Knowledge integration of cluster networks based on grey relational analysis knowledge similarities

摘要

About inter-enterprise cooperation and innovation in industrial clusters, a novel knowledge similarity degree based on grey relational analysis is proposed, and a dynamic evolution model of innovation network is proposed considering many kinds of knowledge elements and social factors of the main innovation agent in this paper. In the model, the intrinsic relationship of knowledge integration and innovation network structure are established using multi-agent simulation method. The simulation results show that: industrial clusters innovation network has significantly small world; enterprise knowledge integration capabilities and innovation cooperation develop Jointly. As the cluster network size increases, knowledge integration capabilities of the enterprises are improved, networks become more sparse, the number of inter-enterprise cooperation reduced. Enterprises should actively enhance the innovative and cooperative relations for enhancing the knowledge level effectively, especially in the early stage of cluster development.