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Technological standards with local externalities and decentralized behaviour

Author

Listed:
  • John H. Miller

    (Department of Social and Decision Sciences, Carnegie Mellon University, Porter Hall 208, Pittsburgh, PA 15213, USA)

  • Robin Cowan

    (Economics Department, University of Western Ontario, London, Ontario N6A 5C2, Canada)

Abstract

We model a situation in which agents must choose between two technologies that operate under local, positive network externalities. We find that decentralized behaviour can lead to the emergence of a technical standard, but can also result in a variety of other equilibria. Policy to eliminate non-standardized equilibria can be effected, but in some cases it may be very costly.

Suggested Citation

  • John H. Miller & Robin Cowan, 1998. "Technological standards with local externalities and decentralized behaviour," Journal of Evolutionary Economics, Springer, vol. 8(3), pages 285-296.
  • Handle: RePEc:spr:joevec:v:8:y:1998:i:3:p:285-296
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. Schade, Sven & Buxmann, Peter, 2005. "A Prototype to Analyse and Support Standardization Decisions," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 35795, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Giovanni Pegoretti & Francesco Rentocchini & Giuseppe Vittucci Marzetti, 2012. "An agent-based model of innovation diffusion: network structure and coexistence under different information regimes," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(2), pages 145-165, October.
    5. Eocman Lee & Jeho Lee & Jongseok Lee, 2006. "Reconsideration of the Winner-Take-All Hypothesis: Complex Networks and Local Bias," Management Science, INFORMS, vol. 52(12), pages 1838-1848, December.
    6. Liangjie Zhao & Wenqi Duan, 2014. "Simulating the Evolution of Market Shares: The Effects of Customer Learning and Local Network Externalities," Computational Economics, Springer;Society for Computational Economics, vol. 43(1), pages 53-70, January.
    7. Corrocher, Nicoletta & Zirulia, Lorenzo, 0. "Me and you and everyone we know: An empirical analysis of local network effects in mobile communications," Telecommunications Policy, Elsevier, vol. 33(1-2), pages 68-79, February.
    8. 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.
    9. Wegberg Marc van, 2003. "The grand coalition versus competing coalitions: trade-offs in how to standardize," Research Memorandum 032, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    10. Babutsidze, Zakaria & Cowan, Robin, 2009. "Inertia, Interaction and Clustering in Demand," MERIT Working Papers 045, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

    More about this item

    Keywords

    Local complementarities ; Technology choice ; Standardization;

    JEL classification:

    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • D2 - Microeconomics - - Production and Organizations
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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