【作者】 高杨；

【导师】 毛清华；

【作者基本信息】 燕山大学 ， 企业管理， 2012， 硕士

【摘要】 随着知识经济的迅猛发展以及管理理念的不断的升华，企业的组织架构逐渐趋向于扁平化，虚拟团队这种能够适应外部环境复杂性，多样性和不确定性的新型的人力资源组织模式，满足了组织间的协作和有效配置资源的需求，被业界广泛关注并应用。同时，当今社会知识已经跃升为非常重要的生产要素，成为企业获取长期竞争优势的重要战略资源，知识管理的重要性与日俱增。因此，如何促进并提升虚拟团队知识共享水平成为企业管理领域的研究重点问题之一。首先，本文回顾了相关理论基础，包括虚拟团队、社会网络、知识共享的相关概念及其特征；对三者之间的内在联系进行了分析，具体内容包括分析国内外相关研究，在阅读大量文献资料的基础上，结合虚拟团队本身和知识共享过程的特征，归纳总结出了相应知识共享影响因素；提出了虚拟团队知识共享的障碍问题；构建基于社会网络的虚拟团队知识共享模型，为引入社会网络分析方法打下了基础。其次，对知识共享网络模型进行了定量分析，包括中心度分析，凝聚子群分析和位置角色分析。中心度分析主要从结点中心度，紧密中心度和间距中心度三个维度进行研究，从而识别出虚拟团队网络中的关键人物或子群。凝聚子群分析主要是通过N-派系和团聚度分析，找到整体网络中的关键子网络和子群体。位置和角色分析主要对网络的结构等价性进行测量与分析，找出位置角色相似的行动者。最后，在数据分析的基础上提出了促进虚拟团队知识共享的若干建议。利用高中心度成员，优化网络结构提升知识共享水平；以关键子群为基础建立知识共享网络中的知识共同体及平台；将相似行动者分到互斥的派别中，从而加强网络中小团体间知识共享的频率。并对本地区的海湾安全技术公司进行了实证研究。更多还原

【Abstract】 With the rapid development of the knowledge-based economy and the continuousupgrading of the management philosophy, the organizational structure of the company isgradually moving to flat, and virtual team, as a new organizational model of humanresource that can adapt to the complexity, diversity and uncertainty of the externalenvironments, meets the needs of collaboration among organizations and the effectiveallocation of resources, arouses widely attention in the industry and is applied.Meanwhile, in today’s social knowledge has emerged as a very important productionfactor and become an important strategic resource to obtain long-term competitiveadvantage, so the importance of knowledge management increase every day. Therefore,how to promote and enhance the level of knowledge sharing in virtual team becomes akey research issue in the field of enterprise management.Firstly, this paper reviews the relevant theories, including related concepts and theircharacteristics of virtual teams, social networks and knowledge sharing; analyses theinternal relations among social networks, virtual teams and the knowledge sharing,including analysis for the domestic and foreign relevant research and on the basis ofreading a large number of literatures, combined with the characteristics of virtual teamand knowledge sharing process, summarize the knowledge sharing influence factors,propose virtual team knowledge sharing barriers and problems, build virtual teamknowledge sharing model based on social networks. Lay the foundation for introducingsocial network analysis method.Secondly, carry out quantitative centrality analysis, cohesive subgroup analysis andpositions analysis to the virtual team knowledge sharing network model. Centralityanalysis, mainly study from the three dimensions of node centrality, closeness centralityand betweenness centrality, so can identify key nodes or sub-groups in the virtual teamnetwork. Cohesive subgroup analysis, mainly through N-cliques analysis and cohesionanalysis to find some sub-networks and sub-groups in the overall network Position and role analysis is major to measure structural equivalence of network, identify the actorsbeing similar in position.Finally, on the basis of data analysis many suggestions are proposed on how toimprove knowledge sharing in virtual team. Using high centrality members to optimizethe network structure and enhance knowledge sharing level, build the knowledgecommunity and platform based on key subgroups in the knowledge-sharing network,assign similar actors to mutually exclusive cliques, thereby strengthening the knowledgesharing frequencies among small groups in the network And do an empirical study to theGulf Security Technology Co. Ltd in the local region.更多还原