Analysis On Internal Knowledge Flow Network Of Enterprises

The flow and share of knowledge is the important manner for value created by knowledge. Further more, to implementing the sufficiently knowledge share is on the premise of effective flow of knowledge in enterprises. The key point for enterprises acquiring competition advantage is not the static knowledge, but the ability to accelerate effective knowledge transfer and flow. Now, the research on knowledge flow in enterprises is more and more popular for researchers and practitioners. This article raised from the background above. This research focus on solving several issues as below: How to fully describe the mechanism and inherence discipline of knowledge flow in enterprises from any points of view? How to quantificationally estimate the validity of knowledge flow in enterprises? How to improve the weakness of knowledge flow in enterprises to accelerate the effective flow? All of those seems independent, but actually have inherence relationship. It had better select a proper angle, and solve those issues under a systematical theory frame.A knowledge flow network theory system is constructed based on 'society relationship' research paradigm in this article, under which deeply research is expanded on knowledge flow within enterprises. Enterprise itself combines with both organization characters and social network characters, which make the complicated of knowledge flow in enterprise under network structure. Meanwhile, under that theory system, this complexity makes the research on knowledge flow within enterprises with more significance on theory and reality than ever before. Except the foundation of theory system for explaining the mechanism of knowledge flow within enterprises, the research also contains several aspects as below:(1) Quantity analyses and description are performed on internal knowledge flow network of enterprises through social network analysis. Based on the constitution of network structure model, Quantity analyses and description are carried out on estimation the strength of knowledge ties between nodes and the internal knowledge flow network structure of enterprises. The result of quantity analyses will be used to estimate the movement situation of knowledge flow network within enterprises. A case study is carried through taking a high technology company as the background. The case analyzes knowledge flow network of the company based on the 'problem-solution' principle, and finds the weakness of knowledge flow and share within this company.(2) Grounded on the theory and method of complex network, an investigation in network dynamic analysis of internal knowledge flow network of enterprises is carried on, to study the relationship between network structure and network function. According to the features of knowledge flow network, the weighted network evolution model is constructed. The model introduces two parameters, network efficiency and network cost, to evaluate the validity of whole internal knowledge flow network of enterprises. Carried on the simulation analysis using the Matlab language to the model, the analysis result confirmed the internal knowledge flow network of enterprises has "small world effect", simultaneously the model is used to realize the study on efficienty of internal knowledge flow network within enterprises.(3) Taking the improvement of network validity as the goal, this article put forward concrete method to realize the quantity optimization of internal knowledge flow network of enterprises. Evaluating the present efficiency and cost of network, regulateing network structure parameters named p and k to calculate their regulation target value, identifing and improving the immoderate knowledge nodes and knowledge cliques in the network to make the value of p and k coincide with their target value. Put forward an idea to set up an internal knowledge flow network system with high validity, then from threel aspects of the knowledge nodes, the knowledge cliques, the whole network structure to propose the corresponding optimization ways.