The Left Shift: A Systematic Literature Review on Journey From Traditional HRM to Smart HRM

Purpose The study aims to examine all the research carried out under the scope of electronic human resource management (E-HRM) and Smart HRM, categorized within the primary HRM function. The research papers included in this study are from the last 10 years to ensure current findings. The keyword search adopted for the study consists of “AI in HRM,” “E-HRM,” and “Digital HRM.” These studies were sourced from online databases such as Scopus, Emerald, Web of Science, and Google Scholar. Need of the Study The study reviews a wide range of publications covering the perspectives of E-HRM and Smart HRM, condensing them into a single article to facilitate further research. The study also outlines modern approaches and the impact of digitization on HRM. Methodology For the study, a total of 441 articles and research papers were reviewed, out of which 352 were disqualified. Consequently, 88 publications that met the inclusion criteria were added to the research. Findings The research employs a qualitative methodology. “Does human-machine interaction lead to the shift of traditional HRM to smart HRM?” is the question proposed in this study. This article looks closely at the approaches that contributed to the shift from traditional HRM to smart HRM. Practical Implications The author has attempted to concentrate on the emerging AI technologies that are being employed in HR procedures while keeping an eye on the bigger picture of HRM.