从动态角度研究校企合作创新网络中知识转移中信任的演进,构建校企合作创新网络知识转移的非对称演化博弈模型,分析了参数变化对合作创新网络信任的影响,研究表明,收益分配系数、投机收益、知识转移成本、知识转移量等因素影响了校企合作创新网络知识转移中信任的动态演化路径及结果,并通过netlogo仿真,验证了企业和高校知识转移中不同得益情况下策略的选择及信任的演进趋势。
This paper studies trust evolution in knowledge transfer of university-industry cooperation and innovation network from the dynamic perspective. It constructs asymmetric evolutionary game model of knowledge transfer in university-industry cooperation and innovation network and analyzes the effect of parameter variation on collaborative innovation networks trust. The research has shown that income distribution coefficient, speculative gains, knowledge transfer cost and other factors affecting the university-industry cooperation and innovation knowledge transfer network and dynamic evolution of trust in the results, then simulates through netlogo to clear knowledge transfer strategy selection and trust evolutionary trend of universities knowledge and enterprises in the case of different benefit.