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High Safety Risk Assessment in the Time of Uncertainties (COVID-19): An Industrial Context
BACKGROUND: The complexities of the workplace environment in the downstream oil and gas industry contain several safety-risk factors. In particular, instituting stringent safety standards and management procedures are considered insufficient to address workplace safety risks. Most accident cases att...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9072731/ https://www.ncbi.nlm.nih.gov/pubmed/35529576 http://dx.doi.org/10.3389/fpsyg.2022.834361 |
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author | Zhang, Yuantian Abdullah, M. Ridhuan Tony Lim Khan, Nor Hafizah bt Abd Latiff Javaid, Muhammad Umair Nazri, Mohammad Shah, Muhammad Umair |
author_facet | Zhang, Yuantian Abdullah, M. Ridhuan Tony Lim Khan, Nor Hafizah bt Abd Latiff Javaid, Muhammad Umair Nazri, Mohammad Shah, Muhammad Umair |
author_sort | Zhang, Yuantian |
collection | PubMed |
description | BACKGROUND: The complexities of the workplace environment in the downstream oil and gas industry contain several safety-risk factors. In particular, instituting stringent safety standards and management procedures are considered insufficient to address workplace safety risks. Most accident cases attribute to unsafe actions and human behaviors on the job, which raises serious concerns for safety professionals from physical to psychological particularly when the world is facing a life-threatening Pandemic situation, i.e., COVID-19. It is imperative to re-examine the safety management of facilities and employees’ well-being in the downstream oil and gas production sector to establish a sustainable governance system. Understanding the inherent factors better that contribute to safety behavior management could significantly improve workplace safety features. OBJECTIVE: This study investigates employees’ safety behavior management model for the downstream oil and gas industry to consolidate the safety, health and wellbeing of employees in times of COVID-19. METHODS: Nominal Group Technique (NGT) was first employed to screen primary behavioral factors from 10 workplace health and safety experts from Malaysia’s downstream oil and gas industry. Consequently, 18 significant factors were identified for further inquiry. Next, the interpretive structural modeling technique was used to ascertain the complex interrelationships between these factors and proposed a Safety Behavioral Management Model for cleaner production. RESULTS: This model shows that management commitment, employee knowledge and training, leadership, and regulations contribute significantly to several latent factors. Our findings support the Social Cognitive Theory, where employees, their environment, and their behaviors are related reciprocally. CONCLUSION: It is postulated that identifying safety factors and utilizing the proposed model guides various stakeholder groups in this industry, including practitioners and policymakers, for achieving long-term sustainability. |
format | Online Article Text |
id | pubmed-9072731 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90727312022-05-07 High Safety Risk Assessment in the Time of Uncertainties (COVID-19): An Industrial Context Zhang, Yuantian Abdullah, M. Ridhuan Tony Lim Khan, Nor Hafizah bt Abd Latiff Javaid, Muhammad Umair Nazri, Mohammad Shah, Muhammad Umair Front Psychol Psychology BACKGROUND: The complexities of the workplace environment in the downstream oil and gas industry contain several safety-risk factors. In particular, instituting stringent safety standards and management procedures are considered insufficient to address workplace safety risks. Most accident cases attribute to unsafe actions and human behaviors on the job, which raises serious concerns for safety professionals from physical to psychological particularly when the world is facing a life-threatening Pandemic situation, i.e., COVID-19. It is imperative to re-examine the safety management of facilities and employees’ well-being in the downstream oil and gas production sector to establish a sustainable governance system. Understanding the inherent factors better that contribute to safety behavior management could significantly improve workplace safety features. OBJECTIVE: This study investigates employees’ safety behavior management model for the downstream oil and gas industry to consolidate the safety, health and wellbeing of employees in times of COVID-19. METHODS: Nominal Group Technique (NGT) was first employed to screen primary behavioral factors from 10 workplace health and safety experts from Malaysia’s downstream oil and gas industry. Consequently, 18 significant factors were identified for further inquiry. Next, the interpretive structural modeling technique was used to ascertain the complex interrelationships between these factors and proposed a Safety Behavioral Management Model for cleaner production. RESULTS: This model shows that management commitment, employee knowledge and training, leadership, and regulations contribute significantly to several latent factors. Our findings support the Social Cognitive Theory, where employees, their environment, and their behaviors are related reciprocally. CONCLUSION: It is postulated that identifying safety factors and utilizing the proposed model guides various stakeholder groups in this industry, including practitioners and policymakers, for achieving long-term sustainability. Frontiers Media S.A. 2022-04-22 /pmc/articles/PMC9072731/ /pubmed/35529576 http://dx.doi.org/10.3389/fpsyg.2022.834361 Text en Copyright © 2022 Zhang, Abdullah, Khan, Javaid, Nazri and Shah. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Zhang, Yuantian Abdullah, M. Ridhuan Tony Lim Khan, Nor Hafizah bt Abd Latiff Javaid, Muhammad Umair Nazri, Mohammad Shah, Muhammad Umair High Safety Risk Assessment in the Time of Uncertainties (COVID-19): An Industrial Context |
title | High Safety Risk Assessment in the Time of Uncertainties (COVID-19): An Industrial Context |
title_full | High Safety Risk Assessment in the Time of Uncertainties (COVID-19): An Industrial Context |
title_fullStr | High Safety Risk Assessment in the Time of Uncertainties (COVID-19): An Industrial Context |
title_full_unstemmed | High Safety Risk Assessment in the Time of Uncertainties (COVID-19): An Industrial Context |
title_short | High Safety Risk Assessment in the Time of Uncertainties (COVID-19): An Industrial Context |
title_sort | high safety risk assessment in the time of uncertainties (covid-19): an industrial context |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9072731/ https://www.ncbi.nlm.nih.gov/pubmed/35529576 http://dx.doi.org/10.3389/fpsyg.2022.834361 |
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