Page 157 - JOURNAL OF LIBRARY SCIENCE IN CHINA 2018 Vol. 43

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Extended English abstracts of articles published in the Chinese edition of Journal of Library Science in China 2017 Vol.43 157

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