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Competing in network markets: Can the winner take all?

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  • McIntyre, David P.
  • Chintakananda, Asda

Abstract

Products as varied as software, credit cards, and even coffee makers are influenced by network effects whereby the product's value is contingent upon the number of people using it. In turn, markets for these products offer lucrative returns to managers who can leverage the dynamics in their favor. This article describes recent research focusing on the factors that influence success and failure in network markets. We offer recommendations and initiatives that increase the likelihood of success in network markets for entrepreneurs and incumbents alike.

Suggested Citation

  • McIntyre, David P. & Chintakananda, Asda, 2014. "Competing in network markets: Can the winner take all?," Business Horizons, Elsevier, vol. 57(1), pages 117-125.
    • Handle: RePEc:eee:bushor:v:57:y:2014:i:1:p:117-125
    DOI: 10.1016/j.bushor.2013.09.005
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    References listed on IDEAS

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    Cited by:

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    2. Oke Chr. Beckmann & Susanne Royer, 2016. "Business Models and the Impact of Different Market Contexts: Towards an analytical framework for researchers and practitioners," Danish-German Working Papers 005, Europa-Universität Flensburg, International Institute of Management (IIM);University of Southern Denmark, Department of Border Region Studies (IFG).
    3. Cenamor, Javier, 2021. "Complementor competitive advantage: A framework for strategic decisions," Journal of Business Research, Elsevier, vol. 122(C), pages 335-343.
    4. Asimakopoulos, Grigorios & Whalley, Jason, 2017. "Market leadership, technological progress and relative performance in the mobile telecommunications industry," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 57-67.
    5. Kazakova, E. & Sandomirskaia, M. & Suvorov, A. & Khazhgerieva, A. & Shavshin, R., 2023. "Platforms, online labor markets, and crowdsourcing. Part 1. Traditional online labor market," Journal of the New Economic Association, New Economic Association, vol. 60(3), pages 120-148.
    6. Stefano Balietti & Brennan Klein & Christoph Riedl, 2021. "Optimal design of experiments to identify latent behavioral types," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 772-799, September.

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