关键词: 云制造；创新生态系统；知识共享；知识共享激励；演化博弈

Abstract: In the process of knowledge sharing in cloud manufacturing innovation ecosystem, while sharing knowledge with the supplier, the cloud manufacturing service integrator also hopes that the supplier can actively share its own knowledge and participate in the operation process of cloud manufacturing innovation ecosystem. Because the cloud manufacturing service supplier is affected by information asymmetry and excessive cost of knowledge sharing, it may not participate in knowledge sharing, which leads to the problem of unsmooth knowledge sharing in cloud manufacturing innovation ecosystem.In order to effectively solve the problem,the influences of key factors on innovation subject’s strategy choices and evolution paths are analyzed in different situations.Based on the principle of limited rationality and maximization of benefits, the strategy choices of cloud manufacturing service integrator and supplier are analyzed by the evolutionary game theory in the process of knowledge sharing incentive, and the evolutionary equilibrium strategies are obtained under different parameter restrictions, and the evolutionary stabilities of knowledge sharing incentive are analyzed. Finally, referring to the current situation of knowledge sharing in Haier Group’s cloud manufacturing innovation ecosystem, the dynamic evolution processes of strategy selections between cloud manufacturing service integrator and supplier are analyzed by the numerical simulation based on MATLAB software. The research shows: ① The greater the cloud manufacturing service integrator’s transformation benefits of knowledge stock, knowledge sharing willingness,trust degree to the supplier, incentive cost, and the greater the knowledge absorption capacity of the cloud manufacturing service supplier,the more the system tends to evolve to the path of (no incentive， participation); ② The greater the knowledge sharing cost of the cloud manufacturing service supplier, the more the system tends to evolve to the path of (incentive， no participation); ③ The greater the penalty paid by the cloud manufacturing service supplier, the more the system tends to evolve to the path of (incentive， participation). According to the above research conclusions, some countermeasures and suggestions are put forward to improve the knowledge sharing performance of cloud manufacturing innovation ecosystem, which can provide the theoretical guidance for the knowledge sharing among members of cloud manufacturing innovation ecosystem.

Key words: cloud manufacturing; innovation ecosystem; knowledge sharing; knowledge sharing incentive; evolutionary game theory