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Formulation of safety predictors in construction sites through the lens of theory of planned behaviour: A dematel based model

The construction sector drives our country’s economic growth and fosters the development of human resources. Yet, the industry faces a significant challenge with a heightened rate of workplace fatalities, making safety a pressing concern. Unsafe working environments and employee conduct contribute t...

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Main Authors: Kang, Chun Xiang, Lee, Chia Kuang, Bujna, Marián, Chai, Changsaar
Format: Article
Language:English
Published: Penerbit Universiti Malaysia Pahang 2024
Subjects:
HD28 Management. Industrial Management
TH Building construction
Online Access:http://umpir.ump.edu.my/id/eprint/41612/1/Formulation%20of%20safety%20predictors%20in%20construction%20sites%20through%20the%20lens%20of%20theory%20of%20planned%20behaviour%20-%20A%20dematel%20based%20model.pdf
http://umpir.ump.edu.my/id/eprint/41612/
https://doi.org/10.15282/jgi.7.1.2024.10300
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spelling my.ump.umpir.416122024-06-20T00:41:28Z http://umpir.ump.edu.my/id/eprint/41612/ Formulation of safety predictors in construction sites through the lens of theory of planned behaviour: A dematel based model Kang, Chun Xiang Lee, Chia Kuang Bujna, Marián Chai, Changsaar HD28 Management. Industrial Management TH Building construction The construction sector drives our country’s economic growth and fosters the development of human resources. Yet, the industry faces a significant challenge with a heightened rate of workplace fatalities, making safety a pressing concern. Unsafe working environments and employee conduct contribute to the escalation of construction accidents. Addressing safety compliance and safety participation is critical for improving safety performance. Past studies have concentrated around technological approaches, leaving a notable gap in exploring behavioural interventions within the workplace. The critical factors that influence safety compliance intention and safety participation would be best explained by using Theory of Planned Behaviour (TPB). 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. Although the TPB framework is considered, there remains a lack of evidence substantiating the correlation between the safety predictors, safety compliance intention, and safety participation. This study investigates the impact of safety predictors on both safety compliance intention and safety participation through the application of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique. Through DEMATEL technique, 25 experts were enlisted to offer pairwise rankings regarding the predictors influencing both safety compliance intention and safety participation. The predictors examined in the study include Attitude, Subjective Norm and Perceived Behavioural Control. The research findings highlighted substantial interconnections among all safety predictors, with “Attitude” identified as the most influential predictor among them. Organizations should prioritize this to enhance safety performance. Enhancing safety performance in construction projects becomes feasible through comprehensive understanding and intervention in the interconnections among safety predictors, safety compliance intention, and safety participation. Penerbit Universiti Malaysia Pahang 2024 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/41612/1/Formulation%20of%20safety%20predictors%20in%20construction%20sites%20through%20the%20lens%20of%20theory%20of%20planned%20behaviour%20-%20A%20dematel%20based%20model.pdf Kang, Chun Xiang and Lee, Chia Kuang and Bujna, Marián and Chai, Changsaar (2024) Formulation of safety predictors in construction sites through the lens of theory of planned behaviour: A dematel based model. Journal of Governance & Integrity, 7 (1). pp. 682-691. ISSN 2600-7479. (Published) https://doi.org/10.15282/jgi.7.1.2024.10300 10.15282/jgi.7.1.2024.10300
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
TH Building construction
spellingShingle HD28 Management. Industrial Management
TH Building construction
Kang, Chun Xiang
Lee, Chia Kuang
Bujna, Marián
Chai, Changsaar
Formulation of safety predictors in construction sites through the lens of theory of planned behaviour: A dematel based model
description The construction sector drives our country’s economic growth and fosters the development of human resources. Yet, the industry faces a significant challenge with a heightened rate of workplace fatalities, making safety a pressing concern. Unsafe working environments and employee conduct contribute to the escalation of construction accidents. Addressing safety compliance and safety participation is critical for improving safety performance. Past studies have concentrated around technological approaches, leaving a notable gap in exploring behavioural interventions within the workplace. The critical factors that influence safety compliance intention and safety participation would be best explained by using Theory of Planned Behaviour (TPB). 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. Although the TPB framework is considered, there remains a lack of evidence substantiating the correlation between the safety predictors, safety compliance intention, and safety participation. This study investigates the impact of safety predictors on both safety compliance intention and safety participation through the application of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique. Through DEMATEL technique, 25 experts were enlisted to offer pairwise rankings regarding the predictors influencing both safety compliance intention and safety participation. The predictors examined in the study include Attitude, Subjective Norm and Perceived Behavioural Control. The research findings highlighted substantial interconnections among all safety predictors, with “Attitude” identified as the most influential predictor among them. Organizations should prioritize this to enhance safety performance. Enhancing safety performance in construction projects becomes feasible through comprehensive understanding and intervention in the interconnections among safety predictors, safety compliance intention, and safety participation.
format Article
author Kang, Chun Xiang
Lee, Chia Kuang
Bujna, Marián
Chai, Changsaar
author_facet Kang, Chun Xiang
Lee, Chia Kuang
Bujna, Marián
Chai, Changsaar
author_sort Kang, Chun Xiang
title Formulation of safety predictors in construction sites through the lens of theory of planned behaviour: A dematel based model
title_short Formulation of safety predictors in construction sites through the lens of theory of planned behaviour: A dematel based model
title_full Formulation of safety predictors in construction sites through the lens of theory of planned behaviour: A dematel based model
title_fullStr Formulation of safety predictors in construction sites through the lens of theory of planned behaviour: A dematel based model
title_full_unstemmed Formulation of safety predictors in construction sites through the lens of theory of planned behaviour: A dematel based model
title_sort formulation of safety predictors in construction sites through the lens of theory of planned behaviour: a dematel based model
publisher Penerbit Universiti Malaysia Pahang
publishDate 2024
url http://umpir.ump.edu.my/id/eprint/41612/1/Formulation%20of%20safety%20predictors%20in%20construction%20sites%20through%20the%20lens%20of%20theory%20of%20planned%20behaviour%20-%20A%20dematel%20based%20model.pdf
http://umpir.ump.edu.my/id/eprint/41612/
https://doi.org/10.15282/jgi.7.1.2024.10300
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score 13.232414

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