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Collaboration networks in a French cluster: do partners really interact with each other?

Author

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  • Bastien Bernela

    (CRIEF [Poitiers] - Centre de recherche sur l'intégration économique et financière - UP - Université de Poitiers = University of Poitiers)

  • Rachel Levy

    (LEREPS - Laboratoire d'Etude et de Recherche sur l'Economie, les Politiques et les Systèmes Sociaux - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - UT2J - Université Toulouse - Jean Jaurès - UT - Université de Toulouse - Institut d'Études Politiques [IEP] - Toulouse - ENSFEA - École Nationale Supérieure de Formation de l'Enseignement Agricole de Toulouse-Auzeville)

Abstract

We discuss the common hypothesis that, in collaborative projects, all partners interact with each other in homogeneous ways. More precisely, this research aims to determine the existence and frequency of Partner interactions in a collaborative project. From a survey of participants involved in innovation projects approved by a cluster, we collect information about 754 collaboration ties. We then test the impact of several determinants on the existence and frequency of their observed interactions.

Suggested Citation

  • Bastien Bernela & Rachel Levy, 2014. "Collaboration networks in a French cluster: do partners really interact with each other?," Working Papers hal-00995175, HAL.
    • Handle: RePEc:hal:wpaper:hal-00995175
    Note: View the original document on HAL open archive server: https://hal.science/hal-00995175
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    References listed on IDEAS

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    Cited by:

    1. Lucena-Piquero, D. & Vicente, Jérôme, 2019. "The visible hand of cluster policy makers: An analysis of Aerospace Valley (2006-2015) using a place-based network methodology," Research Policy, Elsevier, vol. 48(3), pages 830-842.
    2. Marie Ferru & Marie-Pierre Renée Bes & Michel Grossetti, 2011. "Measuring social proximity in the geography of innovation," Post-Print halshs-01395667, HAL.

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    More about this item

    Keywords

    Collaboration tie; interaction; inter-organizational networks; cluster; complete graph;
    All these keywords.

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