Artificial Intelligence-Supported Digitalization in Aviation: Analysis of Management Literature Using the PRISMA Method

Abstract

This systematic review presents an original synthesis that systematically reveals the impact of AI-driven digitalization in the field of
aviation on the management literature. The paucity of systematic studies conducted within the framework of the management discipline and
based on the PRISMA protocol in the extant literature constitutes the rationale for this research. The objective of this study is to address this
gap and thereby provide a foundation for future research. The articles published between 2015 and 2025 was reviewed in the research using the
Web of Science database; the systematic review process was conducted in accordance with the PRISMA protocol. Out of the initial 752
publications identified during the first screening, 41 articles were selected for review based on eligibility criteria. A thematic analysis was
conducted to evaluate the content. The literature was organized into three primary themes within the framework of management science: Human
Factors in Aviation Management, Safety Culture and Organizational Practices, and Artificial Intelligence in Strategic and Operational DecisionMaking Processes. The findings reveal that AI systems support both human-centered and data-driven approaches in managerial decision-making,
improve operational efficiency, and transform strategic planning. These results offer guidance for both academic researchers and practitioners
by highlighting current trends in the field, pinpointing key thematic areas, and suggesting directions for future research.