Methodology for the Development of Knowledge Management on Organizational Performance Based on Employees’ Professional Competence
Autori:
Yuejun HUANG, Aimin YAN, Richard SMITH
Cod: ISSN: 1583-3410 (print), ISSN: 1584-5397 (electronic)
Dimensiuni: pp. 85-96
How to cite this article:Huang, Y., Yan, A., Smith, R. (2019). Methodology for the Development of Knowledge Management on Organizational Performance Based on Employees’ Professional Competence. Revista de Cercetare si Interventie Sociala, 64, 85-96. DOI: https://doi.org/10.33788/rcis.64.7 |
Abstract:
The 21st century is the age for knowledge workers, when knowledge management is the major business issue. It becomes the major issue for an enterprise maximizing the knowledge value with effective knowledge management. A hi-tech industry has to learn various types of regulations and understand administrative procedure of relevant regulations to present the knowledge. For this reason, a hi-tech industry requires highly professional knowledge and skills as well as strict and careful professional attitudes. The professional competence of employees in hi-tech industries is the combination of knowledge, skills, and experience and requires long-term accumulation through organizational learning that it is the most precious resource of a hi-tech industry to create work value and provide quality service. In this case, a hi-tech industry, with professional knowledge as the capital, applying knowledge management to effectively manage knowledge reveals significant meanings. By discussing domestic and international literatures, theories of knowledge management are studied in-depth to conclude the effect of knowledge management on professional competence and organizational performance. Employees of hi-tech industries in Shanghai are preceded the questionnaire survey in this study, and the retrieved questionnaire data are proceeded statistical analyses for the conclusion and suggestions.
Keywords:
knowledge management, professional competence, organizational performance, hi-tech industry.
DOI: https://doi.org/10.33788/rcis.64.7
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