dc.creator | Palos Sánchez, Pedro Ramiro | es |
dc.creator | Baena Luna, Pedro | es |
dc.creator | Badicu, A. | es |
dc.creator | Infante-Moro, J.C. | es |
dc.date.accessioned | 2022-11-18T11:23:23Z | |
dc.date.available | 2022-11-18T11:23:23Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Palos Sánchez, P.R., Baena Luna, P., Badicu, A. y Infante-Moro, J.C. (2022). Artificial Intelligence and Human Resources Management: A Bibliometric Analysis. Applied Artificial Intelligence, 36 (1), 2145631. https://doi.org/10.1080/08839514.2022.2145631. | |
dc.identifier.issn | 0883-9514 (impreso) | es |
dc.identifier.issn | 1087-6545 (electrónico) | es |
dc.identifier.uri | https://hdl.handle.net/11441/139594 | |
dc.description.abstract | Artificial Intelligence (AI) is increasingly present in organizations.
In the specific case of Human Resource Management (HRM), AI
has become increasingly relevant in recent years. This article
aims to perform a bibliometric analysis of the scientific literature
that addresses in a connected way the application and impact of
AI in the field of HRM. The scientific databases consulted were
Web of Science and Scopus, yielding an initial number of 156
articles, of which 73 were selected for subsequent analysis. The
information was processed using the Bibliometrix tool, which
provided information on annual production, analysis of journals,
authors, documents, keywords, etc. The results obtained show
that AI applied to HRM is a developing field of study with
constant growth and a positive future vision, although it should
also be noted that it has a very specific character as a result of
the fact that most of the research is focused on the application
of AI in recruitment and selection actions, leaving aside other
sub-areas with a great potential for application. | es |
dc.format | application/pdf | es |
dc.format.extent | 28 p. | es |
dc.language.iso | eng | es |
dc.publisher | Taylor and Francis | es |
dc.relation.ispartof | Applied Artificial Intelligence, 36 (1), 2145631. | |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Artificial intelligence | es |
dc.subject | Human resources management | es |
dc.subject | Bibliometrix | es |
dc.subject | Personnel recruitment | es |
dc.subject | Emerging technologies | es |
dc.title | Artificial Intelligence and Human Resources Management: A Bibliometric Analysis | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Administración de Empresas y Comercialización e Investigación de Mercados (Marketing) | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Economía Financiera y Dirección de Operaciones | es |
dc.relation.publisherversion | https://doi.org/10.1080/08839514.2022.2145631 | es |
dc.identifier.doi | 10.1080/08839514.2022.2145631 | es |
dc.journaltitle | Applied Artificial Intelligence | es |
dc.publication.volumen | 36 | es |
dc.publication.issue | 1 | es |
dc.publication.initialPage | 2145631 | es |