A Structural Model of Job Burnout Based on Quality of Work Life and Cognitive Ergonomics Mediated by Emotional Adjustment
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Objective: The present study aimed to propose a structural model of job burnout based on quality of work life and cognitive ergonomics, mediated by emotional adjustment among employees of the Persian Gulf Petrochemical Industries.
Methods and Materials: This applied research falls within the category of descriptive-correlational studies using structural equation modeling. The statistical population consisted of 1,600 employees of Persian Gulf Petrochemical Industries in 2024. The sample size was determined to be 250 participants using G*Power software, considering both latent and observed variables, a margin of error of 0.05, a 95% confidence level, and an effect size of 0.2. A stratified random sampling method was employed. Data were collected using the Maslach Burnout Inventory (1981), the Cognitive Ergonomics Questionnaire by Shafiei (2022), the Work Life Quality Questionnaire by Lopez (2007), and the Emotional Adjustment Scale by Rabeau et al. (2007). Data analysis was performed using Pearson correlation tests and the Preacher and Hayes bootstrap macro to examine the mediating role of emotional adjustment in the model.
Findings: The results confirmed the research hypothesis, indicating that cognitive ergonomics and quality of work life have an indirect effect on job burnout through emotional adjustment. In other words, by enhancing the quality of work life and cognitive ergonomics, and improving emotional adjustment among employees, job burnout can be reduced.
Conclusion: The structural model of job burnout based on quality of work life and cognitive ergonomics, mediated by emotional adjustment, demonstrates a good fit among employees of the Persian Gulf Petrochemical Industries.
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