Table 1

Area of future study

Areas for future studies
Longitudinal StudiesTracking HR Analytics and AI implementation over time helps identify adoption trends, impacts, and challenges. Long-term data provides insights into their sustained effects on HR practices and organizational success
Comparative StudiesComparing HR Analytics and AI across industries reveals sector-specific differences and best practices, helping organizations customize strategies to their needs
Ethical ConsiderationsResearch should examine ethical issues like data privacy, bias, and transparency to ensure responsible AI use in HR. For example: Investigate frameworks for fairness in AI algorithms to ensure equitable recruitment and employee evaluations (Rigotti and Fosch-Villaronga, 2024; Kelan, 2023)
HR Analytics Maturity ModelsHR maturity models help assess current adoption levels and guide organizations toward data-driven HR practices
Impact on Organizational PerformanceExamining HR Analytics' impact on revenue, productivity, and satisfaction highlights its return on investment

Source(s): Authors’ own creation/work

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