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Artificial Intelligence Theory in Service Management

dc.contributor.authorReis, João
dc.contributor.authorSanto, Paula Espírito
dc.contributor.authorMelão, Nuno
dc.date.accessioned2020-03-31T10:49:36Z
dc.date.available2020-03-31T10:49:36Z
dc.date.issued2020-01-09
dc.description.abstractArtificial intelligence (AI) is expected to be more promising in the coming years, with, for example, notable gains in productivity, although there may be a significant impact on job reduction, which may jeopardize labor sustainability. Accordingly, there is a need to better understand this phenomenon and to analyze it in the light of a particular theory. However, there is a scarcity of AI theories in the service management literature. In order to obtain a better understanding of the subject, we have conducted a systematic review of the literature to provide a comprehensive analysis of the theories developed regarding AI in service management. The results have showed a wide range of theories, but not all directly related with AI; the latter are smaller in number making it difficult to draw a clear pattern. At current days, researchers are slowly advancing with new AI theories and moving away from those already in use, such as in computer science, ethics, philosophical theories, and so on.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-030-38724-2_10pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.19/6257
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-030-38724-2_10pt_PT
dc.subjectArtificial intelligencept_PT
dc.subjectService managementpt_PT
dc.subjectSystematic literature reviewpt_PT
dc.subjectTheorypt_PT
dc.titleArtificial Intelligence Theory in Service Managementpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage149pt_PT
oaire.citation.startPage137pt_PT
oaire.citation.volume377pt_PT
person.familyNameMelão
person.givenNameNuno
person.identifierSHZuXpwAAAAJ
person.identifier.ciencia-id2F1D-7C4C-9AEE
person.identifier.orcid0000-0002-1359-3437
person.identifier.scopus-author-id6507014196
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication63da8a26-2105-44d8-8c70-13da4b9fe23f
relation.isAuthorOfPublication.latestForDiscovery63da8a26-2105-44d8-8c70-13da4b9fe23f

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