Artificial Intelligence in Airline Business Management: A Paradigm Shift in the Industry

سال انتشار: 1404
محل انتشار: مجله تحقیقات علوم داده های کسب و کار، دوره: 4، شماره: 1
کد COI اختصاصی: JR_JBDSR-4-1_002
زبان مقاله: انگلیسی
تعداد مشاهده: 19

نویسندگان

Tarbiat Modares University, Tehran, Iran

Università degli Studi di Milano, Milan, Italy

چکیده

Artificial Intelligence (AI) has emerged as a transformative force in airline business management, reshaping various facets from operational efficiency to customer engagement. This study provides a comprehensive examination of AI's integration and impact in the airline industry, employing a mixed-method research design inclusive of exploratory, descriptive, and correlational components. Through an extensive review of industry reports, case studies, and expert interviews, the research highlights AI's progressive evolution and its diverse applications in enhancing operational processes, customer service, and strategic decision-making within airlines. The findings illustrate significant improvements in operational metrics, customer satisfaction, and revenue management post-AI integration. The study also delves into the challenges and ethical considerations associated with AI implementation, alongside predictions on future trends and potential areas of investment. Through empirical evidence and comparative analyses, the research underscores the strategic importance of AI in airline business management, pointing out disparities in AI adoption and emphasizing the need for scalable solutions. The study's practical implications for the airline industry include AI integration strategies, operational improvement guidance, ethical AI frameworks, and preparation for emerging technologies. This research not only contributes to academic discourse but also offers actionable insights for industry practitioners, highlighting AI's crucial role in driving innovation, efficiency, and sustainability in airline operations.Artificial Intelligence (AI) has emerged as a transformative force in airline business management, reshaping various facets from operational efficiency to customer engagement. This study provides a comprehensive examination of AI's integration and impact in the airline industry, employing a mixed-method research design inclusive of exploratory, descriptive, and correlational components. Through an extensive review of industry reports, case studies, and expert interviews, the research highlights AI's progressive evolution and its diverse applications in enhancing operational processes, customer service, and strategic decision-making within airlines. The findings illustrate significant improvements in operational metrics, customer satisfaction, and revenue management post-AI integration. The study also delves into the challenges and ethical considerations associated with AI implementation, alongside predictions on future trends and potential areas of investment. Through empirical evidence and comparative analyses, the research underscores the strategic importance of AI in airline business management, pointing out disparities in AI adoption and emphasizing the need for scalable solutions. The study's practical implications for the airline industry include AI integration strategies, operational improvement guidance, ethical AI frameworks, and preparation for emerging technologies. This research not only contributes to academic discourse but also offers actionable insights for industry practitioners, highlighting AI's crucial role in driving innovation, efficiency, and sustainability in airline operations.

کلیدواژه ها

Artificial Intelligence, Airline Business Management, Operational Efficiency, Customer Service Innovation, Strategic Revenue Management

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