Navigating AI unpredictability: Exploring technostress in AI-powered healthcare systems

2024/02/27 by Helmi Issa, Jad Jaber, Hussein Lakkis · 45 citations
Health Professions · Psychology · #Clinical psychology #Computer science #Context (archaeology) #Data science #Distress #Field (mathematics) #Health care #Healthcare professionals’ stress and burnout #Knowledge management #Political science #Psychiatry #Psychology #Stressor #Technostress #Technostress in Professional Settings

paper · doi:10.1016/j.techfore.2024.123311

published in Technological Forecasting and Social Change 202, 123311 (Elsevier BV)

openalex publication_date 2024/02/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Citations

• Crossing to the dark side
• Common method biases in behavioral research: A critical review of the literature and recommended remedies.
• Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives
• Artificial intelligence in healthcare and education

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• Artificial Intelligence Perceptions and Technostress in Staff Radiologists: The Mediating Role of Artificial Intelligence Acceptance and the Moderating Role of Self-Efficacy. [europepmc]
• Protective factors against technostress in secondary school teachers. [europepmc]
• Development and validation of a digital burnout scale in artificial intelligence era. [europepmc]
• The dark side of AI transparency: investigating AI-induced anxiety, technostress, and consumer satisfaction through a hybrid SEM-ANN approach. [europepmc]
• The unintended negative consequences of artificial intelligence use for psychologists. [europepmc]