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| A Review of Knowledge Flow Research |
| Dong Kun1, Xu Haiyun2, Cui Bin3 |
1.Science and Technology Information Research Institute, Shandong University of Technology, Zibo 255049
2.Chengdu Documentation and Information Center, Chinese Academy of Sciences, Chengdu 610041
3.College of Information Science and Technology, Nanjing Agricultural University, Nanjing 210095 |
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Abstract Knowledge flow is the key to facilitating the generation and diffusion of innovation. Tracking and predicting the progress and trends of knowledge flow in a timely manner is an important prerequisite for the comprehensive analysis of the knowledge flow mechanism and the promotion of knowledge that maximizes innovation value. This paper reviews the research on knowledge flow and summarizes their connotations and related concepts, forms and processes, models, influencing factors, and performance evaluation. This study also explores the knowledge flow network construction and the application of social network analysis in the research, as well as prospects for future research. The results show that we need to consider the complexity of knowledge flow, further optimize the knowledge flow model, facilitate the flow of tacit knowledge on the basis of fully understanding the function and value of tacit knowledge, and strengthen the organic combination and application of social network, scientific measurement, and traditional organizational management methods. In addition, we need to explore the network construction methods based on multi-relationship and pay more attention to the practical application of knowledge flow theory in the future.
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Received: 26 August 2019
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