The impact of employing generative artificial intelligence in enhancing the competencies of digital academic leaders: An analytical study of the opinions of a sample of academic leaders at Misan University
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Mohammed Raoof Al-Musawi
Author
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- Keywords:
- Generative artificial intelligence, digital academic leadership, university leadership
- Abstract
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This study aims to investigate the impact of adopting generative artificial intelligence (GI) on enhancing the digital academic leadership competencies of leaders at the University of misan. The study seeks to address a research gap characterized by a scarcity of field studies examining this relationship in the interior the Iraqi background, despite limited digital infrastructure and weak integration strategies. The study employed a quantitative cross-sectional approach, utilizing a sample of 120 leaders out of a total of 136. Data were analyzed using partial least squares structural equation modeling (PLS-SEM) and The results demonstrated a strong positive effect of generative AI on overall digital leadership competencies (β = 0.842), clarifying 61.2% of the variance. Strategic foresight had the strongest effect (β = 0.871), while culture Building had the weakest (β = 0.792), although still statistically significant. The findings also revealed a gap between the perceived high value of AI and the limited actual use of its tools. The significance of these results underscores the need to move beyond technological empowerment to include human and organizational interventions. So , the study recommends establishing specialized artificial intelligence units and including digital leadership criteria in the annual performance evaluation, with the AI m of transforming intermittent use into a sust AI nable culture of digital innovation.
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- Published
- 2026-10-27
- Section
- Business Administration
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Copyright (c) 2026 محمد رؤوف الموسوي, م.د انتصار عباس جبر العوادي, أ.م.د محمد احمد وهم (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Authors retain the copyright and full publishing rights without restrictions.
