Global Journal of Management and Business Research, A: Administration and Management, Volume 23 Issue 5

Source: Moher et al., (2009) Figure 1: Prisma Flow Diagram detailing Steps in the Identification and Screening of Sources On the research question (RQ1), we analysed the key attributes of the literature and research trends currently on AI in HRM. A total of 247 Scopus-indexed documents spanning the last 25 years represent a rapidly increasing foundation of knowledge related to AI in HRM. The source type represented in Table 1 reflect that journal papers contributed to 49.80% of the published documents on AI research in the HRM domain, while conference papers contributed 39.68% and book series 9.72%. Table 2 represents citation metrics, and it shows that there is an average of 68 citations per year. Table 1: Publications by Source Type S ource: Scopus Database;1993 to 2020 and Authors Compilation Research on Artificial Intelligence in Human Resource Management: Trends and Prospects 33 Global Journal of Management and Business Research Volume XXIII Issue V Version I Year 2023 ( ) A © 2023 Global Journals III. A nalysis and F indings