtrusively monitor sleep patterns, allowing risky patterns Maude Lavanchy, International Institute of Management to be identified and enabling early intervention. Further, the Development (IMD) social media language itself may provide insights into why risky Krishna Savani, Nanyang Business School, NTU patterns occur, informing more effective social media The use of algorithms to make hiring decisions have been on the governance in organizations. Using a random sample of Twitter rise. There has been little empirical work to understand how users, we identify five sleep patterns, and examine the language potential candidates view the use of these algorithms. In three that characterizes each group, using top down (lexica based) studies on Amazon Mechanical Turk, we show that people have and bottom up (data driven) approaches. In this paper an aversion to the use of algorithms in hiring. This effect persists proposal, we present our rationale, briefly summarize our regardless of whether the outcome is favorable to them or not. approach and preliminary results, and consider some potential We find that the belief that algorithms will not be able to see implications. FRIDAY FRIDAY how unique they are as a candidate leads to this aversion. The Big Data of Social Dynamics at Work: A Technology-based Although the use of algorithms may have benefits for Application organizations such removal of bias, our results highlight the potential costs of using them. Florian Klonek, The University of Western Australia Georgia Hay, The University of Western Australia From School to Job: Searching and Matching on an Online Sharon Parker, The University of Western Australia Internship Website Organisational behaviour entails the study of team and Ting Ren, Peking University HSBC Business School individual dynamic activities within an organisation. As dynamic Xingguo Yu, Peking University HSBC Business School activities can quickly unfold over time when they occur between Online job search raises the level of information possession and individuals, they present a big data challenge for organisational builds new channels in labor market. We studied college researchers. Furthermore, there is a lack of technologically advanced field-based research methods to capture behavioral
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 76 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ dynamics and provide immediate feedback to organisational Crowdsourcing Platforms stakeholders. The present research project seeks to advance Friday, 20 April 2018 - 13h 15 - 14h 45 research on emergent social processes by introducing a Paper Session technological application that allows behavioural measurement AP 3 Austin Pearce Lecture Theatre of social dynamics in the workplace. We provide an illustrative research example of the application with respect to leadership This session presents new findings on the successful design of ambidexterity. We discuss how a social dynamic measuring crowdsourcing and crowdfunding platforms. application can improve organisational process research as well as the translation of research for practitioners. Are We Missing the Platforms for the Crowd? Insights from a Variance Decomposition Analysis Across Multiple Crowdfunding The Words-as-data Paradigm: The Promise of Computational Platforms Linguistics to Study Social Dynamics in Self-managing Teams Gary Dushnitsky, London Business School Florian Klonek, The University of Western Australia Markus Fitza, Frankfurt School of Finance & Management Laura Fruhen Sharon Parker, The University of Western Australia Crowdfunding platforms have attracted the attention of practitioners and scholars alike. The term crowdfunding, first When we talk or write, we implicitly reveal more about coined in the early 2000s, describes a new institutional form in ourselves than we realise. Language and use of particular words the financial markets which utilizes online platforms to can be strong proxies for current emotions, our motivations, originate and aggregate funding. There are hundreds of active and even our personality. Due to the development of powerful crowdfunding platforms across the globe. Yet, the majority of computational programs that allow to quantify word usage and scholarly understanding is based on analysis of funding linguistic markers, organisational researchers have increasingly patterns from a single platform. Hence, we know little whether better means available to obtain implicit measures of socio- the factors associated with funding success in one platform do psychological mechanisms. This working paper discusses the indeed replicable to other platforms. To address this question, methodological possibilities and advantages offered by we conduct a variance decomposition analysis of fundraising analysing big data in terms of written artefacts that unfold success across eight major platforms. Our findings complement within teams. We focus on power and control dynamics in self- single-platform studies by informing generalizability across organising teams to illustrate the potential of computer-aided platforms. text analytics for advancing our understanding of socio- psychological processes in teams. Learning from Experience vs. Learning from Others: Evidence from Crowdsourcing Contests Using Text Analytics to Identify Coaching and Development in Performance Appraisal Yi Chen Wai Fong Boh, Nanyang Technological University George S. Benson, University of Texas At Arlington Jiahui Mo, Nanyang Technological University Tushar Shah, University of Texas At Arlington Sridhar Nerur, University of Texas At Arlington We examine how individuals participating in crowdfunding platforms (solvers) learn in the online labor marketplace This paper demonstrates how big data text analytics techniques represented by crowdfunding platforms. With rich data can be applied to interpret performance feedback by comparing collected from a crowdsourcing platform, Kaggle, our study text data from manager performance appraisal comments with demonstrates that participating in prior contests (learning-by- employee survey data on perceptions of feedback. First, we doing) improves solvers performance. Further, we show that detail how text analytics can be applied to better understand participating in contest-specific forums (learning-from-others) performance appraisal using state-of-the-art tools, including builds specific skills that improves solvers performance in the Python, MALLET and R, and Linguistic Inquiry and Word Count same contest. Participating in many prior contest-specific (LIWC). Second, we contribute to the research literature on forums, on the other hand, does not build general skills, but performance appraisal by empirically testing words and leads to potential inappropriate applications of knowledge that phrases that employees associate with coaching and hurts solvers performance. Furthermore, we find that learning- developmental feedback. Implications for text analysis of big by-doing substitutes learning-from-others in affecting solvers FRIDAY data in performance and talent management are discussed. We performance: more experienced solvers benefit less from believe that this topic fits into the Track 3 of the conference due participating in contest-specific forums, and are less impaired to its focus on managing people and their work performance. from participating in prior contest-specific forums. Managing a Ménage á Trois: How Digital Intermediaries Organize a Market for Creative Ideas Thomas Gegenhuber, JKU Linz Rob Seamans, New York University
Page | 77 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
