A CA-based heterogeneous model for knowledge dissemination inside knowledge-based organizations

摘要

Effective knowledge dissemination plays a vital role for the success of knowledge-based organizations (KBO). From the view of the micro knowledge exchange among individuals, this paper aims to study the process and rules of knowledge dissemination within KBO. First, consulting the SEIR epidemic propagation, this paper divides the individuals into different knowledge statuses, and depicts the process of knowledge dissemination employing the thought of epidemic spread. Considering the influence of individual heterogeneity on knowledge dissemination, this paper develops a heterogeneous cellular automata method to build the knowledge dissemination model. Through simulation of the proposed model, we study the impacts of the proportion of initial knowledge disseminators, the distribution pattern of initial knowledge disseminator and knowledge accessibility among individuals on knowledge dissemination. The results reveal some valuable management enlightenments about how to improve the knowledge dissemination performance in KBO, which are helpful to the managers and decision makers to effectively carry out knowledge management.