Promoting Employee Well-Being Through AI-Augmented Leadership

This study examines the direct effect of AI-augmented leadership on employee well-being within organizations in the Middle East and North Africa (MENA) region. Drawing on the Job Demands–Resources (JD-R) framework, the research conceptualizes AI-enhanced leadership as a critical organizational resource that supports employees’ psychological and emotional well-being in digitally transforming workplaces.
A quantitative research design was adopted, using survey data collected from 104 professionals working in public and private sector organizations across Tunisia, Egypt, and Saudi Arabia. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS 4.0.
The findings reveal a significant and positive relationship between AI-augmented leadership and employee well-being, indicating that leadership practices supported by AI technologies contribute to higher levels of job satisfaction, reduced stress, and enhanced psychological functioning.
This study offers one of the first empirical investigations of AI-enhanced leadership in the underexplored MENA context. It contributes theoretically by extending the JD-R model to include AI-augmented leadership as a novel organizational resource and provides practical insights for fostering human-centered, ethical, and context-sensitive AI adoption in organizations undergoing digital transformation.

AI-augmented leadership, employee well-being, MENA region

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