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Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry

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  • Kevin Zhu

    (Graduate School of Management, University of California, Irvine, California 92697-3125)

  • Kenneth L. Kraemer

    (Center for Research on Information Technology and Organizations, University of California, Irvine, California 92697-4650)

Abstract

Grounded in the innovation diffusion literature and the resource-based theory, this paper develops an integrative research model for assessing the diffusion and consequence of e-business at the firm level. Unlike the typical focus on adoption as found in the literature, we focus on postadoption stages, that is, actual usage and value creation. The model thus moves beyond dichotomous “adoption versus nonadoption” and accounts for the “missing link”—actual usage—as a critical stage of value creation. The model links technological, organizational, and environmental factors to e-business use and value, based on which a series of hypotheses are developed. The theoretical model is tested by using structural equation modeling on a dataset of 624 firms across 10 countries in the retail industry. To probe deeper into whether e-business use and value are influenced by economic environments, two subsamples from developed and developing countries are compared. The study finds that technology competence, firm size, financial commitment, competitive pressure, and regulatory support are important antecedents of e-business use. In addition, the study finds that, while both front-end and back-end capabilities contribute to e-business value, back-end integration has a much stronger impact. While front-end functionalities are becoming commodities, e-businesses are more differentiated by back-end integration. This is consistent with the resource-based theory because back-end integration possesses the value-creating characteristics of resources (e.g., firm specific, difficult to imitate), which are strengthened by the Internet-enabled connectivity. Our study also adds an international dimension to the innovation diffusion literature, showing that careful attention must be paid to the economic and regulatory factors that may affect technology diffusion across different countries.

Suggested Citation

  • Kevin Zhu & Kenneth L. Kraemer, 2005. "Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry," Information Systems Research, INFORMS, vol. 16(1), pages 61-84, March.
  • Handle: RePEc:inm:orisre:v:16:y:2005:i:1:p:61-84
    DOI: 10.1287/isre.1050.0045
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    1. Izak Benbasat & Ron Weber, 1996. "Research Commentary: Rethinking “Diversity” in Information Systems Research," Information Systems Research, INFORMS, vol. 7(4), pages 389-399, December.
    2. Francesco Caselli & Wilbur John Coleman, 2001. "Cross-Country Technology Diffusion: The Case of Computers," American Economic Review, American Economic Association, vol. 91(2), pages 328-335, May.
    3. N. Venkatraman & Akbar Zaheer, 1990. "Electronic Integration and Strategic Advantage: A Quasi-Experimental Study in the Insurance Industry," Information Systems Research, INFORMS, vol. 1(4), pages 377-393, December.
    4. Robert G. Fichman & Chris F. Kemerer, 1997. "The Assimilation of Software Process Innovations: An Organizational Learning Perspective," Management Science, INFORMS, vol. 43(10), pages 1345-1363, October.
    5. 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.
    6. Lorin M. Hitt, 1999. "Information Technology and Firm Boundaries: Evidence from Panel Data," Information Systems Research, INFORMS, vol. 10(2), pages 134-149, June.
    7. Pohjola, Matti (ed.), 2001. "Information Technology, Productivity, and Economic Growth: International Evidence and Implications for Economic Development," OUP Catalogue, Oxford University Press, number 9780199243983.
    8. Joanne E Oxley & Bernard Yeung, 2001. "E-Commerce Readiness: Institutional Environment and International Competitiveness," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 32(4), pages 705-723, December.
    9. Kevin Zhu & Kenneth L. Kraemer, 2002. "e-Commerce Metrics for Net-Enhanced Organizations: Assessing the Value of e-Commerce to Firm Performance in the Manufacturing Sector," Information Systems Research, INFORMS, vol. 13(3), pages 275-295, September.
    10. 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.
    11. Narayan S. Umanath & Terry L. Campbell, 1994. "Differential Diffusion of Information Systems Technology in Multinational Enterprises: A Research Model," Information Resources Management Journal (IRMJ), IGI Global, vol. 7(1), pages 6-19, January.
    12. Anitesh Barua & Charles H. Kriebel & Tridas Mukhopadhyay, 1995. "Information Technologies and Business Value: An Analytic and Empirical Investigation," Information Systems Research, INFORMS, vol. 6(1), pages 3-23, March.
    13. Kraemer, Kenneth L. & Dedrick, Jason, 1994. "Payoffs from investment in information technology: Lessons from the Asia-Pacific region," World Development, Elsevier, vol. 22(12), pages 1921-1931, December.
    14. Philip M. Rosenzweig, 1994. "When Can Management Science Research Be Generalized Internationally?," Management Science, INFORMS, vol. 40(1), pages 28-39, January.
    15. E. Burton Swanson, 1994. "Information Systems Innovation Among Organizations," Management Science, INFORMS, vol. 40(9), pages 1069-1092, September.
    16. 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.
    17. Sirkka L. Jarvenpaa & Dorothy E. Leidner, 1998. "An Information Company in Mexico: Extending the Resource-Based View of the Firm to a Developing Country Context," Information Systems Research, INFORMS, vol. 9(4), pages 342-361, December.
    18. 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.
    19. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    20. 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.
    21. Milgrom, Paul & Roberts, John, 1990. "The Economics of Modern Manufacturing: Technology, Strategy, and Organization," American Economic Review, American Economic Association, vol. 80(3), pages 511-528, June.
    22. Fariborz Damanpour, 1996. "Organizational Complexity and Innovation: Developing and Testing Multiple Contingency Models," Management Science, INFORMS, vol. 42(5), pages 693-716, May.
    23. Detmar W. Straub & Donna L. Hoffman & Bruce W. Weber & Charles Steinfield, 2002. "Toward New Metrics for Net-Enhanced Organizations," Information Systems Research, INFORMS, vol. 13(3), pages 227-238, September.
    24. 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.
    25. Sanjeev Dewan & Steven C. Michael & Chung-ki Min, 1998. "Firm Characteristics and Investments in Information Technology: Scale and Scope Effects," Information Systems Research, INFORMS, vol. 9(3), pages 219-232, September.
    26. Kathy A. Stewart & Albert H. Segars, 2002. "An Empirical Examination of the Concern for Information Privacy Instrument," Information Systems Research, INFORMS, vol. 13(1), pages 36-49, March.
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