研发项目知识网络形成机理研究

发布时间：2018-01-28 03:29

本文关键词： 研发项目知识网络复杂网络网络形成机理　出处：《吉林大学》2017年硕士论文　论文类型：学位论文

【摘要】：知识网络是知识链研究领域的核心问题之一,相比传统知识管理方式,知识链管理更注重知识流在各知识活动中形成的链条或网状结构,同时也注重各项知识活动在组织中循环过程。知识网络的形成受到多方因素影响,对知识网络的连接结构和节点状态变化产生很大影响,因素作用具有复杂性。活跃在计算机领域的复杂网络动力学对信息传播、网络演化以及网络混沌等现象有较为深刻的解释,在生态网络、因特网以及道路交通网等领域已有较为充分的研究,为知识网络形成机理的解释提供了理论支撑。本文认为知识个体的活动影响网络关系,网络关系影响网络绩效。因此本文研究的重点在于先对影响知识网络形成的条件定性解释,再用复杂网络相关理论和方法建模定量评价。文章首先对知识个体的各项知识活动做出介绍,并提出知识链结构对项目知识网络形成具有重要作用,接下来结合研发项目背景和特征从知识异质性、任务多样性、知识流动氛围和知识管理制度四个方面识别出14个影响知识网络形成的因素,分别对每个因素对知识网络形成的影响深入探讨。在此基础上,借鉴复杂网络模型建立规则,建立符合研发项目实际的复杂知识网络演化模型,提出条件假设和评价指标,从网络物理属性和知识水平两个层面衡量知识网络状态,采用专家打分以及重要文献参考等方式对相关参数进行设定。模型建立完成后,设置由50位成员组成的研发项目团队,将其代入复杂知识网络模型进行仿真分析,利用Netlogo软件观察知识网络形态变化以及各项指标,得出项目知识水平的变化,识别出成员中对知识网络形成具有重要影响程度的关键因素,对研发项目知识网络形成过程做出解释。
[Abstract]:Knowledge network is one of the core problems in the field of knowledge chain research. Compared with traditional knowledge management, knowledge chain management pays more attention to the chain or network structure formed by knowledge flow in various knowledge activities. At the same time, it also pays attention to the cycle process of knowledge activities in the organization. The formation of knowledge network is influenced by many factors, which has great influence on the connection structure and node state change of knowledge network. The complex network dynamics active in the field of computer has a profound explanation for the phenomena of information transmission, network evolution and network chaos, etc., in the ecological network. The research on the Internet and road traffic network has provided theoretical support for the explanation of the formation mechanism of the knowledge network. This paper holds that the activities of the knowledge individual affect the network relationship. Network relationships affect network performance. Therefore, the emphasis of this paper is on the qualitative explanation of the conditions that affect the formation of knowledge networks. Then quantitative evaluation is established by using the related theories and methods of complex networks. Firstly, the knowledge activities of knowledge individuals are introduced, and the knowledge chain structure is proposed to play an important role in the formation of project knowledge networks. Then combined with the background and characteristics of R & D projects from the knowledge heterogeneity, task diversity, knowledge flow atmosphere and knowledge management system to identify 14 factors affecting the formation of knowledge networks. The influence of each factor on the formation of knowledge network is discussed in depth. On this basis, the complex knowledge network evolution model is established according to the actual situation of R & D project by using the rules of complex network model for reference. The conditional hypothesis and evaluation index are put forward to measure the state of knowledge network from two aspects of network physical attribute and knowledge level. After the establishment of the model, a research and development project team consisting of 50 members will be set up. It is added to the complex knowledge network model to simulate and analyze, and the change of knowledge level of the project is obtained by using Netlogo software to observe the change of knowledge network form and every index. The key factors which have important influence on the formation of knowledge network are identified, and the process of knowledge network formation of R & D project is explained.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F272

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