Digital intermediaries typically connect organizations seeking Arvind Karunakaran, MIT Sloan solutions for a problem with a crowd willing to solve it. We ask Matthew Jones how crowdsourcing intermediaries organize a market for Lynn Marcus, Bentley University creative ideas. The dataset for our empirical study is a 13-month Almost all work nowadays is inevitably influenced by the ethnographic work at a digital intermediary. We deploy holistic algorithmic and other data-driven technologies and moves organizing approach, treating the market organizing process as towards what we term digital work. While the drastic changes in a socio-material assemblage, consisting of actors in different the work landscape are highly debated in popular press, social world (intermediary, crowd, client companies), meta- existing social science scholarship has not yet provided a solid narratives (i.e., narratives intermediary uses towards crowds theoretical understanding of the fundamental nature of these and clients to motivate participation and define their roles), changes. Our symposium will bring together the insights from situated practices (i.e., intermediary's organizing activities nascent empirical scholarship on how digital data and during the intermediation process), and artefacts (i.e., material algorithmic technologies are used and with what consequences features directing actor's actions on the platform). We aim to for work practices. identify the underlying mechanisms of the intermediaries organizing efforts, thereby contributing to the crowdsourcing literature. Theoretical Understanding of Digital Organizations and Big Data Redefining Digital Engagements to Create Social Friday, 20 April 2018 - 15h 00 - 16h 30 Value Paper Session Friday, 20 April 2018 - 13h 15 - 14h 45 33MS01 Business Insights Lab Symposium These papers are conceptual and forward thinking about digital 39MS02 Classroom organizations and big data. Itziar Castello, Universidad Carlos III The Implications of Big Data and Data-Science for Management Carla Bonina, Surrey Business School Theory-Building and Testing Cristina Alaimo, Surrey Business School Alan Brown, University of Surrey Omar Malik, Heidelberg University Ben Eaton Emergence of big data and associated analytical technologies Roger Maull has reshaped business decision-making. These trends are now David Plans impacting the progress of the social sciences. I examine the In contemporary organizations digital engagements are implications of these developments in availability and use of ubiquitous, and data-driven forms of engagements are data for theory-building and testing in the management increasingly involving monitoring, automating organization sciences. Using Dubins classic framework for theory-building, I processes but also better understanding social needs. show how each key theory-building activity can be enhanced by Information systems create hyper-real representations of the using a data-driven model of theory-development. I identify stakeholders and organization processes. They transform the three specific areas in which data-science can enhance the relations between the stakeholders and, as a result, the current model of theory-building and testing in management organizational forms and its outcomes. In this symposium, we research: Identifying new relationships, increasing are interested in how these digital engagements can create new generalizability of theoretical models, and adding predictive forms of social value, we ask two questions: First, how accuracy of theories as an additional criterion for quality of digitalization is transforming organizations and its stakeholder theories. Finally, I also discuss how use of data-science in engagements? Second, how the digital engagements can management research can lead to greater reproducability. FRIDAY FRIDAY increase the social impact of organizations? How Search has Become the Watchword of the Digital Organisation Digital Work: How Big Data and Algorithms Najmeh Hafezieh Neil Pollock, The U. of Edinburgh Business School Change Work Practices Friday, 20 April 2018 - 13h 15 - 14h 45 Scholars argue, as digital technologies are proliferating, that we Symposium are witnessing a shift in the nature of technologies and their 32MS03 Classroom effects on organisations. In this paper, we aim to explore some aspects of this shift by focusing specifically on digital marketing Anastasia Sergeeva, Vrije Universiteit Amsterdam technologies. Drawing on a case study of one exemplary digital Marleen Huysman, Vrije Universiteit Amsterdam organisation, we propose that digital technologies appear to be Stella Pachidi, University of Cambridge heralding in a new search paradigm. We characterise the new Sue Newell, Sussex University
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 78 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ search paradigm through noting some of its characteristics and Despite interest in information technology and management consequences for organisations. research in digital transformation, we have very limited insights into how organizations cope with digital transformation. By Theorization of Institutional Change in the Emergence of referring to the literature on upper echelons and on Disruptive Technology: Big 4 Accounting Firms and AI Audit metastructuring, our study shows that firms with older top Masashi Goto, Keio University management are less successful in digital transformation compared to firms with younger top management. Our results This study aims to explore how theorization of institutional further indicate that institutionalizing digitalization agents can change occurs in the context of the emergence of disruptive level the negative effects of the top managements age. technology as a precipitating jolt. I conducted a case study of However, firms should be aware that miscasting digitalization two Big 4 accounting firms in Japan on their initiatives to apply agents can decrease a firms digital innovativeness. We test our artificial intelligence (AI) to their core audit services, since 2016. hypothesized model using a sample of 257 firms operating in The process was comprised of (a) the one-way and rapid the global manufacturing industry. problem identification and (b) the exploratory identification and justification of the technical aspects of the new form, which Organizing Professional Service Firms for Digitalization are distinct from findings of the existing literature which Frida Pemer, Stockholm School of Economics highlights (a) the long-term iterative problem endorsement and Sylvain Mbongui, University of Versailles (b) the justification by the logic of profession. Based on the Love Börjeson, Stanford University data, implications for institutional theory in the age of Andreas Werr, Stockholm School of Economics disruptive technology are discussed. This paper explores how professional service firms seek to take Old Wine in New Bottles? A Systematic Review of the Literature advantage of and adapt to new technology related to on Digital Transformation digitalization, robotization and AI. Building on an interview Ren Bohnsack study with professionals in different types of professional Andre Hanelt, University of Goettingen service firms, and a theoretical framework on institutional David Marz, University of Goettingen complexity and work, we identify what strategies professionals Claudia Antunes, Catolica Lisbon School of Business & use to maintain their status as experts and trusted advisors, and Economics how they change their work processes and organizations to accommodate the new technologies. Digital Transformation (DT) has become a crucial topic for organizations, industries and societies. Consequently, research Managing Digital Transformation: The Merits of Formalization and practitioner-oriented literature alike started a discourse Robin Pesch, University of Bayreuth revolving around the concept of DT. While existing literature on Herbert Endres, University of Regensburg this topic covers diverse contexts and levels of analysis, it is still Ricarda B. Bouncken, University of Bayreuth quite unclear what exactly is meant by this phenomenon. Therefore, we conducted a systematic analysis to offer a Despite interest of research in digital transformation, we have comprehensive multidimensional framework of DT to build an very limited insights into how to manage a firms digital understanding of the phenomenon and to guide future work. transformation. By relating to the sensemaking perspective of Following great role models in management research, we formalization, our study elaborates under which conditions identified and analyzed 200 articles, which built the foundation formalizing digitalization actions have beneficial effects on for our proposed multidimensional framework. In this paper digital breakthrough innovations and digital business proposal, we will present our current work and propose future performance. Our core assumption is that formalization can research suggestions. support managers to cope with digital transformation ambiguities. We consider the level of digitalized processes, firm age, and firm size as crucial contextual factors. To test our Managing the Digital Organization hypothesis, we draw on a sample of 412 firms operating in the Friday, 20 April 2018 - 15h 00 - 16h 30 global manufacturing industry.
