Stem to Stern of Human Resource Management Training: Anticipating Future Research Areas Using Latent Dirichlet Allocation
Human resources (HR) supervises and prepares people to achieve an organisation’s goals. Training boosts organisational growth by improving staff skills and knowledge. HR department organises departmental training. Continue teaching and updating departmental workers and HR managers. HR will learn new ways to adapt to evolving technology, helping the organisation grow. This study classifies Scopus data by research topics and trends. Topic modelling and Latent Dirichlet Allocation (LDA) are used to analyse 4,624 papers from 1961 to 2022. Topic modelling selects 2, 5 and 10 study areas. The author’s keywords in the analysis can help uncover relevant research clusters and provide a more detailed view of the research environment. The study identifies the promising research areas and suggests future directions. Human resource specialists can tailor technology training to skill areas by projecting future research trends. It helps organisations adapt to a fast-changing market, manage resources, engage with industry and academia, and plan strategic HR.
Authors
- Mehdi Gheisari (ORCID: https://orcid.org/0000-0002-5643-0021)
- Shamneesh Sharma
- Chetan Sharma (ORCID: https://orcid.org/0000-0001-5401-8503)
- Sandeep Singh (ORCID: https://orcid.org/0000-0003-2383-1280)
- Purnima Bali (ORCID: https://orcid.org/0000-0003-3591-3005)
Institutions
- Guangzhou University (CN)
- Shoolini University (IN)
Publication Details
- Journal
- South Asian Journal of Human Resources Management
- Published
- 2025-05-19
- DOI
- https://doi.org/10.1177/23220937251339270
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00