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A new approach to measuring time-lags in technology licensing: study of U.S. academic research institutions

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  • Jisun Kim
  • Tugrul Daim

Abstract

This paper contributes to measurement of licensing performance of U.S. research institutions by suggesting an approach for identifying time-lags in the licensing process. Licensing is a multi-state process starting with a disclosure, and resulting in intermediate outcomes such as patents, licensing agreements, and licensing income. The time duration among these variables is critical in understanding which investment is responsible for which outcome. This study develops a statistic procedure estimating time-lag coefficients among licensing variables using an unstructured regression model (OLS). The procedure is applied to 46 U.S. academic research institutions using the licensing survey data from 1991 to 2007 by Association of University Technology Manager. The results present individual time-lag relationships between each pair of licensing variables. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • 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.
    • Handle: RePEc:kap:jtecht:v:39:y:2014:i:5:p:748-773
    DOI: 10.1007/s10961-013-9327-6
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    Cited by:

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    2. Jason Coupet & Yuhao Ba, 2022. "Benchmarking university technology transfer performance with external research funding: a stochastic frontier analysis," The Journal of Technology Transfer, Springer, vol. 47(2), pages 605-620, April.
    3. Federico Moretti, 2019. "“Open” Lab? Studying the Implementation of Open Innovation Practices in a University Laboratory," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 1-25, February.

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