[Objective] Tacit knowledge is an important resource for R&D and innovation of major science and technology projects. It is of practical significance to study the simultaneous diffusion of multiple types of interrelated tacit knowledge. [Objective] We proposed a method for evaluating the knowledge distance between scientific teams with the help of knowledge relevance, and constructed a tacit knowledge diffusion model based on the scientific cooperation network. We also investigated the influencing mechanism of knowledge relevance and interaction strategies on the diffusion of tacit knowledge through multi-agent simulation. [Results] In the early stage of dissemination, the speed of knowledge diffusion with strong knowledge relevance was faster than those of weak knowledge relevance. As the difference of knowledge among scientific teams became smaller, and the similarity of knowledge structure between scientific teams increased, and the influence of knowledge relevance on knowledge diffusion gradually weakened. The interaction strategy between subjects had greater impacts on knowledge diffusion. [Limitations] The carrier network of tacit knowledge is a real scientific cooperation network, but its dissemination process was simulated in the lab. [Conclusions] This paper analyzes the dynamic process and effects of tacit knowledge diffusion, and provides suggestions to promote the using of tacit knowledge.
鲁云蒙,刘铁忠. 基于知识关联性的科研合作网络隐性知识扩散模型研究:以重大科技工程为例*[J]. 数据分析与知识发现, 2021, 5(9): 10-20.
Lu Yunmeng,Liu Tiezhong. Diffusion Model for Tacit Knowledge of Scientific Cooperation Network Based on Relevance: Case Study of Major Sci-Tech Projects. Data Analysis and Knowledge Discovery, 2021, 5(9): 10-20.
( Yang Yang, Hou Guangming. Research on Collaborative Innovation Alliance Mode of National Defense Science and Technology Major Project[J]. Science & Technology Progress and Policy, 2014, 31(5):12-15.)
( Kong Decheng, Hou Guangming. Model Research on Multi-level Tacit Knowledge Inheritance of National Defense Science and Technology Major Project: Based on Technology Assembly[J]. Studies in Science of Science, 2012, 30(8):1246-1252.)
( Yang Xianghao, Duan Zhezhe, Wang Xiaoli. Enterprise Tacit Knowledge Propagation SIR Model with Consideration of Forgetting Mechanisms[J]. Chinese Journal of Management Science, 2019, 27(7):195-202.)
( Zeng Deming, Yu Xianyun, Chen Yanli. Modeling and Simulation of Knowledge Transferring Process in Innovation Network Based on Multi-agent[J]. Chinese Journal of Management, 2012, 9(12):1832-1837.)
( Wang Longwei, Song Meige, Li Xiaodong. An Empirical Study of the Effect of Contract Completeness on Tacit Knowledge Acquisition[J]. Science Research Management, 2018, 39(12):53-60.)
( Li Gang. Research on the Tacit Knowledge Transmission Model Based on Core Employee Turnover[J]. Science & Technology Progress and Policy, 2011, 28(20):130-133.)
( Zhu Hongmiao, Zhang Shengtai, Yan Xin. A Study of the Tacit Knowledge Transmission Model in a WeChat Group[J]. Science Research Management, 2019, 40(2):106-115.)
( Zhang Suqi, Gao Xing, Guo Jingjin, et al. A Research on the Collaboration Network of Scientific Project[J]. Science Research Management, 2018, 39(5):86-93.)
[9]
Kermack W O, McKendrick A G. Contributions to the Mathematical Theory of Epidemics: IV. Analysis of Experimental Epidemics of the Virus Disease Mouse Ectromelia[J]. Journal of Hygiene, 1937, 37(2):172-187.
pmid: 20475371
( Yue Zenghui, Xu Haiyun, Fang Shu. Modeling of Knowledge Diffusion in Scientific Collaboration Network Based on Individual Behavior[J]. Journal of the China Society for Scientific and Technical Information, 2015, 34(8):819-832.)
