Evidence map›Paper›PMID 40033016›Full record

ArticleScientific reports2025

Factors influencing unsafe acts in the automotive industry using grounded theory and fuzzy DEMATEL.

Mahdi Mohammadiyan, Omran Ahmadi, Mehdi Yaseri, Ali Karimi

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Mahdi MohammadiyanDepartment of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Omran AhmadiDepartment of Occupational Health and Safety, Faculty of Medical Sciences, University of Tarbiat Modares, Tehran, Iran.
Mehdi YaseriDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Ali KarimiDepartment of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. a_karimi@sina.tums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Occupational accidents are recognized as the cause of numerous severe injuries and fatalities worldwide. Unsafe Acts (UAs) and unsafe conditions are the two primary origins of accidents, dentifying and prioritizing them can help prevent accidents from occurring. So, the aim of this study was to identify and prioritize the factors influencing unsafe acts in the automotive industry using grounded theory and fuzzy DEMATEL. A conceptual model using accident reports and the grounded theory approach was created. This included steps such as data collection, open coding, axial coding, selective coding, and a model saturation test. The fuzzy DEMATEL was used to determiene intensity of the relationship between influencing factors. The 'Government policies' factor, with the highest value (D + R) of 1.49, stands out as a significant influence on workplace safety. As a criterion of the 'extra-organizational level,' it refers to factors outside the direct control of the organization but still influencing its operations. This factor's importance surpasses that of other factors in contributing to unsafe practices. Other crucial factors include the economic situation, foreign policy, social situation, and work environment, with values of (D + R) equal to 1.47, 1.35, 1.34, and 1.13, respectively. Among the cause groups, 'Organizational climate' had the maximum value (D - R), indicating its significant impact on unsafe practices. The 'Foreign policy' factor, with a value (D - R) equal to 0.77, was next in importance. This study's findings provide insights and actionable strategies for safety managers in the automotive industry. By understanding the causes of workers' unsafe actions and how human factors lead to accidents, they can formulate intervention strategies to prevent and control unsafe actions, empowering them to make a real difference in workplace safety.

Indexed as

Accidents, OccupationalAutomobilesIndustryOccupational HealthFuzzy LogicGrounded TheoryHumansWorkplaceAutomobile industryFuzzy DEMATELGrounded theoryUnsafe acts

Identifiers

PMID40033016
PMCPMC11876453

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LicenceCC BY-NC-ND
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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.