Democratizing Innovation: the Evolving Phenomenon of User Innovation1
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EU MACS D14 Submitted 31102017 Corrected 171109
A multi-layer exploration on innovations for climate services markets H2020 – SC5-03b Research and Innovation Action Grant agreement EU-MACS European Market for Climate Services 730500 10/31/2017 Deliverable 1.4 Version 1.0 (integrated) Dissemination level: Due date of delivery: 31 MAY 2017 Public Actual date of delivery: 31 OCTOBER 2017 Lead beneficiary: UT Lead author(s): Peter Stegmaier, Klaasjan Visscher A multi-layer exploration on innovations for climate services markets – EU-MACS D1.4 Version table Date Name, Party Description 29 May 2017 Stegmaier, Peter Interim version outlining the structure of the argument; with collection of first findings from drafts of D1.1, D1.2, and D1.3 27 June 2017 Stegmaier, Peter Interim version including first experi- ences from pilot workshop in Helsinki 21 August 2017 Stegmaier, Peter Interim version outlining the suite of in- teractional formats derived from multi-layer view on climate services in WP3 and WP4 25 September 2017 Stegmaier, Peter Draft version for EU-MACS internal review 16 October 2017 Stegmaier, Peter Draft version for UT-internal 25 October 2017 Stegmaier, Peter Final version 30 October 2017 Perrels, Adriaan Pre-final check before submission 30 October 2017 Stegmaier, Peter Final check before submission Internal review table Date Name, Party Description 2 October 2017 Jörg Cortekar Comments, suggestions 10 October 2017 Adriaan Perrels Comments, suggestions 23 October 2017 Adriaan Perrels Comments, suggestions 23 October 2017 Klaasjan Visscher Comments, suggestions 25 October 2017 -
University of Florida Thesis Or Dissertation Formatting Template
MOTIVATIONS FOR SOCIAL MEDIA ADOPTION ALONG THE PRODUCT LIFE CYCLE By DENNIS DIPASQUALE A DISSERTATION PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY UNIVERSITY OF FLORIDA 2017 © 2017 Dennis DiPasquale To both of my parents, for all the reasons, but especially for the support and patience as I forged a path in life different from anything either may have expected when I was born, and for the patience I suspect I inherited and that allowed me to persevere when this task became frustrating in ways it was never meant to be ACKNOWLEDGMENTS This document represents work well beyond the research toiled over to create it. It should go without saying that the patience and mentorship of my advisor Dr. Amy Jo Coffey was instrumental not only in creating this body of work, but helping me find my path as a researcher as she truly polished a rough and rusty academic. I would also like to thank Dr. Gregory Webster for sitting on an idle committee for the better part of the past five years, as well as his assistance with some of the statistical questions in forging this work. I also need to acknowledge Dr. Richard Lutz and the Marketing Department of the Warrington College of Business Administration for taking me in as one of their own and creating a new professional path that I did not expect yet absolutely relish. Finally, to the many friends, coaches, and family for being a supporting element in my life, acting as a counterbalance to the sweat and stress involved with pursuing this path. -
Redalyc.Acceptability Engineering: the Study of User Acceptance Of€Innovative€Technologies
Journal of Applied Research and Technology ISSN: 1665-6423 [email protected] Centro de Ciencias Aplicadas y Desarrollo Tecnológico México Kim, Hee-Cheol Acceptability engineering: the study of user acceptance of innovative technologies Journal of Applied Research and Technology, vol. 13, núm. 2, 2015, pp. 230-237 Centro de Ciencias Aplicadas y Desarrollo Tecnológico Distrito Federal, México Available in: http://www.redalyc.org/articulo.oa?id=47439895008 How to cite Complete issue Scientific Information System More information about this article Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Journal's homepage in redalyc.org Non-profit academic project, developed under the open access initiative Disponible en www.sciencedirect.com Journal of Applied Research and Technology Journal of Applied Research and Technology 13 (2015) 230-237 www.jart.ccadet.unam.mx Original Acceptability engineering: the study of user acceptance of innovative technologies Hee-Cheol Kim Department of Computer Engineering, u-Healthcare & Anti-aging Research Center, Inje University, Gimhae, Gyeong-Nam, Korea Received 19 April 2014; accepted 18 August 2014 Abstract The discipline of human-computer interaction (HCI) has been vital in developing understandings of users, usability, and the design of user- centered computer systems. However, it does not provide a satisfactory explanation of user perspectives on the specialized but important domain of innovative technologies, instead focusing more on mature technologies. In particular, the success of innovative technologies requires attention to be focused on early adopters of the technology and enthusiasts, rather than general end-users. Therefore, user acceptance should be considered more important than usability and convenience. -
Interplay of Network Structure and Neighbour Performance in User Innovation
