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Have you been served? The impact of university entrepreneurial support on start-ups’ network formation

Author

Listed:
  • Shiri M. Breznitz

    (University of Toronto)

  • Paige A. Clayton

    (University of North Carolina)

  • Daniela Defazio

    (University of Bath)

  • Kimberley R. Isett

    (Georgia Institute of Technology)

Abstract

University-based entrepreneurial support organizations devote increasing efforts to create a context and opportunities for interaction among start-up firms. The basic assumption behind these efforts is that networks facilitate access to knowledge and resources and increase the chances of success for start-ups. However, the mechanisms that facilitate the creation of business ties with other members of the same community are yet to be identified and empirically tested. This paper leverages the social network and firm incubator literatures to hypothesize and test mechanisms that create the context and opportunity for business interaction among member firms within one university-based entrepreneurial support organization. The study uses the empirical setting of a large, university based support organization and the sample includes firms with different levels of membership-support. This empirical context allows us to compare different levels of membership-support and identify the dimensions that have greater impacts on a firm’s opportunity to establish ties with other members. The results reveal that geographical proximity, ad-hoc service support including shared space, and a larger community of member and graduate firms to which network ties may be formed increases the chance of connecting with other past or current member firms.

Suggested Citation

  • Shiri M. Breznitz & Paige A. Clayton & Daniela Defazio & Kimberley R. Isett, 2018. "Have you been served? The impact of university entrepreneurial support on start-ups’ network formation," The Journal of Technology Transfer, Springer, vol. 43(2), pages 343-367, April.
  • Handle: RePEc:kap:jtecht:v:43:y:2018:i:2:d:10.1007_s10961-017-9565-0
    DOI: 10.1007/s10961-017-9565-0
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    Cited by:

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    2. Paige Clayton, 2024. "Different outcomes for different founders? Local organizational sponsorship and entrepreneurial finance," Small Business Economics, Springer, vol. 62(1), pages 23-62, January.
    3. Tali Hadasa Blank, 2021. "When incubator resources are crucial: survival chances of student startups operating in an academic incubator," The Journal of Technology Transfer, Springer, vol. 46(6), pages 1845-1868, December.
    4. Yindan Ye & Kevin De Moortel & Thomas Crispeels, 2020. "Network dynamics of Chinese university knowledge transfer," The Journal of Technology Transfer, Springer, vol. 45(4), pages 1228-1254, August.
    5. Matthew Good & Mirjam Knockaert & Birthe Soppe, 2020. "A typology of technology transfer ecosystems: how structure affects interactions at the science–market divide," The Journal of Technology Transfer, Springer, vol. 45(5), pages 1405-1431, October.
    6. Shekhar, Himanshu & Satyanarayana, Krishna & Chandrashekar, Deepak, 2023. "Role and contributions of an incubator in academic intrapreneurship – An examination," Technovation, Elsevier, vol. 126(C).
    7. Brian J. Bergman & Jeffery S. McMullen, 2022. "Helping Entrepreneurs Help Themselves: A Review and Relational Research Agenda on Entrepreneurial Support Organizations," Entrepreneurship Theory and Practice, , vol. 46(3), pages 688-728, May.
    8. Klofsten, Magnus & Lundmark, Erik & Wennberg, Karl & Bank, Megan, 2019. "Incubator specialization and size: divergent paths towards operational scale," Ratio Working Papers 326, The Ratio Institute.
    9. Alice Civera & Davide Donina & Michele Meoli & Silvio Vismara, 2020. "Fostering the creation of academic spinoffs: does the international mobility of the academic leader matter?," International Entrepreneurship and Management Journal, Springer, vol. 16(2), pages 439-465, June.

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    More about this item

    Keywords

    Entrepreneurial support organizations; University; Networks;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O51 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - U.S.; Canada

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