Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/124025
Campo DC Valoridioma
dc.contributor.authorBulchand Gidumal, Jacquesen_US
dc.contributor.authorWilliam Secín, Eduardoen_US
dc.contributor.authorO’Connor, Peteren_US
dc.contributor.authorBuhalis, Dimitriosen_US
dc.date.accessioned2023-07-24T08:18:38Z-
dc.date.available2023-07-24T08:18:38Z-
dc.date.issued2023en_US
dc.identifier.issn1368-3500en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/124025-
dc.description.abstractUnderstanding how Artificial Intelligence (AI) impacts organizational functions supports stakeholders to prepare accordingly and profit from these developments. Adopting a grounded theory approach, this study uses three interlinked stages (in-depth interviews, focus groups and a questionnaire-based survey) to explore the impact of AI on the marketing function of hotels. The results identify ten trends related to AI’s contribution to hotel marketing, clustered in four themes. AI reengineers internal processes and procedures by enabling data and content as catalysts of competitiveness; empowering the augmented worker and performing mass personalization and customization. AI also impacts relationships with stakeholders by determining return on investment; improving sustainability; and governing legal aspects and ethics regarding data use. AI supports networks to which the organizations belong by concentrating and integrating organizations and transforming distribution models. AI transforms customer processes and services by engaging smart and predictive customer care and by employing predictive and augmented product and service design. The study illustrates the changes that AI will likely bring to hospitality and tourism marketing, developing a research agenda and raising discussion points for academic and industry practitioners respectively.en_US
dc.languageengen_US
dc.relation.ispartofCurrent Issues in Tourismen_US
dc.sourceCurrent Issues in Tourism[ISSN 1368-3500], (Enero 2023)en_US
dc.subject3304 Tecnología de los ordenadoresen_US
dc.subject531290 Economía sectorial: turismoen_US
dc.subject.otherAien_US
dc.subject.otherBig Dataen_US
dc.subject.otherCustomizationen_US
dc.subject.otherInnovationen_US
dc.subject.otherMarketingen_US
dc.subject.otherPersonalizationen_US
dc.titleArtificial intelligence’s impact on hospitality and tourism marketing: exploring key themes and addressing challengesen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/13683500.2023.2229480en_US
dc.identifier.scopus85164151877-
dc.contributor.orcid0000-0001-8522-2013-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.authorscopusid26665255800-
dc.contributor.authorscopusid58476072100-
dc.contributor.authorscopusid57521276400-
dc.contributor.authorscopusid6603014980-
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.date.coverdateEnero 2023en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-ECOen_US
dc.description.sjr1,916
dc.description.jcr8,0
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.ssciSSCI
dc.description.miaricds10,9
dc.description.erihplusERIH PLUS
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR TIDES: Emprendimiento, Empresa Digital e Innovación-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Economía y Dirección de Empresas-
crisitem.author.deptGIR TIDES: Emprendimiento, Empresa Digital e Innovación-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Economía y Dirección de Empresas-
crisitem.author.orcid0000-0001-8522-2013-
crisitem.author.orcid0009-0007-3220-4795-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameBulchand Gidumal, Jacques-
crisitem.author.fullNameWilliam Secín, Eduardo-
Colección:Artículos
Adobe PDF (355,95 kB)
Vista resumida

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.