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AI (vs. Human) Recommendation on Luxury Services

2024-03-16Documento de conferência Acesso aberto
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dc.contributor.authorGonçalves, Ana Rita
dc.contributor.authorPinto, Diego Costa
dc.contributor.authorShuqair, Saleh
dc.contributor.authorImanbay, Anel
dc.contributor.authorMattila, Anna S.
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.coverage.spatialCham, Switzerland
dc.date.accessioned2024-04-05T00:42:13Z
dc.date.available2025-03-17T01:31:51Z
dc.date.embargoedUntil2025-03-16
dc.date.issued2024-03-16
dc.descriptionGonçalves, A. R., Pinto, D. C., Shuqair, S., Imanbay, A., & Mattila, A. S. (2024). AI (vs. Human) Recommendation on Luxury Services. In V. Jeseo, & J. Allen (Eds.), Bringing the Soul Back to Marketing: Proceedings of the 2023 AMS World Marketing Congress, Canterbury, UK, July 11–14, 2023 (pp. 121-131). (Developments in Marketing Science: Proceedings of the Academy of Marketing Science). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-53286-3_12 --- This work received partial support from national funds through FCT (Fundação para a Ciência e a Tecnologia), under the projects - UIDB/04152/2020, DSAIPA/DS/0113/2019 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.
dc.description.abstractDespite Artificial Intelligence (AI)'s emerging trend in luxury services, recent research shows mixed findings regarding its impact. This paper builds upon the optimum distinctiveness theory and the need for uniqueness to examine AI's effects on consumers’ willingness to accept luxury suggestions. Four studies reveal that using AI recommendations in the luxury sector reduces consumers’ differentiation, which has downstream effects on luxury services and causes brand dilution. Findings further indicate that when specific characteristics of luxury, such as uniqueness, are enhanced, it damages consumers’ willingness to accept luxury recommendations, and thus, AI backfires. The study findings have important theoretical and managerial implications, suggesting when AI should be used to provide recommendations for luxury experiences.en
dc.description.versionauthorsversion
dc.description.versionpublished
dc.format.extent11
dc.format.extent271664
dc.identifier.doi10.1007/978-3-031-53286-3_12
dc.identifier.isbn978-3-031-53285-6
dc.identifier.isbn978-3-031-53288-7
dc.identifier.isbn978-3-031-53286-3
dc.identifier.issn2363-6165
dc.identifier.otherPURE: 87218590
dc.identifier.otherPURE UUID: 1736826b-bbcc-499b-99d3-da1a97d50900
dc.identifier.otherScopus: 85188893055
dc.identifier.otherWOS: 001264811100012
dc.identifier.otherORCID: /0000-0003-4418-9450/work/157012040
dc.identifier.urihttp://hdl.handle.net/10362/165840
dc.identifier.urlhttps://www.scopus.com/pages/publications/85188893055
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001264811100012
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature Switzerland AG
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT
dc.relationInformation Management Research Center
dc.relationData Science and Over-Indebtedness: Use of Artificial Intelligence Algorithms in Credit Consumption and Indebtedness Conciliation in Portugal
dc.subjectArtificial intelligence
dc.subjectDifferentiation
dc.subjectLuxury
dc.subjectRecommendation
dc.subjectServices
dc.subjectStrategy and Management
dc.subjectMarketing
dc.subjectSDG 8 - Decent Work and Economic Growth
dc.titleAI (vs. Human) Recommendation on Luxury Servicesen
dc.typeconference object
degois.publication.firstPage121
degois.publication.lastPage131
degois.publication.titleBringing the Soul Back to Marketing
degois.publication.title24th AMS World Marketing Congress (Academy of Marketing Science)
dspace.entity.typePublication
oaire.awardNumberUIDB/04152/2020
oaire.awardNumberDSAIPA/DS/0113/2019
oaire.awardTitleInformation Management Research Center
oaire.awardTitleData Science and Over-Indebtedness: Use of Artificial Intelligence Algorithms in Credit Consumption and Indebtedness Conciliation in Portugal
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA%2FDS%2F0113%2F2019/PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream3599-PPCDT
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication3274bdb3-4dd3-4bbe-8f74-d34190081f87
relation.isProjectOfPublicatione750f897-cfb5-46b7-84ff-3b768eeb44f6
relation.isProjectOfPublication.latestForDiscoverye750f897-cfb5-46b7-84ff-3b768eeb44f6

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