Citation

Arifin K, Ali MXM, Abas A, Ahmad MA, Ahamad MA, Sahimi AS. J. Saf. Res. 2023; 86: 376-389.

Copyright

(Copyright © 2023, U.S. National Safety Council, Publisher Elsevier Publishing)

DOI

10.1016/j.jsr.2023.07.017

PMID

37718065

Abstract

INTRODUCTION: The electrical utility industry, which plays a vital role in sustaining other sectors, contributes to high occupational accident rates in the utility industries. The high accident rate shows that there has been insufficient effort made to control unsafe actions and conditions in the workplace. This study aims to examine the influence of hazard control and prevention as leading indicators of safety behaviors and outcomes in coal-fired power plants in Malaysia.

METHODS: This quantitative research was conducted by distributing survey questionnaires randomly to five coal-fired power plants in Peninsular Malaysia. A total of 340 respondents were involved in this research. Partial least squares structural equation modeling (PLS-SEM) analysis was performed using SmartPLS to validate and examine the relationship of the proposed model.

RESULTS: The results validate the construct of hazard control and prevention consisting of planning, action, managing, and verifying, while the safety outcomes construct consists of occupational accidents, fatal accidents, near misses, and lost time injuries. The results indicate that hazard control and prevention significantly relate to safety compliance, safety participation, safety motivation, and safety knowledge. Moreover, safety outcomes were influenced negatively by hazard control and prevention through safety compliance.

CONCLUSION: The model provides a better understanding of the influence of hazard control and prevention on safety behavior and outcomes. PRACTICAL APPLICATIONS: The model can be used as guidance for practitioners and researchers in planning and implementing hazard control and prevention to improve health and safety in the workplace.

Language: en

Keywords

PLS-SEM; Hazard control; Hazard prevention; Leading indicators; Safety management practices