Knowledge stickiness is the decisive factor to hinder knowledge transfer and a realistic problem that need to be solved to implement the cooperative innovation performance of academic teams.Reducing the influence of knowledge stickiness and assuring the efficient circulation of knowledge are the key to maintaining the healthy development and competitive advantage of academic teams. Many efforts contribute noticeably to improving the understanding of knowledge transfer in the field of knowledge management,but the study of knowledge stickiness is still a relatively new research area and the implication,influence factor or evolution mechanism of which has been left almost unexplored. Therefore it is necessary to delve into the phenomenon of knowledge stickiness in the scientific collaboration network.

    Introducing the analytical method of knowledge transfer and systematic dynamic theory,this study presents a knowledge stickiness evolution dynamic model by considering the relationship among cognitive factors,transfer situations and transfer motives. The aim of the paper is to explore the evolutionary path of tacit knowledge from the macroscopic aspect and to anatomize the influence mechanism of each factor from micro-context to discover the measures and suggestions for effectively reducing knowledge stickiness and improving the efficiency of knowledge transfer. Different from the previous research on knowledge stickiness that mostly used questionnaire and statistical record tools to analyze the relationship of factors,we adopt computational experiment method to observe the influence rule of an individual factor and the synergistic action of multiple factors. Meanwhile,we repeatedly adjust the experiment parameters to make the model closer to reality and analyze the dynamic trend and long-term evolution of knowledge stickiness problem in the process of knowledge transfer based on multi-cycle and multi-stage simulation. Results indicate the following conclusions.1)Knowledge stickiness shows different evolution characteristics owing to the influence of different factors and is positively correlated with characteristics and the cognitive structure of cognitive factors. The higher internal covert gender,complexity and modularity degree of knowledge itself has,the higher the knowledge stickiness is. Knowledge stickiness increases with the growing of knowledge characteristic and presents the first fast and then slowing down change trend,and only adjusting parameter λ which is controlled between zero and two can it effectively promote the transfer of knowledge. Nevertheless,the greater the cognitive gap between both sides is,the lower the cognitive fitθ is and the higher the knowledge stickiness is,and along with the growth of cognitive fitθ knowledge stickiness shows the first fast at a constant rate and then essentially unchanged,finally shows the trend of exponential growth. 2)A favorable transfer situation including incentive mechanism,external pressure and team openness can effectively reduce knowledge stickiness and promote knowledge transfer,and knowledge stickiness presents a first fast and then remains constant,at last maintain sacritical value along with the growth of incentive mechanism and external pressure. However,they may increase the burden of research personnel and lead to the phenomenon of free-riding behavior,therefore they need to be controlled in an appropriate range. As an informal mechanism of social control,team openness affects the psychological state and behavior of team members and the higher degree of team openness is more conducive to reducing the knowledge stickiness caused by personal relationship and emotion between members. 3)The higher the individual knowledge potential energy,the more the amount of knowledge transfer is. The difference of knowledge potential energy among different individuals are radical factors that promote knowledge flow in academic teams. Individuals with higher knowledge potential energy have better knowledge spillover and transfer effect. Meanwhile,knowledge absorptive capacity and knowledge transfer are correlated in a positive fashion,and the stronger the knowledge absorptive capacity is,the faster the growth of knowledge.

    Research on the influence factors of knowledge stickiness in academic teams to lessen the negative effect on knowledge transfer is possible and conducive to guide the construction of academic teams and improve scientific research ability and has certain instruction significance in knowledge management and innovation theory. Through considering the evolution path of knowledge stickiness and impact mechanism on the performance of cooperative innovation to obtain the best optimal value region of all parameters,more effective knowledge transfer strategy and innovation approach can be achieved. 6 figs. 1 tab. 32 refs.