Phd Dissertation Jurriaan Van Reijsen
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Knowledge Perspectives on Advancing Dynamic Capability Jurriaan van Reijsen SIKS Dissertation Series No. 2014-05 The research reported in this thesis has been carried out under the auspices of SIKS, the Dutch Research School for Information and Knowledge Systems. Knowledge Perspectives on Advancing Dynamic Capability Doctoral Thesis. Utrecht University, Utrecht, The Netherlands. Department of Information and Computing Sciences. V20140122. © 2014 Jurriaan Theodoor van Reijsen http://www.comprehend.nl This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License (except for chapters 4 and 8). To view a copy of this license, please visit: http://creativecommons.org/licenses/by-nc-sa/3.0/ For alternative uses of this work, contact the author at [email protected] ISBN 978-90-393-6096-5 Author Jurriaan van Reijsen Cover Jurriaan van Reijsen, Daniel Cosma Keywords Knowledge Management, Knowledge Networks, Social Network Analysis, Dynamic Capability, Absorptive Capacity Knowledge Perspectives on Advancing Dynamic Capability Kennisperspectieven op het versterken van dynamisch vermogen (met een samenvatting in het Nederlands) PROEFSCHRIFT ter verkrijging van de graad van doctor aan de Universiteit Utrecht op gezag van de rector magnificus, prof. dr. G.J. van der Zwaan, ingevolge het besluit van het college voor promoties in het openbaar te verdedigen op 19 maart 2014 des middags te 4.15 uur door Jurriaan Theodoor van Reijsen geboren op 30 augustus 1982, te Tiel Promotoren: Prof.dr. S. Brinkkemper Prof.dr.ir. R.W. Helms Dit proefschrift werd mede mogelijk gemaakt met financiële steun van The Courseware Company B.V. Preface When I finished secondary education in 2000, I was certain that I would never pursue an academic career because I wanted to be educated in practice. Less than four years later, when I finished studying at the Academy for Digital Communication, my thoughts had turned as I knew I was not yet ‘done’ with education. After a short search, I enrolled in the Master of Business Informatics and after just 1.5 years, I gained two things: a master’s degree in Information Science and an interest in knowledge management. The opportunity to work on a PhD thesis presented itself. In retrospect, I would admit that the motivation that initially pushed me to pursue the PhD project was based on something that Alain de Botton refers to as ‘status anxiety’. Somehow, I felt that I had to prove to the world that I was capable of doing this. Now, I am all the more grateful that this itch of ‘I’ll show them’ gradually transformed into an enthusiasm for conducting scientific research. As quickly as I obtained both my bachelor’s and master’s degrees, the more time I would eventually require to finish this doctoral thesis. Although a part-time position and several life-changing events demanded their toll on the project, it was only after I realized from one of Matthieu Ricard’s teachings what I had been missing to really get the project off the ground: a sense of direction. Luckily, that’s what I found soon after and it opened a world of new insights and great discussions with fellow researchers and practitioners that eventually resulted in this work. I’m grateful for the unparalleled experience and advice that colleagues, relations and friends provided during the course of this work. I wish to express my gratitude to Jan-Willem Witte, Jeroen van Zelst, Paul Ten Holter, Mark McElroy, Carla van den Berg, Menno de Jonge, Diane Etman, Paul van den Brink, Eric van Tol, Chris Textor, Coen Flach, Marlies van Steenbergen, Rogier van de Wetering, Marijn Plomp, Slinger Jansen, Inge van de Weerd, Rik Bos, Wiel Bruls, Nico Brand, Leo Pruijt, Macro Spruit, Jaap Kabbedijk, Kevin Vlaanderen, Ravi Khadka and Michiel Meulendijk. I also wish to express my gratitude to the members of the reading committee who were willing to invest their time and effort to review and assess this work: Marleen Huysman (VU University Amsterdam), Robin Teigland (Stockholm School of Economics), Aino Kianto (Lappeenranta University of Technology), Frank Harmsen (Maastricht University) and Jos van Hillegersberg (University of Twente). vii Furthermore, thanks to my friends that supported me during the course of writing this dissertation, Martijn, Arjen, Erik and Justin and to my family, Theo, Jeanine, Wolter, Astrid, Jos, Giene, Marijke, René, Norbert, Carolijn, Agnes, Jet and Jan for their honest interest in and support for my work. Thank you Nienke, for your unconditional love and support that was invaluable for me to realize what life is all about and to put this work in the right context. A special word of thanks to Ronald Batenburg and Ralph Foorthuis, who are co- authors of many of the articles