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System dynamic analysis on industry-university-research institute synergetic innovation process based on knowledge flow

Author

Listed:
  • Yue Wu

    (Sichuan University)

  • Xin Gu

    (Sichuan University
    Chengdu Soft Innovation and Intelligence Industry Research Association)

  • Zhenzhou Tu

    (Chengdu University of Information Engineering)

  • Zhaobohan Zhang

    (Sichuan University)

Abstract

The industry-university-research institute synergetic innovation (IUR-SI) is a contractual arrangement formed by the core subjects of enterprises, universities, and research institutes, with the cooperation and assistance of intermediary organizations and other auxiliary organizations. The purpose of knowledge appreciation, sharing, and creation, along with the collaborative interaction approach, can realize joint development of major scientific and technological innovations. By analyzing the key factors affecting knowledge flow in the IUR-SI process, this research explores how knowledge flow can be promoted more effectively and efficiently. First, the subjective, knowledge, and knowledge flow simulation factors which influence knowledge flow in the IUR-SI process are analyzed. Then the knowledge flow process is simulated using the system dynamics method. Finally, the corresponding system dynamics model is constructed, and its simulation is analyzed. The results show that in the IUR-SI process, knowledge sharing ability, knowledge hiding coefficient, knowledge failure rate, subject innovation willingness, trust relationship, and organizational distance have obvious influences on the overall knowledge stock of the system, meaning that the above factors have relatively high sensitivity. The continuous flow of knowledge will gradually strengthen their influence. Knowledge flow is more affected by internal driving mechanisms, such as knowledge transfer and knowledge sharing. Changes in the internal driving mechanism’s role will affect knowledge flow efficiency, while factors such as trust relationships and organizational distance will have a relatively small effect. These results indicate that improving knowledge flow efficiency, the internal environment, and strengthening knowledge transfer and sharing, should be of great importance.

Suggested Citation

  • Yue Wu & Xin Gu & Zhenzhou Tu & Zhaobohan Zhang, 2022. "System dynamic analysis on industry-university-research institute synergetic innovation process based on knowledge flow," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1317-1338, March.
    • Handle: RePEc:spr:scient:v:127:y:2022:i:3:d:10.1007_s11192-021-04244-y
    DOI: 10.1007/s11192-021-04244-y
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    References listed on IDEAS

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    1. Veugelers, Reinhilde & Cassiman, Bruno, 2005. "R&D cooperation between firms and universities. Some empirical evidence from Belgian manufacturing," International Journal of Industrial Organization, Elsevier, vol. 23(5-6), pages 355-379, June.
    2. Bernard L. Simonin, 1999. "Ambiguity and the process of knowledge transfer in strategic alliances," Strategic Management Journal, Wiley Blackwell, vol. 20(7), pages 595-623, July.
    3. Eric von Hippel, 1994. ""Sticky Information" and the Locus of Problem Solving: Implications for Innovation," Management Science, INFORMS, vol. 40(4), pages 429-439, April.
    4. Devinder Grewal & Hilary Haugstetter, 2007. "Capturing and sharing knowledge in supply chains in the maritime transport sector: critical issues," Maritime Policy & Management, Taylor & Francis Journals, vol. 34(2), pages 169-183, April.
    5. Komanda Marcin, 2011. "Trust as a context for knowledge flows in co-opetition," Manager Journal, Faculty of Business and Administration, University of Bucharest, vol. 14(1), pages 139-151, December.
    6. Eom, Boo-Young & Lee, Keun, 2010. "Determinants of industry-academy linkages and, their impact on firm performance: The case of Korea as a latecomer in knowledge industrialization," Research Policy, Elsevier, vol. 39(5), pages 625-639, June.
    7. Szulanski, Gabriel, 2000. "The Process of Knowledge Transfer: A Diachronic Analysis of Stickiness," Organizational Behavior and Human Decision Processes, Elsevier, vol. 82(1), pages 9-27, May.
    8. Satu Pekkarinen & Vesa Harmaakorpi, 2006. "Building regional innovation networks: The definition of an age business core process in a regional innovation system," Regional Studies, Taylor & Francis Journals, vol. 40(4), pages 401-413.
    9. Lee, Yong S, 2000. "The Sustainability of University-Industry Research Collaboration: An Empirical Assessment," The Journal of Technology Transfer, Springer, vol. 25(2), pages 111-133, June.
    10. Andrew C. Inkpen & Adva Dinur, 1998. "Knowledge Management Processes and International Joint Ventures," Organization Science, INFORMS, vol. 9(4), pages 454-468, August.
    11. Gabriel Szulanski & Rossella Cappetta & Robert J. Jensen, 2004. "When and How Trustworthiness Matters: Knowledge Transfer and the Moderating Effect of Causal Ambiguity," Organization Science, INFORMS, vol. 15(5), pages 600-613, October.
    12. Ming Yu Cheng & R. Ghulam, 2007. "Knowledge gap and earnings differential in the knowledge-based economy," Applied Economics Letters, Taylor & Francis Journals, vol. 14(3), pages 219-221.
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