Career Path Choice in the Industry 4.0 using Grey Decision Making

Hung The Nguyen, Bao Quoc Lam, Quyen Le Hoang Thuy To Nguyen, Phong Thanh Nguyen and Vy Dang Bich Huynh

MPRA Paper from University Library of Munich, Germany

Abstract: Career path choice was an important decision in each individual life. Industry 4.0 has brought new challenges to a career path with much emphasis on smart instead of hard work. Globalization has also challenged Confucian culture in Vietnam and led to the change in the criteria of career path choice. The objective of this research was to explore and rank the criteria for career path choice in the context of Ho Chi Minh City, Vietnam. The innovative grey decision-making method, namely Grey Analytical Hierarchy Process (GAHP), was employed to reach the research objectives. The data of 30 experts who were researchers and practitioners in human resources were purposively selected to be used for the analysis. Research results showed that the hierarchical model of career path choice in the Vietnamese context had three levels, in which the first level is the goal level. The second level included three main criteria with the priority orders as follows: (1) work diversity, (2) job prospects, and (3) family preference. Further, the ranking was made with thirteen sub-indicators in the third level of the hierarchical model. The findings reflected the great changes in career path choice criteria, switching to work diversity from traditionally Confucian values with much reliance on family preference and job prospects in the public sector. This implied a proper performance of competency-based education for employees to meet the labor market demand of the private sector.

Keywords: Career path; decision making; Ho Chi Minh City; grey system theory; grey AHP; industry 4.0; Vietnam (search for similar items in EconPapers)
JEL-codes: C6 D14 I31 L8 O14 (search for similar items in EconPapers)
Date: 2022-06, Revised 2022-09
New Economics Papers: this item is included in nep-dcm, nep-des and nep-sea
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Published in Journal of System & Management Sciences 12.5(2022): pp. 268-281

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