Framing of the research. The advancement of AI is transforming the way human resources are managed in organizations, introducing new capabilities to Human Resource Management (HRM). Thus, there is a pressing need to examine new and more effective approaches to Human Resource Development (HRD). Purpose of the paper. This paper aims to shed light on the current knowledge and contributions of the AI in HRD. In this way, we develop a holistic view of the role of AI in the employee journey. Methodology. To achieve our goal, two types of bibliometric analysis was carried out: Keyword Co-occurrence Analysis and Bibliographic Coupling Analysis on a total of 151 publications published between 2002 and 2022. A similarity visualization program (VOSviewer) was used to visually showcase the results. Results. Findings highlight the Top 5 Authors, Sources, Papers and Institutions, in terms of the prolificacy of contributions in the field of AI in HRD. The relevant contribution is the identification and classification of main topics and clusters that have been highlighted. Research limitations. It should be acknowledged that the findings are rooted in one database, Scopus, and only publications in English were considered. Managerial implications. We offer three theoretical and institutional implications for advancing further research on the AI in HRD literature. At the same time, findings from this research may also be of practical interest to companies. Originality of the paper. This is one of the first bibliometric studies in the HRD and AI field in the view of Personal Development. Thus, we provide a first systematization of the contributions developed in the last twenty years in this novel field of research.

Human resource development and artificial intelligence in the view of personal development. A literature review and bibliometric analysis / Laviola, Francesco; Cucari, Nicola; Novic, Harry. - Electronic Conference Proceedings - Long Papers(2023), pp. 347-372. (Intervento presentato al convegno Sinergie Sima Management Conference - Rediscovering local roots and interactions in management tenutosi a Bari; Italy) [10.7433/SRECP.LP.2023.01].

Human resource development and artificial intelligence in the view of personal development. A literature review and bibliometric analysis

Francesco Laviola
Primo
;
Nicola Cucari
Secondo
;
2023

Abstract

Framing of the research. The advancement of AI is transforming the way human resources are managed in organizations, introducing new capabilities to Human Resource Management (HRM). Thus, there is a pressing need to examine new and more effective approaches to Human Resource Development (HRD). Purpose of the paper. This paper aims to shed light on the current knowledge and contributions of the AI in HRD. In this way, we develop a holistic view of the role of AI in the employee journey. Methodology. To achieve our goal, two types of bibliometric analysis was carried out: Keyword Co-occurrence Analysis and Bibliographic Coupling Analysis on a total of 151 publications published between 2002 and 2022. A similarity visualization program (VOSviewer) was used to visually showcase the results. Results. Findings highlight the Top 5 Authors, Sources, Papers and Institutions, in terms of the prolificacy of contributions in the field of AI in HRD. The relevant contribution is the identification and classification of main topics and clusters that have been highlighted. Research limitations. It should be acknowledged that the findings are rooted in one database, Scopus, and only publications in English were considered. Managerial implications. We offer three theoretical and institutional implications for advancing further research on the AI in HRD literature. At the same time, findings from this research may also be of practical interest to companies. Originality of the paper. This is one of the first bibliometric studies in the HRD and AI field in the view of Personal Development. Thus, we provide a first systematization of the contributions developed in the last twenty years in this novel field of research.
2023
Sinergie Sima Management Conference - Rediscovering local roots and interactions in management
artificial Intelligence; human resource management; human resource development; personal development; literature review; bibliometric analysis
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Human resource development and artificial intelligence in the view of personal development. A literature review and bibliometric analysis / Laviola, Francesco; Cucari, Nicola; Novic, Harry. - Electronic Conference Proceedings - Long Papers(2023), pp. 347-372. (Intervento presentato al convegno Sinergie Sima Management Conference - Rediscovering local roots and interactions in management tenutosi a Bari; Italy) [10.7433/SRECP.LP.2023.01].
File allegati a questo prodotto
File Dimensione Formato  
Laviola_Human-resource-development_2023.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.81 MB
Formato Adobe PDF
1.81 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1689276
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact