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Research on the Technology Transfer Efficiency Evaluation in Industry-University-Research Institution Collaborative Innovation and Its Affecting Factors Based on the Two-Stage DEA Model

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Proceedings of the Tenth International Conference on Management Science and Engineering Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 502))

Abstract

The traditional technical efficiency measurement regards the technology transfer system as a “black box” and doesn’t penetrate the internal operation mechanism of the system. This paper opens the technology transfer system “black box” of industry-university-research institution (IUR) collaborative innovation, researches the internal structure of the system, and deconstructs the system into two stages: technology innovation stage and industrial value creation stage. On this basis, this paper calculates the technology transfer efficiency based on the two-stage DEA model. The result shows that the overall technology transfer efficiency in IUR collaborative innovation is low, and the bottlenecks for improving the technology transfer efficiency are different for different provinces. Through analyzing the internal and external factors of the system, this paper finds that the good cooperative relationship between enterprises and scientific research institutions can improve the efficiency of technology transfer. Refer to environmental factors, the government supports, the market competition and the demand for new products have positive impact on the efficiency of technology transfer.

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Acknowledgments

The research work is supported by Major Programs of National Social Science Funds of China (71571126) and is also supported by Department of Science and Technology of Sichuan Province Program (2014RK10).

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Authors and Affiliations

  1. Business School, Sichuan University, Chengdu, 610064, People’s Republic of China

    Yuanchun Yu & Xin Gu

  2. School of Economy and Management, Sichuan University of Science and Engineering, Chengdu, 610064, People’s Republic of China

    Yuanchun Yu

  3. School of Economy and Management, Sichuan University of Science and Engineering, Zigong, 643000, People’s Republic of China

    Yijun Chen

Authors
  1. Yuanchun Yu
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  2. Xin Gu
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  3. Yijun Chen
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Corresponding author

Correspondence to Yuanchun Yu .

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Editors and Affiliations

  1. Business School, Sichuan University, Chengdu, Sichuan, China

    Jiuping Xu

  2. Azerbaijan National Academy of Sciences, Baku, Azerbaijan

    Asaf Hajiyev

  3. Karlsruhe Institute of Technology, Karlsruhe, Baden-Württemberg, Germany

    Stefan Nickel

  4. Tokyo University of Science, Fuzzy Logic Systems Institute, Tokyo, Japan

    Mitsuo Gen

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Yu, Y., Gu, X., Chen, Y. (2017). Research on the Technology Transfer Efficiency Evaluation in Industry-University-Research Institution Collaborative Innovation and Its Affecting Factors Based on the Two-Stage DEA Model. In: Xu, J., Hajiyev, A., Nickel, S., Gen, M. (eds) Proceedings of the Tenth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 502. Springer, Singapore. https://doi.org/10.1007/978-981-10-1837-4_21

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  • DOI: https://doi.org/10.1007/978-981-10-1837-4_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1836-7

  • Online ISBN: 978-981-10-1837-4

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