Bringing together complementary resources for knowledge co-creation through an open innovation platform is the core process for enterprises to obtain sustainable competitive advantage,and the process presents a high degree of complexity and uncertainty due to the conflicting interests of co-creators.Therefore,this research constructs a stochastic evolutionary game model by considering Gaussian white noise,and deeply explores the knowledge co-creation mechanism of open innovation platforms under stochastic disturbance in order to understand the complexity of the knowledge co-creation process.This study shows that the fluctuation range of the evolution process of the agent's strategy is positively correlated with the intensity of stochastic perturbation,and knowledge co-creation is fragile.Compared with the distribution strategy that favors any party,the fair distribution of income is more conducive to the knowledge co-creation of the subject,which reflects that irrational emotions such as fairness preferences can affect behavioral strategies.The appropriate incentive policy can effectively promote the subject to implement the knowledge co-creation behavior and avoids the inefficient incentive effect of higher and lower incentive policies.Mutual sharing of knowledge is better than unilateral hiding of knowledge to achieve equilibrium in knowledge co-creation,but mutual sharing and unilateral hiding will also generate knowledge leakage and trust crisis,respectively.
Open Innovation PlatformKnowledge Co-creationStochastic Evolutionary GameRandom Disturbance
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