ARTICLE https://doi.org/10.1057/s41599-019-0383-x OPEN Interplay of network structure and neighbour performance in user innovation Kunhao Yang1*, Itsuki Fujisaki1,2 & Kazuhiro Ueda1* ABSTRACT Previous studies showed that regular users have become an important source of innovation (called user innovation). Previous studies also suggested that two factors have significant impacts on user innovation: the social network structure of the users and neigh- ’ 1234567890():,; bours innovation performance (neighbours mean users having interactions with the focal user). However, in these studies, the influence of the two factors were only discussed separately, and it remained unclear whether these two factors interdependently affected a focal user’s innovation. To examine the interplay between the network structure and the neighbours’ innovation performance, we harnessed data sets from “Idea Storm”, which col- lects data on user network and idea submission. Through panel regression analyses, we found that—within an open-network structure—the higher innovation performance of neighbours has a larger positive impact on the focal user’s innovation ability. Conversely, in an enclosed network structure, neighbours’ higher performance has a larger negative impact on the focal user’s innovation ability. Our findings filled an important gap in understanding the interplay between the network structure and the neighbours’ performance in user innovation. More broadly, these results suggested that the interplay between the neighbours and the network structures merits attention that even goes beyond user innovation. 1 Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan. 2 Research Fellowship for Young Scientists (DC2), Japan Society for the Promotion of Science (JSPS), Tokyo, Japan. -
An Overview of Models of Distributed Innovation
An Overview of Models of Distributed Innovation Open Innovation, User Innovation and Social Innovation Garry Gabison and Annarosa Pesole 2014 20xx Report EUR 27035 EN European Commission Joint Research Centre Institute for Prospective Technological Studies Contact information Address: Edificio Expo. c/ Inca Garcilaso, 3. E-41092 Seville (Spain) E-mail: [email protected] Tel.: +34 954488318 Fax: +34 954488300 https://ec.europa.eu/jrc https://ec.europa.eu/jrc/en/institutes/ipts Legal Notice This publication is a Science and Policy Report by the Joint Research Centre, the European Commission’s in-house science service. It aims to provide evidence-based scientific support to the European policy-making process. The scientific output expressed does not imply a policy position of the European Commission. Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this publication. All images © European Union 2014 JRC93533 EUR 27035 EN ISBN 978-92-79-44720-4 (PDF) ISSN 1831-9424 (online) doi:10.2791/347145 Luxembourg: Publications Office of the European Union, 2014 © European Union, 2014 Reproduction is authorised provided the source is acknowledged. Abstract This report discusses models of distributed innovation and how they differ in their nature, effects, and origins. Starting from Open Innovation, the paper analyses its methodological evolution, some of its applications, and the opportunities to apply it in a social context. Open Innovation has gained traction in the last ten years and because of this popularity, Open Innovation has been endowed with numerous meanings. This paper dives into the large literature associated with Open Innovation. -
Curriculum Vitae February 17, 2021
Cyrus C. M. Mody Curriculum Vitae February 17, 2021 Employment: Full Professor, Chair in the History of Science, Technology, and Innovation, Maastricht University, 2015-present Associate Professor, Department of History, Rice University, 2014-2015 Assistant Professor, Department of History, Rice University, 2007-2014 Program Manager, Nanotechnology and Innovation Studies, Center for Contemporary History and Policy, Chemical Heritage Foundation, 2005-2007 Other affiliations: Fellow, Center for Contemporary History and Policy, Science History Institute (formerly Chemical Heritage Foundation), 2007-present External collaborator, Center for Nanotechnology in Society, University of California – Santa Barbara, 2005-2016 Rice Cultures of Energy Mellon/Sawyer Seminar participant, 2012-13/member of Rice Center for Energy and Environmental Research in the Human Sciences, 2013-2015 Degrees: Ph.D., Cornell University, in Science and Technology Studies, August 2004 M.A., Cornell University, in Science and Technology Studies, January 2001 A.B., Harvard University, (magna cum laude) in Engineering Sciences, June 1997 Fellowships and awards: (with Raphaël Lévy, Willem Halffman, and Cyril Labbé) European Research Council Synergy award NANOBUBBLES, project 951393, 2021-2026 Netherlands Organization for Scientific Research Vici grant, “Managing Scarcity and Sustainability: The Oil Industry, Environmentalism, and Alternative Energy in the Age of Scarcity,” VI.C.191.067, 2020-2025 (with Andrew Nelson) Distinguished Contribution to Electrotechnical History, -
Digital Innovation: a Review and Synthesis
