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A comprehensive analysis of safety predictors in construction sites: A DEMATEL-Based Model

The construction industry, vital for economic growth and human capital development, faces significant safety challenges, particularly in the Malaysian context. Despite technological advancements, addressing safety concerns necessitates a deeper understanding of behavioural interventions. This study...

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Main Authors: Kang, Chun Xiang, Chai, Changsaar, Lee, Chia Kuang
Format: Article
Language:English
Published: Penerbit Universiti Sains Malaysia 2024
Subjects:
HD Industries. Land use. Labor
HD28 Management. Industrial Management
Online Access:http://umpir.ump.edu.my/id/eprint/42822/1/A%20comprehensive%20analysis%20of%20safety%20predictors%20in%20construction%20sites%20A%20DEMATEL-Based%20Model.pdf
http://umpir.ump.edu.my/id/eprint/42822/
https://doi.org/10.21315/jcdc.2024.29.S1.3
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spelling my.ump.umpir.428222024-10-17T03:09:38Z http://umpir.ump.edu.my/id/eprint/42822/ A comprehensive analysis of safety predictors in construction sites: A DEMATEL-Based Model Kang, Chun Xiang Chai, Changsaar Lee, Chia Kuang HD Industries. Land use. Labor HD28 Management. Industrial Management The construction industry, vital for economic growth and human capital development, faces significant safety challenges, particularly in the Malaysian context. Despite technological advancements, addressing safety concerns necessitates a deeper understanding of behavioural interventions. This study explores the critical factors influencing safety compliance intention and safety participation in the Malaysian construction industry, utilising the Theory of Planned Behaviour (TPB) as its theoretical framework. TPB posits that actual behaviour can be predicted by intention, while the formation of intention is mainly determined by attitude, subjective norms and perceived behavioural control. Despite the posited framework considering TPB, there is no evidence to prove the correlation between safety predictors, safety compliance intention and safety participation. This study examines the influence of safety predictors on safety compliance intention and safety participation by using the decision-making trial and evaluation laboratory (DEMATEL) technique. Based on the DEMATEL technique, 25 experts were invited to provide pairwise ranking on the predictors influencing safety compliance intention and safety participation. The predictors examined in the study include “Attitude”, “Subjective norm”, “Perceived behavioural control”, “Types of leadership styles”, “Safety knowledge”, “Safety climate”, “Safety motivation”, “Risk perception” and “Communication”. Among these predictors, the study revealed significant relationships between all safety predictors, with “Attitude” emerging as the most impactful predictor. Organisations should prioritise this to enhance safety performance. Safety performance in construction projects can be improved and intervened in when the interrelationships between safety predictors, safety compliance intention and safety participation are fully understood. Penerbit Universiti Sains Malaysia 2024 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/42822/1/A%20comprehensive%20analysis%20of%20safety%20predictors%20in%20construction%20sites%20A%20DEMATEL-Based%20Model.pdf Kang, Chun Xiang and Chai, Changsaar and Lee, Chia Kuang (2024) A comprehensive analysis of safety predictors in construction sites: A DEMATEL-Based Model. Journal of Construction in Developing Countries, 29 (Supp. 1). pp. 37-58. ISSN 1823-6499. (Published) https://doi.org/10.21315/jcdc.2024.29.S1.3 10.21315/jcdc.2024.29.S1.3
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic HD Industries. Land use. Labor
HD28 Management. Industrial Management
spellingShingle HD Industries. Land use. Labor
HD28 Management. Industrial Management
Kang, Chun Xiang
Chai, Changsaar
Lee, Chia Kuang
A comprehensive analysis of safety predictors in construction sites: A DEMATEL-Based Model
description The construction industry, vital for economic growth and human capital development, faces significant safety challenges, particularly in the Malaysian context. Despite technological advancements, addressing safety concerns necessitates a deeper understanding of behavioural interventions. This study explores the critical factors influencing safety compliance intention and safety participation in the Malaysian construction industry, utilising the Theory of Planned Behaviour (TPB) as its theoretical framework. TPB posits that actual behaviour can be predicted by intention, while the formation of intention is mainly determined by attitude, subjective norms and perceived behavioural control. Despite the posited framework considering TPB, there is no evidence to prove the correlation between safety predictors, safety compliance intention and safety participation. This study examines the influence of safety predictors on safety compliance intention and safety participation by using the decision-making trial and evaluation laboratory (DEMATEL) technique. Based on the DEMATEL technique, 25 experts were invited to provide pairwise ranking on the predictors influencing safety compliance intention and safety participation. The predictors examined in the study include “Attitude”, “Subjective norm”, “Perceived behavioural control”, “Types of leadership styles”, “Safety knowledge”, “Safety climate”, “Safety motivation”, “Risk perception” and “Communication”. Among these predictors, the study revealed significant relationships between all safety predictors, with “Attitude” emerging as the most impactful predictor. Organisations should prioritise this to enhance safety performance. Safety performance in construction projects can be improved and intervened in when the interrelationships between safety predictors, safety compliance intention and safety participation are fully understood.
format Article
author Kang, Chun Xiang
Chai, Changsaar
Lee, Chia Kuang
author_facet Kang, Chun Xiang
Chai, Changsaar
Lee, Chia Kuang
author_sort Kang, Chun Xiang
title A comprehensive analysis of safety predictors in construction sites: A DEMATEL-Based Model
title_short A comprehensive analysis of safety predictors in construction sites: A DEMATEL-Based Model
title_full A comprehensive analysis of safety predictors in construction sites: A DEMATEL-Based Model
title_fullStr A comprehensive analysis of safety predictors in construction sites: A DEMATEL-Based Model
title_full_unstemmed A comprehensive analysis of safety predictors in construction sites: A DEMATEL-Based Model
title_sort comprehensive analysis of safety predictors in construction sites: a dematel-based model
publisher Penerbit Universiti Sains Malaysia
publishDate 2024
url http://umpir.ump.edu.my/id/eprint/42822/1/A%20comprehensive%20analysis%20of%20safety%20predictors%20in%20construction%20sites%20A%20DEMATEL-Based%20Model.pdf
http://umpir.ump.edu.my/id/eprint/42822/
https://doi.org/10.21315/jcdc.2024.29.S1.3
_version_ 1822924714273669120
score 13.232414

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