FRIDAY Paper Session AP 2 Austin Pearce Lecture Theatre
Papers in this session takes a practical look at how to manage digital organizations. How Top Managements Age Influences a Firms Digital Transformation Robin Pesch, University of Bayreuth Ricarda Bouncken, University of Bayreuth
Page | 79 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
Algorithmic Platform Strategies potential and uncertainty surrounding the ability of Friday, 20 April 2018 - 15h 00 - 16h 30 corporations to leverage cognitive analytics grows as Paper Session exponentially as the stores of digitized information being generated. This study explores the phenomenon of big data for AP 4 Austin Pearce Lecture Theatre corporate entrepreneurship through 2.5 years of qualitative This session presents new insights into the role of platform research. We build a case study on the relationship between two analytics, and in particular "cognitive analytics" for algorithmic exemplar companies using a grounded theory approach. We platform strategies to orchestrate platform participants. then discuss the implications for theories of innovation and corporate entrepreneurship, with insights on the evolving role A Framework for Demand Forecasting in a Supply Chain using of innovation intermediaries aiming to help companies develop Social Media Big Data and capitalize on big data platforms. Rehan Iftikhar, University of Exeter Mobile Apps for Workplace Charging: A Big Data Field Mohammad Saud Khan, Victoria University of Wellington Experiment in Electric Vehicles Social Media big data offers the insights which can be used to Omar Isaac Asensio, Georgia Institute of Technology make predictions of products future demand and add value to Sarah E Walsh, Georgia Institute of Technology the supply chain performance. The paper presents a framework for improvement of demand forecasting in the supply chain The availability of real-time pricing with charge station locator industry using social media analytics. The proposed framework apps has opened new possibilities to study digital platform uses sentiment, trend and word analysis results from social innovation in the fast growing plug-in electric vehicles (PEV) media big data in an extended Bass Emotion Model along with market. Here we present results of a large-scale workplace historical sales data to predict product demand. The forecasting charging field experiment with a major U.S. automaker. We use framework is being applied in a case study to validate the regression discontinuity to analyze the effectiveness of framework that would assist in improving demand forecasting nonlinear price schedules for PEV charging via a mobile app in a supply chain. called Plugshare. Our dataset includes 51M charge station transaction records at 111 stations in corporate offices and The Emergence of Data-based Ecosystems: The Case of manufacturing locations from 2014-2015. We test theoretical Programmatic Advertising predictions about price setting in digital platforms and use Cristina Alaimo, Surrey Business School market evidence to evaluate whether managers have an Annabelle Gawer, University of Surrey incentive to invest in digital infrastructure, even when charging Cosima Sessa-Sforza, London School of Economics services are offered for free or at a nominal cost to employees. Platform-based ecosystems have recently attracted considerable scholarly attention. This research aims to understand the extent to which big data contributes to the Digital Government emergence of specific types of ecosystem. Our empirical setting Friday, 20 April 2018 - 15h 00 - 16h 30 is programmatic advertising, a large scale distributed platform Paper Session ecosystem based on the real-time automated method of buying 72MS03 Classroom and selling advertisements. We focus on identifying the The role of governments and municipalities in orchestrating the processes of ecosystem emergence. Our initial evidence digital economy. suggests that technological and organizational protocols and the highly-standardized language sustaining real-time bidding Orchestration of an Ecosystem of Digital Innovation in Public play an important role in shaping ecosystem emergence and Sectors configuration. As we continue to analyse this case, we aim to Andrea Pistorio, Politecnico di Milano - Dipartimento di investigate the set of focal firms strategic responses, and assess FRIDAY Ingegneria Gestionale the extent to which using and creating big data offers distinct Luca Gastaldi, Politecnico di Milano - Dipartimento di Ingegneria modes of value creation than non-big-data business models. Gestionale Building an Innovation Pipeline on a Big Data Platform: The Mariano Corso, Politecnico di Milano - Dipartimento di Case of a Corporate Entrepreneurship Intermediary Ingegneria Gestionale Russell Browder, Baylor University The concepts of innovation and business ecosystem are Anna Long, Baylor University common both for academics and practitioners, but rarely the James Hernandez, Baylor University perspective of policymakers is taken into account. This study Hope Koch, Baylor University describes how a governmental organisation was able to become the hub of an ecosystem of digital innovations in Large corporations act entrepreneurially to search for new healthcare settings. The longitudinal research mixes a co- opportunities, adjust to market changes, or reinvent strategies authorship network analysis with the study of the policy mix in pursuit of competitive advantages. In the age of big data, the
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 80 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ that the region adopted over time. Results highlight the During the 20th century, the large managerial corporation relevance of platforms and the selection of standards as key became the dominant economic institution of capitalism elements for the success of ecosystem creation and (Chandler, 1977). However, the current development of peer to orchestration. Furthermore, they highlight the need to adopt peer platforms entails major economic, organizational and policy instruments targeting processes characterised by social transformations (Evans & Gawer, 2016; Sundararajan, increasing complexity. 2016). While these platforms are often depicted as new organizational innovations born of the digital world, we develop The Governance of Third Party Innovation in Open Government an alternative analysis rooted in organizational theory and Data Platforms: Evidence from Buenos Aires, Mexico City and history. The central argument is that the emergence of platform Montevideo capitalism should be understood as a digital reincarnation of Carla Bonina, Surrey Business School the putting-out system (Hounsell, 1984), a pre-industrial Ben Eaton organizational form that preceded the emergence of manufacturing and the managerial corporation. Implications of Open government data initiatives are an emergent platform this analysis are discussed in terms of management of labor, research topic. There is little understanding how these financialization, and platforms accountability. platforms are governed for service innovation, where the cultivation of an installed base of heterogeneous innovators is thought of as important for success. Open government data platforms differ from commercial platforms, as they enable a common good and provide data rather than functionality. We present research in progress that investigates how third party Bonding by Rejecting: Organizations Feedback to service innovation is cultivated in this alternative setting. We Crowdsourced Ideas employ a comparative case study of open government data platforms in three Latin American cities, and draw upon the Henning Piezunka, INSEAD theory of boundary resources. Our initial findings and expected Linus Dahlander, European School of Management and contributions extend the theoretical understanding of platform Technology innovation governance and have implications on government Organizations crowdsource ideas from individuals. Individuals policy concerning open data initiatives. whose ideas are not selected for implementation often stop to The Planning of Smart City Initiatives interact with the organization and submit not further ideas. We hypothesize that organizations can motivate newcomers to Ali Bayat, Alliance Manchester Business School submit further ideas by providing a so far understudied form of Peter Kawalek, Loughborough University feedback: rejections. We draw on theories of interaction rituals This research attempts to synthesise the existing academic and matching to develop theory how rejections foster a bond debates and evidence from the implementation of smart city between individuals and organizations. To test our theory we initiatives around a more coherent framework. The framework examine the crowdsourcing of 70,196 organizations who receive emphasises the role of urban context, urban vision, big data ideas from 962,570 individuals. We make use of difference in technologies, data governance strategies on the successful how rejections are written to disentangle the mechanisms how planning of smart city initiatives. The framework will provides a rejections affect individuals willingness to continue to interact mean for comparing cities that have already taken steps toward with the organization. We discuss the implications for research planning their smart city initiatives and puts forward a guideline on idea crowdsourcing, social bonding, and creative processes. for the ones that are at the starting stage of the process. Managing Conflict between Crowdsourcing and Traditional Work: The Antecedents and Effectiveness of Medical Professionals Time Use in Gig Economy (WITHDRAWN) Digital Work Platforms and New Employment Relationships Lan Wang Friday, 20 April 2018 - 15h 00 - 16h 30 Using four sequential studies with qualitative and quantitative
FRIDAY Paper Session data and contributing to literature on crowdsourcing and career AP 1 Austin Pearce Lecture Theatre boundary management, I tested antecedents and effectiveness of medical professionals time use in healthcare crowdsourcing The papers in this session discuss ways in which the use of platforms. I found that the interaction between crowdsourcing digital platforms creates new forms of relationships between and traditional work has not been adequately captured in the worker and the organization. existing literature: though the decision of responding to Uberization Meets Organizational Theory: Platform Capitalism crowdsourcing is voluntary, doctors participation is constrained and the Rebirth of the Putting-out System by offline characteristics (e.g., hierarchical levels, hospital status, and offline social networks), and they may steal work Aurlien Acquier, ESCP EUROPE hours from offline employers. Such time theft behaviors predict
