Evaluation of conventional and industry 4.0 manufacturing work design factors for performance based on personal characteristics
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 pe...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit Universiti Kebangsaan Malaysia
2022
|
Online Access: | http://journalarticle.ukm.my/20120/1/55173-192001-1-PB.pdf http://journalarticle.ukm.my/20120/ https://ejournal.ukm.my/gmjss/issue/view/1540 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my-ukm.journal.20120 |
---|---|
record_format |
eprints |
spelling |
my-ukm.journal.201202022-10-18T00:45:10Z http://journalarticle.ukm.my/20120/ Evaluation of conventional and industry 4.0 manufacturing work design factors for performance based on personal characteristics Bugvi, Salman Abubakar Mughal, Khurram Hameed Bugvi, Ayesha Siddiqa Jamil, Muhammad Fawad Mehmood, Qaisar 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 Penerbit Universiti Kebangsaan Malaysia 2022 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/20120/1/55173-192001-1-PB.pdf 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 https://ejournal.ukm.my/gmjss/issue/view/1540 |
institution |
Universiti Kebangsaan Malaysia |
building |
Tun Sri Lanang Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Kebangsaan Malaysia |
content_source |
UKM Journal Article Repository |
url_provider |
http://journalarticle.ukm.my/ |
language |
English |
description |
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 |
format |
Article |
author |
Bugvi, Salman Abubakar Mughal, Khurram Hameed Bugvi, Ayesha Siddiqa Jamil, Muhammad Fawad Mehmood, Qaisar |
spellingShingle |
Bugvi, Salman Abubakar Mughal, Khurram Hameed Bugvi, Ayesha Siddiqa Jamil, Muhammad Fawad Mehmood, Qaisar Evaluation of conventional and industry 4.0 manufacturing work design factors for performance based on personal characteristics |
author_facet |
Bugvi, Salman Abubakar Mughal, Khurram Hameed Bugvi, Ayesha Siddiqa Jamil, Muhammad Fawad Mehmood, Qaisar |
author_sort |
Bugvi, Salman Abubakar |
title |
Evaluation of conventional and industry 4.0 manufacturing work design factors for performance based on personal characteristics |
title_short |
Evaluation of conventional and industry 4.0 manufacturing work design factors for performance based on personal characteristics |
title_full |
Evaluation of conventional and industry 4.0 manufacturing work design factors for performance based on personal characteristics |
title_fullStr |
Evaluation of conventional and industry 4.0 manufacturing work design factors for performance based on personal characteristics |
title_full_unstemmed |
Evaluation of conventional and industry 4.0 manufacturing work design factors for performance based on personal characteristics |
title_sort |
evaluation of conventional and industry 4.0 manufacturing work design factors for performance based on personal characteristics |
publisher |
Penerbit Universiti Kebangsaan Malaysia |
publishDate |
2022 |
url |
http://journalarticle.ukm.my/20120/1/55173-192001-1-PB.pdf http://journalarticle.ukm.my/20120/ https://ejournal.ukm.my/gmjss/issue/view/1540 |
_version_ |
1748181769887154176 |
score |
13.1944895 |