Evaluation of conventional and industry 4.0 manufacturing work design factors for performance based on personal characteristics

Bugvi, Salman Abubakar and Mughal, Khurram Hameed and Bugvi, Ayesha Siddiqa and Jamil, Muhammad Fawad and Mehmood, Qaisar (2022) Evaluation of conventional and industry 4.0 manufacturing work design factors for performance based on personal characteristics. Geografia : Malaysian Journal of Society and Space, 18 (3). pp. 1-22. ISSN 2180-2491

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Official URL: https://ejournal.ukm.my/gmjss/issue/view/1540

Abstract

Performance of workers can be improved by effective design of work. Several work design factors, physiological, psychological, technological, organizational and social, have been identified in research literature. These factors influence the work in different forms, especially in combination with personal characteristics of workers. Manufacturing technologies are also changing with adoption of industry 4.0 practices. The objective of the research was to test whether workers with different personal characteristics had different relationships with work design factors in the conventional setting. The findings for the current conventional setup are extrapolated on an industry 4.0 work design model with important insights and observations. Managerial implications were inferred from the results which indicated age, education and family size as important variables affecting supervision (Mean

Item Type:Article
Keywords:Human resource; Industry 4.0; Personal characteristics; Production worker; Work design
Journal:Geografia ; Malaysian Journal of Society and Space
ID Code:20120
Deposited By: ms aida -
Deposited On:13 Oct 2022 00:39
Last Modified:18 Oct 2022 00:45

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