Research On The Evolutionary Game Of Knowledge Sharing Behavior Among Subjects Of Platform-Based Innovation Ecosystem

With the rapid development of new digital intelligence technologies such as the Internet of Things,big data and cloud computing,platform-based innovation behavior had attracted widespread attention.As the platform economy can bring huge economic benefits to society,under the leadership of China’s innovation-driven development strategy,the construction and development of platform-based innovation ecosystem had become an effective means to promote the value-added of knowledge and the transformation of knowledge achievements.With the development of the relationship between the subjects of the innovation platform,a platform-based innovation ecosystem containing multiple subjects such as platform enterprises,complementary enterprises and users was gradually formed.Through key complementary resources,knowledge sharing platforms and driving reorganization of existing knowledge innovation resources and knowledge innovation processes,platform-based innovation ecosystem subjects provided important linking interfaces for decentralized innovation models,reshaped the way of knowledge sharing among subjects,and derived and expanded many new products and services.In order to promote the evolution of knowledge sharing behavior among the subjects of the platform-based innovation ecosystem to a win-win model,based on the two development stages of the platform-based innovation ecosystem,an evolutionary game model of knowledge sharing between platform enterprises and complementary enterprises in the initial stage of system construction and a tripartite game model of knowledge sharing among platform enterprises,complementary enterprises and users in the mature stage of system development were constructed respectively.The mechanism of the evolution of inter-subjective knowledge sharing behavior was analyzed,and the influencing factors of inter-subjective knowledge sharing behavior were studied through simulation analysis.The results showed that in the initial stage of platform-based innovation ecosystem,improving the variability of shared knowledge resources and the level of knowledge innovation benefits among subjects,reducing knowledge sharing costs and risk costs,establishing penalty mechanisms and reasonable knowledge innovation benefit distribution mechanism were conducive to reducing the opportunistic behaviors among subjects and promoting the platform-based innovation ecosystem into the mature stage.In the mature stage of platform-based innovation ecosystem,the knowledge innovation capability with the role of promoting system knowledge sharing had the greatest influence on inter-subject knowledge sharing behavior.Higher initial probability of knowledge sharing can motivate each subject to finally choose knowledge sharing behavior and realize efficient sharing of heterogeneous knowledge.Setting reasonable reward mechanism,punishment mechanism and knowledge innovation benefit distribution mechanism was conducive to improving the initial willingness of knowledge sharing among subjects.Platform enterprises were the most sensitive to various influencing factors of knowledge sharing and can quickly respond to changes in the system in terms of benefits,knowledge resources and risks.