AUTHOR=Liang Qianqian , Guo Lingling , Shen Jianwei 

TITLE=Dynamical mechanism of tacit knowledge dissemination based on newman-watts network

JOURNAL=Frontiers in Physics

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2022.963640

DOI=10.3389/fphy.2022.963640

ISSN=2296-424X

ABSTRACT=The diffusion of tacit knowledge subjects has an essential influence on tacit knowledge
dissemination. The introduction of diffusion in the traditional diffusion model does not lead
to change in the dynamical behavior of the diffusion system. In this study, tacit knowledge
dissemination model is proposed by using a SIR model. The stable dissemination conditions
of tacit knowledge are clarified through the stability analysis and network dynamics analysis.
According to the characteristics of enterprise alliance, Newman-Watts(NW) networks are
constructed to study the role of diffusion between knowledge learners and knowledge
disseminators in periodic and local dissemination. The influence of network structure on the
dynamical behavior of the network organization system is shown by the network structure
entropy(NSE). The results indicate that network structure entropy and diffusion can induce the
emergence of both periodic and local dissemination behaviors. The diffusion of knowledge
learners becomes the key factor of periodic dissemination. This model reveals the dissemination
mechanism of tacit knowledge, which can guide significance for effectively accelerating tacit
knowledge dissemination and improving the core competitiveness of the enterprise.