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The Installed Base Effect: Some Empirical Evidence From The Microcomputer Market

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  • Heli Koski

Abstract

The penetration rate US network technologies is not only determined by the indigenous qualities of these technologies, but also by the adoption behaviour of other actors using the same network technology. This paper provides empirical evidence for the importance of network externalities and suggests that the econonmic consequences of network externalities - as they affect the diffusion speed of network technologies at an aggregate level - may be considerable.When the market offers incompatible network technologies, the relative share of previous adopters of the technologies plays a critical role in determining the diffusion speed of network technologies. This paper provides empirical evidence from the European microcomputer market between 1985 and 1994 which supports this hypothesis. Our analysis suggests that the diffusion speed of microcomputers at an aggregate level has varied with the relative order of magnitude of the network size of the two incompatible operating systems: a higher variation between the number of users of different microcomputers sold is positively relaled to a higher diffusion speed of microcomputers in general.

Suggested Citation

  • Heli Koski, 1999. "The Installed Base Effect: Some Empirical Evidence From The Microcomputer Market," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 8(4), pages 273-310.
    • Handle: RePEc:taf:ecinnt:v:8:y:1999:i:4:p:273-310
    DOI: 10.1080/10438599900000012
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    References listed on IDEAS

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    1. Timothy F. Bresnahan & Scott Stern & Manuel Trajtenberg, 1995. "Market Segmentation and the Sources of Rents from Innovation: Personal Computers in the Late 1980s," Working Papers 95001, Stanford University, Department of Economics.
    2. Neil Gandal & Shane Greenstein & David Salant, 1999. "Adoptions and Orphans in the Early Microcomputer Market," Journal of Industrial Economics, Wiley Blackwell, vol. 47(1), pages 87-105, March.
    3. Nicholas Economides & Charles Himmelberg, 1995. "Critical Mass and Network Size with Application to the US Fax Market," Working Papers 95-11, New York University, Leonard N. Stern School of Business, Department of Economics.
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    Citations

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    Cited by:

    1. A. Bassanini & G. Dosi, 1998. "Competing Technologies, International Diffusion and the Rate of Convergence to a Stable Market Structure," Working Papers ir98012, International Institute for Applied Systems Analysis.
    2. Laura Ferrari Bravo & Paolo Siciliani, 2007. "Exclusionary Pricing And Consumers Harm: The European Commission'S Practice In The Dsl Market," Journal of Competition Law and Economics, Oxford University Press, vol. 3(2), pages 243-279.
    3. Belleflamme,Paul & Peitz,Martin, 2015. "Industrial Organization," Cambridge Books, Cambridge University Press, number 9781107687899, January.
    4. Kretschmer, Tobias, 2004. "Upgrading and niche usage of PC operating systems," International Journal of Industrial Organization, Elsevier, vol. 22(8-9), pages 1155-1182, November.
    5. Nicoletta Corrocher & Roberto Fontana, 2008. "Expectations, network effects and timing of technology adoption: some empirical evidence from a sample of SMEs in Italy," Small Business Economics, Springer, vol. 31(4), pages 425-441, December.
    6. Heli Koski & Tobias Kretschmer, 2004. "Entry, Standards and Competition: Firm Strategies and the Diffusion of Mobile Telephony," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 26(1), pages 89-113, November.
    7. Koski, Heli, 2000. "Regulators and Competition Spurring or Retarding Innovation in the Telecommunications Sector?," Discussion Papers 724, The Research Institute of the Finnish Economy.
    8. Koski, Heli & Kässi, Otto & Braesemann, Fabian, 2020. "Killers on the Road of Emerging Start-ups – Implications for Market Entry and Venture Capital Financing," ETLA Working Papers 81, The Research Institute of the Finnish Economy.
    9. Joachim Henkel & Jörn Block, 2013. "Peer influence in network markets: a theoretical and empirical analysis," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 925-953, November.
    10. Leonhard Dobusch & Elke Schüßler, 2013. "Theorizing path dependence: a review of positive feedback mechanisms in technology markets, regional clusters, and organizations," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 22(3), pages 617-647, June.
    11. Heli Koski & Tobias Kretschmer, 2004. "Survey on Competing in Network Industries: Firm Strategies, Market Outcomes, and Policy Implications," Journal of Industry, Competition and Trade, Springer, vol. 4(1), pages 5-31, March.
    12. Koski, Heli, 2000. "Feedback Mechanisms in the Evolution of Networks: The Installed User Base and Innovation in the Communications Sector," Discussion Papers 725, The Research Institute of the Finnish Economy.

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    More about this item

    Keywords

    Network externalities; Installed base of users; Timing of adoption; Compatibility JEL Classification: O33; O52; L63;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment

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