Artificial Intelligence potential within airlines: a review on how AI can enhance strategic decision-making in times of COVID-19
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 profitabil...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universidad Autónoma de Madrid |
| Repositorio: | Biblos-e Archivo. Repositorio Institucional de la UAM |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.uam.es:10486/701255 |
| Acceso en línea: | http://hdl.handle.net/10486/701255 https://dx.doi.org/10.3926/jairm.189 |
| Access Level: | acceso abierto |
| Palabra clave: | Airlines COVID-19 Artificial Intelligence Machine Learning Strategic decision-making Empresa |
| Sumario: | 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 |
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