Received: 14 December 2017 Revised: 28 January 2018 Accepted: 29 January 2018 DOI: 10.1111/isj.12193 RESEARCH ARTICLE Digital innovation: A review and synthesis Rajiv Kohli1 | Nigel P. Melville2 1 Raymond A. Mason School of Business, College of William & Mary, PO Box 8795, Abstract Williamsburg, VA, USA Organizations are under increasing pressure to apply digital technol- 2 Stephen M. Ross School of Business, ogies to renew and transform their business models. A great deal of University of Michigan, Ann Arbor, MI, USA research has examined specific phenomena, such as adoption ante- Correspondence cedents and design methods. However, it is unclear what we know Rajiv Kohli, Raymond A. Mason School of in totality, including what research streams exist, how they fit Business, College of William & Mary, PO Box 8795, Williamsburg, VA, USA. together, and fruitful opportunities for new knowledge develop- Email: [email protected] ment. We combine scientometric and systematic literature review methodologies to examine 7 dimensions of an adapted theoretical framework: initiation; development; implementation; exploitation; the role of the external competitive environment; role of internal organizational environment; and product, service, and process out- comes. From a macro perspective, we find vastly uneven coverage of research streams, diversity and diffusiveness of research, and knowledge and learning as an underlying conceptual pillar. Com- bined with our summary of each of the 7 research streams, these findings suggest several areas of future research, which we develop by identifying oppositions and tensions. KEYWORDS agency, digital, innovation, scientometrics 1 | INTRODUCTION Organizations are under increasing pressure to apply digital technologies to renew and transform their business models. -
Identifying Early Adopters for Emerging Digital Travel Services
Phocuswright White Paper Identifying Early Adopters for Emerging Digital Travel Services Written and Researched by Julien Beresford and Norm Rose Phocuswright White Paper: Identifying Early Adopters for Emerging Digital Travel Services January 2016 Phocuswright thanks Cognizant for Identifying Early Adopters for Emerging Digital Travel Services. Without their active support, this research would not have been possible. About Cognizant Travel & Hospitality A leader in travel and hospitality consulting, Cognizant has developed the Cognizant Travel Ribbon® as a tool to assist airlines and other indus- try players in broadening their thinking about when and how to engage with customers. Cognizant defines the Travel Ribbon by eight essential stages of the overall travel experience, including: 1) Inspiration, 2) Plan- ning, 3) Booking, 4) Purchase, 5) Pre-trip, 6) Departure, 7) In-flight and 8) Post-trip. Learn more at: http://www.cognizant.com/travel-hospitality and http://www.cognizant.com/InsightsWhitepapers/own-the-travel-rib- bon-for-ultimate-customer-engagement.pdf. Cognizant (NASDAQ: CTSH) is a leading provider of information technol- ogy, consulting, and business process out-sourcing services, dedicated to helping the world’s leading companies build stronger businesses. Head- quartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embod- ies the future of work. With over 100 development and delivery centers worldwide and approximately 219,300 employees as of September 30, 2015, Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world. -
Differences Between Early Adopters of Disruptive and Sustaining Innovations☆
Journal of Business Research 68 (2015) 137–145 Contents lists available at ScienceDirect Journal of Business Research Differences between early adopters of disruptive and sustaining innovations☆ Ronny Reinhardt ⁎, Sebastian Gurtner 1 Technische Universität Dresden, Department of Business and Economics, Chair for Entrepreneurship and Innovation, 01062 Dresden, Germany article info abstract Article history: The success of innovations strongly depends on knowledge about early adopters. Prior research helps to describe Received 25 April 2013 the characteristics of this important customer type. However, not distinguishing between different types of Received in revised form 14 April 2014 innovation and different types of early adopters bears substantial risk. This study investigates systematic Accepted 17 April 2014 differences and similarities between early adopters of disruptive innovations and early adopters of sustaining Available online 10 May 2014 innovations. The results from a heterogeneous sample of consumers (n = 849) suggest that significant Keywords: differences between these groups exist. Early adopters of disruptive innovations are more knowledgeable of New product adoption the product domain. In contrast, consumers who purchase sustaining innovations relatively early are more Consumer innovativeness involved in the product domain. Therefore, managers must address early adopters differently and differentiate Disruptive innovation their product development and marketing strategy in accordance with the type of innovation. Sustaining innovation © 2014 Elsevier Inc. All rights reserved. Structural equation modeling 1. Introduction the same as potential customers face an increasing risk of failure (Christensen & Bower, 1996). For example, BlackBerry customers Customer value, customer satisfaction, customization and many were satisfied with an integrated keyboard and initially rejected the other central management concepts have one joint premise — acquiring idea of touchscreens, because they were heavy users writing many knowledge about customers. -
Benefits of Early Adopter Feedback in Innovation Commercialisation
