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The “first match” between high-tech entrepreneurial ventures and universities: the role of founders’ social ties

Author

Listed:
  • Massimo G. Colombo

    (Politecnico Di Milano)

  • Massimiliano Guerini

    (Politecnico Di Milano)

  • Cristina Rossi-Lamastra

    (Politecnico Di Milano)

  • Andrea Bonaccorsi

    (University of Pisa)

Abstract

This paper studies the collaborations between entrepreneurial ventures and universities by investigating the “first match”, namely, the probability that a given entrepreneurial venture, which has never established university collaborations before, forms a collaboration with a given university (out of all the possible collaborations it might have formed). Expanding on the literature about university–industry collaborations, we argue that the formation of the first match is socially bounded. Specifically, we contend that individual social ties, which the founders of an entrepreneurial venture have formed with the personnel of a given university as they worked there, increase the probability of a first match because these ties reduce the costs and increase the benefits of forming a collaboration (H1). We also hypothesize that geographical (H2) and cognitive proximity (H3) between entrepreneurial ventures and universities influence these costs and benefits, thus moderating the relation sub H1. Econometric estimations on a large set of dyads, which represent realized and potential first matches between Italian high-tech entrepreneurial ventures and universities, support our hypotheses.

Suggested Citation

  • Massimo G. Colombo & Massimiliano Guerini & Cristina Rossi-Lamastra & Andrea Bonaccorsi, 2022. "The “first match” between high-tech entrepreneurial ventures and universities: the role of founders’ social ties," The Journal of Technology Transfer, Springer, vol. 47(1), pages 270-306, February.
  • Handle: RePEc:kap:jtecht:v:47:y:2022:i:1:d:10.1007_s10961-021-09848-3
    DOI: 10.1007/s10961-021-09848-3
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    More about this item

    Keywords

    Entrepreneurial ventures; University–industry collaborations; Individual social ties; Geographical proximity; Cognitive proximity;
    All these keywords.

    JEL classification:

    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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