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dc.contributor.authorBelizón Cebada, María Jesúses-ES
dc.contributor.authorMajarín, Deliaes-ES
dc.contributor.authorAguado, Davides-ES
dc.date.accessioned2024-09-04T10:47:12Z-
dc.date.available2024-09-04T10:47:12Z-
dc.date.issued2023-09-14es_ES
dc.identifier.issn17404754es_ES
dc.identifier.urihttps://doi.org/10.1111/emre.12605es_ES
dc.descriptionArtículos en revistases_ES
dc.description.abstract.es-ES
dc.description.abstractExisting scholarship offers a comprehensive understanding of the concept and purposes of human resource analytics (HRA). However, how HRA is carried out in practice in organisations is still under-researched. We examine the practice of HRA through a systematic review across three disciplines, namely, human resource management, business analytics and management information systems while using a process lens: the knowledge discovery process (KDD) model. A hundred and three high-end quality manuscripts were analysed. Our findings show that the scope of HRA is expanding both in the use of HR and business data and certain sophisticated statistical techniques. However, much needs to be done to uncover the measurable impact of HRA on HR and business outcomes.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightsCreative Commons Reconocimiento-NoComercial-SinObraDerivada Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/es_ES
dc.sourceRevista: European Management Review, Periodo: 1, Volumen: Online first, Número: Online first, Página inicial: 1, Página final: 19es_ES
dc.titleHuman resources analytics in practice: A knowledge discovery processes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.holderes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.keywords.es-ES
dc.keywordsanalytics projects, data-driven decision making, HR analytics, people analytics, process lensen-GB
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