Page | 81 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM SCHEDULE
their online performance evaluated by patients but not the absorptive capacity of an automotive company. The diagnosis accuracy evaluated by experts. The reasons behind contribution of this paper is to increase the understanding of such seemly ineffective participation go beyond financial, this absorptive capacity and to better understand how firms learning or entertainment motives in existing literature and exploit patent information in order to foster their open include career calling. innovation process. Despite the role played by patent data as a valuable source of strategic information for advancing the
understanding of a given technological art, we still know little Digital Business Models about the way firms integrate patent information within their Friday, 20 April 2018 - 15h 00 - 16h 30 organization. The main aim is to provide the audience with new conclusions and recommendations for data management Paper Session practice within the intellectual property management context. 39MS02 Classroom Digital Resources, Business Models and Inter-Firm Relations Digital business models and industries. Lars Bengtsson, Lund University Keep It or Share It? Exploring the Impact of Platform Rent Emil Åkesson, Lund University Appropriation on Quality of Complementary Products In this paper proposal, we suggest a framework to categorize M.Mahdi Tavalaei, University of Surrey inter-firm relations via business models based on digital Juan Santalo, Instituto De Empresa resources, such as (but not limited to) big data. The suggested In this paper we try to investigate the effect of change in rent framework builds on resource dependence theory and, more appropriation strategy by platform owner on the quality of specifically, the dimensions of interdependence defined by complementary products. On the one hand, extracting less Casciaro and Piskorski (2005): mutual dependence and power revenue from complementors results in higher incentives for imbalance and a game-theoretic logic (Axelrod, 1980). By compelemtors to invest on quality of their products. Yet, the specifying four different configurations of business model favorable rent appropriation strategy can inflate the platform relations in the framework, based on these dimensions of and diminish the benefit through competitive crowding effect. interdependence, we take an important step towards Thus, the net impact is not clear a priori. In the context of explicating the conditions of cooperation facing many firms, smartphone app markets, we use the change in revenue-sharing large and small, in the currently emerging digital ecosystems. scheme from 85/15 to 70/30 (obtained by platform owner/app developers), which has been initiated by Apple, and consequently by Google, to build a difference-in-difference model and investigate this effect on quality of apps in each
platform. Digital Maturity of the Firm's Business Model Business of Big Data Friday, 20 April 2018 - 15h 00 - 16h 30 Sergejs Groskovs, Copenhagen Business School Paper Session Sreekanth Vemula AP 3 Austin Pearce Lecture Theatre We propose a digital maturity assessment model as an How big data companies operate. instrument for researchers and a strategic tool for managers. Existing literature lacks a conceptually clear way to measure the Alphabets Past: A Megacorporations Influence on Historical construct of digital maturity at the level of the firms business Analysis model. Our proposed instrument thus opens avenues for Glen Whelan, York University research into questions related to antecedents, process, and
performance outcomes of the digitalization of business Megacorporations are distinguished from other large FRIDAY activities. The assessment follows the logic of first decomposing corporations on the basis of their having a diffuse and the business model into the underlying value creation activities fundamental impact on society writ large. In this paper I argue and then evaluating the levels of automation and digitalization that Alphabet, the owner of Google, is having a significant in these activities. This being a conceptual model, we also put impact on how we conceive and construct social pasts, largely forward further steps towards validation. through its role in creating masses of digitized historical resources. Given the overwhelming amount of information Strategic Use of Patent data in Digital Economy Case of being created, the paper argues that two techniques the Automotive Industry monolithic and mlange technique respectively are becoming of Sylvain Mbongui, University of Versailles increasing prominence and importance. These techniques are constructed by building on key works in the (digital) humanities Managers are exposed to complex management challenges, and by referring to the activities of Alphabet and related actors. which include the integration and the exploitation of patent data in the innovation process. This article focuses on exploring
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 82 CONFERENCE PROGRAM SCHEDULE ʱǖǞ ʱǖǞ Business Models in the Market for Online Advertising and Employee Well-being in the Digital Age: Promise Tracking or Illusion? Christian Peukert, Catholica Lisbon Friday, 20 April 2018 - 15h 00 - 16h 30 Tobias Kretschmer, LMU Munich Symposium Three of the ten most valuable companies worldwide make 32MS01 Classroom money off online advertising and advertisers now spend more N. Sharon Hill, The George Washington University on digital ads than on any traditional platform. Yet, we know Carolyn Axtell, Sheffield University surprisingly little about the online adverting industry as a Niina Nurmi, Aalto University whole. In this project, we take a first step and document the Petros Chamakiotis, University of Sussex variety of business models that firms use to compete in the Sumita Raghuram, The Pennsylvania State University complex advertising ecosystem. Our analysis will be informed Digital technologies have enabled changes in working and by a unique dataset that lets us observe 3,990 firms that operate organizing that have potential to either greatly enhance or in the industry, combined with information about the third- diminish employee well-being. To discuss and debate this party services operating on one million popular websites. contentious issue, the symposium brings together a diverse set Sensemaking through Digital Channels: A Tale of Two Banks of panelists from three different countries who study effects of different types of virtual work (e.g. telecommuting, mobile Mayur Joshi, Ivey Business School work, virtual teams, computer-mediated communication) on Ning Su, Ivey Business School various aspects of employee well-being. In addition to This paper draws on the sensemaking literature to study how representing different virtual work domains, the panelists utilize digitized organizations make sense of the environment with the different methodological approaches to examine employee absence of human employees at the point of interaction with well-being such as, surveys, observations, interviews, and external stakeholders, specifically customers. Digital forms of biometric indicators. With active audience participation, the organizations are becoming increasingly prevalent, and due to symposium aims to integrate well-being research across their unique characteristics, it becomes important to study the different virtual work domains, identify areas to advance process of sensemaking of these organizations, where instead research in all domains and gain important insights to inform of tacit, social, and interactive sensemaking with customers, managerial practice in the digital economy. they follow a more analytical sensemaking process based on
the behavioural traces generated by customers in form of big data. This study proposes a qualitative comparative analysis of Towards an Understanding of the Internet of the sensemaking process for a digitized vis--vis traditional form Things - Addressing Management Theory prior to of organization to identify the distinctive patterns, and thereby the implications for organizational actions. the Application of an Emerging Technology Friday, 20 April 2018 - 13h 15 - 14h 45 Uncovering the Mystery of Digital Phenomena: Data Aggregator Symposium In4Good AP 1 Austin Pearce Lecture Leona Chandra Kruse, University of Liechtenstein Mike Wright - Imperial College Business School Sanja Tumbas, IESE Business School Jonathan Linton - Sheffield University Studying a digital phenomenon involves dealing with mystery, This session is designed to explore the open and important due to the increased opaqueness of the underlying digital questions for management and social sciences regarding technologies. Inquiring into mysteries, however, requires understanding both the challenges and needs for successfully common grammars and vocabularies that at the same time utilizing the Internet of Things. These concerns include: promotes creative discourse. This also implies a call for unanticipated consequences (hence The Dark Side of the strategies to cope with the general reluctance to embrace Internet of Things special issue topic) of opportunity complexity. In this article, we analyze the case of a social data recognition, alliances, networks, standards, coopetition, aggregator In4Good by taking into account multiple views of
FRIDAY business innovation and human resources. The next step will be distinct actors. The implications are threefold. First, it is useful to move toward linking these questions to the appropriate to promote transparency in digital research process and digital theory to develop actionable research projects. The intent is to site as well as identify the right object. Second, analytically encourage and foster research for both big tent and specialist separating digital technologies into their modular layers outlets. The Editors of Academy of Management Perspectives provides valuable insights. Third, we promote the notion of and Technovation will be there to lead the discussion and socially-driven digital entrepreneurship that embraces both describe how the theme will be related to their respective economics and ethics. special issues.
