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The impact of R%D collaboration networks on the performance of firms: a meta-analysis of the evidence

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  • Gunnar Pippel

Abstract

A rich body of literature investigating the impact of R%D collaboration networks on the innovation performance of firms and regions has developed over the last two decades. The first aim of this paper is to evaluate the results of this literature. Second, a classification and critical discussion of the established methods and approaches used in the literature to investigate this research question is provided. Thirdly, this paper aims to answer the question of whether the results achieved in the literature are predetermined by the methods employed. Lastly, relevant gaps for further research are identified. In order to do this, a meta-analysis of the relevant literature is conducted. This paper finds that knowledge intensive interactions have a positive impact on the performance of firms and regions. There is also evidence that the methods employed and the approaches followed in the literature to investigate this relationship predetermine the outcome of the research. This paper provides a classification of the methodological approaches utilised in the literature and illustrates the advantages and drawbacks of those approaches. The search for non-linear relationships between R%D collaboration and performance as well as the utilisation of alternative collaboration measures are examples for relevant research gaps.

Suggested Citation

  • Gunnar Pippel, 2013. "The impact of R%D collaboration networks on the performance of firms: a meta-analysis of the evidence," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 12(4), pages 352-373.
  • Handle: RePEc:ids:ijnvor:v:12:y:2013:i:4:p:352-373
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    Citations

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    Cited by:

    1. Alexandra Rese & Anke Kutschke & Daniel Baier, 2016. "Analyzing The Relative Influence Of Supply Side, Demand Side And Regulatory Factors On The Success Of Collaborative Energy Innovation Projects," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-43, February.
    2. Galaso, Pablo & Kovářík, Jaromír, 2018. "Collaboration Networks and Innovation: How to Define Network Boundaries," MPRA Paper 85108, University Library of Munich, Germany.
    3. Gunnar Pippel & Vivian Seefeld, 2016. "R&D cooperation with scientific institutions: a difference-in-difference approach," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 25(5), pages 455-469, July.
    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.
    6. Barbosa, Sergio & Sáiz, Patricio & Zofío, José L., 2024. "The emergence and historical evolution of innovation networks: On the factors promoting and hampering patent collaboration in technological lagging economies," Research Policy, Elsevier, vol. 53(5).
    7. Johannes VAN DER POL, 2016. "Social interactions between innovating firms: an analytical review of the literature," Cahiers du GREThA (2007-2019) 2016-23, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).

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