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Measuring the performance of university technology transfer using meta data approach: the case of Dutch universities

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  • Tsvi Vinig
  • David Lips

Abstract

The objective o this study is to empirically measure the performance of Dutch university’s technology transfer. Dutch universities are ranked high on research output but there is scarce evidence about the commercialization of research-based innovation. We present a novel approach to measure the performance of university technology transfer using meta data analysis. We use data on research output as meta-data to estimates the potential for technology transfer, and data about the actual technology transfer projects as measured by patents, license agreements and spin-offs. We tested our model for Dutch universities and validated it using data from private and state universities in the US. Our results suggest that most Dutch research universities have poor performance while technical Dutch universities and academic medical center perform well. We pilot-tested our model for selected US universities and the result confirm the validity of our approach. Our approach contributes to the literature on university technology transfer by adding a novel approach for measuring performance of university technology transfer while taking into account university research as the potential for technology transfer. Copyright The Author(s) 2015

Suggested Citation

  • Tsvi Vinig & David Lips, 2015. "Measuring the performance of university technology transfer using meta data approach: the case of Dutch universities," The Journal of Technology Transfer, Springer, vol. 40(6), pages 1034-1049, December.
    • Handle: RePEc:kap:jtecht:v:40:y:2015:i:6:p:1034-1049
    DOI: 10.1007/s10961-014-9389-0
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    References listed on IDEAS

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    Cited by:

    1. V.G.R. Chandran & Mohammad Nourani & Sonia Kumari Selvarajan & Angathevar Baskaran, 2021. "Selective research funding policy and catching up the ladder in university research performance in Malaysia," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(3), pages 539-550, April.
    2. Jasmine Meysman & Sven H. Cleyn & Johan Braet, 2019. "Cash, community and coordination: the triple-C categorisation of technology transfer office organisational philosophy," International Entrepreneurship and Management Journal, Springer, vol. 15(3), pages 815-835, September.
    3. Esteban Lafuente & Jasmina Berbegal-Mirabent, 2019. "Assessing the productivity of technology transfer offices: an analysis of the relevance of aspiration performance and portfolio complexity," The Journal of Technology Transfer, Springer, vol. 44(3), pages 778-801, June.
    4. Vidita Choudhry & Todd A. Ponzio, 2020. "Modernizing federal technology transfer metrics," The Journal of Technology Transfer, Springer, vol. 45(2), pages 544-559, April.
    5. Francisco-Isidoro Vega-Gomez & F. Javier Miranda & Antonio Chamorro Mera & Jesús Pérez Mayo, 2018. "The Spin-Off as an Instrument of Sustainable Development: Incentives for Creating an Academic USO," Sustainability, MDPI, vol. 10(11), pages 1-15, November.
    6. Noack, Anika & Jacobsen, Heike, 2021. "Transfer scouts: from intermediation to co-constructors of new knowledge and technologies in Germany," Research Policy, Elsevier, vol. 50(4).
    7. Insu Cho & Young Hoon Kwak & Jaehyeon Jun, 2019. "Sustainable Idea Development Mechanism in University Technology Commercialization (UTC): Perspectives from Dynamic Capabilities Framework," Sustainability, MDPI, vol. 11(21), pages 1-16, November.
    8. Son, Hosung & Chung, Yanghon & Hwang, Heeju, 2019. "Do technology entrepreneurship and external relationships always promote technology transfer? Evidence from Korean public research organizations," Technovation, Elsevier, vol. 82, pages 1-15.
    9. Laura Kreiling & Ahmed Bounfour, 2020. "A practice-based maturity model for holistic TTO performance management: development and initial use," The Journal of Technology Transfer, Springer, vol. 45(6), pages 1718-1747, December.
    10. Fernando Almeida, 2021. "Systematic Review On Academic Entrepreneurship Indicators," Entrepreneurship, Faculty of Economics, SOUTH-WEST UNIVERSITY "NEOFIT RILSKI", BLAGOEVGRAD, vol. 9(2), pages 7-22.
    11. Kadigia Faccin & Christle Beer & Bibiana Volkmer Martins & Grabriela Zanandrea & Neta Kela & Corne Schutte, 2022. "What really matters for TTOs efficiency? An analysis of TTOs in developed and developing economies," The Journal of Technology Transfer, Springer, vol. 47(4), pages 1135-1161, August.
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    13. David A. Kirby & Hala H. El Hadidi, 2019. "University technology transfer efficiency in a factor driven economy: the need for a coherent policy in Egypt," The Journal of Technology Transfer, Springer, vol. 44(5), pages 1367-1395, October.

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    More about this item

    Keywords

    Technology transfer; Commercialization; TTO; Valorization; Entrepreneurship; L32; L24; O31;
    All these keywords.

    JEL classification:

    • L32 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Public Enterprises; Public-Private Enterprises
    • L24 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Contracting Out; Joint Ventures
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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