Azimi, Roozbeh and Al Sulaie, Saleh and Yazdanirad, Saeid and Khoshakhlagh, Amir Hossein and Cousins, Rosanna and Kazemian, Fatemeh (2025) Sensitivity analysis of unsafe behaviors in the spinning and weaving factories: Exploring the association with burnout and resilience using Bayesian networks. PLoS ONE, 20 (7). pp. 1-14. ISSN 1932-6203
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Abstract
Job burnout and resilience skills are factors that can affect safety performance in the workplaces. However, the contribution of these variables to unsafe behaviors through various paths has not been determined. This study aimed to investigate the association of three burnout dimensions and resilience with safety compliance and safety performance using Bayesian network modelling. This research was performed with a cross-sectional design. Participants were 200 employees working in some spinning and weaving factories. Participants provided responses to printed survey items during work rest periods. The survey comprised a demographic information section, validated Persian versions of the Connor–Davidson Resilience Scale, the Maslach Burnout Inventory, and the safety behavior assessment. The Bayesian network was analyzed using version 2.3 of the GeNIe academic software. At the high state with probability of 100% for each of the three burnout variables: depersonalization emotional exhaustion, personal accomplishment, and (poor) resilience, the probability of poor safety compliance increased by 16%, 16%, 7%, and 24% and the probability of poor safety participation rose by 6%, 12%, 29%, and 17%, respectively. All variables with the probability of 100% also elevated the likelihood of diminished safety compliance and low safety participation by 51% and 34%. Each of the three dimensions of burnout can be associated with changes in resilience, safety compliance, and safety participation. Resilience plays a significant role in mediating the association between burnout dimensions and unsafe behaviors.
| Item Type: | Article |
|---|---|
| Additional Information and Comments: | Copyright: © 2025 Azimi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| Faculty / Department: | Faculty of Human and Digital Sciences > School of Psychology |
| Depositing User: | Rosanna Cousins |
| Date Deposited: | 18 Jul 2025 11:48 |
| Last Modified: | 18 Jul 2025 11:48 |
| URI: | https://hira.hope.ac.uk/id/eprint/4707 |
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