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群体成员知识传播复杂网络研究

发布时间:2018-12-09 16:09
【摘要】:知识传播存在于任何一个群体(包括现实群体和虚拟群体),群体成员间的知识传播根植于组织群体的结构、制度、文化和各项管理中。随着全球经济社会的发展,知识传播会改善企业创新能力进而提高企业绩效[1],在不同时间、空间和行业背景下进行的已有研究验证这一命题。因而,随着市场竞争的加剧,组织也越来越关注软资源,强调人际互动、知识共享,组织的知识转移、知识传导的有效性等受到高度重视。而研究群体成员的知识传播对研究组织诊断和完善组织行为,提升组织自我更新能力具有重要意义。而复杂网络是研究复杂系统的一门新兴学科,用来对群体成员的知识传播进行研究具有重要的理论意义。 本文基于群体成员知识传播度和知识传播复杂网络,分析了群体成员的整体知识传播状况研究,在获得5个现实群体和5个虚拟群体共133个成员的有效问卷调查数据基础上,采用SPSS以及Ucinet对取得的数据进行了分析;建立了知识传播度的关系矩阵,得到了不同知识传播度的群体成员知识传播复杂网络;计算了不同群体成员知识传播复杂网络的结构特性如聚集系数、网络平均距离、网络中心势等;并将虚拟群体成员知识传播网络与现实群体成员知识传播网络进行了比较;分析了影响群体成员知识传播网络结构的因素。 对各个群体成员的知识传播复杂网络的结构和特性进行分析得出:群体成员的传播意愿、地位、信任和了解因素对群体成员知识传播复杂网络的结构和统计特性有影响。虚拟群体和现实群体知识传播网络在网络的聚集系数上不同的特性,现实群体的网络聚集系数普遍要高于虚拟群体,而网络平均距离要则小于后者。而在很高或很低的知识传播程度下,网络的中心趋势则是虚拟群体的大一些;在知识传播程度适中的情况下,现实群体的网络中心趋势大一些。
[Abstract]:Knowledge dissemination exists in any group (including real group and virtual group). Knowledge communication among group members is rooted in the structure, system, culture and management of organization group. With the development of global economy and society, knowledge dissemination will improve the innovation ability of enterprises and then improve the performance of enterprises [1], which has been verified by existing research in different time, space and industry background. Therefore, with the aggravation of market competition, organizations pay more and more attention to soft resources, emphasizing interpersonal interaction, knowledge sharing, organizational knowledge transfer and the effectiveness of knowledge transmission. The knowledge dissemination of the members of the research group is of great significance to the study of organization diagnosis and improvement of organizational behavior and the ability of organization self-renewal. Complex network is a new subject to study complex systems. It is of great theoretical significance to study the knowledge transmission of group members. Based on the knowledge transmission degree of group members and the complex network of knowledge dissemination, this paper analyzes the overall knowledge transmission status of group members. Based on the effective questionnaire survey data of 5 realistic groups and 5 virtual groups, SPSS and Ucinet are used to analyze the obtained data. The relation matrix of knowledge transmission degree is established, and the complex network of knowledge transmission of group members with different knowledge spreading degree is obtained. The structural characteristics of the complex network of knowledge dissemination for different group members, such as aggregation coefficient, network average distance, network center potential and so on, are calculated, and the knowledge dissemination network of virtual group members is compared with that of real group members. The factors influencing the network structure of knowledge communication among group members are analyzed. Based on the analysis of the structure and characteristics of the complex network of knowledge dissemination among group members, it is concluded that the communication will, status, trust and understanding of the members of the group have an influence on the structure and statistical characteristics of the complex network. The network aggregation coefficient of virtual group is higher than that of virtual group, and the average distance of network is smaller than that of virtual group. In the case of high or very low degree of knowledge dissemination, the central trend of network is larger than that of virtual group, and the trend of network center of real group is larger when the degree of knowledge dissemination is moderate.
【学位授予单位】:重庆大学
【学位级别】:硕士
【学位授予年份】:2011
【分类号】:G302

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