Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/27174
Registo completo
Campo DCValorIdioma
dc.contributor.authorLoureiro, S. M. C.-
dc.contributor.authorBilro, R. G.-
dc.contributor.authorNeto, D.-
dc.date.accessioned2023-01-12T19:17:21Z-
dc.date.issued2023-
dc.identifier.citationLoureiro, S. M. C., Bilro, R. G., Neto, D. (2023). Working with AI: Can stress bring happiness? Service Business, 17, 233-255. http://dx.doi.org/10.1007/s11628-022-00514-8-
dc.identifier.issn1862-8516-
dc.identifier.urihttp://hdl.handle.net/10071/27174-
dc.description.abstractThis paper explores the effect of artificial intelligence (AI) on employee happiness and proposes a model founded on stress and coping theory to analyze the effect of benign stress on employee happiness and its indirect effect via employee engagement. It combines semi-structured interviews with employees working alongside AI algorithms and agents and surveys 200 employees to assess the proposed model. The results demonstrate that incorporating AI in the workplace can generate stress and affect human well-being but can also be a motivational factor instead of a concern, and that employee engagement plays an essential role in mediating the relationship.eng
dc.language.isoeng-
dc.publisherSpringer-
dc.rightsopenAccess-
dc.subjectEmployee engagementeng
dc.subjectArtificial intelligenceeng
dc.subjectBenign stresseng
dc.subjectEmployee happinesseng
dc.subjectSelf-esteemeng
dc.titleWorking with AI: Can stress bring happiness?eng
dc.typearticle-
dc.pagination233 - 255-
dc.peerreviewedyes-
dc.volume17-
dc.date.updated2023-03-17T10:10:18Z-
dc.description.versioninfo:eu-repo/semantics/acceptedVersion-
dc.identifier.doi10.1007/s11628-022-00514-8-
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopor
dc.date.embargo2023-11-04-
iscte.subject.odsTrabalho digno e crescimento económicopor
iscte.subject.odsIndústria, inovação e infraestruturaspor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-91410-
iscte.alternateIdentifiers.wosWOS:000878963500001-
iscte.alternateIdentifiers.scopus2-s2.0-85141349640-
iscte.journalService Business-
Aparece nas coleções:BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica

Ficheiros deste registo:
Ficheiro TamanhoFormato 
article_91410.pdf502,4 kBAdobe PDFVer/Abrir


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis Logotipo do Orcid 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.