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Guest intelligence applications acceptance model: an approach with the UTAUT Model and PLS-SEM

2024-11-13Artigo científico Acesso aberto
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datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg04:Educação de Qualidade
dc.contributor.authorRamos, Celia
dc.contributor.authorAshqar, Rashed
dc.date.accessioned2026-04-07T09:14:40Z
dc.date.available2026-04-07T09:14:40Z
dc.date.issued2024-11-13
dc.description.abstractIn a world where innovations are made daily, how people interact with and use technology is becoming increasingly important. It is relevant to investigate how new technologies are used and accepted in this environment. Acceptance assessment has been done in research on creating information systems, considering the UTAUT model and the data analysis technique PLS-SEM. Although this digital environment is pertinent to society in general, it is even more appropriate when interacting with tourists because it may give personalised goods and services. In order to assess acceptance in terms of guest insights proportioned by technologies to recommend personalised services and products by evaluating an application that recommends products and services personalised, considering guests’ intelligence, this article analyses the use and acceptance of a technological application whose characteristics meet the aforementioned.eng
dc.identifier.doi10.1145/3696593.3696634
dc.identifier.isbn979-8-4007-0729-2
dc.identifier.urihttp://hdl.handle.net/10400.1/28605
dc.language.isoeng
dc.peerreviewedyes
dc.publisherAssociation for Computing Machinery (ACM)
dc.relationResearch Centre for Tourism, Sustainability and Well-being
dc.relation.ispartofDSAI '24: Proceedings of the 11th International Conference on Soware Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectPersonalization
dc.subjectTourism
dc.subjectHospitality
dc.subjectInnovation
dc.subjectInformation technology
dc.subjectUTAUT model
dc.subjectStructural equation modelling
dc.titleGuest intelligence applications acceptance model: an approach with the UTAUT Model and PLS-SEMeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDB/04020/2020
oaire.awardTitleResearch Centre for Tourism, Sustainability and Well-being
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04020%2F2020/PT
oaire.citation.conferencePlaceAbu Dhabi, United Arab Emirates
oaire.citation.endPage41
oaire.citation.startPage32
oaire.citation.titleDSAI '24: Proceedings of the 11th International Conference on Soware Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameRamos
person.givenNameCelia
person.identifier.ciencia-idB917-D015-C2EF
person.identifier.orcid0000-0002-3413-4897
person.identifier.ridC-5119-2012
person.identifier.scopus-author-id35073165500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication08c1d098-29b0-4eaa-96f8-e03d66fcadb4
relation.isAuthorOfPublication.latestForDiscovery08c1d098-29b0-4eaa-96f8-e03d66fcadb4
relation.isProjectOfPublicationfa579efb-63c0-486e-b05d-859542b73647
relation.isProjectOfPublication.latestForDiscoveryfa579efb-63c0-486e-b05d-859542b73647

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