Benefits of Early Adopter Feedback in Innovation Commercialisation Final Report Dr Dilupa Nakandala Dr Hilal Hurriyet Dr Neil Perry 15 October 2020 School of Business Contact A/Prof Dilupa Nakandala for further information. Email: [email protected], Telephone: +61 2 9685 9477 To cite this report: Nakandala, D., Hurriyet, H., & Perry, N. (2020). Benefits of Early Adopter Feedback in Innovation Commercialisation. Western Sydney University. https://doi.org/10.26183/9z9w-cg67 2 About Western Sydney University Our Mission is to be a university of international standing and outlook, achieving excellence through scholarship, teaching, learning, research and service to local and international communities, beginning with the people of Greater Western Sydney. Gateway provides support for business, industry, community and government organisations: Website: https://www.westernsydney.edu.au/gateway Email: [email protected] Research and Engagement in the School of Business The School of Business is committed to conducting leading edge research, resulting in the creation of new knowledge that enriches our teaching, fosters social and economic outcomes and has relevance and importance locally, nationally and internationally. The School collaborates with industry, government, community groups and other universities to produce high quality applied research that generates economic, environmental and social benefits. 3 Acknowledgement This research was funded by the School of Business, Western Sydney University under the Priority Research Initiative (PRI) Grant Scheme. The project is part of the ‘Innovation, Technology and Supply Chain Management Research for Business Growth and Competitiveness (INTUIT)’ PRI program. We thank the Regional Development Australia - Sydney, Blacktown City Council, Penrith City Council, Cumberland City Council, and Goulburn Mulwaree Council for their support in connecting us with innovative firms. -
Different Paths to Achieve High Technological Innovation In
applied sciences Article Different Paths to Achieve High Technological Innovation in Clustered Firms: An Analysis of the y Spanish Ceramic Tile Industry Francesc Xavier Molina-Morales, Luis Martínez-Cháfer and David Valiente-Bordanova * Department of Business Administration and Marketing, Universitat Jaume I, 12071 Castelló de la Plana, Spain * Correspondence: [email protected]; Tel.: +34-618-584-403 This paper is an extended version of the working paper published in the XLIV International Conference of y Regional Science (ISBN: 978-84-09-05604-0), Valencia (Spain), 21–23 November 2018. Received: 17 July 2019; Accepted: 2 September 2019; Published: 6 September 2019 Abstract: This paper uncovers the different factors behind the high technological innovation performance of clustered firms. Moreover, we aim to investigate the necessary and sufficient conditions of factors to achieve innovative outcomes of clustered firms. This is done by analyzing the Spanish ceramic tile cluster and using a configurational comparative method, namely, fuzzy set qualitative comparative analysis (fsQCA). The results reveal the presence of equifinality, as there are diverse paths or combinations of factors that lead clustered firms to higher technological innovation performance. Additionally, early adoption of new technologies and a high absorptive capacity are included in most of the successful combinations of factors. Keywords: innovative performance; disruptive technological innovation; industrial clusters; technology adoption; absorptive capacity; fsQCA analysis 1. Introduction In recent decades, a growing amount of research has focused on innovation in territorial contexts like clusters and regions [1–3]. The intensive relationships in the local context, and the existence of different levels of resources at both systemic and individual firm levels [4], provide clustered firms with opportunities for innovation that may be difficult to benefit from in other different contexts. -
Characteristics, Motivation and Usage Behaviour of Tablet Computer Early Adopters, Early Majority and Late Majority
Characteristics, motivation and factors influencing tablet computer early adopters and early majority Name of student: Slavina Velinova; Programme: BA Advertising and Marketing Communications; Year of Study: 3; Mentored by: Dr Klairoong Hawa Phairor Abstract The integration of the popular innovation diffusion theory and the recent tablet computers adoption process has not yet been covered in an academic study. This research aims to provide insight into the characteristics and motivations of two tablet computer consumer segments among business students in UK: early adopters and early majority. It also investigates the factors influencing their behaviour in order to gain understanding how the chasm between these segments can be overcome. This article used interpretivism as a research paradigm and induction as a research approach. It utilised theoretical analysis of the characteristics, motivation and factors influencing tablet computer of early adopters and early majority. The research was designed as an exploratory case study with elements of descriptive research, whilst the data were collected through desk research and in-depth interviews. The findings show that early adopters carry the traits of 'experiencers' and 'innovators', whereas early majority possesses the traits of 'strivers' and 'achievers' according to VALS TM classification. Key words: early adoption of technology, tablet computers, early adopters, early majority, Maslow’s hierarchy of needs, consumer psychographic types 0 Introduction The tablet computer market was created when Apple’s iPad was launched onto the mass market and quickly gained momentum and experienced fast growth.Recent research showed that tablet computer ownership among Internet users has increased to 13% in January 2012 (Mintel Oxygen 2012) and the number of Internet users who intend to purchase a tablet has risen to 24% in December 2011 (Mintel Oxygen 2011b), putting this fast growing market on a critical threshold between early adopters and early majority in the new technology diffusion process.