Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/30011
DC FieldValueLanguage
dc.contributor.authorVrontis, Demetris-
dc.contributor.authorChristofi, Michael-
dc.contributor.authorPereira, Vijay-
dc.contributor.authorTarba, Shlomo-
dc.contributor.authorMakrides, Anna-
dc.contributor.authorTrichina, Eleni-
dc.date.accessioned2023-07-28T09:05:44Z-
dc.date.available2023-07-28T09:05:44Z-
dc.date.issued2022-01-01-
dc.identifier.citationInternational Journal of Human Resource Management, 2022, vol. 33, iss. 6, pp. 1237 - 1266en_US
dc.identifier.issn09585192-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/30011-
dc.description.abstractAlthough academic production in intelligent automation (e.g. artificial intelligence, robotics) has grown rapidly, we still lack a comprehensive understanding of the impacts of the utilization of these technologies in human resource management (HRM) at an organizational (firms) and individual (employees) level. This study therefore aims to systematize the academic inputs on intelligent automation so far and to clarify what are its main contributions to and challenges for HRM. In a systematic search of 13,136 potentially relevant studies published in the top HRM, international business (IB), general management (GM) and information management (IM) journals, we found 45 articles studying artificial intelligence, robotics and other advanced technologies within HRM settings. Results show that intelligent automation technologies constitute a new approach to managing employees and enhancing firm performance, thus offering several opportunities for HRM but also considerable challenges at a technological and ethical level. The impact of these technologies has been identified to concentrate on HRM strategies, namely, job replacement, human-robot/AI collaboration, decision-making and learning opportunities, and HRM activities, namely, recruiting, training and job performance. This study discusses these shifts in detail, along with the main contributions to theory and practice and directions for future research.en_US
dc.language.isoenen_US
dc.relation.ispartofThe International Journal of Human Resource Managementen_US
dc.rights© Informa UK Limited, trading as Taylor & Francis Groupen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectadvanced technologiesen_US
dc.subjectartificial intelligenceen_US
dc.subjecthuman resource managementen_US
dc.subjectIntelligent automationen_US
dc.subjectinternational businessen_US
dc.subjectroboticsen_US
dc.subjectsystematic reviewen_US
dc.titleArtificial intelligence, robotics, advanced technologies and human resource management: a systematic reviewen_US
dc.typeArticleen_US
dc.collaborationUniversity of Nicosiaen_US
dc.collaborationNeoma Business Schoolen_US
dc.collaborationUniversity of Birminghamen_US
dc.subject.categoryEconomics and Businessen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.countryUnited Kingdomen_US
dc.countryFranceen_US
dc.subject.fieldSocial Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1080/09585192.2020.1871398en_US
dc.identifier.scopus2-s2.0-85100864122-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85100864122-
dc.relation.issue6en_US
dc.relation.volume33en_US
cut.common.academicyear2022-2023en_US
dc.identifier.spage1237en_US
dc.identifier.epage1266en_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypearticle-
item.grantfulltextnone-
crisitem.journal.journalissn1466-4399-
crisitem.journal.publisherTaylor & Francis-
crisitem.author.deptDepartment of Management, Entrepreneurship and Digital Business-
crisitem.author.facultyFaculty of Tourism Management, Hospitality and Entrepreneurship-
crisitem.author.orcid0000-0002-7457-2701-
crisitem.author.parentorgFaculty of Tourism Management, Hospitality and Entrepreneurship-
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