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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。
In order to improve the allocation efficiency of knowledge resources in industrial technological innovation, this paper combines the theoretical design of utility, niche and knowledge management, the industrial technological innovation coordination mode based on the ecological evolution of knowledge transfer, establishes the utility model of knowledge input-output based on the improved Cobb-Douglas function And based on Lotka-Volterra, a model of knowledge transfer ecological relationship was built, and the amount of member knowledge input was analyzed based on the combination of Nash equilibrium and Pareto equilibrium by combining qualitative and numerical examples. And it also revealed the relationship between stock knowledge, incremental knowledge and union knowledge ecology Relationship evolution mechanism. The research shows that incremental knowledge, knowledge transfer ability coefficient and knowledge transfer willingness coefficient have a great influence on the evolutionary balance of members’ knowledge transfer and the input-output utility. By using incremental knowledge as the core motivation, three types of knowledge transfer capability Coefficient and coefficient of willingness to construct interdependent knowledge symbiotic relationship are conducive to promoting the orderly growth of knowledge, increasing the efficiency of knowledge resource allocation in industrial technological innovation and promoting the increase of the effectiveness of members and alliances.