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.
Selected Paper - Sinergie-SIMA Management Conference 2023 / Laviola, Francesco; Cucari, Nicola; Novic, Harry. - (2023).
Selected Paper - Sinergie-SIMA Management Conference 2023
Francesco Laviola
Primo
;Nicola CucariSecondo
;
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.