Write your message
Volume 13, Issue 4 (Iranian Journal of Ergonomic 2026)                   Iran J Ergon 2026, 13(4): 279-295 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Emamifar F, Kalani S. The Relationship between Employees' Attitudes Toward Artificial Intelligence and Occupational Depression: The Mediating Role of Perceived Job Insecurity and Perceived Job Fit. Iran J Ergon 2026; 13 (4) :279-295
URL: http://journal.iehfs.ir/article-1-1117-en.html
1- Department of Industrial and Organizational Psychology, Faculty of Education and Psychology, Shahid Chamran University of Ahvaz, Ahvaz, Iran
2- Department of Psychology, Faculty of Education and Psychology, University of Isfahan, Isfahan, Iran , sd.kalani@edu.ui.ac.ir
Abstract:   (2121 Views)
Objectives: The rapid integration of artificial intelligence (AI) in workplace environments has transformed job structures, automated tasks, and altered employees' work experiences. This study aimed to examine the relationship between employees' attitudes toward AI and occupational depression, with the mediating roles of perceived job insecurity and perceived job fit.
Methods: In this descriptive–correlational study, 261 employees of the Telecommunication Company of Kerman Province, Iran, were selected using convenience sampling and completed the Schepman & Rodwav (2020) Attitudes Toward Artificial Intelligence Scale, Nassasira (2020) Job Insecurity Questionnaire, Shafi Abadi and Rezaei (1997) Occupational Self-Concept Questionnaire, and Bianchi and Schonfeld (2020) Occupational Depression Inventory. The conceptual model was tested using partial least squares structural equation modeling.
Results: Positive attitudes toward AI were associated with a significant reduction in occupational depression (b = -0.12, P = 0.038), decreased job insecurity (b = -0.501, P < 0.001), and increased job fit (b = 0.471, P < 0.001). Job insecurity showed a positive relationship with occupational depression (b = 0.417, P < 0.001), whereas job fit showed a negative relationship (b = -0.243, P < 0.001). Job insecurity (b = -0.209, P < 0.001) and job fit (b = -0.114, P = 0.002) mediated the relationship between attitudes toward AI and occupational depression.
Conclusion: A positive attitude toward AI reduces occupational depression by decreasing job insecurity and increasing job fit. These findings highlight the importance of fostering positive attitudes toward AI through training, role redesign, and transparent communication within organizations to strengthen employees' psychological security and perceived job fit.
Full-Text [PDF 1175 kb]   (77 Downloads)    
Type of Study: Research | Subject: Industrial and Organizational Psychology
Received: 2025/10/16 | Accepted: 2025/12/24 | ePublished: 2025/12/24

References
1. Brougham D, Haar J. Technological disruption and employment: The influence on job insecurity and turnover intentions: A multi-country study. Technol Forecast Soc Change. 2020;161:120276. [DOI:10.1016/j.techfore.2020.120276]
2. Floridi L, Cowls J, Beltrametti M, Chatila R, Chazerand P, Dignum V, et al. AI4People-an ethical framework for a good AI society: opportunities, risks, principles, and recommendations. Minds Mach. 2018;28:689-707. [DOI:10.1007/s11023-018-9482-5] [PMID]
3. Bianchi R, Schonfeld IS. Occupational depression, cognitive performance, and task appreciation: A study based on Raven's Advanced Progressive Matrices. Front Psychol. 2021;12:695539. [DOI:10.3389/fpsyg.2021.695539] [PMID]
4. Leiter MP, Maslach C. Nurse turnover: the mediating role of burnout. J Nurs Manag. 2009;17(3):331-9. [DOI:10.1111/j.1365-2834.2009.01004.x] [PMID]
5. De Witte H, Pienaar J, De Cuyper N. Review of 30 years of longitudinal studies on the association between job insecurity and health and well‐being: Is there causal evidence? Aust Psychol. 2016;51(1):18-31. [DOI:10.1111/ap.12176]
6. Kristof‐Brown AL, Zimmerman RD, Johnson EC. Consequences OF INDIVIDUALS'FIT at work: A meta‐analysis OF person-job, person-organization, person-group, and person-supervisor fit. Pers Psychol. 2005;58(2):281-342. [DOI:10.1111/j.1744-6570.2005.00672.x]
7. Williamson MK, Perumal K. Exploring the consequences of person-environment misfit in the workplace: A qualitative study. SA J Ind Psychol. 2021;47:1798. [DOI:10.4102/sajip.v47i0.1798]
8. Dwivedi YK, Hughes L, Ismagilova E, Aarts G, Coombs C, Crick T, et al. Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. Int J Inf Manage. 2021;57:101994. [DOI:10.1016/j.ijinfomgt.2019.08.002]
9. Park J, Woo SE, Kim J. Attitudes towards artificial intelligence at work: Scale development and validation. J Occup Organ Psychol. 2024;97(3):920-51. [DOI:10.1111/joop.12502]
