Abstract: From the perspective of Stackelberg games, the micro-mechanism of knowledge sharing in high-tech enterprises is researched and by taking the knowledge teams as the research object, the leader and the follower are used to describe the different levels of knowledge teams' member. By analyzing the effect of all inputs, performance allocation, and safety coefficient on knowledge sharing, a Stackelberg game model of decision-making in knowledge sharing is established and the simulation analysis is conducted to explore high-tech enterprises in the process of knowledge sharing micro-mechanism. The results show that firstly, the member's performance partition coefficient is a positively correlated with the input in knowledge sharing. Secondly, the safety coefficient has a positive impact on input and earning in knowledge sharing. There is a prerequisite that performance partition coefficient of the leaders should be large enough for entive knowledge teams. At the same time, the ratio of performance partition coefficient between the leaders and all the followers should be larger than knowledge conversion coefficient. These conclusions could provide the reference to decision makers for the knowledge sharing strategies of high-tech enterprises.

Key words: high-tech enterprise, knowledge team, knowledge sharing, Stackelberg game