Page | 83 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM PARTICIPANTS THURSDAY ∙ 19 APRIL THURSDAY ∙ 19 APRIL Aaltonen, Aleksi Axtell, Carolyn - Sheffield Bonina, Carla - Surrey Business Abbasi, Munir University School Acquier, Aurélien - ESCP EUROPE Azad, Bijan - American University of Börjeson, Love - Stanford University Agrawal, Anirudh - TechQuartier Beirut Bouncken, Ricarda B. - University Ahmed, Sara - The University of Bader, Verena - Bundeswehr of Bayreuth Surrey University Munich Brauer, Matthias - University of Ahn, Sungu Baehr, Karolina Mannheim Ahrweiler, Petra – EA European Baltrip, Ryan Breunig, Karl Joachim - Oslo and Commission Academy of Bamberger, Boas Akershus University Technology and Innovation Bandara, Ruwan - University of Browder, Russell - Baylor University Assessment, Bad Neuenahr- Wollongong Brown, Alan - University of Surrey Ahrweiler Banerjee, Mitali - Columbia Bruni, Elena - Cà Foscari University Ajunwa, Ifeoma University of Venice Åkesson, Emil - Lund University Barnett, Michael - Rutgers Bughin, Jacques - McKinsey & Akter, Shahriar - University of University Company Wollongong Barrett, Michael - University of Bui, Son Alaimo, Cristina - Surrey Business Cambridge Busch, Thorsten - University of St. School Bartezzaghi, Emilio Gallen Ala-Kitula, Anniina Batikas, Michail - LMU Munich Cagliano, Raffaella - Politecnico Di Aliabina, Elena - Novosibirsk State Batista-Navarro, Riza - University Milano University of Manchester Calvard, Tom - University of Allen, David - Texas Christian Bauer, Robert M. - Johannes Kepler Edinburgh University University Linz Cañibano, Almudena - ESCP Europe Altmann, Peter - Chalmers Bayat, Ali - Alliance Manchester Canterino, Filomena - Politecnico University of Technology Business School Di Milano Anderson, Jonathan Bechtoldt, Myriam - EBS University Caputo, Andrea – University of Angelopoulos, Spyros - Tilburg Beimborn, Daniel - Frankfurt Lincoln, Lincoln International University School of Finance & Management Business School Ansari, Shahzad (Shaz) - Judge Bekkers, Rudi - Eindhoven Carli, Giacomo - The Open Business School University of Technology University Business School Antibas, Gabriela Bellesia, Francesca - University of Carter, Christopher Antunes, Claudia - Catolica Lisbon Bologna Caserta, Marco School of Business & Economics Bengtsson, Lars - Lund University Castello, Itziar - Universidad Carlos Anzengruber, Johanna – University Benson, George S. - University of III of Applied Sciences Upper Austria Texas at Arlington Cavenago, Dario - University of Aragon-Correa, J. Alberto - Berends, Hans - VU University Milano-Bicocca University of Granada / University Amsterdam Cavotta, Valeria - Imperial College of Surrey Blomme, Robert J. - Nyenrode Ceci, Federica - Università Arreola, Maria Fernanda - ESSCA Business Universiteit G.d'Annunzio School of Management Bloom, Peter - Open University Ceipek, René - University of Asensio, Omar Isaac - Georgia Bogers, Marcel - University of Innsbruck Institute of Technology Copenhagen Cennamo, Carmelo - Bocconi Atinc, Yasemin Boh, Wai Fong - Nanyang University Auschra, Carolin - Freie Universität Technological University Cepa, Katharina Berlin Bohn, Stephan - Free University of Chamakiotis, Petros - University of Autio, Erkko – Imperial College Berlin Sussex London Bohnsack, René Chapman, Chris - University of Avetisyan, Marianna - University of Bondarouk, Tanya - University of Bristol Twente Twente Charlwood, Andy - University of Avlonitis, Viktor - Copenhagen Bonesso, Sara - Cà Foscari Leeds Business School University of Venice Chen, Weiru - CEIBS
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 84
CONFERENCE PROGRAM PARTICIPANTS
Chen, Chen Eaton, Ben Gautschi, Heidi - IMD Chen, Liang - University of Sussex Ellmer, Markus - University of Gawer, Annabelle - University of Chen, Yi Salzburg Surrey Cheng, Maggie - McMaster Elmquist, Maria - Chalmers Gegenhuber, Thomas - JKU Linz University University of Technology Genc, Yegin - Pace University Chiesa, Vittorio Endres, Herbert - University of George, Elizabeth - University of Chua, Wai Fong - University of Regensburg Auckland Sydney Etter, Michael - Cass Business George, Amrita - Georgia State Chuang, Chien Hui School University Ciappei, Cristiano - University of Fabian, Frances - University of Gerli, Fabrizio - Cà Foscari Florence, DISEI Ȕ Department of Memphis University of Venice Economics and Management Faik, Isam - National University of Gersch, Martin Claussen, Jörg - LMU Munich Singapore Geurts, Amber - Aalto University Constantiou, Ioanna - Copenhagen Fakhimi, Masoud - University of Ghezzi, Antonio - Politecnico di Business School Surrey Milano Conway, Edel - DCU Business Farivar, Farveh - University of Gilbert, Nigel Ȕ Centre for Research School Tasmania in Social Simulation, Department Cornelius, Philipp - Rotterdam Feldberg, Frans - KIN Research, VU of Sociology, Faculty of Arts and School of Management Amsterdam Human Sciences, university of Corporaal, Stephan - Saxion Feldberg, Alexandra - Harvard Surrey University of Applied Sciences University Gino, Francesca - Harvard Business Corso, Mariano - Politecnico di Felin, Teppo Ȕ Said Business School Milano - Dipartimento di School, University of Oxford Glaser, Vern - University of Alberta Ingegneria Gestionale Fenger, Morten - Aarhus University Glozer, Sarah - University of Bath Cullen, Joseph Fernandes, Catarina - Harvard Goh, Kenneth - Singapore Curto-Millet, Daniel - Spanish Business School Management University National Research Council Fernando, Mario - University of Gombert, Lilian - Leibniz-Research Dahlander, Linus - European Wollongong Center for Working Environment School of Management and Fieseler, Christian - BI Norwegian and Human Factors Technology Business School Good, Matthew Davis, Jason - INSEAD Fitza, Markus - Frankfurt School of Gopal, Anandasivam - University of De Winne, Sophie - KU Leuven Finance & Management Maryland DeCelles, Katy - Rotman School of Fleck, Matthes - Lucerne School of Goto, Masashi - Keio University Management Business Graham, Byron - Queen's University Deken, Fleur - VU Amsterdam Fliaster, Alexander - University of Belfast Delen, Dursen Bamberg Granqvist, Nina - Aalto University Démeijer, Dionne Frattini, Federico - Politecnico di Greene, Michael - Deloitte Dias, Nigel Milano School of Management Grishikashvili, Ketty - The Open Ding, Xuechen - School of Frederksen, Lars - Aarhus University Economics and Management University Groskovs, Sergejs - Copenhagen Dinter, Barbara - TU Chemnitz Freese, Charissa - HR Studies / Business School Doshi, Anil - UCL School of Reflect Grosman, Anna - Loughborough Management Fritzsche, Albrecht University Downes, Patrick - Rutgers Fruhen, Laura Güçlü, Burçin - BES La Salle University Furstenau, Daniel - Freie Günther, Wendy - VU Amsterdam Dragt, Maria Johanna - Nyenrode Universität Berlin Habraken, Milou - University of Business Universiteit Garud, Raghu - Pennsylvania State Twente Dushnitsky, Gary - London University Hackett, Rick - McMaster University Business School Gastaldi, Luca - Politecnico di Haefliger, Stefan Dy, Angela - Loughborough Milano - Dipartimento di Haeger, Donna L. - Cornell University London Ingegneria Gestionale University
