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Networked innovation and coalition formation : the effect of group-based social preferences

Author

Listed:
  • Tom Dedeurwaerdere

    (UCL - Université Catholique de Louvain = Catholic University of Louvain, FNRS - Fonds National de la Recherche Scientifique [Bruxelles])

  • Paolo Melindi-Ghidi

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique, BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique, GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Willem Sas

    (University of Stirling, KU Leuven - Catholic University of Leuven = Katholieke Universiteit Leuven)

Abstract

In this paper, we study the production and dissemination of public knowledge goods, such as technological knowledge, generated by a network of voluntarily cooperating innovators. We develop a private-collective model of public knowledge production in networked innovation systems, where group-based social preferences have an impact on the coalition formation of developers. Our model builds on the large empirical literature on voluntary production of pooled public knowledge goods, including source code in communities of software developers or data provided to open access data repositories. Our analysis shows under which conditions social preferences, such as ‘group belonging' or ‘peer approval', influence the stable coalition size, as such rationalising several stylized facts emerging from large-scale surveys of open-source software developers, previously unaccounted for. Furthermore, heterogeneity of social preferences is added to the model to study the formation of stable but mixed coalitions.

Suggested Citation

  • Tom Dedeurwaerdere & Paolo Melindi-Ghidi & Willem Sas, 2018. "Networked innovation and coalition formation : the effect of group-based social preferences," Post-Print hal-01614025, HAL.
    • Handle: RePEc:hal:journl:hal-01614025
    DOI: 10.1080/10438599.2017.1378163
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    Cited by:

    1. Jiaping Xie & Haicheng Jia & Qi Dong & Gulizhaer Aisaiti, 2022. "Research on the Governance Mechanism of Independent Innovation Network in the Core Area of Silk Road Economic Belt," Sustainability, MDPI, vol. 14(13), pages 1-24, June.
    2. Jiajia Hao & Chunling Li & Runsen Yuan & Masood Ahmed & Muhammad Asif Khan & Judit Oláh, 2020. "The Influence of the Knowledge-Based Network Structure Hole on Enterprise Innovation Performance: The Threshold Effect of R&D Investment Intensity," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    3. Tom Dedeurwaerdere & Olivier De Schutter & E Mathijs & Marek Hudon & Sibylle Bui & Ionara Da Costa & Ana Alicia Dipierri & Paula Fernández-Wulff & Hélène Joachain & Tijtske Anna Zwart, 2018. "Food4Sustainability: Collective action for sustainable food systems in a changing climate: assessing social experimentations and policy innovations," ULB Institutional Repository 2013/317131, ULB -- Universite Libre de Bruxelles.

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