This study examines the potential contribution of artificial intelligence-based shift planning to strategic decision-making processes in airport ground handling operations. Today, the need for decision-making aligned with multidimensional goals such as resource management, legal compliance, and employee satisfaction alongside operational efficiency, is increasingly evident. In this context, considering the multi-departmental structure of a ground handling company operating at Antalya Airport, traditional shift planning was comparatively analyzed against AI-supported optimization. During the implementation process, not only operational outputs but also the managerial benefits of decision support systems were evaluated. The findings reveal that AI-based planning enhances not only efficiency but also strategic flexibility and predictability. By demonstrating that digital technologies enable a data-driven and agile decision-making approach in human resources planning, this study makes a meaningful contribution to theoretical gaps in literature.
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Primary Language | English |
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Subjects | Air Transportation and Freight Services |
Journal Section | Research Articles |
Authors | |
Early Pub Date | October 10, 2025 |
Publication Date | October 15, 2025 |
Submission Date | June 22, 2025 |
Acceptance Date | August 25, 2025 |
Published in Issue | Year 2025 Volume: 9 Issue: 3 |
Journal of Aviation - JAV |
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