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How Does Prompt Engineering Literacy Affect the Technostress Dynamics Between Self-Discrepancy and Job Burnout?

Year: 2025

Type: article

Abstract: The ubiquitous integration of technologies in organizations presents both opportunities and challenges for employees’ experiences of technostress and coping responses. Conventional Information Systems have long been recognized as sources of technostress, with most studies emphasizing technology characteristics as primary stressors. However, we argue that emerging technologies, such as Generative AI, can serve as coping tools as well. Drawing on Social Cognitive and Self-Discrepancy theories, we propose that while prompt engineering literacy may briefly lower self-efficacy (a J-curve effect) among non-experts, a supportive environment can smooth this learning curve. As prompt engineering literacy develops, self-efficacy rises, reducing self-discrepancies, mitigating technostress, and ultimately lowering job burnout. Practically, our framework offers guidance for organizations to enhance productivity through Generative AI deployment while supporting employee well-being.

Source: Journal of the Association for Information Systems

Authors: Gbogbolu, Abel, Chibesakunda, Ng'ona, Talaei, Jason A., Barfar, Arash

Institution: University of Nevada, Reno

Language: English

Topic: Technostress in Professional Settings

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7066069937

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