Factors affecting the implementation of occupational safety and health management system (OSHMS) in Malaysia petrochemical industry
In petrochemical industries, a lot of attention has drawn on this sector due to its high incidence of accidents and fatality rates. Occupational safety and health management system (OSHMS) is essential for accident prevention, and successful implementation of OSHMS heavily depends on several it...
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Format: | Thesis |
Language: | English English English |
Published: |
2022
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Subjects: | |
Online Access: | http://eprints.uthm.edu.my/8279/1/24p%20MOHAMMED%20MURAD%20AL-QAISI.pdf http://eprints.uthm.edu.my/8279/2/MOHAMMED%20MURAD%20AL-QAISI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8279/3/MOHAMMED%20MURAD%20AL-QAISI%20WATERMARK.pdf http://eprints.uthm.edu.my/8279/ |
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Summary: | In petrochemical industries, a lot of attention has drawn on this sector due to its high
incidence of accidents and fatality rates. Occupational safety and health management
system (OSHMS) is essential for accident prevention, and successful implementation
of OSHMS heavily depends on several items of contextual factors. Hence, this study
was carried out to investigate the effect of 20 items of the independent variable (IV)
with five items for each factor of management factor (MF), personal factor (PF),
process factor (PRF), and environmental factor (EF) on four items of the dependent
variable (DV) of OSHMS implementation in Malaysia petrochemical industry. A
questionnaire survey was employed to obtain quantitative data from 150 respondents
of the selected petrochemical companies. Then, the quantitative data analyses were
performed through descriptive and inferential statistical methods. The validity of the
questionnaire was confirmed based on the value of the content validity index (CVI).
Besides, the loadings of five sub-factor model for MF, PF, PRF, and EF were
statistically significant by conducting confirmatory factor analysis (CFA). Based on
mean score results, the descriptive analysis revealed that the sub-factors of facility
management (MF5), training (PF2), maintenance (PRF4), and environmental
programs (EF5) were considered as the most influencing factors of OSHMS
implementation. Meanwhile, the inferential statistical method using correlation and
multiple regression analysis (MRA) was adopted to investigate the association
between IVs and DV. There was a positive and very strong relationship between all
the factors and OSHMS implementation based on the value of the Pearson correlation
coefficient obtained. Therefore, this study concluded that these contextual factors
should be taken into consideration towards achieving effective implementation of
OSHMS, particularly in Malaysia petrochemical industry. Nevertheless, the results of
this study are limited to the keywords used for the sub-factors of PF, PRF, and EF,
where the sub-factors are explained using the keywords that related to MF activities,
which could led to the source of the problem. The results could be more meaningful
when the appropriate keywords are used within the sub-factors of MF, PF, PRF and
EF. |
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