Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/26109
DC FieldValueLanguage
dc.contributor.authorPereira, Vijay-
dc.contributor.authorHadjielias, Elias-
dc.contributor.authorChristofi, Michael-
dc.contributor.authorVrontis, Demetris-
dc.date.accessioned2022-03-10T07:35:01Z-
dc.date.available2022-03-10T07:35:01Z-
dc.date.issued2021-09-
dc.identifier.citationHuman Resource Management Review, 2021, articl. no. 100857en_US
dc.identifier.issn10534822-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/26109-
dc.description.abstractArtificial intelligence (AI) can bring both opportunities and challenges to human resource management (HRM). While scholars have been examining the impact of AI on workplace outcomes more closely over the past two decades, the literature falls short in providing a holistic scholarly review of this body of research. Such a review is needed in order to: (a) guide future research on the effects of AI on the workplace; and (b) help managers make proper use of AI technology to improve workplace and organizational outcomes. This is the first systematic review to explore the relationship between artificial intelligence and workplace outcomes. Through an exhaustive systematic review and analysis of existing literature, we ultimately examine and cross-relate 60 papers, published in 30 leading international (AJG 3 and 4) journals over a period of 25 years (1995–2020). Our review researches the AI-workplace outcomes nexus by drawing on the major functions of human resource management and the process framework of ‘antecedents, phenomenon, outcomes’ at multiple levels of analysis. We review the sampled articles based on years of publication, theories, methods, and key themes across the ‘antecedents, phenomenon, outcomes’ framework. We provide useful directions for future research by embedding our discussion within HR literature, while we recommend topics drawing on alternative units of analysis and theories that draw on the individual, team, and institutional levels.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofHuman Resource Management Reviewen_US
dc.rights© Elsevieren_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectArtificial intelligenceen_US
dc.subjectWorkplace outcomesen_US
dc.subjectIntegrative frameworken_US
dc.subjectSystematic reviewen_US
dc.titleA systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspectiveen_US
dc.typeArticleen_US
dc.collaborationNeoma Business Schoolen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationUniversity of Nicosiaen_US
dc.subject.categoryEconomics and Businessen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.countryFranceen_US
dc.subject.fieldSocial Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1016/j.hrmr.2021.100857en_US
dc.identifier.scopus2-s2.0-85114687655-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85114687655-
cut.common.academicyear2021-2022en_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.openairetypearticle-
crisitem.journal.journalissn1053-4822-
crisitem.journal.publisherElsevier-
crisitem.author.deptDepartment of Management, Entrepreneurship and Digital Business-
crisitem.author.deptDepartment of Management, Entrepreneurship and Digital Business-
crisitem.author.facultyFaculty of Tourism Management, Hospitality and Entrepreneurship-
crisitem.author.facultyFaculty of Tourism Management, Hospitality and Entrepreneurship-
crisitem.author.orcid0000-0002-3962-6188-
crisitem.author.orcid0000-0002-7457-2701-
crisitem.author.parentorgFaculty of Tourism Management, Hospitality and Entrepreneurship-
crisitem.author.parentorgFaculty of Tourism Management, Hospitality and Entrepreneurship-
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