Resource Sharing Strategy of Regional Scientific and Technological Innovation Based on Big Data Analysis Platform

Abstract

In the era of big data, the demand for regional innovation is increasingly complicated and the development of scientific and technological resources is developing. Therefore, it is of great practical significance to use evolutionary game theory to study the sharing behavior of scientific and technological resources among regional innovation service platforms. Based on the analysis of the sharing of scientific and technological resources among the regional innovation service platforms, an evolutionary game model is constructed to explore the dynamic evolution process and influence factors of the game equilibrium strategy and the sharing behavior of scientific and technological resources among the platforms. The research shows that the greater complementation of scientific and technological resources between regional innovation service platforms, the higher level of scientific and technological resources in the platform, the stronger the ability of using advanced information technology and the lower cost of sharing the resources of science and technology. Thus, it needs accelerating the promotion of cross platform science and technology and related suggestions are made for the sharing of resources.