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A matching model of university–industry collaborations

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  • Giorgio Calcagnini
  • Germana Giombini
  • Paolo Liberati
  • Giuseppe Travaglini

Abstract

In this paper, we present a model of university–industry collaborations with heterogeneous agents. It develops one of the original intuitions by Leyden and Link (Small Bus Econ 41:797–817. doi: 10.1007/s11187-013-9507-7 , 2013b ) about the mechanisms by which innovative firms search for collaborative research partners. We study the characteristics of the matching process between universities and innovative firms that makes this exchange in technology transfer (TT) either efficient or unfeasible. We show that the functioning of the TT market implies dual-trading externalities. These arise because there is a high probability that a firm searching for a university collaboration will not meet a suitable researcher, and another positive probability that an unemployed researcher will not find a suitable innovative firm, whatever the market prices and the costs are. According to the matching model literature, we refer to these externalities as congestion. Copyright Springer Science+Business Media New York 2016

Suggested Citation

  • Giorgio Calcagnini & Germana Giombini & Paolo Liberati & Giuseppe Travaglini, 2016. "A matching model of university–industry collaborations," Small Business Economics, Springer, vol. 46(1), pages 31-43, January.
  • Handle: RePEc:kap:sbusec:v:46:y:2016:i:1:p:31-43
    DOI: 10.1007/s11187-015-9672-y
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    16. Debackere, Koenraad & Veugelers, Reinhilde, 2005. "The role of academic technology transfer organizations in improving industry science links," Research Policy, Elsevier, vol. 34(3), pages 321-342, April.
    17. Robert E. Litan & Lesa Mitchell & E. J. Reedy, 2008. "Commercializing University Innovations: Alternative Approaches," NBER Chapters, in: Innovation Policy and the Economy, Volume 8, pages 31-57, National Bureau of Economic Research, Inc.
    18. Alessandro Muscio & Davide Quaglione & Giovanna Vallanti, 2015. "University regulation and university–industry interaction: a performance analysis of Italian academic departments," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(5), pages 1047-1079.
    19. Perkmann, Markus & Tartari, Valentina & McKelvey, Maureen & Autio, Erkko & Broström, Anders & D’Este, Pablo & Fini, Riccardo & Geuna, Aldo & Grimaldi, Rosa & Hughes, Alan & Krabel, Stefan & Kitson, Mi, 2013. "Academic engagement and commercialisation: A review of the literature on university–industry relations," Research Policy, Elsevier, vol. 42(2), pages 423-442.
    20. Pontus Braunerhjelm & Zoltán J. Ács & David B. Audretsch & Bo Carlsson, 2015. "The missing link: knowledge diffusion and entrepreneurship in endogenous growth," Chapters, in: Global Entrepreneurship, Institutions and Incentives, chapter 6, pages 108-128, Edward Elgar Publishing.
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    Cited by:

    1. Alexandre Dias & Beatriz Selan, 2023. "How does university-industry collaboration relate to research resources and technical-scientific activities? An analysis at the laboratory level," The Journal of Technology Transfer, Springer, vol. 48(1), pages 392-415, February.
    2. Giorgio Calcagnini & Germana Giombini & Paolo Liberati & Giuseppe Travaglini, 2019. "Technology transfer with search intensity and project advertising," The Journal of Technology Transfer, Springer, vol. 44(5), pages 1529-1546, October.
    3. Andrea Bonaccorsi & Brigida Blasi & Carmela Anna Nappi & Sandra Romagnosi, 2022. "Quality of research as source and signal: revisiting the valorization process beyond substitution vs complementarity," The Journal of Technology Transfer, Springer, vol. 47(2), pages 407-434, April.
    4. Zhenshan Yang, 2023. "Human capital space: a spatial perspective of the dynamics of people and economic relationships," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    5. Erik E. Lehmann & Matthias Menter, 2016. "University–industry collaboration and regional wealth," The Journal of Technology Transfer, Springer, vol. 41(6), pages 1284-1307, December.
    6. Ye Xu & Jie Zhu & Changqi Tao, 2021. "The mechanism of technological potential energy driving Industry-University-Research institution collaborative innovation," International Entrepreneurship and Management Journal, Springer, vol. 17(4), pages 1541-1567, December.
    7. Aksoy, Arman Y. & Pulizzotto, Davide & Beaudry, Catherine, 2022. "University-Industry partnerships in the smart specialisation era," Technological Forecasting and Social Change, Elsevier, vol. 176(C).

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    More about this item

    Keywords

    Technology transfer; University–industry collaboration ; Matching models; L26; O31; C78;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • M38 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Government Policy and Regulation

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