Abodol Hojat Moghaddasnian

Artificial Intelligence (AI) has become a transformative force in the airline industry, reshaping key aspects such as operational efficiency and customer engagement. This study examines AI's integration and impact in airlines using a mixed-method research design, incorporating exploratory, descriptive, and correlational analyses. Insights are drawn from an extensive review of industry reports, case studies, and expert interviews, highlighting AI's role in enhancing airline operations, customer service, and strategic decision-making. Findings reveal significant improvements in operational metrics and customer satisfaction post-AI integration, alongside advanced revenue management techniques. The research also addresses the challenges and ethical considerations of AI implementation, while forecasting future trends and potential investment areas. Empirical evidence and comparative analyses emphasize AI's strategic importance in airline business management, pinpointing disparities in AI adoption and the need for scalable solutions. Conclusively, this study provides actionable insights for airline industry practitioners, outlining strategies for AI integration, operational improvement, ethical AI frameworks, and readiness for emerging technologies. It underscores AI's vital role in driving innovation, efficiency, and sustainability, offering both academic contributions and practical guidance for the airline sector.Artificial Intelligence (AI) has become a transformative force in the airline industry, reshaping key aspects such as operational efficiency and customer engagement. This study examines AI's integration and impact in airlines using a mixed-method research design, incorporating exploratory, descriptive, and correlational analyses. Insights are drawn from an extensive review of industry reports, case studies, and expert interviews, highlighting AI's role in enhancing airline operations, customer service, and strategic decision-making. Findings reveal significant improvements in operational metrics and customer satisfaction post-AI integration, alongside advanced revenue management techniques. The research also addresses the challenges and ethical considerations of AI implementation, while forecasting future trends and potential investment areas. Empirical evidence and comparative analyses emphasize AI's strategic importance in airline business management, pinpointing disparities in AI adoption and the need for scalable solutions. Conclusively, this study provides actionable insights for airline industry practitioners, outlining strategies for AI integration, operational improvement, ethical AI frameworks, and readiness for emerging technologies. It underscores AI's vital role in driving innovation, efficiency, and sustainability, offering both academic contributions and practical guidance for the airline sector.

Customer Service Innovation, Operational Efficiency, Airline Business Management, Artificial Intelligence, Tourism Industry Transformation