基于集群创新合作网络的知识创新与扩散过程建模及仿真研究

Modeling and Simulation Analysis of Process of Knowledge Innovation and Diffusion Based on Industry Cluster Innovation Network

基于集群创新合作网络的知识创新和知识扩散过程是集群企业实现创新的关键。为了揭示集群创新合作网络中知识增长绩效的演化规律,探讨不同网络中知识增长绩效的差异及其形成原因,论文构建了知识创新与扩散的过程模型,以东北三省新能源汽车集群创新合作网络为例,运用复杂网络理论和仿真方法进行分析。研究发现,集群创新合作网络的整体知识水平呈现先递增后递减的演化规律;知识增长的演化过程存在突变点,突变时期不同网络中企业知识水平分化的情况决定不同网络知识增长绩效的差异性;知识扩散约束条件是知识创新与扩散过程的关键;实际网络并非知识创新与扩散的最优网络,无标度网络具有知识增长的绩效优势;hub结构和适度的节点度值分布差异性有利于提升知识增长绩效。

The process of knowledge innovation and diffusion in the industry cluster innovation network is the key for firms to achieve innovation .To explore the evolution rule of the performance of knowledge in the network , and to analyze the difference of performance of knowledge among different networks and its cause , this paper pro-poses a process model of knowledge innovation and diffusion .Taking new energy auto industry cluster network in three northeastern provinces as a case , this paper researches it using the complex network theory and the method of simulation.This research shows that the growth rate of overall knowledge increases firstly and then decreases . There is a saltation point in the process of knowledge growth , and the differentiation of firms ’ knowledge among different networks in that saltation period controls the diversity of performance of knowledge growth .The con-straints of knowledge diffusion are the key to the process of knowledge innovation and diffusion .Scale-free net-work has a relative advantage of the performance of knowledge growth when the real industry cluster innovation network is not the optimal network for knowledge innovation and diffusion .Hub structure and moderate degree of variance from degree distribution are conducive to improving the performance of knowledge growth .This paper shows that , to improve the performance of knowledge innovation and diffusion in the network , it should be done that optimizing the network structure , adjusting the differentiation of firms ’ cooperative relationship , controlling the division of firms ’ knowledge quantity in the saltation period and balancing the constraints of knowledge diffu-sion in the network .