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Article

Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies

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Pages 601-616
Received 28 Nov 2005
Accepted 16 Oct 2006
Published online: 19 Dec 2017
 

Abstract

Grounded in the diffusion of innovation theory and the technology–organization–environment framework, we develop an integrative model to study the determinants of post-adoption stages of innovation diffusion, using enterprise digital transformation as an example of technology-enabled innovations. We specify four innovation characteristics (relative advantage, compatibility, costs and security concern) and four contextual factors (technology competence, organization size, competitive pressure and partner readiness) as determinants of post-adoption usage, and postulate usage as an intermediate link to impact on firm performance. We test the proposed model using a dataset of 1415 companies from six European countries. We find that the innovation needs to be used extensively in value-chain activities before its impact can be realized. Among the innovation characteristics, we find that compatibility is the strongest driver, and security concern outweighs cost as a usage inhibitor. Among the contextual variables, technology competence, partner readiness and competitive pressure significantly drive e-business usage, and the structural inertia of large firms tends to slow down its penetration. Collectively, these results indicate that innovation diffusion can be better understood by including both innovation characteristics and contextual factors, whereas earlier literature has traditionally treated the two separately. Finally, we evaluate an international dimension among European countries and tease out important boundary conditions that would not have been evident in a single-country dataset. Our results show that careful attention must be paid to the economic and regulatory factors that may result in uneven innovation diffusion even among developed European countries.

Acknowledgements

We gratefully acknowledge the helpful comments of reviewers and editors of the journal, whose suggestions greatly improved the structure and clarity of the article. Data were provided by Empirica, GmbH, Bonn, Germany. This research has been supported by grants from the U.S. National Science Foundation and by the European Commission. Kevin Zhu acknowledges the support of CAREER award from the U.S. National Science Foundation. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or the European Commission.

Additional information

Notes on contributors

Kevin Zhu

About the authors
Kevin Zhu received his Ph.D. from Stanford University, and is currently a tenured faculty member in the Rady School of Management, University of California, San Diego, U.S.A. His research focuses on innovation diffusion, technology adoption in global environments, IT standards and network effects, economic impacts of technology on firms/industries, information transparency in electronic markets and real options for technology investment. His research methodology involves both empirical analysis and analytical modeling. His work has been published in Management Science, Information Systems Research, MIS Quarterly, Decision Sciences and the European Journal of Information Systems, as well as a new book Global E-Commerce (Cambridge University Press, 2006). Along with his coauthors, he has won two Best Paper Awards of the International Conference on Information Systems (ICIS). He has also received the prestigious CAREER (Faculty Early Career Development) Award from the U.S. National Science Foundation with a grant of $377,000 to study digital transformation of enterprises. He was the recipient of an MBA Teaching Award of the University of California and the Academic Achievement Award of Stanford University.

Shutao Dong

Shutao Dong is currently a Ph.D. candidate in IS at the Paul Merage School of Business, University of California, Irvine. His doctoral dissertation is co-chaired by Professors Kevin Zhu and Ken Kraemer. He received his master degree in Technological Economics (2001) and bachelor degree in Management Information Systems (1999) from Tsinghua University, Beijing. His research focuses on business value of customer relationship management systems, using the resource-based view (RBV) and the economic perspectives. He has also been conducting research on firms' assimilation and value creation of e-business and interorganizational systems based on innovation diffusion theory, the RBV and other theories. His further research interests include IT governance and IT-enabled business process integration.

Sean Xin Xu

Sean Xin Xu received his Ph.D. from the University of California, Irvine. His current research interests include economics of IS diffusion, interorganizational systems and governance structure, and impacts of electronic networks on firm performance. His work has been published or accepted in MIS Quarterly, Journal of MIS, and European Journal of Information Systems. He was the recipient, with his coauthors, of two Best Paper Awards at the International Conference on Information Systems (ICIS), 2002 and 2003, and a Best Paper Award (International Track) at the 2004 Americas Conference on Information Systems (AMCIS). He was the winner of an international doctoral research competition sponsored by SAP and the eBusiness Research Center at the Penn State University.

Kenneth L Kraemer

Kenneth L. Kraemer is Professor of IS and Director of the Center for Research on IT and Organizations at the Paul Merage School of Business, University of California, Irvine. His research interests include the social implications of IT, national policies for IT production and use (Asia's Computer Challenge, Oxford 1998), and the contributions of IT to productivity and economic development. His recent book is Global E-Commerce (Cambridge University Press, 2006). He is starting a new study of the offshoring of knowledge work.

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