000126756 001__ 126756
000126756 005__ 20240731103328.0
000126756 0247_ $$2doi$$a10.3390/admsci13080172
000126756 0248_ $$2sideral$$a134264
000126756 037__ $$aART-2023-134264
000126756 041__ $$aeng
000126756 100__ $$0(orcid)0000-0002-7816-0050$$aGarcía Madurga, Miguel Ángel$$uUniversidad de Zaragoza
000126756 245__ $$aArtificial intelligence in the tourism industry: an overview of reviews
000126756 260__ $$c2023
000126756 5060_ $$aAccess copy available to the general public$$fUnrestricted
000126756 5203_ $$aThis study aims to comprehensively synthesize existing literature on AI in tourism, highlighting key themes, strengths, and limitations, and illuminating pathways for future research, including the identification of emerging areas within this context. AI technology is rapidly transforming various sectors, including tourism, by augmenting customer service, improving operational efficiency, personalizing travel experiences, and supporting sustainability initiatives. Despite the growing body of research on this topic, there is a need for a comprehensive and systematic summary of the existing literature to illuminate the most effective uses of AI in this context and to identify gaps for future research. We employed the ‘overview of reviews’ methodology, which involved systematically locating, appraising, and synthesizing the results of previous review articles. Using Web of Science, we identified and analyzed 31 previous review articles on the application of AI in tourism. Their synthesis presents a comprehensive perspective on the present status of AI technology in the tourism sector. It provides valuable insights, not only for practitioners contemplating the implementation of AI solutions but also for academics aspiring to advance this study area. Moreover, the academic implications of this study reaffirm its objective to shape future inquiries into AI applications within tourism, advocate for the efficacious and sustainable employment of AI, and provoke scholarly exploration at the nexus of technology and sustainability in this sector.
000126756 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000126756 592__ $$a0.626$$b2023
000126756 593__ $$aBusiness, Management and Accounting (miscellaneous)$$c2023$$dQ2
000126756 594__ $$a4.8$$b2023
000126756 655_4 $$ainfo:eu-repo/semantics/review$$vinfo:eu-repo/semantics/publishedVersion
000126756 700__ $$0(orcid)0000-0002-6272-5811$$aGrilló Méndez, Ana Julia$$uUniversidad de Zaragoza
000126756 7102_ $$14012$$2650$$aUniversidad de Zaragoza$$bDpto. Direcc.Organiza.Empresas$$cÁrea Organización de Empresas
000126756 7102_ $$14011$$2095$$aUniversidad de Zaragoza$$bDpto. Direc.Mark.Inves.Mercad.$$cÁrea Comerci.Investig.Mercados
000126756 773__ $$g13, 8 (2023), 172 [22 pp.]$$pAdm. sci.$$tAdministrative Sciences$$x2076-3387
000126756 8564_ $$s547654$$uhttps://zaguan.unizar.es/record/126756/files/texto_completo.pdf$$yVersión publicada
000126756 8564_ $$s2703919$$uhttps://zaguan.unizar.es/record/126756/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000126756 909CO $$ooai:zaguan.unizar.es:126756$$particulos$$pdriver
000126756 951__ $$a2024-07-31-09:45:38
000126756 980__ $$aARTICLE