Unleashing Organisational Potential: Exploring the Transformative Power of Cutting-Edge HR Analytics - A Systematic Review

Abstract

Due to globalization, organizations have integrated human resource (HR) analytics into their operations. The study employs Paul’s Theory-Context-Construct-Methodology (TCCM) theory, context, construct, and methods framework and integrates data from Scopus and Web of Science databases, with 64 relevant publications after filtering articles. Findings comprise theories, contexts, industries, participants, constructs, research techniques, and annual publication trends. The identified theories include the resource-based view (RBV), technology environment organization (TOE) paradigm, diffusion of innovation, social exchange theory, and more. India leads in contextual studies, but manufacturing and service industries dominate. HR Professionals are the major population, and performance expectancy is a commonly studied construct. The majority of studies use the questionnaire method to conduct studies on HR Analytics. The study investigates the cultural disparities, longitudinal surveys, the influence of artificial intelligence (AI) on human resource functions, and challenges encountered by machine learning technology. The study emphasizes human resource management system (HRMS) models, comparative analytics, leadership tactics, and the impact of HR Analytics during crises. Leading journals include "The Journal of Organizational Effectiveness" and “The International Journal of Organizational Analysis," The study addresses gaps in the literature groups into four frameworks and provides a critical analysis of identified research gaps thereby offering insights for HR practitioners, experts, and stakeholders in HR Analytics.