基于知识转移生态演化的产业技术创新协调研究

Research on Coordination of Industrial Technology Innovation Based on Knowledge Transfer Ecological Evolution

为提高产业技术创新中知识资源配置效率,融合了效用、生态位、知识管理等理论设计,基于知识转移生态演化的产业技术创新协调模式,基于改进柯布—道格拉斯函数建立知识投入产出效用模型和基于Lotka-Volterra构建知识转移生态关系模型,结合定性与数值算例分析了联盟纳什均衡与帕累托均衡下的成员知识投入量,并揭示了存量知识、增量知识、联盟知识之间生态关系演化机理。研究表明:增量知识、知识转移能力系数、知识转移意愿系数等对成员知识转移演化均衡及投入产出效用的影响较大,通过以增量知识为核心动力,协调联盟中3类知识转移能力系数和意愿系数,构建相互依存的知识共生关系,有利于推进知识的有序增长,提高产业技术创新中的知识资源配置效率,促进成员及联盟效用的增加。

To improve the efficiency of knowledge resource allocation in the industrial technology innovation, the industrial technology innovation coordination mode is brought up based on knowledge transfer ecological evolution and theories of Utility Niche and knowledge management, knowledge input-output utility model is built based on revised Cobb-Douglas function and the knowledge transfer ecology model is built based on Lotka-Volterra model. Qualitative analysis and numeri- cal example verification are made to discuss the knowledge inputs of alliance members with Nash Equilibrium and Pareto equilibrium, and reveal the evolution mechanism of ecological relationship between the stock knowledge, incremental knowledge and alliance knowledge. The results show that the incremental knowledge, knowledge transfer capacity coefficient and knowledge transfer willingness coefficient have greater impact on evolutionary equilibrium of members＇ knowledge transfer and input-output utility. It can promote orderly growth of knowledge, improve efficiency of knowledge resources allocation and increase the incremental revenue of individual member and alliance if mutually dependent knowledge sym- biotic relationship was built by using incremental knowledge as the core power and adjusting three kinds of knowledge transfer capacity coefficient and willingness coefficient.