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Human resources analytics in practice: A knowledge discovery process
dc.contributor.author | Belizón Cebada, María Jesús | es-ES |
dc.contributor.author | Majarín, Delia | es-ES |
dc.contributor.author | Aguado, David | es-ES |
dc.date.accessioned | 2024-09-04T10:47:12Z | |
dc.date.available | 2024-09-04T10:47:12Z | |
dc.date.issued | 2023-09-14 | es_ES |
dc.identifier.issn | 17404754 | es_ES |
dc.identifier.uri | https://doi.org/10.1111/emre.12605 | es_ES |
dc.description | Artículos en revistas | es_ES |
dc.description.abstract | . | es-ES |
dc.description.abstract | Existing 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.mimetype | application/pdf | es_ES |
dc.language.iso | en-GB | es_ES |
dc.rights | Creative Commons Reconocimiento-NoComercial-SinObraDerivada España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | es_ES |
dc.source | Revista: European Management Review, Periodo: 1, Volumen: Online first, Número: Online first, Página inicial: 1, Página final: 19 | es_ES |
dc.title | Human resources analytics in practice: A knowledge discovery process | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.description.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.rights.holder | es_ES | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.keywords | . | es-ES |
dc.keywords | analytics projects, data-driven decision making, HR analytics, people analytics, process lens | en-GB |
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