Research on Dynamic Mechanisms of Knowledge Sharing Willingness Between Cluster Enterprises and its Simulation Based on Network Structure

Knowledge sharing behavior based on cluster innovation network has become the main means for enterprises to realize sustainable innovation. In reality, the number of contacts between enterprises are limited, that is, enterprises can only make knowledge sharing game based on the connection relationship defined by the network structure. To explain the decision-making process of whether enterprises continue to adopt knowledge sharing strategies, combined with the evolutionary game theory of complex networks, the dynamic evolutionary process of knowledge sharing in cluster innovation network under different network structures is explored. The simulation results show that: After considering the network structure factors, compared with the two game influencing factors of knowledge sharing synergistic income and synergistic income distribution, opportunity benefit has the greatest influence on enterprises' knowledge sharing intention, that is, opportunity benefit has the strongest dynamic. In the case of the same game influencing factors, scale-free network has a stronger promoting effect on enterprise knowledge sharing willingness than small-world network, but the network evolution stability speed is slower.