Impact of Quality of Work Life on Affective Commitment of Teachers in Morocco: An Empirical Analysis of the Moderating Role of Artificial Intelligence
Abstract
Quality of life at work (QLW) is a major lever in contemporary management, influencing both employee engagement and organizational performance. In the Moroccan educational context teachers, emotional engagement appears to be a key factor in institutional success.
This research examines how quality of work life (QWL) influences teachers’ affective organizational commitment, while analyzing the moderating role of the perception of artificial intelligence (AI) in this relationship. Data collected from a sample of 224 teachers from both the public and private sectors reveals that QWL, as assessed by well-being, work-life balance, satisfaction, autonomy, and working conditions, significantly promotes EAO. Job satisfaction plays a central mediating role in this process. Were analyzed using the Structural Equation Modeling (SEM) method based on the LISREL approach, allowing for the simultaneous testing of the direct, mediating, and moderating relationships within the conceptual model.
Furthermore, a favorable perception of AI amplifies this dynamic, while a negative perception limits its effects.
These results confirm the relevance of a managerial approach that simultaneously integrates the promotion of QWL and the thoughtful adoption of AI tools. By placing the well-being of teachers at the heart of management practices, while exploiting the potential of AI, institutions can sustainably strengthen commitment, motivation, and collective performance.
Keywords: Quality of life at work; Emotional commitment; Educational management; Artificial intelligence; Moderating variable.
JEL Classification: M54
Paper type: Empirical research
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Copyright (c) 2025 Lamiaa BELKADI, Fatima IBN CHAHID, Wafae JARACHI, Youssef KHATORI

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