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A Study on the Knowledge Diffusion of Communities of Practice Based on the Weighted Smallworld Network

机译:基于加权小河网络的实践社区知识扩散研究

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—Communities of practices (Cops) can improve organizational performance by effectively promoting knowledge diffusion, and recently they were receiving increasing attention from organizations in abroad. The aim of our study was to further explore how to cultivate and support Communities of practice. According to some literatures, we first studied what is the most important influencing factor of knowledge diffusion in the communities of practice. On the basis of the weighted smallworld network, we made a study on the knowledge diffusion network of communities of practice, and proposed to use characteristic relationship length and clustering coefficient of community members to token knowledge diffusion frequency and centralization respectively, and elaborated the relationship between them and knowledge diffusion of community. We found that, a relatively small characteristic relationship length and a relatively big clustering coefficient can make knowledge diffusion frequency and centralization maintain in a moderately big level in the communities of practice, which can promote effectively knowledge diffusion and then increase overall knowledge level of community, and provided some useful theoretical guidance for organizations to cultivate and support communities of practice.
机译:- 惯例(警察)可以通过有效促进知识扩散,最近从国外的组织增加,他们可以提高组织绩效。我们的研究目的是进一步探索如何培养和支持惯例社区。根据一些文献,我们首先研究了练习社区中知识扩散最重要的影响因素是什么。在加权小河网络的基础上,我们对实践社区的知识扩散网络进行了研究,并提出使用社区成员的特征关系长度和聚类系数分别令知识扩散频率和集中化,并阐述了关系之间的关系他们和社区的知识扩散。我们发现,相对较小的特征关系长度和相对大的聚类系数可以使知识扩散频率和集中化在实践社区中的中等大层面上维持,这可以有效地促进知识扩散,然后提高社区的整体知识水平,然后增加社区的整体知识水平为组织提供了一些有用的理论指导,以培养和支持惯例社区。

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