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Predicting safety compliance and behaviour: An extended theory of planned behaviour

The construction industry is considered one of the most dangerous industries due to the complexity and uncertainty associated with construction projects. Safety compliance in the construction industry has attracted significant attention from researchers and practitioners in recent years. Safety comp...

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Main Authors: Lim, Chun Aik, Chai, Changsaar, Lee, Chia Kuang
Format: Article
Language:English
Published: Taylor's University 2024
Subjects:
HD28 Management. Industrial Management
Online Access:http://umpir.ump.edu.my/id/eprint/43027/1/Predicting%20safety%20compliance%20and%20behaviour%20-%20an%20extended%20theory%20of%20planned%20behaviour.pdf
http://umpir.ump.edu.my/id/eprint/43027/
https://jestec.taylors.edu.my/Special%20Issue%20Think%20Space%202023/STAAUH%202023_03.pdf
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spelling my.ump.umpir.430272024-12-04T06:22:24Z http://umpir.ump.edu.my/id/eprint/43027/ Predicting safety compliance and behaviour: An extended theory of planned behaviour Lim, Chun Aik Chai, Changsaar Lee, Chia Kuang HD28 Management. Industrial Management The construction industry is considered one of the most dangerous industries due to the complexity and uncertainty associated with construction projects. Safety compliance in the construction industry has attracted significant attention from researchers and practitioners in recent years. Safety compliance is important for minimising accidents in the construction industry. To uphold workplace safety at a construction site, individuals need to actively practise specific and essential behaviours documented through safety compliance measures. Although there is literature on safety compliance in the construction industry, previous studies have overlooked the examination of safety compliance utilisation through the theory of planned behaviour (TPB). The exploration of belief in safety compliance in the construction industry is limited. This research proposes a TPB model to predict the safety compliance intentions of construction workers by investigating salient beliefs, encompassing attitudinal, normative, and control beliefs. Data was collected through an online questionnaire with open-ended questions, which was administered to experts engaged in construction projects in Malaysia. A total of 15 respondents participated in this study and shared their salient beliefs regarding the intention of safety compliance. The beliefs collected from the online survey underwent conceptual content analysis and were categorised into six stable sets of theoretical constructs. Attitudinal Beliefs were decomposed into Perceived Relative Advantages, Normative Beliefs were decomposed into Facilitating Conditions, and Control Beliefs were decomposed into project management teams, local workers, foreign workers, and sub-contractors. A revised conceptual TPB model was formulated to predict safety compliance intention and actual compliance behaviour in the construction industry based on the developed theoretical constructs. Taylor's University 2024 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/43027/1/Predicting%20safety%20compliance%20and%20behaviour%20-%20an%20extended%20theory%20of%20planned%20behaviour.pdf Lim, Chun Aik and Chai, Changsaar and Lee, Chia Kuang (2024) Predicting safety compliance and behaviour: An extended theory of planned behaviour. Journal of Engineering Science and Technology, Special Issue 06/2024 (06). pp. 27-37. ISSN 1823-4690. (Published) https://jestec.taylors.edu.my/Special%20Issue%20Think%20Space%202023/STAAUH%202023_03.pdf
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 HD28 Management. Industrial Management
spellingShingle HD28 Management. Industrial Management
Lim, Chun Aik
Chai, Changsaar
Lee, Chia Kuang
Predicting safety compliance and behaviour: An extended theory of planned behaviour
description The construction industry is considered one of the most dangerous industries due to the complexity and uncertainty associated with construction projects. Safety compliance in the construction industry has attracted significant attention from researchers and practitioners in recent years. Safety compliance is important for minimising accidents in the construction industry. To uphold workplace safety at a construction site, individuals need to actively practise specific and essential behaviours documented through safety compliance measures. Although there is literature on safety compliance in the construction industry, previous studies have overlooked the examination of safety compliance utilisation through the theory of planned behaviour (TPB). The exploration of belief in safety compliance in the construction industry is limited. This research proposes a TPB model to predict the safety compliance intentions of construction workers by investigating salient beliefs, encompassing attitudinal, normative, and control beliefs. Data was collected through an online questionnaire with open-ended questions, which was administered to experts engaged in construction projects in Malaysia. A total of 15 respondents participated in this study and shared their salient beliefs regarding the intention of safety compliance. The beliefs collected from the online survey underwent conceptual content analysis and were categorised into six stable sets of theoretical constructs. Attitudinal Beliefs were decomposed into Perceived Relative Advantages, Normative Beliefs were decomposed into Facilitating Conditions, and Control Beliefs were decomposed into project management teams, local workers, foreign workers, and sub-contractors. A revised conceptual TPB model was formulated to predict safety compliance intention and actual compliance behaviour in the construction industry based on the developed theoretical constructs.
format Article
author Lim, Chun Aik
Chai, Changsaar
Lee, Chia Kuang
author_facet Lim, Chun Aik
Chai, Changsaar
Lee, Chia Kuang
author_sort Lim, Chun Aik
title Predicting safety compliance and behaviour: An extended theory of planned behaviour
title_short Predicting safety compliance and behaviour: An extended theory of planned behaviour
title_full Predicting safety compliance and behaviour: An extended theory of planned behaviour
title_fullStr Predicting safety compliance and behaviour: An extended theory of planned behaviour
title_full_unstemmed Predicting safety compliance and behaviour: An extended theory of planned behaviour
title_sort predicting safety compliance and behaviour: an extended theory of planned behaviour
publisher Taylor's University
publishDate 2024
url http://umpir.ump.edu.my/id/eprint/43027/1/Predicting%20safety%20compliance%20and%20behaviour%20-%20an%20extended%20theory%20of%20planned%20behaviour.pdf
http://umpir.ump.edu.my/id/eprint/43027/
https://jestec.taylors.edu.my/Special%20Issue%20Think%20Space%202023/STAAUH%202023_03.pdf
_version_ 1822924779388141568
score 13.23243

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