Evidence map›Paper›PMID 39237550›Full record

ArticleScientific reports2024

Decoding stakeholder priorities of safety culture preferences in the oil and gas industry.

Hafiz Rahim, Rahmat Dapari, Nazri Che Dom, Mohd Iqbal Mohd Noor

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hafiz RahimFaculty of Health Sciences, Universiti Teknologi MARA, 42300, Bandar Puncak Alam, Malaysia.
Rahmat DapariFaculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400, Serdang, Malaysia. drrahmat@upm.edu.my.
Nazri Che DomFaculty of Health Sciences, Universiti Teknologi MARA, 42300, Bandar Puncak Alam, Malaysia.
Mohd Iqbal Mohd NoorFaculty of Business Management, Universiti Teknologi Mara (UiTM), 27600, Raub, Pahang, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Safety culture is a critical determinant of organisational performance, particularly in high-risk industries especially in oil and gas. Understanding stakeholder preferences is essential for developing effective strategies that enhance safety culture. This study utilised the Analytic Hierarchy Process (AHP) to prioritise stakeholder preferences, identifying key elements of safety culture in Malaysia's oil and gas sector. This study employed a structured methodology to evaluate safety culture within the oil and gas industry, focusing on 18 sub-elements across three key domains: psychological, behavioural, and situational factors. A diverse sample of industry experts was recruited using purposeful and snowball sampling to ensure a comprehensive representation of stakeholder views. The AHP framework was applied to analyse the data, utilizing structured questionnaires and multicriteria decision-making techniques to prioritize the identified safety culture elements. The AHP analysis identified distinct priorities among different professional groups within the oil and gas sector. Safety and Health Practitioners emphasized practical elements such as safety rules and management commitment, while academicians prioritized knowledge and training. Management personnel highlighted the importance of safety ownership and communication, whereas policymakers focused on broader, policy-oriented aspects. The findings suggest that safety culture improvement initiatives should be tailored to address the specific needs and priorities of each professional group. A nuanced understanding of stakeholder preferences is crucial for developing comprehensive strategies that integrate observable behaviours, situational conditions, and psychological factors, ultimately fostering a robust safety culture in the oil and gas industry.

Indexed as

Oil and Gas IndustryAdultDecision MakingFemaleHumansMalaysiaMaleOrganizational CultureSafety ManagementStakeholder ParticipationSurveys and QuestionnairesAnalytical hierarchy process (AHP)ElementsOil and gasPrioritizationSafety cultureStakeholder

Identifiers

PMID39237550
PMCPMC11377435

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.