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The evolution of innovation networks: The case of a German automotive network

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  • Buchmann, Tobias
  • Pyka, Andreas

Abstract

In this paper we outline a conceptual framework for depicting network development patterns of interfirm innovation networks and for analyzing the dynamic evolution of an R&D network in the German automotive industry. We test the drivers of evolutionary change processes of a network which is based on subsidised R&D projects in the 10 year period between 1998 and 2007. For this purpose a stochastic actor-based model is applied to estimate the impact of various drivers of network change. We test hypotheses in the innovation and evolutionary economics framework and show that structural positions of firms as well as actor covariates and dyadic covariates are influential determinants of network evolution.

Suggested Citation

  • Buchmann, Tobias & Pyka, Andreas, 2013. "The evolution of innovation networks: The case of a German automotive network," FZID Discussion Papers 70-2013, University of Hohenheim, Center for Research on Innovation and Services (FZID).
  • Handle: RePEc:zbw:fziddp:702013
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    References listed on IDEAS

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    1. Schön, Benjamin & Pyka, Andreas, 2012. "A taxonomy of innovation networks," FZID Discussion Papers 42-2012, University of Hohenheim, Center for Research on Innovation and Services (FZID).
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    Cited by:

    1. Johannes Van Der Pol & Jean-Paul Rameshkoumar & David Virapin & Bernard Zozime, 2014. "A preminary analysis of knowledge flows: The case of structural composite materials in aeronautics," Working Papers hal-01284991, HAL.
    2. repec:spr:scient:v:114:y:2018:i:1:d:10.1007_s11192-017-2579-4 is not listed on IDEAS
    3. repec:spr:scient:v:102:y:2015:i:3:d:10.1007_s11192-014-1508-z is not listed on IDEAS
    4. Buchmann, Tobias & Hain, Daniel & Kudic, Muhamed & Müller, Matthias, 2014. "Exploring the Evolution of Innovation Networks in Science-driven and Scale-intensive Industries: New Evidence from a Stochastic Actor-based Approach," IWH Discussion Papers 1/2014, Halle Institute for Economic Research (IWH).

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