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| Multi-scenario Simulation Analysis of Industry-University-Institute Cooperation Knowledge Transfer Considering Enterprise Scale |
| Wu Rong1,Wang Zhiqiang2,Yu Yu3,Shi Qinfen4 |
| （1.Management Science Institute, HOHAI University;2.Business School, HOHAI University, Nanjing 210098, China;3.College of Auditing and Evaluation, Nanjing Audit University, Nanjing 211815, China;4.Business School, Suzhou University of Science and Technology, Suzhou 215009, China） |
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Abstract Industry-university-institute cooperation has become an important way to promote the implementation of the national independent innovation strategy. Accurate and efficient knowledge transfer is the basis for the successful implementation of cooperative innovation. Based on complex system theory, the study set the university, scientific research institutes and enterprises as the core subjects and build an agent based model（ABM） about Industry-university-institute cooperative innovation knowledge transfer system to reveals the complex characteristics and the internal mechanism of knowledge transfer of the Industry-university-institute cooperation system. Furthermore, three types of policy tools: innovative talent policy, innovation service policy, and innovation and entrepreneurship policy are designed to analyze the impact of implement different policy tool combinations on knowledge transfer and knowledge stocks in the system . The results show that: ① the talent policy for large enterprises is conducive to the rapid increase of the system's knowledge stocks, and the talent policy for medium and small enterprises is conducive to the rapid upgrade of enterprise types； ② compared with the driving effect of talent policy, the implementation of service policy has a better effect on the “emergence” of system's knowledge stocks increase； ③ entrepreneurship policy is conducive to the increase of cooperative relations； ④ the simultaneous implementation of three types of policy produced a resonance effect of 1 + 1 + 1> 3 to increase the system's knowledge stocks. Under the premise of costs, the simultaneous implementation of innovation service policy and entrepreneurship policy has the best effect on increasing the system knowledge stocks, system knowledge differentiation, system knowledge transfer efficiency and enterprise upgrading.
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Received: 15 August 2020
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