Page | 85 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM PARTICIPANTS ʱǖǞ ʱǖǞ Hærem, Thorvald - Michigan State Hsuan, Juliana - Copenhagen Kawalek, Peter - Loughborough University Business School University Haesler, Jakob - OECD Huang, Peng - University of Kenney, Martin - University Of Hafezieh, Najmeh Maryland California-Davis Hajikhani, Arash Hukal, Philipp - Warwick Business Kern, Margaret - The University of Hamilton, R. - University of School Melbourne Mississippi Hummel, Jochem - VU Amsterdam Khambatta, Poruz - Stanford Hamori, Monika - IE Business Hund, Axel - German Graduate University School School of Management and Law Khan, Mohammad Saud - Victoria Hancock, Julie - University of North Hunter, Trevor - King's University University of Wellington Texas College at Western Khanagha, Saeed - Radboud Hanelt, Andre - University of Husted, Bryan - Tecnologico de University Nijmegen Goettingen Monterrey Khashabi, Pooyan Hannigan, Tim - University of Huy, Quy - Insead Kidder, Deborah - University of Alberta Huysman, Marleen - Vrije Hartford Hänninen, Mikko - Aalto University Universiteit Amsterdam Kiley, Jason - Spears School of School of Business Iftikhar, Rehan - University of Business, Oklahoma State Hansson, Mathias - BI Norwegian Exeter University Business School Illia, Laura - IE University Kim, Wonjoon - KAIST Hardy, Catherine Jacob, Marie-Rachel - EM Lyon Kim, Kibae - Korea Advanced Hartmann, Philipp - Technische Business School Institute of Science and Universität München Jacobides, Michael G. - London Technology Hauser, Oliver - Harvard Business Business School Kimberley, Nell - Monash University School Jain, Ankur - Indian Institute of Kirschbaum, Charles - Insper Hautz, Julia - University of Management, Bangalore Institute of Education and Res Innsbruck Jarvenpaa, Sirkka - University Of Klapper, Helge - Rotterdam School Hay, Georgia - The University of Texas-Austin of Management Western Australia Jensen, Scott - San Jose State Klein, Stefan Hedman, Jonas - Copenhagen University Klonek, Florian - The University of Business School Jiang, Lin - University of Missouri Western Australia Henfridsson, Ola Ȕ Warwick Jocevski, Milan Klos, Christoph - University of Business School, University of Johnston II, James Kassel Warwick Jones, Matthew Koch, Hope - Baylor University Henkel, Joachim - Technische Jørn, Hans Juhl - Aarhus University Kolk, Ans - University of Amsterdam Universität Muenchen Josefy, Amanda Bree - Indiana Business School Henriques, Irene - York University University Kolloch, Michael - University of Hernandez, James - Baylor Josefy, Matthew - Indiana Bamberg University University Kostis, Angelos - Umeå School of Hesse, Andreas - European Joshi, Mayur - Ivey Business School Business and Economics (USBE) Business School (EBS University) - Jurowetzki, Roman Kourula, Arno - University of Germany Kaiser, Stephan - Bundeswehr Amsterdam Business School Hilbolling, Susan - KIN Research, University Munich Koutroumpis, Pantelis - Imperial VU Amsterdam Kallinikos, Jannis - London School College Business School Hill, N. Sharon - The George of Economics Kovalev, Sergey Washington University Karakaya, Emrah - KTH Royal Kowalkiewicz, Marek - Queensland Hoff, Silje Hammervold Institute of Technology University of Technology Holmberg, Gunnar - Saab AB Karunakaran, Arvind - MIT Sloan Kratz, Benedikt Holmström, Jonny - Umeå Kasper, Gabriel - University of St. Kretschmer, Tobias - LMU Munich University Gallen Krishnan, Gopal Holotiuk, Friedrich - Frankfurt Katila, Riitta - Stanford University Kronblad, Charlotta - Chalmers School of Finance & Management University of Technology
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 86 CONFERENCE PROGRAM PARTICIPANTS
Kruse, Leona Chandra - University Linton, Jonathan - Sheffield Maull, Roger of Liechtenstein University May, Jana - University of Mannheim Kuipers, Maartje Liu, Dong - Georgia Institute of Mazzei, Matthew - Samford Kuk, George - Nottingham Business Technology University School Liu, Xielin - University of Chinese Mbongui, Sylvain - University of Kumar, Harsh Jha Ȕ Newcastle Academy of Sciences Versailles University Business School Liu, Yu-Hsin - Kelley School of McAuley, Derek - University of Kyriakou, Harris - IESE Business Business Nottingham School Long, Anna - Baylor University McGahan, Anita - Rotman School, Laguda, Emem Ȕ Lagos Business Longoni, Annachiara - Fundación University of Toronto School ESADE-Esade Business School Mehrizi, Mohammad Reazade - VU Lakemond, Nicolette - Linköping Lopez, David - University of Exeter Amsterdam University Lorenz, Annika - Utrecht University Meijerink, Jeroen - University of Lanza-Abbott, JeAnna - University Loscher, Georg - Bundeswehr Twente of Houston University Munich Merali, Yasmin - University of Hull Lanzolla, Gianvito Lucena, Abel - University of the Meyer, Tim - Bocconi University Laudien, Sven M. Balearic Islands Mihalache, Oli - VU Amsterdam Lavanchy, Maude Ȕ International Ludovico, Nuccio Miller, Gloria Institute of Management Lutz, Christoph - BI Norwegian Milner, Dave Ȕ IBM Workforce Development (IMD) Business School Science Leibel, Esther - Boston University Lynn, Theo - DCU Business School Minbaeva, Dana - Copenhagen Leicht-Deobald, Ulrich - University Lyytinen, Kalle Business School of St. Gallen MacAulay, Samuel - University of Minervini, Marco - Bocconi Leiponen, Aija - Cornell University Technology Sydney University