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运用扎根理论和模糊DEMATEL研究汽车行业不安全行为的影响因素

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

作者信息

Mohammadiyan Mahdi, Ahmadi Omran, Yaseri Mehdi, Karimi Ali

机构信息

Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Department of Occupational Health and Safety, Faculty of Medical Sciences, University of Tarbiat Modares, Tehran, Iran.

出版信息

Sci Rep. 2025 Mar 4;15(1):7532. doi: 10.1038/s41598-025-92184-5.

DOI:10.1038/s41598-025-92184-5
PMID:40033016
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11876453/
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.

摘要

职业事故被公认为是全球众多严重伤害和死亡事件的起因。不安全行为(UAs)和不安全状况是事故的两个主要根源,识别它们并确定其优先级有助于预防事故的发生。因此,本研究的目的是运用扎根理论和模糊DEMATEL方法来识别汽车行业中影响不安全行为的因素并确定其优先级。通过事故报告和扎根理论方法创建了一个概念模型。这包括数据收集、开放式编码、主轴编码、选择性编码以及模型饱和度测试等步骤。模糊DEMATEL用于确定影响因素之间关系的强度。“政府政策”因素的(D + R)值最高,为1.49,是对工作场所安全的一个重大影响因素。作为“组织外部层面”的一个标准,它指的是虽不受组织直接控制但仍影响其运营的因素。该因素在导致不安全行为方面的重要性超过了其他因素。其他关键因素包括经济形势、外交政策、社会形势和工作环境,其(D + R)值分别为1.47、1.35、1.34和1.13。在原因类别中,“组织氛围”的(D - R)值最大,表明其对不安全行为有重大影响。“外交政策”因素的(D - R)值为0.77,重要性次之。本研究的结果为汽车行业的安全管理人员提供了见解和可操作的策略。通过了解工人不安全行为的原因以及人为因素如何导致事故,他们可以制定干预策略来预防和控制不安全行为,从而在工作场所安全方面发挥实际作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f78/11876453/27a9fe607505/41598_2025_92184_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f78/11876453/f9a826d0058d/41598_2025_92184_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f78/11876453/27a9fe607505/41598_2025_92184_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f78/11876453/f9a826d0058d/41598_2025_92184_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f78/11876453/edb359c2274c/41598_2025_92184_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f78/11876453/a3f3b91d1f52/41598_2025_92184_Fig3_HTML.jpg
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