创新生态系统内节点企业知识创新绩效影响机制研究——基于知识共享和网络嵌入视角的系统动力学仿真实践

Research on the Impact Mechanism of Knowledge Innovation Performance of Node Enterprises in the Innovation Ecosystem:S-D Simulation Practice Based on Knowledge Sharing

摘要:

创新生态系统情境下，节点企业利用深度网络嵌入优势与参与主体进行知识共享，成为提升其知识创新绩效、建立创新竞争优势、提升创新生态系统知识生态绩效的关键。基于资源基础观及社会网络等理论构建节点企业知识创新绩效影响机制理论模型；引入表征知识共享过程、知识创新投入、网络嵌入等具体指标，构建节点企业知识创新绩效系统动力学模型。探究创新生态系统内知识共享对节点企业知识创新绩效的动态影响机理及网络嵌入在影响机制中的动态调节作用。研究发现：高水平的网络嵌入有利于提升节点企业的知识创新绩效及创新生态系统的知识生态绩效；创新知识量增速减缓形成知识创新绩效的边际递减效应；创新生态系统制度嵌入水平的提高有利于弱化知识创新绩效的边际递减效应；合理提升知识创新投入有利于提高知识创新绩效。据此提出优化创新生态系统知识共享流程、动态优化节点企业创新生态系统制度嵌入水平、动态调整知识创新投入比例、灵活匹配知识合作方的政策建议。

Abstract:

In the context of an innovation ecosystem, node enterprises utilize deep network embedding advantages to share knowledge with participating entities, which becomes the key to improving their knowledge innovation performance, establishing innovation competitive advantages, and enhancing the knowledge ecological performance of the innovation ecosystem. Based on the resource-based view and social network theory, construct a theoretical model of the impact mechanism of knowledge innovation performance in node enterprises; Introduce specific indicators to characterize the process of knowledge sharing, innovation knowledge investment, network embedding, and construct a system dynamics model for knowledge innovation performance of node enterprises. Explore the dynamic impact mechanism of knowledge sharing within the innovation ecosystem on the knowledge innovation performance of node enterprises and the dynamic regulatory role of network embedding in the impact mechanism. Research has found that high-level network embedding is beneficial for improving the knowledge innovation performance of node enterprises and the knowledge ecosystem performance of innovation ecosystems; The slowing down of the growth rate of innovative knowledge leads to a marginal diminishing effect on knowledge innovation performance; The improvement of the level of institutional embedding is conducive to weakening the marginal diminishing effect of knowledge innovation performance; Reasonably increasing knowledge innovation investment is beneficial for improving knowledge innovation performance. Based on this, policy recommendations are proposed to optimize the knowledge sharing process of the innovation ecosystem, dynamically optimize the level of institutional embedding in the innovation ecosystem of node enterprises, dynamically adjust the proportion of knowledge innovation investment, and flexibly match knowledge partners.