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Intelligent human resources for the adoption of artificial intelligence: a systematic literature review

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dc.contributor.authorJatoba, Mariana Namen
dc.contributor.authorFerreira, João José
dc.contributor.authorFernandes, Paula Odete
dc.contributor.authorTeixeira, João Paulo
dc.date.accessioned2023-03-21T14:56:10Z
dc.date.available2023-03-21T14:56:10Z
dc.date.issued2023
dc.description.abstractThis study is dedicated to critically analysing research addressing human resource management (HRM) and the adoption of artificial intelligence (AI) with the purpose of driving development in the field of human resources (HR) at the strategic and managerial level. Design/methodology/approach – A systematic literature review (SLR) was conducted using the Scopus database, which gathered 61 articles between 2002 and 2022. The SLR process has the potential to, in addition to generating knowledge and theories, support and guide policy development and practice in many disciplines. Findings – The results of this study allowed the author to identify three main conclusions: (a) there are four thematic clusters – (i) Strategic HR and AI, (ii) Recruitment and AI, (iii) Training and AI and (iv) Future of work; (b) there is a growing academic interest in studying the implementation of AI to develop the HR sector and (c) the application of AI stands out in the strategic HR and AI cluster as a means of achieving profit maximisation and the overall development of the organisation. Originality/value – This study is the first SLR to present a strategic and managerial view on AI applications associated with specificHRMdimensions. The study is also the first SLR to identify key trends in the literature, drivers and obstacles to the development of AI in HRM and then place them within the landscape of positive and negative approaches in a framework. Also, as a contribution, the study has practical implications for HR managers and practitioners in adopting AI as a decision support in the area’s processes.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationJatobá, Mariana Namen; Ferreira, João J.; Fernandes, Paula O.; Teixeira, João Paulo (2023). Intelligent human resources for the adoption of artificial intelligence: a systematic literature review. Journal of Organizational Change Management.pt_PT
dc.identifier.doi10.1108/JOCM-03-2022-0075pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27908
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectHuman resourcespt_PT
dc.subjectArtificial intelligencept_PT
dc.subjectDisruptive technologiespt_PT
dc.subjectFuture of workpt_PT
dc.subjectSystematic literature reviewpt_PT
dc.titleIntelligent human resources for the adoption of artificial intelligence: a systematic literature reviewpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleJournal of Organizational Change Managementpt_PT
person.familyNameFernandes
person.familyNameTeixeira
person.givenNamePaula Odete
person.givenNameJoão Paulo
person.identifierN-3804-2013
person.identifier663194
person.identifier.ciencia-id991D-9D1E-D67D
person.identifier.ciencia-id4F15-B322-59B4
person.identifier.orcid0000-0001-8714-4901
person.identifier.orcid0000-0002-6679-5702
person.identifier.ridN-6576-2013
person.identifier.scopus-author-id35200741800
person.identifier.scopus-author-id57069567500
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication2269147c-2b53-4d1c-bc1b-f1367d197262
relation.isAuthorOfPublication33f4af65-7ddf-46f0-8b44-a7470a8ba2bf
relation.isAuthorOfPublication.latestForDiscovery2269147c-2b53-4d1c-bc1b-f1367d197262

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