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The university’s unknown knowledge: tacit knowledge, technology transfer and university spin-offs findings from an empirical study based on the theory of knowledge

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  • Fritjof Karnani

Abstract

The assumption that research findings provide the basis for spin-off projects at universities has been found up to now in literature and the practice. Supported by the theory of knowledge, the empirical study presented here shows that this idea is too limited. Only 45 % of spin-offs use codified research findings from the university, while 55 % use tacit knowledge that was acquired at the university. These spin-offs use knowledge beyond research findings, starting companies in the shadow of publications by academic institutions and drawing from the realm of tacit knowledge at universities. Tacit start-up knowledge is present in all scientific disciplines of universities; even the exploitation- and patent-oriented engineering sciences account for almost half of the start-ups. Start-ups based on tacit knowledge lead to both technology-oriented and service companies. They also do not differ from codified knowledge-based start-ups in the number of jobs that they create. The discovery of the tacit knowledge spin-offs as a phenomenon has an entire series of implications for the practice and research. The tacit start-up potential was not considered previously in the university promotion instruments and start-up consultancies. Furthermore, we can assume that tacit knowledge-based start-ups are only an initial indication of the innovation potential within the tacit realm of knowledge for universities and research institutes. Copyright Springer Science+Business Media, LLC 2013

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  • Fritjof Karnani, 2013. "The university’s unknown knowledge: tacit knowledge, technology transfer and university spin-offs findings from an empirical study based on the theory of knowledge," The Journal of Technology Transfer, Springer, vol. 38(3), pages 235-250, June.
    • Handle: RePEc:kap:jtecht:v:38:y:2013:i:3:p:235-250
    DOI: 10.1007/s10961-012-9251-1
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    2. Giuliano Sansone & Daniele Battaglia & Paolo Landoni & Emilio Paolucci, 2021. "Academic spinoffs: the role of entrepreneurship education," International Entrepreneurship and Management Journal, Springer, vol. 17(1), pages 369-399, March.
    3. Noelia Franco-Leal & Carmen Camelo-Ordaz & Juan Pablo Dianez-Gonzalez & Elena Sousa-Ginel, 2020. "The Role of Social and Institutional Contexts in Social Innovations of Spanish Academic Spinoffs," Sustainability, MDPI, vol. 12(3), pages 1-24, January.
    4. Christopher Hayter, 2015. "Public or private entrepreneurship? Revisiting motivations and definitions of success among academic entrepreneurs," The Journal of Technology Transfer, Springer, vol. 40(6), pages 1003-1015, December.
    5. Fang Wei & Xiao Limin, 2018. "Simulation of Knowledge Transfer Process Model Between Universities: A Perspective of Cluster Innovation Network," Complexity, Hindawi, vol. 2018, pages 1-13, December.
    6. Pontus Braunerhjelm & Ding Ding & Per Thulin, 2016. "Labour as a knowledge carrier: how increased mobility influences entrepreneurship," The Journal of Technology Transfer, Springer, vol. 41(6), pages 1308-1326, December.
    7. Tommaso Minola & Davide Hahn & Lucio Cassia, 2021. "The relationship between origin and performance of innovative start-ups: the role of technological knowledge at founding," Small Business Economics, Springer, vol. 56(2), pages 553-569, February.
    8. Zihanxin Li & Guilong Zhu, 2021. "Knowledge Transfer Performance of Industry-University-Research Institute Collaboration in China: The Moderating Effect of Partner Difference," Sustainability, MDPI, vol. 13(23), pages 1-22, November.
    9. Feser, Daniel & Proeger, Till, 2015. "Asymmetric information as a barrier to knowledge spillovers in expert markets," University of Göttingen Working Papers in Economics 259, University of Goettingen, Department of Economics.
    10. Tho, Nguyen Dinh & Trang, Nguyen Thi Mai, 2015. "Can knowledge be transferred from business schools to business organizations through in-service training students? SEM and fsQCA findings," Journal of Business Research, Elsevier, vol. 68(6), pages 1332-1340.
    11. Marius Tuft Mathisen & Einar Rasmussen, 2019. "The development, growth, and performance of university spin-offs: a critical review," The Journal of Technology Transfer, Springer, vol. 44(6), pages 1891-1938, December.
    12. Lauto, Giancarlo & Salvador, Elisa & Visintin, Francesca, 2022. "For what they are, not for what they bring: The signaling value of gender for financial resource acquisition in academic spin-offs," Research Policy, Elsevier, vol. 51(7).
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    14. Daniel Feser & Till Proeger, 2017. "Asymmetric information as a barrier to knowledge spillovers in expert markets," International Entrepreneurship and Management Journal, Springer, vol. 13(1), pages 211-232, March.
    15. Qin, Xionghe & Wang, Xueli & Kwan, Mei-Po, 2023. "The contrasting effects of interregional networks and local agglomeration on R&D productivity in Chinese provinces: Insights from an empirical spatial Durbin model," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
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    17. Niccolò Ghio & Massimiliano Guerini & Erik Lehmann & Cristina Rossi-Lamastra, 2015. "The emergence of the knowledge spillover theory of entrepreneurship," Small Business Economics, Springer, vol. 44(1), pages 1-18, January.

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    More about this item

    Keywords

    Technology transfer; University spin offs; Tacit knowledge; Theory of knowledge; M13; O31; O32;
    All these keywords.

    JEL classification:

    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups
    • 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

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