Tien Ha Duong, My and Van Nguyen, Diep and Thanh Nguyen, Phong (2019): Using Fuzzy Approach to Model Skill Shortage in Vietnam’s Labor Market in the Context of Industry 4.0. Published in: Engineering, Technology & Applied Science Research , Vol. 10, No. 03 (31 June 2020): pp. 5864-5868.
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Abstract
Human resources development is one of the main issues in the socio-economic development strategy and the transform of any region in the context of Industry 4.0. However, Vietnamese human resources have been poorly evaluated in the areas of quality, lack of dynamism, and creativity. Therefore, this paper presents a fuzzy logic approach to ranking seven skills shortage in Vietnam’s Labor Market, namely lifelong learning, adaptive capacity, information technology capacity, creativity and innovation capacity, problem-solving capacity, foreign language competency, and organizing and managing competency. The results showed that the problem-solving skill has the largest gap between an enterprise’s requirements and the actual response of employees.
Item Type: | MPRA Paper |
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Original Title: | Using Fuzzy Approach to Model Skill Shortage in Vietnam’s Labor Market in the Context of Industry 4.0 |
English Title: | Using Fuzzy Approach to Model Skill Shortage in Vietnam’s Labor Market in the Context of Industry 4.0 |
Language: | English |
Keywords: | fuzzy logic; industry 4.0; human resources; skill shortage; Vietnam |
Subjects: | B - History of Economic Thought, Methodology, and Heterodox Approaches > B1 - History of Economic Thought through 1925 > B16 - Quantitative and Mathematical F - International Economics > F6 - Economic Impacts of Globalization J - Labor and Demographic Economics > J0 - General > J01 - Labor Economics: General O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O14 - Industrialization ; Manufacturing and Service Industries ; Choice of Technology |
Item ID: | 103512 |
Depositing User: | Dr. Phong Thanh Nguyen |
Date Deposited: | 21 Oct 2020 06:45 |
Last Modified: | 21 Oct 2020 06:45 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/103512 |