Human resources analytics: A systematization of research topics and directions for future research

The management of human resources is today significantly impacted by the emergence of the global workforce and the increasing relevance of business analytics as a strategic organizational capability. Whereas human resources analytics has been largely discussed in literature in the last decade, a systematic identification and classification of key topics is yet to be introduced. In particular, there is room for conceptual contributions aiming to provide a comprehensive defi-nition of concepts and investigation areas related to HR analytics. Using a systematic literature review process, we deconstruct the concept of human resources analytics as presented in a vast although fragmented literature, and we identify 106 key research topics associated to three major areas, i.e. enablers of HR analytics (technological and organizational), applications (descriptive and diagnostic/prescriptive), and value (employee value and organizational value). We also speculate on an exponential view of HR analytics enabled by the affirmation of artificial in-telligence and cognitive technologies. The article provides a large systematization effort and a research agenda for developing further studies in the field of HR analytics. By a practitioner perspective, the study offers insights to support the design of innovative analytics projects within organizations.

Automated summary

This study deconstructs the concept of human resources analytics and identifies key research topics associated with enablers, applications, and value. It also speculates on the future development of HR analytics with artificial intelligence and cognitive technologies. The study provides a systematic review and research agenda for further studies, and offers insights for practitioners in designing innovative analytics projects within organizations.