Volume 7, Issue 2 (June 2025)
IEEPJ 2025, 7(2): 0-0 |
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Farhadian A, Azizimohammadi S, Haddadi K, Moradi R. (2025). Structural Model of Imposter Syndrome and Techno-Stress on Faculty Job Burnout: Mediating Role of Digital Work Addiction and the Moderating Role of AI Literacy. IEEPJ. 7(2),
URL: http://ieepj.hormozgan.ac.ir/article-1-1142-en.html
URL: http://ieepj.hormozgan.ac.ir/article-1-1142-en.html
1- Assistant Professor of Psychology, Department of Counseling and Guidance, Farhangian University, Tehran, Iran
2- Assistant Professor of Psychology, Department of Counseling and Guidance, Farhangian University, Tehran, Iran ,S_mm173@yahoo.com
3- Assistant Professor of Psychology, Central Tehran Branch, Islamic Azad University, Tehran, Iran
4- M.A. in Educational Psychology, Science and Research Branch, Islamic Azad University, Tehran, Iran
2- Assistant Professor of Psychology, Department of Counseling and Guidance, Farhangian University, Tehran, Iran ,
3- Assistant Professor of Psychology, Central Tehran Branch, Islamic Azad University, Tehran, Iran
4- M.A. in Educational Psychology, Science and Research Branch, Islamic Azad University, Tehran, Iran
Abstract: (277 Views)
Objective: Higher education in the AI era faces a paradigmatic rupture, exposing faculty to novel psychological challenges. This study aimed to develop and test a structural model examining how imposter syndrome and techno-stress affect faculty job burnout, with digital work addiction as a mediator and AI literacy as a moderator.
Methods: This applied, correlational study employed structural equation modeling (SEM). The statistical population comprised all full-time faculty at Tehran’s public universities (~7,500 individuals) in the 2024–2025 academic year; 400 were selected via stratified random sampling. Instruments included: Maslach’s Burnout Inventory (1996), Clance’s Imposter Phenomenon Scale (1985), Tarafdar’s Techno-Stress Inventory (2007), Digital Work Addiction Scale (2017), and AI Literacy Scale (2024). Data analysis was conducted using SPSS-27 and AMOS-26.
Results: Results indicated significant direct effects of techno-stress and imposter syndrome on job burnout. Digital work addiction fully mediated the pathways from technological stress and internal doubts to burnout. Multi-group analysis in AMOS confirmed AI literacy’s significant moderating role: among faculty with high AI literacy, the harmful impacts of techno-stress and imposter syndrome on digital work addiction and subsequent burnout were significantly reduced.
Conclusions: AI literacy transcends technical proficiency and functions as a psychological protective buffer. Universities are advised to prioritize capacity-building strategies grounded in critical AI literacy and sustainable digital well-being protocols to prevent burnout and safeguard faculty mental health.
Methods: This applied, correlational study employed structural equation modeling (SEM). The statistical population comprised all full-time faculty at Tehran’s public universities (~7,500 individuals) in the 2024–2025 academic year; 400 were selected via stratified random sampling. Instruments included: Maslach’s Burnout Inventory (1996), Clance’s Imposter Phenomenon Scale (1985), Tarafdar’s Techno-Stress Inventory (2007), Digital Work Addiction Scale (2017), and AI Literacy Scale (2024). Data analysis was conducted using SPSS-27 and AMOS-26.
Results: Results indicated significant direct effects of techno-stress and imposter syndrome on job burnout. Digital work addiction fully mediated the pathways from technological stress and internal doubts to burnout. Multi-group analysis in AMOS confirmed AI literacy’s significant moderating role: among faculty with high AI literacy, the harmful impacts of techno-stress and imposter syndrome on digital work addiction and subsequent burnout were significantly reduced.
Conclusions: AI literacy transcends technical proficiency and functions as a psychological protective buffer. Universities are advised to prioritize capacity-building strategies grounded in critical AI literacy and sustainable digital well-being protocols to prevent burnout and safeguard faculty mental health.
Keywords: Job Burnout, Techno-Stress, Imposter Syndrome, Digital Work Addiction, AI Literacy, Faculty Members
Type of Study: Original |
Subject:
Evolutionary Psychology
Received: 2024/11/25 | Accepted: 2025/02/12 | Published: 2025/06/1
Received: 2024/11/25 | Accepted: 2025/02/12 | Published: 2025/06/1
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