رابطه بين نگرش نسبت به هوش مصنوعي و افسردگي شغلي كاركنان: نقش ميانجي ناامني شغلي و تناسب شغلي ادراك شده

This study aimed to investigate the relationship between employeesʹ attitudes toward artificial intelligence and occupational depression with the mediating role of perceived job insecurity and self-perceived job fit among employees of the Telecommunication Company of Kerman Province, The statistical population consisted of all employees of this company in 1403, with a reported total of 650 individuals. From this population, a sample of 261 employees was selected using convenient sampling. Data were collected through four standard questionnaires: the Schepman & Rodwav (2020) The General Attitudes towards Artificial Intelligence Questionnaire, the Nassasira (2020) Perceived Job Insecurity Questionnaire, the Shafi Abadi and Rezaei (1376( Occupational self-concept Questionnaire, and the Bianchi and Schonfeld (2020) Occupational Depression lnventory. The reliability of the questionnaires was assessed through Cronbachʹs alpha and composite reliability, with all variables showing acceptable values (above 0.7). Convergent validity was eva‎luated using the Average Variance Extracted (AVE) index, with values above the recommended threshold of 0.5. Moreover, discriminant validity was confirmed through the Fornell-Larcker criterion, the Heterotrait-Monotrait ratio (HTMT), and the factor loadings of the questionnaire items. For data analysis, structural equation modeling with partial least squares (PLS-SEM) and the SPSS and SmartPLS software were employed. The results indicated a significant negative relationship between attitudes toward artificial intelligence and occupational depression, with perceived job insecurity and self-perceived job fit mediating this relationship. Additionally, a positive relationship between attitudes toward artificial intelligence and self-perceived job fit, and a negative relationship between attitudes toward artificial intelligence and perceived job insecurity, were confirmed. Furthermore, a positive relationship was found between perceived job insecurity and occupational depression, and a negative relationship between self-perceived job fit and occupational depression. The findings emphasize that a more positive attitude toward artificial intelligence among employees can help reduce their occupational depression, particularly through reducing perceived job insecurity and enhancing self-perceived job fit. The results of this study may be useful for managers and organizational policymakers in improving employeesʹ attitudes toward artificial intelligence and enhancing their mental health.

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