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Evolving networks of inventors

  • R. Cowan

    ()

  • N. Jonard

    ()

  • J.-B. Zimmermann

    ()

In this paper a model for the formation of strategic alliances is studied. Innovation results from the recombination of knowledge held by the partners to the collaboration, and from the history of their collaboration. Innovation brings partners closer together, while at the same time the repetition of partnerships fosters trust and helps improving the outcome of each round of cooperation. A tension exists between innovating with people I know in order to reduce uncertainty at the expense of the net benefit fromour joint effort, and innovating with strangers with whom the outcome of joint innovation can be greater but at a larger risk of failure. This “organized proximity”, built through the experience of cooperation, can be at the origin of strongly structured networks of innovation, where agents’ relations focus on limited cliques of partners. (JEL Classification: L14, Z13, O3, Keywords: Networks, Innovation, Network Formation, Knowledge)

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File URL: http://hdl.handle.net/10.1007/s00191-005-0013-1
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Article provided by Springer in its journal Journal of Evolutionary Economics.

Volume (Year): 16 (2006)
Issue (Month): 1 (April)
Pages: 155-174

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Handle: RePEc:spr:joevec:v:16:y:2006:i:1:p:155-174
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  1. Martin L. Weitzman, 1998. "Recombinant Growth," The Quarterly Journal of Economics, MIT Press, vol. 113(2), pages 331-360, May.
  2. Goyal, Sanjeev & Joshi, Sumit, 2003. "Networks of collaboration in oligopoly," Games and Economic Behavior, Elsevier, vol. 43(1), pages 57-85, April.
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  9. Franck Plouraboue & Alexandre Steyer & Jean-Benoit Zimmermann, 1998. "Learing Induced Criticality In Consumers' Adoption Pattern: A Neural Network Approach," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 6(1), pages 73-90.
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