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The evolution of innovation networks: the case of a publicly funded German automotive network

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  • Tobias Buchmann
  • Andreas Pyka

Abstract

In this paper we analyze the evolution of a publicly funded interfirm R&D network in the German automotive industry between 1998 and 2007. A stochastic actor-based model allows us to estimate the role of various drivers of the evolutionary change process. We test hypotheses derived in an 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. Our results indicate that knowledge-related effects such as absorptive capacity, technological distance and knowledge-base modularity are significant determinants of network evolution. Moreover, transitivity is found to be a relevant endogenous structural effect. Also, firms with an experience in cooperation tend to be engaged more intensive in cooperation both as initiators and as targets. The same holds for geographically neighboring firms.

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  • Tobias Buchmann & Andreas Pyka, 2015. "The evolution of innovation networks: the case of a publicly funded German automotive network," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(1-2), pages 114-139, March.
    • Handle: RePEc:taf:ecinnt:v:24:y:2015:i:1-2:p:114-139
    DOI: 10.1080/10438599.2014.897860
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    References listed on IDEAS

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    1. Carliss Y. Baldwin & Kim B. Clark, 2000. "Design Rules, Volume 1: The Power of Modularity," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262024667, April.
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    Cited by:

    1. Hermans, Frans, 2021. "The contribution of statistical network models to the study of clusters and their evolution," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 100(2), pages 379-403.
    2. Manolis Manioudis & Antonios Angelakis, 2023. "Creative Economy and Sustainable Regional Growth: Lessons from the Implementation of Entrepreneurial Discovery Process at the Regional Level," Sustainability, MDPI, vol. 15(9), pages 1-18, May.
    3. Tom Broekel & Marcel Bednarz, 2018. "Disentangling link formation and dissolution in spatial networks: An Application of a Two-Mode STERGM to a Project-Based R&D Network in the German Biotechnology Industry," Networks and Spatial Economics, Springer, vol. 18(3), pages 677-704, September.
    4. Lu Cheng, 2022. "The Effects of Open Innovation at the Network Level," Sustainability, MDPI, vol. 14(23), pages 1-23, November.
    5. Santos, Antonio Bob, 2015. "Open Innovation in clusters: The Portuguese case," MPRA Paper 70032, University Library of Munich, Germany.
    6. Asef Karimi & Haniye Rezaei & Morteza Akbari & Pantea Foroudi, 2021. "The concept of innovation network: an application of the meta-synthesis approach," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 11(1), pages 399-419, December.
    7. Bogner, Kristina, 2019. "Knowledge networks in the German bioeconomy: Network structure of publicly funded R&D networks," Hohenheim Discussion Papers in Business, Economics and Social Sciences 03-2019, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    8. Patrick Wolf & Tobias Buchmann, 2021. "Analyzing development patterns in research networks and technology," Review of Evolutionary Political Economy, Springer, vol. 2(1), pages 55-81, April.
    9. Galati, Francesco & Bigliardi, Barbara & Galati, Roberta & Petroni, Giorgio, 2021. "Managing structural inter-organizational tensions in complex product systems projects: Lessons from the Metis case," Journal of Business Research, Elsevier, vol. 129(C), pages 723-735.

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