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Technology Adoption in Critical Mass Games: Theory and Experimental Evidence

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  • Claudia Keser
  • Irina Suleymanova
  • Christian Wey

Abstract

We analyze the choices between two technologies A and B that both exhibit network effects. We introduce a critical mass game in which coordination on either one of the standards constitutes a Nash equilibrium outcome while coordination on standard B is assumed to be payoff-dominant. We present a heuristic definition of a critical mass and show that the critical mass is inversely related to the mixed strategy equilibrium. We show that the critical mass is closely related to the risk dominance criterion, the global game theory, and the maximin criterion. We present experimental evidence that both the relative degree of payoff dominance and risk dominance explain players' choices. We finally show that users' adoption behavior induces firms to select a relatively unrisky technology which minimizes the problem of coordination failure to the benefit of consumers.

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Bibliographic Info

Paper provided by DIW Berlin, German Institute for Economic Research in its series Discussion Papers of DIW Berlin with number 961.

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Length: 40 p.
Date of creation: 2009
Date of revision:
Handle: RePEc:diw:diwwpp:dp961

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  1. Farrell, Joseph & Klemperer, Paul, 2006. "Coordination and Lock-In: Competition with Switching Costs and Network Effects," Competition Policy Center, Working Paper Series qt9n26k7v1, Competition Policy Center, Institute for Business and Economic Research, UC Berkeley.
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  7. Selten,Reinhard, . "An axiomatic theory of a risk dominance measure for bipolar games with linear incentives," Discussion Paper Serie B 252, University of Bonn, Germany.
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  17. Keser, Claudia & Suleymanova, Irina & Wey, Christian, 2012. "Technology adoption in markets with network effects: Theory and experimental evidence," Information Economics and Policy, Elsevier, vol. 24(3), pages 262-276.
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Cited by:
  1. Gu, Yiquan & Wenzel, Tobias, 2012. "Transparency, entry, and productivity," Economics Letters, Elsevier, vol. 115(1), pages 7-10.
  2. Haucap, Justus & Herr, Annika & Frank, Björn, 2011. "In vino veritas: Theory and evidence on social drinking," DICE Discussion Papers 37, Heinrich‐Heine‐Universität Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  3. Keser, Claudia & Suleymanova, Irina & Wey, Christian, 2012. "Technology adoption in markets with network effects: Theory and experimental evidence," Information Economics and Policy, Elsevier, vol. 24(3), pages 262-276.
  4. Christin, Clémence, 2011. "Entry deterrence through cooperative R&D over-investment," DICE Discussion Papers 38, Heinrich‐Heine‐Universität Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  5. Stühmeier, Torben & Wenzel, Tobias, 2012. "Regulating advertising in the presence of public service broadcasting," DICE Discussion Papers 41, Heinrich‐Heine‐Universität Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

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