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The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business

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  • Kevin Zhu

    () (The Paul Merage School of Business, University of California, Irvine, California 92697-3125)

  • Kenneth L. Kraemer

    () (The Paul Merage School of Business, University of California, Irvine, California 92697-3125)

  • Sean Xu

    () (The Paul Merage School of Business, University of California, Irvine, California 92697-3125)

Abstract

This paper extends our previous studies on the assimilation of Internet-based e-business innovations by firms in an international setting. Drawing upon theories on the process and contexts of technology diffusion, we develop an integrative model to examine three assimilation stages: initiation -> adoption -> routinization. The model features technological, organizational, and environmental contexts as prominent antecedents of this three-stage assimilation process. Based on this model, we hypothesize how technology readiness, technology integration, firm size, global scope, managerial obstacles, competition intensity, and regulatory environment influence e-business assimilation at the firm level. A unique data set of 1,857 firms from 10 countries is used to test the conceptual model and hypotheses. To probe deeper into the influence of the environmental context, we compare two subsamples from developed and developing countries. Our empirical analysis leads to several key findings: (1) Competition positively affects initiation and adoption, but negatively impacts routinization, suggesting that too much competition is not necessarily good for technology assimilation because it drives firms to chase the latest technologies without learning how to use existing ones effectively. (2) Large firms tend to enjoy resource advantages at the initiation stage, but have to overcome structural inertia in later stages. (3) We also find that economic environments shape innovation assimilation: Regulatory environment plays a more important role in developing countries than in developed countries. Moreover, while technology readiness is the strongest factor facilitating assimilation in developing countries, technology integration turns out to be the strongest in developed countries, implying that as e-business evolves, the key determinant of its assimilation shifts from accumulation to integration of technologies. Together, these findings offer insights into how innovation assimilation is influenced by contextual factors, and how the effects may vary across different stages and in different environments.

Suggested Citation

  • Kevin Zhu & Kenneth L. Kraemer & Sean Xu, 2006. "The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business," Management Science, INFORMS, vol. 52(10), pages 1557-1576, October.
  • Handle: RePEc:inm:ormnsc:v:52:y:2006:i:10:p:1557-1576
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    File URL: http://dx.doi.org/10.1287/mnsc.1050.0487
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    References listed on IDEAS

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    1. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, Oxford University Press, vol. 117(1), pages 339-376.
    2. Sanjeev Dewan & Kenneth L. Kraemer, 2000. "Information Technology and Productivity: Evidence from Country-Level Data," Management Science, INFORMS, vol. 46(4), pages 548-562, April.
    3. Subhasish Dasgupta & Devraj Agarwal & Anthony Ioannidis & Shanthi Gopalakrishnan, 1999. "Determinants of Information Technology Adoption: An Extension of Existing Models to Firms in a Developing Country," Journal of Global Information Management (JGIM), IGI Global, vol. 7(3), pages 30-40, July.
    4. Arthur M. Geoffrion & Ramayya Krishnan, 2003. "E-Business and Management Science: Mutual Impacts (Part 1 of 2)," Management Science, INFORMS, vol. 49(10), pages 1275-1286, October.
    5. Vijay Sethi & William R. King, 1994. "Development of Measures to Assess the Extent to Which an Information Technology Application Provides Competitive Advantage," Management Science, INFORMS, vol. 40(12), pages 1601-1627, December.
    6. Philip M. Rosenzweig, 1994. "When Can Management Science Research Be Generalized Internationally?," Management Science, INFORMS, vol. 40(1), pages 28-39, January.
    7. E. Burton Swanson, 1994. "Information Systems Innovation Among Organizations," Management Science, INFORMS, vol. 40(9), pages 1069-1092, September.
    8. Sarv Devaraj & Rajiv Kohli, 2003. "Performance Impacts of Information Technology: Is Actual Usage the Missing Link?," Management Science, INFORMS, vol. 49(3), pages 273-289, March.
    9. Robert W. Zmud, 1982. "Diffusion of Modern Software Practices: Influence of Centralization and Formalization," Management Science, INFORMS, vol. 28(12), pages 1421-1431, December.
    10. Luis Garicano & Steven N. Kaplan, 2001. "The Effects of Business-to-Business E-Commerce on Transaction Costs," NBER Chapters,in: E-commerce, pages 463-485 National Bureau of Economic Research, Inc.
    11. Randolph B. Cooper & Robert W. Zmud, 1990. "Information Technology Implementation Research: A Technological Diffusion Approach," Management Science, INFORMS, vol. 36(2), pages 123-139, February.
    12. Arthur M. Geoffrion & Ramayya Krishnan, 2003. "E-Business and Management Science: Mutual Impacts (Part 2 of 2)," Management Science, INFORMS, vol. 49(11), pages 1445-1456, November.
    13. Teece, David J., 1980. "Economies of scope and the scope of the enterprise," Journal of Economic Behavior & Organization, Elsevier, vol. 1(3), pages 223-247, September.
    14. Fariborz Damanpour, 1996. "Organizational Complexity and Innovation: Developing and Testing Multiple Contingency Models," Management Science, INFORMS, vol. 42(5), pages 693-716, May.
    15. Kevin Zhu, 2004. "Information Transparency of Business-to-Business Electronic Markets: A Game-Theoretic Analysis," Management Science, INFORMS, vol. 50(5), pages 670-685, May.
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