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Adoption of e-business: patterns and consequences of network externalities

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  • Schade, Christian
  • Köllinger, Philipp

Abstract

The paper analyzes the adoption of various e-business technologies. Strong empirical evidence is found for the existence of increasing returns to adoption due to indirect network externalities between related technologies. If a company is close to the technological frontier, its probability of adoption increases. The empirical analysis is based on more than 5,000 observations from a cross-sectional European enterprise survey conducted in June 2002. A classification and regression tree (CART) is used to illustrate technological complementarities and their effect for the adoption probability of a firm.

Suggested Citation

  • Schade, Christian & Köllinger, Philipp, 2004. "Adoption of e-business: patterns and consequences of network externalities," Papers 2004,05, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
  • Handle: RePEc:zbw:caseps:200405
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    References listed on IDEAS

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    1. Stoneman, Paul & Kwon, Myung-Joong, 1994. "The Diffusion of Multiple Process Technologies," Economic Journal, Royal Economic Society, vol. 104(423), pages 420-431, March.
    2. Stoneman, P L, 1985. "Technological Diffusion : The Viewpoint of Economic Theory," The Warwick Economics Research Paper Series (TWERPS) 270, University of Warwick, Department of Economics.
    3. Stephen D. Oliner & Daniel E. Sichel, 2000. "The Resurgence of Growth in the Late 1990s: Is Information Technology the Story?," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 3-22, Fall.
    4. Nicholas Economides, 1997. "The Economics of Networks," Brazilian Electronic Journal of Economics, Department of Economics, Universidade Federal de Pernambuco, vol. 1(0), December.
    5. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    6. William D. Nordhaus, 2002. "Productivity Growth and the New Economy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 211-265.
    7. Dale W. Jorgenson, 2001. "Information Technology and the U.S. Economy," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 5(1), pages 3-34.
    8. Erik Brynjolfsson & Lorin M. Hitt, 2003. "Computing Productivity: Firm-Level Evidence," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 793-808, November.
    9. Church, Jeffrey & Gandal, Neil, 1993. "Complementary network externalities and technological adoption," International Journal of Industrial Organization, Elsevier, vol. 11(2), pages 239-260, June.
    10. Hall, Bronwyn H. & Khan, Beethika, 2003. "Adoption of New Technology," Department of Economics, Working Paper Series qt3wg4p528, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    11. Shy, Oz, 1996. "Technology revolutions in the presence of network externalities," International Journal of Industrial Organization, Elsevier, vol. 14(6), pages 785-800, October.
    12. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    13. Colombo, Massimo G & Mosconi, Rocco, 1995. "Complementarity and Cumulative Learning Effects in the Early Diffusion of Multiple Technologies," Journal of Industrial Economics, Wiley Blackwell, vol. 43(1), pages 13-48, March.
    14. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    15. Massoud Karshenas & Paul L. Stoneman, 1993. "Rank, Stock, Order, and Epidemic Effects in the Diffusion of New Process Technologies: An Empirical Model," RAND Journal of Economics, The RAND Corporation, vol. 24(4), pages 503-528, Winter.
    16. Ruttan, Vernon W, 1997. "Induced Innovation, Evolutionary Theory and Path Dependence:," Economic Journal, Royal Economic Society, vol. 107(444), pages 1520-1529, September.
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    More about this item

    Keywords

    Technology Adoption; Path Dependence; Classification Trees;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • L29 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Other
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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