Exploring the impact of AI technostress on physicians’ job insecurity and performance from an empirical multi-hospital study
Chung-Feng Liu, Tzu-Chi Lin, Yen-Ling Ko

TL;DR
This study shows how AI-related stress affects doctors' job security and performance, highlighting self-esteem threats as a key factor.
Contribution
The paper introduces 'perceived self-esteem threat' as a new stressor in AI-related technostress for physicians.
Findings
AI self-esteem threat is the most influential source of technostress for physicians.
Job insecurity reduces job satisfaction but unexpectedly boosts self-rated performance.
AI reliability, complexity, and overload significantly increase job insecurity.
Abstract
This study expands Califf’s technostress model, which explores the psychological stress caused by technology, by integrating “perceived self-esteem threat” as a key stressor driven by the growing influence of medical artificial intelligence (AI), examining its impact on physicians’ job insecurity and performance. A survey of 400 physicians from three Taiwanese hospitals (92.4% response rate) revealed the nuanced effects of AI-related technostress. Structural equation modeling (SEM), a statistical method used to test relationships between variables, showed that complexity and technology overload significantly increase job insecurity, while AI reliability, unexpectedly, also heightens it. AI self-esteem threat emerged as the most influential source of technostress. Job insecurity negatively affects job satisfaction but unexpectedly boosts job performance, suggesting a motivational…
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Taxonomy
TopicsTechnostress in Professional Settings · Healthcare professionals’ stress and burnout · Cyberloafing and Workplace Behavior
