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中国管理科学 ›› 2019, Vol. 27 ›› Issue (7): 195-202.doi: 10.16381/j.cnki.issn1003-207x.2019.07.019

• 论文 • 上一篇    下一篇

考虑遗忘机制的企业隐性知识传播SIR模型研究

杨湘浩1, 段哲哲2,3, 王筱莉1   

  1. 1. 上海工程技术大学管理学院, 上海 201620;
    2. 深圳大学城市治理研究院, 广东 深圳 518128;
    3. 台湾政治大学社会科学院, 台湾 台北 11605
  • 收稿日期:2017-08-25 修回日期:2018-05-22 出版日期:2019-07-20 发布日期:2019-08-01
  • 通讯作者: 段哲哲(1987-),男(汉族),湖北天门人,深圳大学城市治理研究院助理教授,台湾政治大学博士生,研究方向:公共管理、信息管理,E-mail:515895440@qq.com. E-mail:515895440@qq.com
  • 基金资助:
    教育部人文社会科学研究规划基金资助项目(17YJA630120);国家自然科学青年基金资助项目(71503163);上海市哲学社科规划青年基金资助项目(2015EGL007,2017EGL008)

Enterprise Tacit Knowledge Propagation SIR Model with Consideration of Forgetting Mechanisms

YANG Xiang-hao1, DUAN Zhe-zhe2,3, WANG Xiao-li1   

  1. 1. School of Management Studies, Shanghai University of Engineering Science, Shanghai 201620, China;
    2. Institute of Urban Governance of Shenzhen University, Shenzhen 518128, China;
    3. School of Social Science, Chengchi University, Taibei 11605, China
  • Received:2017-08-25 Revised:2018-05-22 Online:2019-07-20 Published:2019-08-01

摘要: 隐性知识及其传播是形成现代企业核心竞争力的重要基础。本文首先构建了包含学习者、传播者和免疫者三类传播主体,且考虑遗忘机制的企业隐性知识传播SIR复杂网络模型;其次,对模型进行稳态分析,从而计算出隐性知识在企业传播开来的传播率阈值λc,当隐性知识传播率λ>λc时,考察的隐性知识能够在企业内部传播开来,否则考察的隐性知识将在企业内部逐渐消失;最后,应用Matlab对模型参数进行仿真研究。研究发现:企业内部隐性知识传播受到遗忘因素和网络结构的影响,在网络结构确定的情况下,遗忘率越大,企业内部隐性知识的传播越缓慢,甚至逐渐消失。为了提高隐性知识传播效果,企业应该定期进行干预培训,降低遗忘机制对隐性知识传播的影响。

关键词: 隐性知识, 复杂网络, 知识传播, 遗忘机制, 传染病模型

Abstract: Tacit knowledge and its spread are important foundations that constitute the core competitiveness of modern enterprises. Tacit knowledge cannot be explained by language. They can only be demonstrated to prove that it is an existing knowledge. The way to learn tacit knowledge is to comprehend and practice. The existing researches on the transmission of tacit knowledge mainly focus on qualitative research, and the number of the quantitative research is less. On the other hand, in the existing tacit knowledge simulation model, there is less discussion about the forgetting mechanism in tacit knowledge dissemination. The SIR model used in the epidemiological model of this study is suitable for simulating the propagation of tacit knowledge within a company. Firstly, the SIR model of a complex network of corporate tacit knowledge dissemination, which includes infected, susceptible, and removed persons, is considered. Secondly, the steady-state analysis of the model is used to calculate the propagation rate threshold of tacit knowledge dissemination in the enterprise which is λc. When the rate of tacit knowledge transmission is λ>λc, the tacit knowledge investigated can be disseminated within the enterprise, otherwise,the tacit knowledge investigated will gradually disappear within the company. Again, the Runge-Kuntt method is used to solve the above differential equations, and the impact of model parameters on the propagation of tacit knowledge is analyzed. Finally, Matlab is applied to numerical simulation of model parameters. It's found that:the propagation of tacit knowledge within the company is affected by the factors of forgetting and the network structure. Under the condition that the network structure is determined, the greater the rate of oblivion is, the slower the dissemination of tacit knowledge within the company is, or even disappears. In order to improve the effect of tacit knowledge dissemination, companies should regularly conduct intervention training to reduce the impact of forgetting mechanisms on the spread of tacit knowledge. This model has reference value for strengthening the enterprise knowledge management, cultural heritage, education and learning, rumors dissemination, and dissemination of public opinion to develop effective market strategies.

Key words: tacit knowledge, complex networks, knowledge propagation, forgetting mechanism, epidemic model

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