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  • 标题:Model of Knowledge Transfer Within an Organisation
  • 本地全文:下载
  • 作者:Agnieszka Kowalska-Styczeń ; Krzysztof Malarz ; Kamil Paradowski
  • 期刊名称:Journal of Artificial Societies and Social Simulation
  • 印刷版ISSN:1460-7425
  • 出版年度:2018
  • 卷号:21
  • 期号:2
  • 页码:1-30
  • DOI:10.18564/jasss.3659
  • 出版社:University of Surrey, Department of Sociology
  • 摘要:Many studies show that the acquisition of knowledge is the key to building the competitive advantage of companies. We propose a simple model of knowledge transfer within the organisation and we implement the proposed model using the cellular automata technique. In this paper the organisation is considered in the context of complex systems whereby the main role in the organisation is played by the network of informal contacts (informal communication). The goal of this paper is to ascertain which factors influence the eiciency and eectiveness of knowledge transfer. Our studies indicate a significant role of initial distribution of chunks of knowledge for the knowledge transfer process, and the results suggest taking action in the organisation to shorten the distance (social distance) between people with dierent levels of knowledge, or determining incentives to share knowledge.
  • 关键词:Knowledge Transfer; Complex Systems; Organisations as Complex Systems; Cellular Automata
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