( Zhu Hongmiao, Jin Zhen, Qi Jiayin, et al. Research on Knowledge Spreading Dynamics on Online and Offline Double-layer Coupled Network[J]. Systems Engineering - Theory & Practice, 2020, 40(2):403-414.)
[12]
Cowan R, Jonard N. Network Structure and the Diffusion of Knowledge[J]. Journal of Economic Dynamics and Control, 2004, 28(8):1557-1575.
doi: 10.1016/j.jedc.2003.04.002
[13]
Cowan R, Jonard N, Özman M. Knowledge Dynamics in a Network Industry[J]. Technological Forecasting and Social Change, 2004, 71(5):469-484.
doi: 10.1016/S0040-1625(03)00045-3
[14]
Lin M, Li N. Scale-free Network Provides an Optimal Pattern for Knowledge Transfer[J]. Physica A: Statistical Mechanics and Its Applications, 2010, 389(3):473-480.
doi: 10.1016/j.physa.2009.10.004
( Wang Wenping, Zhang Bing. Emergence Characteristics of Knowledge Flow in Knowledge Networks Under Dynamic Relationship Strengths[J]. Journal of Management Sciences in China, 2013, 16(2):1-11.)
( Zhu Hongmiao, Zhang Shengtai, Jin Zhen, et al. Knowledge Transmission Model on the Coupled Network Formed by WeChat Group and Offline Communication[J]. Systems Engineering-Theory & Practice, 2019, 39(7):1796-1806.)
[17]
Morone P, Taylor R. Knowledge Diffusion Dynamics and Network Properties of Face-to-Face Interactions[J]. Journal of Evolutionary Economics, 2004, 14(3):327-351.
doi: 10.1007/s00191-004-0211-2
( Su Jiafu, Yang Yu, Zhang Na. Study on the Tacit Knowledge Diffusion in Knowledge Collaboration Team Based on Heterogeneous Cellular Automata[J]. Chinese Journal of Management, 2017, 14(2):245-253.)
( Shan Miyuan, Feng Yan, Zhang Renlong. Modeling and Simulation of Knowledge Transfer in Innovative Organization Based on Multi-agent[J]. Science and Technology Management Research, 2014, 34(17):92-95.)
[20]
Kim H, Park Y. Structural Effects of R&D Collaboration Network on Knowledge Diffusion Performance[J]. Expert Systems with Applications, 2009, 36(5):8986-8992.
doi: 10.1016/j.eswa.2008.11.039
( Wu Kai, Zhang Huiying, Zhang Liang. Simulation Analysis of Tacit Knowledge Dissemination in Industrial Cluster[J]. Journal of the China Society for Scientific and Technical Information, 2015, 34(4):371-379.)
( Zhang Haihong, Wu Wenqing. Study on the Emergence of Entrepreneurs' Knowledge Supernetwork in Business Incubator[J]. Chinese Journal of Management, 2017, 14(5):695-703.)
( Xi Yunjiang, Dang Yanzhong, Liao Kaiji. Knowledge Supernetwork Model and Its Application in Organizational Knowledge Systems[J]. Journal of Management Sciences in China, 2009, 12(3):12-21.)
( Zhang Zike. Mechanisms and Dynamics of Information Spreading on Online Social Networks: A State-of-the-Art Survey[J]. Journal of the China Society for Scientific and Technical Information, 2017, 36(4):422-431.)
( Xu Fang, Qu Jing. Construction of Tacit Knowledge Sharing Mode Based on Social Network[J]. Information Studies: Theory & Application, 2018, 41(3):68-72.)
[26]
Zhao L J, Wang J J, Chen Y C, et al. SIHR Rumor Spreading Model in Social Networks[J]. Physica A: Statistical Mechanics and Its Applications, 2012, 391(7):2444-2453.
doi: 10.1016/j.physa.2011.12.008
( Wen Lin, Feng Chanjing. Zhejiang Province Sets Up Expert Groups for Major Science and Technology Projects and Achievement Transformation Engineering[J]. Today Science & Technology, 2011(11):21.)