A Quantitative Study on the Relationship of Building Information Modelling (BIM) Implementation on Job Performance in The Malaysian Public Projects

BIM is a collaborative platform that involves several technologies and tools which transform the construction process from traditional methods into a digital representation. However, the implementation of this technology in Malaysia has faced many issues and challenges, including the productivity an...

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Published in:IOP Conference Series: Earth and Environmental Science
Main Author: Abd Shukor A.S.; Rosman A.F.; Khaderi S.S.; Bakri A.S.
Format: Conference paper
Language:English
Published: Institute of Physics 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142213362&doi=10.1088%2f1755-1315%2f1067%2f1%2f012073&partnerID=40&md5=6338a083fa65f1764b133cbb1229b965
id 2-s2.0-85142213362
spelling 2-s2.0-85142213362
Abd Shukor A.S.; Rosman A.F.; Khaderi S.S.; Bakri A.S.
A Quantitative Study on the Relationship of Building Information Modelling (BIM) Implementation on Job Performance in The Malaysian Public Projects
2022
IOP Conference Series: Earth and Environmental Science
1067
1
10.1088/1755-1315/1067/1/012073
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142213362&doi=10.1088%2f1755-1315%2f1067%2f1%2f012073&partnerID=40&md5=6338a083fa65f1764b133cbb1229b965
BIM is a collaborative platform that involves several technologies and tools which transform the construction process from traditional methods into a digital representation. However, the implementation of this technology in Malaysia has faced many issues and challenges, including the productivity and overall project implementation performance. The objective of this research is to determine the relationship of BIM implementation factors on job performance. A total population of 242 professionals which consist of architects, engineers, and quantity surveyors that involved in public project, were chosen using a stratified sampling method and were used as the research sample. Data were collected using the questionnaire method and distributed through Google Form. The research findings from the hierarchical multiple regression found that the four factors studied, namely commitment and knowledge, culture orientation, ICT utilization, and collaborative synergy have a significant positive relationship with job performance. Nonetheless, the research findings are unable to confirm the relationship of the other two variables, which are digital skills and management support. This research has implications for the related theories, professionals in the industry, top management, and other researchers. © 2022 Institute of Physics Publishing. All rights reserved.
Institute of Physics
17551307
English
Conference paper
All Open Access; Gold Open Access
author Abd Shukor A.S.; Rosman A.F.; Khaderi S.S.; Bakri A.S.
spellingShingle Abd Shukor A.S.; Rosman A.F.; Khaderi S.S.; Bakri A.S.
A Quantitative Study on the Relationship of Building Information Modelling (BIM) Implementation on Job Performance in The Malaysian Public Projects
author_facet Abd Shukor A.S.; Rosman A.F.; Khaderi S.S.; Bakri A.S.
author_sort Abd Shukor A.S.; Rosman A.F.; Khaderi S.S.; Bakri A.S.
title A Quantitative Study on the Relationship of Building Information Modelling (BIM) Implementation on Job Performance in The Malaysian Public Projects
title_short A Quantitative Study on the Relationship of Building Information Modelling (BIM) Implementation on Job Performance in The Malaysian Public Projects
title_full A Quantitative Study on the Relationship of Building Information Modelling (BIM) Implementation on Job Performance in The Malaysian Public Projects
title_fullStr A Quantitative Study on the Relationship of Building Information Modelling (BIM) Implementation on Job Performance in The Malaysian Public Projects
title_full_unstemmed A Quantitative Study on the Relationship of Building Information Modelling (BIM) Implementation on Job Performance in The Malaysian Public Projects
title_sort A Quantitative Study on the Relationship of Building Information Modelling (BIM) Implementation on Job Performance in The Malaysian Public Projects
publishDate 2022
container_title IOP Conference Series: Earth and Environmental Science
container_volume 1067
container_issue 1
doi_str_mv 10.1088/1755-1315/1067/1/012073
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142213362&doi=10.1088%2f1755-1315%2f1067%2f1%2f012073&partnerID=40&md5=6338a083fa65f1764b133cbb1229b965
description BIM is a collaborative platform that involves several technologies and tools which transform the construction process from traditional methods into a digital representation. However, the implementation of this technology in Malaysia has faced many issues and challenges, including the productivity and overall project implementation performance. The objective of this research is to determine the relationship of BIM implementation factors on job performance. A total population of 242 professionals which consist of architects, engineers, and quantity surveyors that involved in public project, were chosen using a stratified sampling method and were used as the research sample. Data were collected using the questionnaire method and distributed through Google Form. The research findings from the hierarchical multiple regression found that the four factors studied, namely commitment and knowledge, culture orientation, ICT utilization, and collaborative synergy have a significant positive relationship with job performance. Nonetheless, the research findings are unable to confirm the relationship of the other two variables, which are digital skills and management support. This research has implications for the related theories, professionals in the industry, top management, and other researchers. © 2022 Institute of Physics Publishing. All rights reserved.
publisher Institute of Physics
issn 17551307
language English
format Conference paper
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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