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Industry 4.0 competencies: a model for the Vietnamese workforce
Industrial and Commercial Training ; ahead-of-print(ahead-of-print):19, 2021.
Article in English | Web of Science | ID: covidwho-1583891
ABSTRACT
Purpose This study aims to develop a competency model for the Vietnamese workforce in the era of Industry 4.0. Design/methodology/approach A combination of an online survey and a Delphi study was conducted to identify a set of skills, abilities, knowledge and personalities that are critical for effective performance in the future workplace. Findings A set of 26 competencies was identified. Similar to previous findings in the context of developed countries, the set centres around a group of competencies commonly called "21st century competencies". It also includes characteristics unique to a developing nation. Research limitations/implications The proposed framework of competencies may not cover all human capabilities necessitated by the workplace and may include items with overlapping definitions. The study only represents the view of the business community, and its survey sample was limited in size and location. The impact of COVID-19 on the competency model was not explicitly covered during the study. Practical implications The competency model could serve as a basis for the educator to reform curricula, the policy maker to devise policies and the employer to develop training programmes. It can be used as a reference for other nations at similarly-developmental level. Originality/value The present study is among a few empirical studies regarding a model for Industry 4.0 competencies in the context of low middle-income countries and probably provides one of the first Industry 4.0 competency models for Vietnam. It also provides a novel framework for identifying and analyzing competencies.
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Full text: Available Collection: Databases of international organizations Database: Web of Science Language: English Journal: Industrial and Commercial Training Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Web of Science Language: English Journal: Industrial and Commercial Training Year: 2021 Document Type: Article