Exploring the landscape of human resource analytics: a systematic literature review and future agenda

This paper's objective is to scientifically identify the present research trends for future research agenda in Human Resource Analytics (HRA) domain by conducting a comprehensive literature study. Our proposed article applied the existing SPAR-4-SLR protocol for the systematic assessment of the HRA literature. Based on search parameters including subject, function, and language, the authors discovered 226 publications from the Scopus database. We performed a systematic literature review by considering the top 60 highly cited publications and identified five key themes such as HR analytics, Training and Development, Performance Management, Big Data, AI and ML, and Human Resource Information System and Organisation Development. This study extends the HRA research by incorporating systematic assessment to build a systematic grasp of the field of study and highlights the emerging relevance of HRA for effective, objective, and transparent Human Resource Development (HRD).