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Application of multivariate statistics and 3D visualization analysis in tacit knowledge diffusion map
Displays ( IF 3.7 ) Pub Date : 2021-08-13 , DOI: 10.1016/j.displa.2021.102062
Hongru Yang 1 , Jiajun Li 1
Affiliation  

Tacit knowledge is an important factor for enterprises and institutions to enhance their knowledge innovation and value-added capabilities, and it is also a basic link to enhance organizational learning capabilities. With the development of technology, the dissemination of tacit knowledge has increasingly shown complex and dynamic trends. In order to make the tacit knowledge in the enterprise better circulate and generate greater economic value, therefore, this paper proposes a study on the diffusion map of tacit knowledge based on multivariate statistics and 3D visualization analysis. First of all, this paper analyzes the internal relationship between organizational learning and organizational tacit knowledge integration and organizational tacit knowledge innovation, and combines multiple statistical methods to propose an organizational tacit knowledge integration method based on tacit knowledge management. Secondly, we combine 3D visualization and generative confrontation network methods to analyze the data of tacit knowledge dissemination, and visualize the distribution of knowledge dissemination in three dimensions. In the simulation experiment test, this paper reveals that the spreading efficiency of tacit knowledge in the network is affected by related factors. Through this model, we hope to explore the behavioral laws of different types of nodes in the network and propose effective countermeasures to improve the efficiency of knowledge dissemination.



中文翻译:

多元统计与3D可视化分析在隐性知识扩散图中的应用

隐性知识是企事业单位提升知识创新和增值能力的重要因素,也是提升组织学习能力的基础环节。随着科技的发展,隐性知识的传播越来越呈现复杂和动态的趋势。为了使企业中的隐性知识更好地流通,产生更大的经济价值,因此,本文提出基于多元统计和3D可视化分析的隐性知识扩散图研究。首先,本文分析了组织学习与组织隐性知识整合与组织隐性知识创新的内在关系,并结合多种统计方法,提出一种基于隐性知识管理的组织隐性知识整合方法。其次,我们结合3D可视化和生成对抗网络方法对隐性知识传播的数据进行分析,从三个维度可视化知识传播的分布。在仿真实验测试中,本文揭示了隐性知识在网络中的传播效率受相关因素的影响。通过该模型,我们希望探索网络中不同类型节点的行为规律,并提出有效的对策,提高知识传播的效率。我们结合3D可视化和生成对抗网络方法对隐性知识传播的数据进行分析,从三个维度可视化知识传播的分布。在仿真实验测试中,本文揭示了隐性知识在网络中的传播效率受相关因素的影响。通过该模型,我们希望探索网络中不同类型节点的行为规律,并提出有效的对策,提高知识传播的效率。我们结合3D可视化和生成对抗网络方法对隐性知识传播的数据进行分析,从三个维度可视化知识传播的分布。在仿真实验测试中,本文揭示了隐性知识在网络中的传播效率受相关因素的影响。通过该模型,我们希望探索网络中不同类型节点的行为规律,并提出有效的对策,提高知识传播的效率。

更新日期:2021-08-17
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