in this dissertation and to whom I am very grateful for their brilliant expertise on statistical analysis that they were willing to share and that helped me to understand statistics as I could not have done without them. Of course, I am very grateful to Sjaak Brinkkemper and Remko Helms, without whom this dissertation would never have been possible. Thank you Sjaak for your valuable teachings and your continuous trust and support that allowed me to finish this work. Thank you Remko for your rigorous teachings, advice and reviews and of course for your willingness to publish together. It saddens me to know that René Jorna has suddenly passed away, just moments before I finished writing this work. He has been my great source of inspiration to pursue this research and it was his guest lecture in 2005 at Utrecht University that sparked my interest in knowledge management and sustainability. Finally, I wish to dedicate this entire work to two gentlemen who unfortunately are no longer among us and to whom science was their life. Whenever I felt myself lacking in energy whilst doing research, the thoughts of their vigorous dedication and vision sustained me. To my grandfather Gerrit van Breevoort and to my schoolmate Chrys Grykień. Jurriaan van Reijsen, January 2014 viii Contents PREFACE VII CONTENTS IX I INTRODUCTION ............................................................... 1 1. INTRODUCTION 3 1.1 Motivation ................................................................. 3 1.2 Key Concepts ........................................................... 5 1.3 Research Questions ................................................ 16 1.4 Research relevance ................................................. 19 1.5 Methodology ........................................................... 20 1.6 Dissertation Outline ................................................. 23 1.7 List of concept definitions ........................................ 27 II KNOWLEDGE MANAGEMENT AND DYNAMIC CAPABILITY31 2. IMPACT OF KNOWLEDGE MANAGEMENT ON DYNAMIC CAPABILITY 33 2.1 Introduction to the claim ........................................... 33 2.2 Cornerstones of New Knowledge Management .......... 35 2.3 Research Model for claim validation ........................... 38 2.4 Results of the claim validation ................................... 42 2.5 Conclusion and discussion on the claim ..................... 48 ix Contents 3. ORGANIZATIONAL CONDITIONS FOR DYNAMIC CAPABILITY51 3.1 Introduction to New Knowledge Management ............ 51 3.2 Theoretical background ............................................ 52 3.3 Assessment method ................................................ 55 3.4 Data collection ........................................................ 60 3.5 Conclusion on organizational conditions ..................... 64 III SOCIAL CAPITAL AND DYNAMIC CAPABILITY ................. 67 4. IMPACT OF KNOWLEDGE MANAGEMENT AND SOCIAL CAPITAL ON DYNAMIC CAPABILITY 69 4.1 Introduction to KM and social capital ......................... 69 4.2 Theoretical Background on key concepts ................... 71 4.3 Research questions about impact .............................. 77 4.4 Research Model for impact ....................................... 79 4.5 Data collection on impact ......................................... 81 4.6 Data analysis and results about impact ...................... 82 4.7 Conclusions and discussion on the impact ................. 87 IV KNOWLEDGE NETWORKS: TECHNIQUES ....................... 93 5. KNOWLEDGE NETWORK DATA CAPTURING TECHNIQUES 95 5.1 Introduction to Knowledge Networks ......................... 96 5.2 Theoretical background on Knowledge Networks ....... 98 5.3 Research method for techniques comparison ........... 100 5.4 Results of techniques comparison ........................... 104 5.5 Conclusions and discussion on the comparison ........ 107 x Contents 6. KNOWLEDGE NETWORK EMAIL MINING TECHNIQUES 111 6.1 Introduction to networks and email mining................ 112 6.2 ESNE: Email Social Network Analysis ..................... 113 6.3 EKE: Mining email body data .................................. 117 6.4 Proposing an integrated ESNE and EKE ................. 120 6.5 Conclusions and future work .................................. 121 V KNOWLEDGE NETWORKS AND DYNAMIC CAPABILITY 125 7. IMPACT OF KNOWLEDGE NETWORKS ON GROUP PERFORMANCE 127 7.1 Introduction to Knowledge Networks ....................... 128 7.2 Theory and hypotheses for impact ........................... 129 7.3 Research method for KNA ..................................... 132 7.4 Results from KNA impact on performance ............... 135 7.5 Conclusions and discussion on the impact ............... 136 8. IMPACT OF KNOWLEDGE NETWORKS ON ABSORPTIVE CAPACITY 141 8.1 Introduction to