Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/28718
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Campo DCValorIdioma
dc.contributor.authorAraújo, C.-
dc.contributor.authorGonçalves, R.-
dc.contributor.authorLopes da Costa, R.-
dc.contributor.authorDias, Á.-
dc.contributor.authorPereira, L.-
dc.date.accessioned2023-05-25T13:43:54Z-
dc.date.issued2022-
dc.identifier.citationAraújo, C., Gonçalves, R., Lopes da Costa, R., Dias, Á., & Pereira, L. (2022). Artificial intelligence in digital customer journey. International Journal of Electronic Customer Relationship Management, 13(3), 248-271. http://dx.doi.org/10.1504/IJECRM.2022.124098-
dc.identifier.issn1750-0664-
dc.identifier.urihttp://hdl.handle.net/10071/28718-
dc.description.abstractArtificial intelligence (AI) is present in many business areas, the marketing of the fashion industry being one of them. In this sense, AI becomes relevant for firms, helping to acquire better consumer data and to stand out from the competition by offering personalised, rich, and unique experiences. This study seeks to understand the current state of interaction that consumers have with AI during the digital customer journey (CJ), in the fashion industry. This research focused on the fashion industry and addresses the following AI technologies: recommendation systems, chatbots and virtual testers. These variables were deepened through an online questionnaire and an evaluation of the offerings that various brands have on their websites and apps. The data shows that people who interact with AI are younger and have self-confidence, they are mainly looking for a quick response to their requests, mainly through recommendation systems, chatbots and virtual testerseng
dc.language.isoeng-
dc.publisherInderscience-
dc.rightsopenAccess-
dc.subjectArtificial intelligenceeng
dc.subjectCustomer journeyeng
dc.subjectTechnology adoptioneng
dc.subjectRecommendation systemseng
dc.subjectChatboteng
dc.subjectVirtual try-oneng
dc.titleArtificial intelligence in digital customer journeyeng
dc.typearticle-
dc.pagination248 - 271-
dc.peerreviewedyes-
dc.volume13-
dc.number3-
dc.date.updated2023-05-25T14:43:27Z-
dc.description.versioninfo:eu-repo/semantics/acceptedVersion-
dc.identifier.doi10.1504/IJECRM.2022.124098-
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopor
dc.date.embargo2023-06-30-
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-93543-
iscte.alternateIdentifiers.scopus2-s2.0-85134254698-
iscte.journalInternational Journal of Electronic Customer Relationship Management-
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