Leonardi, Paul - UC Santa Barbara Mack, Daniel - Singapore Mishra, Kirti - Indian Institute of Leonel, Ronei - University of Management University Management Memphis Madhok, Anoop - York University Misuraca, Gianluca - European Leonidova, Anastasia - Novosibirsk Malik, Zaki Commission, Joint Research State University Malik, Omar - Heidelberg University Centre-Institute for Prospective Levenson, Alec Ȕ Center for Maltseva, Kateryna - BI Norwegian Technological Studies Effective Organizations, Marshall Business School Mo, Jiahui - Nanyang Technological School of Business, University of Mang, Paul Y. - Aon Corporation University Southern California Mankevich, Vasili - Umeå University Monks, Kathy Ȕ DCU Business Li, Chenxin (Robin) - McMaster Mao, Jiye - Renmin University of School University China Montagnon, Pascal Li, Jiatao (J.T.) - Hong Kong Marcus, Lynn - Bentley University Morgan, Bethan - University College University of Science and Marler, Janet - University at Albany London Technology Martin, Kirsten E. Ȕ George Morgan-Thomas, Anna - Adam Li, Sali - University of South Washington University Smith Business School Carolina Martin, Xavier - Tilburg University Morris, Tim - Saïd Business School Li, Feng - Cass Business School Martini, Mattia - University of Morrissey, Kellie - Newcastle Lichtenstein, Yossi - University of Milano-Bicocca University London Marz, David - University of Mortier, Richard - Cambridge Lin, Yan - Nanyang Technological Goettingen University University Marzi, Giacomo Ȕ University of Moscoyiannis, Sotiris Lindberg, Aron - Stevens Institute of Lincoln, Lincoln International Murphy, Kris - Case Western Technology Business School Reserve University Lindskow, Kasper - JP/Politikens Matten, Dirk - Schulich School of Murthy, Ramya - York University Hus Business, York University Mustafee, Navoni Lingo, Elizabeth - Worcester Matzler, Kurt - Free University of Nagaraj, Abhishek - Berkeley Polytechnic Institute Bolzano
Page | 87 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM PARTICIPANTS ʱǖǞ ʱǖǞ Nagle, Frank - University of Pereira, Joana - Leeds University Reichel, Astrid - University of Southern California Business School Salzburg Napitupulu, Lita - Radboud Perendija, Aleksandra Ȕ Humboldt Reischauer, Georg University University Berlin Rejeski, David - Woodrow Wilson Naraine, Michael - Deakin Pérez-Valls, Miguel - University of International Center for Scholars University Almería Ren, Ting - Peking University HSBC Narayanan, Jayanth - International Pershina, Raissa Business School Institute of Management Pesch, Robin - University of Rialti, Riccardo - University of Development (IMD) Bayreuth Florence Nelson, Laura - College of Social Petani, Fabio - INSEEC Business Richardson, Julia - Curtin Business Sciences and Humanities School School, Curtin University Northeastern University Peters, Pascale - Radboud Ringel, Leopold - Bielefeld Nerur, Sridhar - University of Texas University Nijmegen University at Arlington Peters, Uchenna Rinke, Patrick Newell, Sue - Sussex University Petitt, Eric Rivkin, Wladislaw - Aston Newlands, Gemma - BI Norwegian Pettersson, Anders University Business School Peukert, Christian - Catolica Lisbon Rockmann, Kevin - George Mason Noble, David - University of Philip, Jestine University Connecticut Phillips, Nelson - Imperial College Roden, Sinéad Ȕ Trinity Business Norton, Michael - University of London School, Trinity College Dublin Toronto Piezunka, Henning - INSEAD Rosati, Pierangelo - DCU Business Nucciarelli, Alberto - University of Pinfield, Stephen School Trento Pisani, Niccolò - University of Roth, Steffen - La Rochelle Business Nurmi, Niina - Aalto University Amsterdam Business School School Ohu, Ikechukwu Ȕ Gannon Pistorio, Andrea - Politecnico di Röth, Tobias - Kassel University University Milano - Dipartimento di Rouwendaal, Paulien Ohu, Eugene - Lagos Business Ingegneria Gestionale Santalo, Juan - Instituto De School Pittaway, Jeffrey - University Empresa Oliver, Nuria - Vodafone College London Santana-Gallego, Maria - University ONeill, Peter - Monash University Pittman, Janice - Aerial Strategic of the Balearic Islands Osman, Ibrahim - American Enterprises Santinelli, Maximiliano - The University of Beirut Plans, David Boston Consulting Group Paavola, Lauri - Aalto University Plomp, Marijn Saouma, Richard School of Business Plotnikova, Anna Savani, Krishna Ȕ Nanyang Pachidi, Stella - University of Pollock, Neil - The University of Business School, NTU Cambridge Edinburgh Business School Say, Gui Deng - University of Pan, Yang - Louisiana State Porras, Jari Minnesota University Prencipe, Andrea - LUISS University Schafheitle, Simon - University of Paramar, Rashik - IBM Price, Dominic - University of St. Gallen Park, Chan Hyung - Washington Nottingham Schank, Christoph - University of University in St. Louis Prieto, Marc - ESSCA School of St. Gallen Parker, Kyung Min Management Scherer, Andreas Georg - University Parker, Sharon - The University of Raghavan, Sharat of Zurich Western Australia Raghuram, Sumita - The Schildt, Henri - Aalto University Parmar, Rashik - Imperial College Pennsylvania State University Schillebeeckx, Simon J.D. - Peeters, Tina - Tilburg University Randolph-Seng, Brandon - Texas Singapore Management University Pemer, Frida - Stockholm School of A&M University-Commerce Schmidt, Klaus-Helmut - Leibniz- Economics Rathje, Jason - Stanford University Research Center for Working Pentland, Brian - Eli Broad College Rauch, Madeleine - European Environment and Human Factors of Business University Viadrina Schmitz, Kurt - Georgia State University
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 88 CONFERENCE PROGRAM PARTICIPANTS
