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Article type: Research Article
Authors: Su, Jiafua; b | Yang, Yub; * | Duan, Ranc
Affiliations: [a] Chongqing Key Laboratory of Electronic Commerce and Supply Chain System, Chongqing Technology and Business University, Chongqing, China | [b] The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China | [c] Faculty of Arts, Chongqing Technology and Business University, Chongqing, China
Correspondence: [*] Corresponding author. Yu Yang, The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, Shangzhengjie No. 174, 400030, China. E-mail: yuyang@cqu.edu.cn.
Abstract: 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.
Keywords: Knowledge-based organization, knowledge dissemination, SEIR model, heterogeneity, cellular automata
DOI: 10.3233/JIFS-162116
Journal: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 4, pp. 2087-2097, 2018
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