Artificial Intelligence in Aviation Management: A Multidimensional Approach from Theory to Practice

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Key Points

This research aims to explore how artificial intelligence can enhance aviation management through various theoretical and practical dimensions.
Utilized a multidimensional framework to assess AI applications in aviation management.
Analyzed case studies and industry reports to identify AI implementation strategies.
Conducted qualitative interviews with industry experts.
Identified key areas where AI improves operational efficiency, such as predictive analytics in maintenance.
Demonstrated that AI-driven decision support systems significantly reduce response times in crisis situations.
Reported a 25% improvement in overall management effectiveness through AI integration.

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Multidimensional approach reveals AI's influence on aviation management, suggesting enhanced operational efficiency.

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Nil Konyalılar (2026) studied this question.

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