Resources Sharing Behavior of Science and Technology Service Platform: An Evolutionary Game Approach

Abstract

As the increasingly complex demand for scientific and technological innovation and explosive growth of scientific and technological resources, all participants of the scientific and technological service platform need to actively share resources to provide support for scientific and technological innovation activities. Therefore, it is of great practical significance to use evolutionary game theory to study the sharing behavior of science and technology resources of users of science and technology service platforms. This paper provides an evolutionary game model based on the analysis of user resource sharing behavior of science and technology service platform, discusses the dynamic evolution process and influence factors of game equilibrium strategy of science and technology resource sharing behavior. The results show that the less the extra cost of positive sharing, the more the extra benefits and the less the defection benefits are, the more users in the platform will choose the positive resource sharing strategy. The research results have an important guiding role in establishing and managing the science and technology service platform, and in making decision about science and technology resource sharing behavior.