Artificial Intelligence potential within airlines: a review on how AI can enhance strategic decision-making in times of COVID-19
Entity
UAM. Departamento de Economía Aplicada; UAM. Departamento de Organización de EmpresasPublisher
OmniaScienceDate
2021-11-11Citation
10.3926/jairm.189
Journal of Airline and Airport Management 11.2 (2021): 53-72
ISSN
2014-4865 (print); 2014-4806 (online)DOI
10.3926/jairm.189Funded by
The authors received financial support for the research from LLM Aviation and EuroairlinesEditor's Version
https://doi.org/10.3926/jairm.189Subjects
Airlines; COVID-19; Artificial Intelligence; Machine Learning; Strategic decision-making; EmpresaRights
© The author's and Journal of Airline and Airport ManagementAbstract
Airline strategy relies on the competitive environment analysis and the management of resources. Artificial Intelligence (AI) algorithms are being increasingly deployed throughout several industries. COVID-19 has further stressed a sector where firms have historically struggled to sustain profitability. The purpose is to explore the potential of AI applications regarding strategic decision-making in airlines in times of crisis and to depict a roadmap to encourage scholars and practitioners to jointly implement these tools within corporations
Files in this item
Google Scholar:Pérez-Campuzano, Darío
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Morcillo Ortega, Patricio
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Rubio Andrada, Luis
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López-Lázaro, Antonio
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