Schneider, Paul Sørensen, Carsten - London School Tuertscher, Philipp - VU University Scholderer, Joachim - Aarhus of Economics Amsterdam University Spagnoletti, Paolo Tumbas, Sanja - IESE Business Scholz, Tobias - University of Siegen Spieth, Patrick - Kassel University School Schultz, Mario D. - Università della Sprigg, Christine Tyrväinen, Pasi - University of Svizzera italiana Srinivasan, Vasanthi - Indian Jyväskylä Schulz, Anke Institute of Management Urbinati, Andrea - Politecnico Di Schweitzer, Jochen - University of Stanske, Sarah Milano Technology Sydney Stein, Volker - University of Siegen Vaast, Emmanuelle - McGill Seamans, Rob - New York University Stelmaszak, Marta - London School University Seele, Peter - Università della of Economics van den Berg, Stephanie - Svizzera italiana Stergioulas, Lampros - University University of Twente Seifried, Mareike - LMU Munich of Surrey van den Broek, Elmira - Vrije Sele, Kathrin - Aalto University Sting, Fabian J. Universiteit, Knowledge, School of Business Storey, Veda - Georgia State Information, Innovation (KIN) Sergeeva, Anastasia - Vrije University Research Group Universiteit Amsterdam Strohmeier, Stefan - Saarland van den Broek, Tijs - University of Sessa-Sforza, Cosima - London University Twente School of Economics Su, Ning Ȕ Ivey Bsiness School van Kampen, Dennis - VU Shah, Tushar - University of Texas Swart, Juani - University of Bath Amsterdam at Arlington Swartling, Dag Van Riemsdijk, Maarten Shaheer, Noman - University of Symon, Gillian - Royal Holloway van Rijmenan, Mark South Carolina University of London van Veldoven, Marc - Tilburg Shahiduzzaman, Md Taani, Iman - National University of University Shao, Jianhua - City Singapore van Zeebroeck, Nicolas - Université Sharapov, Dmitry - Imperial Tadelis, Steve - University of Libre De Bruxelles (ULB) College Business School California Berkeley Veltri, Giuseppe Alessandro Ȕ Silva, Maria Talvitie-Lamberg, Karoliina - Department of Sociology and Silvennoinen, Minna University of Jyväskylä Social Research, University of Situmeang, Frederik - Hogeschool Tanriverdi, Huseyin - University of Trento van Amsterdam Texas at Austin Vemula, Sreekanth Skjølsvik, Tale - Oslo and Akershus Tavalaei, M.Mahdi - University of Verweij, Patrick University Surrey Viscusi, Gianluigi - EPFL Slemp, Gavin - The University of Taylor, Mark Vodosek, Markus - German Melbourne Tchalian, Hovig - Claremont Graduate School of Management Slim, Assen Graduate University, Drucker and Law Smedlund, Anssi School of Management Volberda, Henk - Rotterdam School Sodeman, William - Seven Hills Teece, David J. of Management Foundation ter Wal, Anne - Imperial College Vuorenmaa, Hertta - Aalto Soebbing, Brian - University of Business School University School of Business Alberta Thomas, Llewellyn - LaSalle Waardenburg, Lauren - Vrije Solinas, Giulia - UNiversity of Universitat Ramon Llull Universiteit Amsterdam Liverpool Tong, Tony W. - University of Wagner, Heinz-Theo - German Söllner, Albrecht - European Colorado Graduate School of Management University Viadrina Tracey, Paul - University of and Law Somers, Toni - Wayne State Cambridge Wallin, Martin - Chalmers University University Trittin, Hannah - University of of Technology Song, Seo Yeon - INSEAD Zurich Walsh, Alistair - The University of Sonnenberg, Mariëlle Tucci, Christopher - Ecole Melbourne Soppe, Birthe - University of Oslo Polytechnique Fédérale Lausanne Walsh, Sarah E - Georgia Institute of Technology
Page | 89 BIG DATA AND MANAGING IN A DIGITAL ECONOMY CONFERENCE PROGRAM PARTICIPANTS ʱǖǞ ʱǖǞ Wang, Lan Zegners, Dainis Watanabe, Nicholas - University of Zhang, Zihou - University of South Carolina Amsterdam Weibel, Antoinette - University of Zhang, Nila - Nanyang St. Gallen Technological University Weingartner, Shawna - King's Zhang, Pengxiang - University of University College at Western South Carolina Weiss, Rebecca Zhao, Yang - Loughborough Weitzel, Tim - University of University London Bamberg Zwack, Thomas - HHL Leipzig Wenzel, Matthias - European Graduate School of Management University Viadrina Wenzel, Ramon - University of Western Australia Werr, Andreas - Stockholm School of Economics Wessels, Bridgette Westermann-Behaylo, Michelle - University Van Amsterdam Whelan, Glen - York University White, Margaret - Maynooth University Whiting, Rebecca - Birkbeck University of London Wiblen, Sharna - Sydney Business School Wildhaber, Isabelle - University of St. Gallen Winkler, Peter - FH Wien Woods, Stephen - Surrey Business School, University of Surrey Worring, Marcel - University of Amsterdam Wright, Mike - Imperial College Business School Wu, Anne - National Chengchi University Wuebker, Robert - University of Utah Yan, Grace - University of South Carolina Yang, Jiho - Yonsei University School of Business Yi, Jingtao - Renmin University of China Yin, Dezhi - University of Missouri Yu, Xingguo - Peking University HSBC Business School Zablith, Fouad - American University of Beirut Zaoui, Ishraf
BIG DATA AND MANAGING IN A DIGITAL ECONOMY Page | 90 ƥ2Ǜ'(Ǜ6
Explore a New Type of Be Part of the Process! Get Started! AOM Conference!
AOM Specialized Conferences AOM is soliciting proposals for Visit the AOM Specialized are smaller, meaningful and thematic, as well as professional Conferences website to submit a sustainable meeting development and regional conference idea. You’ll be asked opportunities that complement immersion conferences for 2020 to submit a brief statement of our historic Annual Meeting. or beyond that will serve at least interest that presents the core Thematic conferences 350 participants, and be located concept, site, location, format, for 2018 include “Big Data and outside of the U.S. institutional capabilities, and Managing in a Digital Economy” Organizing Committee. and “From Start-up to Scale-up: Coping with Organizational http://aom.link/ Challenges in a Volatile Business SPECIALIZEDCONFERENCES Environment.” MEET AT THE CROSSROADS OF THE START-UP UNIVERSE!
FROM START-UP TO SCALE-UP: Coping with Organizational Challenges in a Volatile Business Environment TEL AVIV, ISRAEL - DECEMBER 17-19, 2018
SPONSORED BY: Hebrew University of Jerusalem, Technion-Israel Institute of Technology, and Tel Aviv University
IN COLLABORATION WITH: Entrepreneurship, International Management, Organizational Behavior, Organization and Management Theory, Strategizing Activities and Practices, and Technology and Innovation Management Divisions
LEARN MORE: http://aom.link/StartUp2ScaleUp BIG DATA BY THE NUMBERS REGISTRANTS: 368* COUNTRIES REPRESENTED: 34 ACADEMICS: STUDENTS: NON-MEMBERS: 63% 23% 11%
ACCEPTANCE RATE: 61%
PAPER SYMPOSIUM ACTIVE LEARNING SUBMISSIONS: SUBMISSIONS: WORKSHOPS 370 17 25
PROGRAM CONTENT
ACTIVE LEARNING PAPER 18 WORKSHOPS 61 SESSIONS
DOCTORAL SYMPOSIA 5 CONSORTIA 18
PAPER DEVELOPMENT OTHER (JOURNAL) SESSIONS 3 WORKSHOPS 3
*AS OF MARCH 16, 2018
BIG DATA AND MANAGING IN A DIGITAL ECONOMY BIG DATA AND MANAGING IN A DIGITAL ECONOMYPage | 2