IMPACT OF HR ANALYTICS ON ORGANIZATIONAL PERFORMANCE: A CONCEPTUAL MODEL

HRA Capability has emerged as a strategic capability that enables organizations to improve human capital management and achieve superior OP. This research paper proposes an integrative framework showing that HRA Capability influences OP through Strategic HRM, while organizational capabilities strengthen these relationships. The framework identifies Data Quality, HR Information System, Predictive Analytics, Workforce Analytics, Analytical Competency, Artificial Intelligence, and Data-Driven HR Decisions as the core dimensions of HRA Capability, whereas Evidence-Based Decision Making, Strategic Talent Acquisition, Strategic Performance Management, Strategic Talent Development, Strategic Talent Management, Employee Engagement, Strategic Workforce Planning, and Strategic Employee Retention represent the key dimensions of Strategic HRM that translate analytical insights into improved OP. The study further establishes that Leadership Support, Organizational Culture, Digital Infrastructure, Analytical Skills, Data Governance, and Organizational Readiness strengthen the implementation of HRA and enhance outcomes reflected through Employee Productivity, Operational Efficiency, Employee Satisfaction, Employee Retention, Innovation Capability, Organizational Effectiveness, Financial Performance, and Competitive Advantage. Overall, the proposed framework provides a strong foundation for future empirical validation and practical application of HRA to achieve sustainable OP.

·       Abraham, R., Schneider, J., & vom Brocke, J. (2019). Data governance: A conceptual framework, structured review, and research agenda. International Journal of Information Management, 49, 424–438. https://doi.org/10.1016/j.ijinfomgt.2019.07.008 ·       Alagaraja, M. (2013). HRD and HRM perspectives on organizational performance: A review of literature. Human Resource Development Review, 12(2), 117–143. https://doi.org/10.1177/1534484312450868 ·       Angrave, D., Charlwood, A., Kirkpatrick, I., Lawrence, M., & Stuart, M. (2016). HR and analytics: Why HR is set to fail the big data challenge. Human Resource Management Journal, 26(1), 1–11. https://doi.org/10.1111/1748-8583.12090 ·       Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108 ·       Becker, G. S. (1964). Human capital: A theoretical and empirical analysis, with special reference to education. University of Chicago Press. ·       Boudreau, J. W., & Ramstad, P. M. (2007). Beyond HR: The new science of human capital. Harvard Business School Press. ·       Cameron, K. S. (1986). Effectiveness as paradox: Consensus and conflict in conceptions of organizational effectiveness. Management Science, 32(5), 539–553. https://doi.org/10.1287/mnsc.32.5.539 ·       Ghasemaghaei, M. (2020). Improving organizational performance through the use of big data. Journal of Computer Information Systems, 60(5), 395–408. https://doi.org/10.1080/08874417.2018.1496805 ·       Hausknecht, J. P., Rodda, J., & Howard, M. J. (2009). Targeted employee retention: Performance-based and job-related differences in reported reasons for staying. Human Resource Management, 48(2), 269–288. https://doi.org/10.1002/hrm.20279 ·       Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard—Measures that drive performance. Harvard Business Review, 70(1), 71–79. Retrieved from https://hbr.org/1992/01/the-balanced-scorecard-measures-that-drive-performance ·       Margherita, A. (2022). Human resources analytics: A systematization of research topics and directions for future research. Human Resource Management Review, 32(2), Article 100795. https://doi.org/10.1016/j.hrmr.2020.100795