AI 中文总结
研究公司中隐性知识传播，提出基于物理学热扩散概念及图论的模型，通过定义隐性知识转移图编码问卷数据，可优化课程安排、识别高知识需求员工，有助于公司多方面提升及改进知识管理等。
AI 中文摘要
本文致力于隐性知识传播过程。这种无形资产对以市场为导向的公司获得竞争优势至关重要。提出了一种新颖的隐性知识传播模型，采用物理学中的热扩散概念，还利用了图论及其定义的动力学。定义了一个隐性知识转移图来编码问卷数据，可识别员工学习需求以优化同期课程安排，还能识别高知识需求员工。该模型不限于公司，还给出了学校/大学课程规划示例，有助于公司优化调度、提高运营效率、改善人才管理，识别知识关键源相关风险，改进组织文化和知识管理政策。
英文摘要
This article is devoted to the process of diffusing tacit knowledge. This intangible asset has proven crucial for achieving a competitive advantage among market-oriented companies. A novel model of tacit knowledge diffusion is presented, employing the concept of heat diffusion from physics. Furthermore, graph theory and the dynamics it defines are utilized. We defined a Tacit Knowledge Transfer Graph that encodes data from questionnaires. It enables us to identify employees' learning needs, allowing for the planning of classes within the same period, such as a day, to schedule them optimally. Moreover, the model can be used to identify employees with high knowledge demands. The application is not limited to companies; a simple example of planning classes in a school/university is provided. The presented model can help with optimal scheduling, enhance operational efficiency, and improve talent management within the company. It can also identify risks associated with critical sources of knowledge and help improve organizational culture and knowledge management policy.
Comments57 pages, 8 figures
Journal refJournal of Knowledge Management (2026)
