An evolutionary game analysis on knowledge-sharing mechanism of the innovation consortiums in the blockchain era

Abstract

In the process of knowledge-sharing, there are problems such as low enthusiasm of the members and poor quality of sharing knowledge. This paper aims to introduce blockchain technology to improve the problems in the process of knowledge-sharing of innovation consortiums. This paper divides knowledge into knowledge quality and knowledge quantity, and member revenue is divided into knowledge quality and knowledge quantity revenue. A two-party game model of knowledge-sharing among members of innovation consortiums based on blockchain is constructed, and the influence of blockchain technology on knowledge-sharing strategy of each subject is revealed. The evolvement trend of the game model is analyzed, and the influence of each variable on the evolvement stable strategy is analyzed by numerical simulation. The results show that the sharing enthusiasm of the members of the innovation consortiums is affected by the reputation incentive, penalty, sharing cost, cost subsidy coefficient and other factors of blockchain. Meanwhile, the digital collaboration capability of the innovation consortiums facilitates the members to choose the positive sharing strategy.