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Determinants and public policy implications of academic-industry knowledge transfer in life sciences: a review and a conceptual framework

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  • Ani Gerbin

    (Faculty of Medicine, University of Rijeka)

  • Mateja Drnovsek

    (University of Ljubljana)

Abstract

There is a considerable interest of scholars in benefits and challenges arising from involvement of academic researchers and their institutions in knowledge transfer activities with the business sector. The emerging questions have resulted in a number of studies, yielding rich but mixed findings. The purpose of this paper is to systematically review this body of investigative work, with a particular emphasis on life sciences. Based on the systematic analysis and synthesis of 135 articles published between 1980 and 2014, we discuss the most interesting findings for each of the six identified principal academic-industry research topics: involvement predictors and motivators, role of incentives, institutional performance determinants, knowledge transfer institutionalization, relationship with scientific output and impact on open science. Whereas many studies reach consensus regarding the particular personal and contextual predictors of researchers’ knowledge transfer involvement, we also find substantial evidence that depending on empirical setting, variables such as scientific productivity and institutional technology transfer support policies can act both as enablers and inhibitors in the process. We find no straightforward evidence regarding the role of the size, age and structure of technology transfer offices in the knowledge transfer performance of academic institutions. We also show that most studies agree that engagement in knowledge transfer activities does not negatively affect the researchers’ scientific output. Yet, it is less clear to what extent university-industry interactions can be detrimental for the norms of open science. We draw several policy implications for academic settings and emphasize interesting avenues for further research in this field.

Suggested Citation

  • Ani Gerbin & Mateja Drnovsek, 2016. "Determinants and public policy implications of academic-industry knowledge transfer in life sciences: a review and a conceptual framework," The Journal of Technology Transfer, Springer, vol. 41(5), pages 979-1076, October.
  • Handle: RePEc:kap:jtecht:v:41:y:2016:i:5:d:10.1007_s10961-015-9457-0
    DOI: 10.1007/s10961-015-9457-0
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    1. Véronique Schaeffer & Sıla Öcalan-Özel & Julien Pénin, 2020. "The complementarities between formal and informal channels of university–industry knowledge transfer: a longitudinal approach," The Journal of Technology Transfer, Springer, vol. 45(1), pages 31-55, February.
    2. Andrea Filippetti & Maria Savona, 2017. "University–industry linkages and academic engagements: individual behaviours and firms’ barriers. Introduction to the special section," The Journal of Technology Transfer, Springer, vol. 42(4), pages 719-729, August.
    3. Murillo Vetroni Barros & Mariane Bigarelli Ferreira & Guilherme Francisco Prado & Cassiano Moro Piekarski & Claudia Tania Picinin, 2020. "The interaction between knowledge management and technology transfer: a current literature review between 2013 and 2018," The Journal of Technology Transfer, Springer, vol. 45(5), pages 1585-1606, October.
    4. Karla Zimpel-Leal & Fiona Lettice, 2021. "Generative Mechanisms for Scientific Knowledge Transfer in the Food Industry," Sustainability, MDPI, vol. 13(2), pages 1-23, January.
    5. Alessandra Micozzi & Donato Iacobucci & Irene Martelli & Andrea Piccaluga, 2021. "Engines need transmission belts: the importance of people in technology transfer offices," The Journal of Technology Transfer, Springer, vol. 46(5), pages 1551-1583, October.
    6. Kox, Henk L.M., 2022. "Revisiting the knowledge-capital model of foreign direct investment: New multi-country evidence," MPRA Paper 114559, University Library of Munich, Germany, revised 14 Sep 2022.
    7. Loganathan, Muralidharan & Subrahmanya, MH Bala, 2022. "Agricultural Technology Commercialization to Entrepreneurial Startups: Case study on Networking," SocArXiv rntkd, Center for Open Science.
    8. Kox, Henk L.M., 2023. "Testing an extended knowledge-capital model of foreign direct investment," MPRA Paper 117266, University Library of Munich, Germany.
    9. Kox, Henk L.M., 2022. "A micro-macro model of foreign direct investment: knowledge-based gravity forces, self-selection and third-country effects," MPRA Paper 115542, University Library of Munich, Germany.
    10. Kox, Henk L.M., 2022. "Linking the knowledge-capital model of foreign direct investment with national knowledge systems," EconStor Preprints 266495, ZBW - Leibniz Information Centre for Economics.
    11. Kox, Henk L.M., 2022. "Explaining foreign direct investment patterns: a testable micro-macro gravity model for FDI," MPRA Paper 115273, University Library of Munich, Germany.
    12. Kox, Henk L.M., 2022. "Testing the knowledge-capital model of foreign direct investment: New evidence," MPRA Paper 114177, University Library of Munich, Germany.
    13. Igors Skute, 2019. "Opening the black box of academic entrepreneurship: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 237-265, July.
    14. Svenja Jarchow & Andrea Röhm, 2019. "Patent-based investment funds: from invention to innovation," The Journal of Technology Transfer, Springer, vol. 44(2), pages 404-433, April.
    15. Igors Skute & Kasia Zalewska-Kurek & Isabella Hatak & Petra Weerd-Nederhof, 2019. "Mapping the field: a bibliometric analysis of the literature on university–industry collaborations," The Journal of Technology Transfer, Springer, vol. 44(3), pages 916-947, June.
    16. Hong Gong & Shan Peng, 2018. "Effects of patent policy on innovation outputs and commercialization: evidence from universities in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 687-703, November.
    17. Seeber, Marco & Alon, Ilan & Pina, David G. & Piro, Fredrik Niclas & Seeber, Michele, 2022. "Predictors of applying for and winning an ERC Proof-of-Concept grant: An automated machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    18. Shuman Zhang & Changhong Yuan & Chen Han, 2020. "Industry–university–research alliance portfolio size and firm performance: the contingent role of political connections," The Journal of Technology Transfer, Springer, vol. 45(5), pages 1505-1534, October.

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    More about this item

    Keywords

    Knowledge transfer; Academia-industry; Life sciences; Determinants; Implications;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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