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Measuring The Knowledge Transfer Performance At Universities

Author

Listed:
  • Petra Karanikic

    (University of Rijeka)

  • Heri Bezic

    (University of Rijeka)

Abstract

Measuring the universities' knowledge transfer performance is important for both policymakers and universities due to the recognized social and economic impact of the knowledge transfer process. The aim of this paper is to investigate and discuss the contemporary knowledge transfer metrics used for measuring the knowledge transfer activities at universities. The research results show that the universities need to consider several important aspects when selecting and reporting on their knowledge transfer activities, such as the purpose and continuity of data collection and reporting on knowledge transfer activities, internal and external context in which universities operate, and implementation of common definitions for knowledge transfer indicators. Additional aspects identified from the conducted research which are important for the overall assessment of the universities’ knowledge transfer performances are the collection of both quantitative and qualitative data on knowledge transfer activities, and harmonization of the knowledge transfer metrics that will enable the universities to measure and compare their knowledge transfer activities, nationally and internationally.

Suggested Citation

  • Petra Karanikic & Heri Bezic, 2021. "Measuring The Knowledge Transfer Performance At Universities," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 30(1), pages 189-203, june.
    • Handle: RePEc:avo:emipdu:v:30:y:2021:i:1:p:189-203
    DOI: 10.17818/EMIP/2021/1.9
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    References listed on IDEAS

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    1. Zoran Boroviæ & Mladen Rebiæ & Dalibor Tomaš, 2020. "Total factor productivity drivers in the selected EU countries: Cointegration approach," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 38(1), pages 295-315.
    2. Vidita Choudhry & Todd A. Ponzio, 2020. "Modernizing federal technology transfer metrics," The Journal of Technology Transfer, Springer, vol. 45(2), pages 544-559, April.
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    4. Albert Link & Donald Siegel, 2005. "Generating science-based growth: an econometric analysis of the impact of organizational incentives on university-industry technology transfer," The European Journal of Finance, Taylor & Francis Journals, vol. 11(3), pages 169-181.
    5. Frank T. Rothaermel & Shanti D. Agung & Lin Jiang, 2007. "University entrepreneurship: a taxonomy of the literature," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 16(4), pages 691-791, August.
    6. Matthew Ainurul Rosli & Federica Rossi, 2015. "Monitoring the knowledge transfer performance of universities: An international comparison of models and indicators," Working Papers 24, Birkbeck Centre for Innovation Management Research, revised Jul 2015.
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    Cited by:

    1. Hehai Liu & Jie Sheng & Li Zhao, 2022. "Innovation of Teaching Tools during Robot Programming Learning to Promote Middle School Students’ Critical Thinking," Sustainability, MDPI, vol. 14(11), pages 1-14, May.

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    More about this item

    Keywords

    universities; knowledge transfer; knowledge transfer indicators; technology transfer offices;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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