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Assessing University Technology Transfer: A Measure Of Efficiency Patterns

Author

Listed:
  • JISUN KIM

    (Department of Engineering and Technology Management, Portland State University, Portland, OR 97201, USA)

  • TIMOTHY ANDERSON

    (Department of Engineering and Technology Management, Portland State University, Portland, OR 97201, USA)

  • TUGRUL DAIM

    (Department of Engineering and Technology Management, Portland State University, Portland, OR 97201, USA)

Abstract

There have been very active and significant studies done in the area of university technologies transfer (UTT). One interested topic among them is to measure performance of the UTT. Data Envelopment Analysis (DEA) has been regarded as a proper approach to measure the university technology transfer efficiency (UTTE). However, current studies stay in identifying efficient and inefficient universities and related output or input variables which could contribute to improve their efficiencies. This study is intended to understand further how the universities recognized efficient are different and the changes of their performance over years. For this purpose, this study proposes a new approach, the efficiency pattern diagram, to identify changing patterns of the technology transfer of 17 efficient universities out of 51 US universities from 2001 to 2004. Five efficiency patterns are identified by this study: "newly emerging", "strengthening", "strong", "weakening", and "declining". The properties of each pattern and limitations of the approach are discussed with verification of the pattern by extending them to 2005.

Suggested Citation

  • Jisun Kim & Timothy Anderson & Tugrul Daim, 2008. "Assessing University Technology Transfer: A Measure Of Efficiency Patterns," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 5(04), pages 495-526.
    • Handle: RePEc:wsi:ijitmx:v:05:y:2008:i:04:n:s0219877008001497
    DOI: 10.1142/S0219877008001497
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    References listed on IDEAS

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    1. H. David Sherman & Joe Zhu, 2006. "Service Productivity Management," Springer Books, Springer, number 978-0-387-33231-4, September.
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    Cited by:

    1. Shui‐ying Jin & Xiao‐lin Zhou & Yung‐ho Chiu, 2021. "The parent–subsidiary knowledge transfer efficiency of Chinese–African multinational enterprises based on a metafrontier epsilon‐based measure model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 479-492, March.
    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.
    3. Jisun Kim & Tugrul Daim, 2014. "A new approach to measuring time-lags in technology licensing: study of U.S. academic research institutions," The Journal of Technology Transfer, Springer, vol. 39(5), pages 748-773, October.
    4. 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.
    5. Oluwaseun Fadeyi & Petra Maresova & Ruzena Stemberkova & Micheal Afolayan & Funminiyi Adeoye, 2019. "Perspectives of University-Industry Technology Transfer in African Emerging Economies: Evaluating the Nigerian Scenario via a Data Envelopment Approach," Social Sciences, MDPI, vol. 8(10), pages 1-20, October.
    6. See, Kok Fong & Ma, Zhanxin & Tian, Yuzhen, 2023. "Examining the efficiency of regional university technology transfer in China: A mixed-integer generalized data envelopment analysis framework," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    7. 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.
    8. Michael J. Hall, 2022. "New technology transfer metrics for the National Institute of Standards and Technology," The Journal of Technology Transfer, Springer, vol. 47(5), pages 1573-1583, October.
    9. Rian Marais & Sara S. Grobbelaar & Imke H. de Kock, 2020. "Healthcare Technology Transfer in Sub-Saharan Africa: An Inductive Approach," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(08), pages 1-39, January.

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