Omidi Leila, Zakerian Seyed Abolfazl, Hadavandi Esmaeil, Saraji Jebraeil Nasl
Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Department of Industrial Engineering, Birjand University of Technology, Birjand, Iran.
BMC Psychol. 2025 Aug 5;13(1):866. doi: 10.1186/s40359-025-02928-1.
Psychological and social factors of work were found to influence workers' safety performance and job satisfaction. This study aimed to assess the effects of psychological and social factors of work affecting safety performance and job satisfaction of control room operators in a process industry in Iran. The general Nordic questionnaire for psychological and social factors at work containing 99 items covering 13 factors was used to collect data on psychological and social factors at work. A hybrid intelligent approach was developed in three stages to model the obtained data. In the first stage, the Haar wavelet transform was used to extract the level of each factor. In the second stage, a boosted neural network (BNN) was used to model safety performance and job satisfaction based on extracted factors in the first stage. In the third stage, the marginal model plots obtained by the BNN model were applied to characterize the marginal relationships between each psychological and social factor of work, safety performance, and job satisfaction. The findings from the marginal model plots, which assessed the relative importance of psychological and social factors at work, indicated that leadership was the most important factor affecting safety performance of operators. Additionally, the BNN model results suggested that among all psychological and social factors, group work, predictability at work, and work motives strongly influenced safety performance. Regarding job satisfaction, the marginal model plots revealed that organizational culture was the most influential factor. The BNN model further indicated that mastery of work and group work played a key role in job satisfaction among all psychological and social factors examined.
研究发现，工作中的心理和社会因素会影响员工的安全绩效和工作满意度。本研究旨在评估伊朗一家流程工业企业中控室操作员工作中的心理和社会因素对安全绩效和工作满意度的影响。采用包含99个项目、涵盖13个因素的通用北欧工作心理和社会因素调查问卷来收集工作中的心理和社会因素数据。开发了一种分三个阶段的混合智能方法来对所得数据进行建模。第一阶段，使用哈尔小波变换提取每个因素的水平。第二阶段，基于第一阶段提取的因素，使用增强神经网络（BNN）对安全绩效和工作满意度进行建模。第三阶段，将BNN模型得到的边际模型图应用于刻画工作中的每个心理和社会因素、安全绩效与工作满意度之间的边际关系。评估工作中心理和社会因素相对重要性的边际模型图结果表明，领导力是影响操作员安全绩效的最重要因素。此外，BNN模型结果表明，在所有心理和社会因素中，团队合作、工作可预测性和工作动机对安全绩效有强烈影响。关于工作满意度，边际模型图显示组织文化是最具影响力的因素。BNN模型进一步表明，在所考察的所有心理和社会因素中，工作掌握程度和团队合作在工作满意度中起关键作用。