10. Zhang X, Jin H. How does smart technology, artificial intelligence, automation, robotics, and algorithms (STAARA) awareness affect hotel employees' career perceptions? A disruptive innovation theory perspective. J Hosp Mark Manag. 2023;32(2):264-83. [DOI:10.1080/19368623.2023.2166186]
11. Lopez-Garcia J, Romero-Gomez D, Castañón-Puga M, Ahumada-Tello E, editors. AI at Work: Performance Paradigms in the Age of Automation from the OCDE. 2024 Portland Int Conf Manage Eng Technol (PICMET); 2024: IEEE. [DOI:10.23919/PICMET64035.2024.10653232]
12. Xu G, Xue M, Zhao J. The association between artificial intelligence awareness and employee depression: the mediating role of emotional exhaustion and the moderating role of perceived organizational support. Int J Environ Res Public Health. 2023;20(6):5147. [DOI:10.3390/ijerph20065147] [PMID]
13. Bianchi R, Schonfeld IS. The Occupational Depression Inventory: A new tool for clinicians and epidemiologists. J Psychosom Res. 2020;138:110249. [DOI:10.1016/j.jpsychores.2020.110249] [PMID]
14. Schepman A, Rodway P. Initial validation of the general attitudes towards Artificial Intelligence Scale. Comput Hum Behav Rep. 2020;1:100014. [DOI:10.1016/j.chbr.2020.100014] [PMID]
15. Beaton DE, Bombardier C, Guillemin F, Ferraz MB. Guidelines for the process of cross-cultural adaptation of self-report measures. Spine. 2000;25(24):3186-91. [DOI:10.1097/00007632-200012150-00014] [PMID]
16. Nasasira L. Job insecurity, emotional exhaustion and employee motivation among employees in Health facilities in Kampala District: Makerere University; 2023.
17. De Witte H. Job insecurity: Review of the international literature on definitions, prevalence, antecedents and consequences. SA J Ind Psychol. 2005;31(4):1-6. [DOI:10.4102/sajip.v31i4.200]
18. Dogantekin A, Secilmis C, Karatepe OM. Qualitative job insecurity, emotional exhaustion and their effects on hotel employees' job embeddedness: The moderating role of perceived organizational support. Int J Hosp Manag. 2022;105:103270. [DOI:10.1016/j.ijhm.2022.103270]
19. Lauver K, Kristof-Brown A. Distinguishing Between Employee's Perceptions of Person-Job and Person-Organization Fit. Journal of Vocational Behavior. 2001;59:454-70. [DOI:10.1006/jvbe.2001.1807]
20. Hair JF, Risher JJ, Sarstedt M, Ringle CM. When to use and how to report the results of PLS-SEM. Eur Bus Rev. 2019;31(1):2-24. [DOI:10.1108/EBR-11-2018-0203]
21. Henseler J, Ringle CM, Sarstedt M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. J Acad Mark Sci. 2015;43:115-35. [DOI:10.1007/s11747-014-0403-8]
22. Nakagawa S, Schielzeth H. A general and simple method for obtaining R2 from generalized linear mixed‐effects models. Methods Ecol Evol. 2013;4(2):133-42. [DOI:10.1111/j.2041-210x.2012.00261.x]
23. Hu Lt, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equ Model Multidiscip J. 1999;6(1):1-55. [DOI:10.1080/10705519909540118]
24. Wang X, Feng Z. A narrative review of empirical literature of behavioral activation treatment for depression. Front Psychiatry. 2022;13:845138. [DOI:10.3389/fpsyt.2022.845138] [PMID]
25. Tasgit YE, Baykal Y, Aydin UC, Yakupoglu A, Coskuner M. Do Employees' Artificial Intelligence Attitudes Affect Individual Business Performance? J Organ Stud Innov. 2023;10(2). [DOI:10.51659/josi.22.176]
26. Russo C, Terraneo M. Mental well-being among workers: a cross-national analysis of job insecurity impact on the workforce. Soc Indic Res. 2020;152(2):421-42. [DOI:10.1007/s11205-020-02441-5]
27. Sora B, Höge T, Caballer A, Peiró JM. The Construct of Job Insecurity at Multiple Levels: Implications for Its Conceptualization and Theory Development. Int J Environ Res Public Health. 2023;20(4):3052. [DOI:10.3390/ijerph20043052] [PMID]
28. Sun R, Lv K, He Z, Liao L, Wang H, Lan Y. The mediating role of worker-occupation fit in the relationship between occupational stress and depression symptoms in 1988 medical workers: a cross-sectional study. Front Public Health. 2022;10:843845. [DOI:10.3389/fpubh.2022.843845] [PMID]
29. Brougham D, Haar J. Smart technology, artificial intelligence, robotics, and algorithms (STARA): Employees' perceptions of our future workplace. J Manag Organ. 2018;24(2):239-57. [DOI:10.1017/jmo.2016.55]
30. Kurniawan DT, Prameka AS, Praktikto H, editors. STARA is in sight: the effect of STARA on job outcome through job insecurity perception about future workplace on private companies in East Java, Indonesia. 2022 3rd Int Conf Big Data Anal Pract (IBDAP); 2022: IEEE. [DOI:10.1109/IBDAP55587.2022.9907292]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2026 CC BY-NC 4.0 | Iranian Journal of Ergonomics

Designed & Developed by : Yektaweb |