Discussing "Tacit Knowledge" Again
DOI:
https://doi.org/10.54097/ehss.v14i.8798Keywords:
Tacit knowledge, Knowledge continuum, Hidden knowledgeAbstract
The definition of tacit knowledge is a widely discussed topic, and scholars from different fields and disciplines have provided varying interpretations and definitions. Generally speaking, tacit knowledge refers to knowledge that is difficult to articulate, teach, and express within an individual. However, there is no consensus on the specific definition of tacit knowledge. As research on tacit knowledge deepens, the concept of tacit knowledge becomes more extensive and profound, requiring further refinement and development of its definition. This article integrates existing definitions of tacit knowledge and constructs a tacit knowledge continuum based on the degree of explicitness and socialization. With the introduction of explicitness, various knowledge systems are classified. Finally, the difference between hidden knowledge and tacit knowledge is clarified.
Downloads
References
Polanyi M. The Logic of Tacit Inference [M]. Chicago: University of Chicago Press,1969: 140-144.
Nonaka I, A Dynamic. Theory of Organizational Knowledge Creation [J]. Organization Science, 1994, 5(1):14-37.
Kaiji Liao. Principles and Applications of Knowledge Management (Second Edition) [M]. Tsinghua University Press, 2010:11-12.
Minglu Jin.On the knowledge innovation and knowledge transformation process of enterprises [J]. Nankai Management Review, 1998 (2).
Fanghua Wang. Knowledge Management Theory [M]. Shanxi: Shanxi Economic Publishing House, 1999.
Drucker P F. The New Productivity Challenge[M]. Harvard Business Review, 1991:11-12
Shi Cheng. Research on knowledge field in library tacit knowledge management [J]. Library Science Research, 2014 (05): 32-36. DOI: 10.15941/j.cnki.issn1001-0424.2014.05.010.
Yishan Wu. Tactic Knowledge [EB/OL].
https://blog.sciencenet.cn/blog-1557-554041.html,(2012-4-1) [2022-12-18].
Leping Song. Analysis of library tacit knowledge management based on regional innovation [J]. Library Work and Research,2018(03):64-68. DOI: 10.16384/j.cnki.lwas.2018.03.012.
Lijun Liu, Zuhua Jiang, Xinyu Li. Analysis of multi-level implicit characteristics of empirical tacit knowledge and construction of evolution model [J]. Science and Technology Progress and Countermeasures, 2018,35 (14): 135-141.
Ted Gautschi. The Knowledge Continuum [J]. Design News-Academic Research Library, 1999, 54(12): 170-182.
Yunhua Cao, Yuyuan Zhou. Knowledge community approach and its limitations [J]. Henan Social Sciences, 2009,17 (02): 123-126.
J Clement. Algebra Word Problem Solutions: Thought Processes Underlying A Common Misconception [J]. Journal for Reasearch in Mathematics Educ.,1982, 13(1):151-152.
Xiaofei Ren. Research on tacit knowledge flow of university scientific and technological innovation teams [D]. Harbin Institute of Technology, 2020. DOI: 10.27061/d.cnki. ghgdu.2020.004732.
Shijian Luo, Yunhe Pan, Shangshang Zhu. Implicit knowledge expression based on graphic thinking in product design [J] Journal of Mechanical Engineering, 2007(6): 93-8.
Yi Su, Wen Guo, Aoran Zhang. Reverse transfer of tacit knowledge in enterprise mergers and acquisitions based on big data technology [J]. Scientific Research Management, 2022,43(09): 48-57.DOI: 10.19571/j.cnki.1000-2995.2022.09.006.
Jie Ma, Hongchen Li, Mo Hu, Hengyu Sun. Research on medical tacit knowledge mining based on CART algorithm -- taking medical records of traditional Chinese medicine as an example [J]. Information Science,2021,39(06): 84-91.DOI: 10.13833/j.issn.1007-7634.2021.06.012.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
