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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. Anne Ter Wal & Ron Boschma, 2009. "Applying social network analysis in economic geography: framing some key analytic issues," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(3), pages 739-756, September.
    2. 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 Pol & Jean-Paul Rameshkoumar, 2018. "The co-evolution of knowledge and collaboration networks: the role of the technology life-cycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 307-323, January.
    2. Na Liu & Jiancheng Guan, 2015. "Dynamic evolution of collaborative networks: evidence from nano-energy research in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 1895-1919, March.
    3. 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).
    4. Johannes VAN DER POL & Jean Paul RAMESHKOUMAR, 2016. "The co-evolution of knowledge and collaboration networks: The role of technology life-cycle in Structural Composite Materials," Cahiers du GREThA (2007-2019) 2016-25, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    5. 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.

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