The Role of HR Analytics in Enhancing Organizational Performance: A Review Literature
DOI:
https://doi.org/10.61991/ijeet.v2i2.69Keywords:
Organizational performance; Employee development; HR AnalyticsAbstract
The advent of Human Resource (HR) analytics has revolutionized the way organizations manage their workforce, enabling data-driven decision-making and strategic planning. This literature review aims to synthesize recent research on the role of HR analytics in enhancing organizational performance. By systematically analyzing studies published over the past decade, we identify key themes, methodologies, and findings that highlight the impact of HR analytics on various performance metrics. The review reveals that HR analytics contributes significantly to improving recruitment processes, employee retention, talent management, and overall organizational effectiveness. Moreover, the integration of advanced analytics tools and techniques, such as predictive modeling and machine learning, has been shown to provide deeper insights into employee behavior and organizational dynamics. Despite its benefits, the implementation of HR analytics faces several challenges, including data privacy concerns, the need for specialized skills, and resistance to change within organizations. This review concludes by discussing the implications for HR practitioners and offering recommendations for future research to address the existing gaps and further harness the potential of HR analytics in driving organizational success.
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References
Alagaraja, M. (2013). HRD and HRM Perspectives on Organizational Performance A Review of Literature. Human Resource Development Review, 12, 117–143. https://doi.org/10.1177/1534484312450868
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
McCartney, S., & Fu, N. (2022). Bridging the gap: Why, how and when HR analytics can impact organizational performance. Management Decision, 60(13), 25–47. https://doi.org/10.1108/MD-12-2020-1581
Momin, W. Y. M., & Mishra, D. K. (n.d.). HR analytics: Re-inventing human resource management.
Nair, M. (2023). Status and Importance of Analytics in HR Management: A Systematic Literature Review. 22(2).
Opatha, H. H. D. P. J. (2020). HR Analytics: A Literature Review and New Conceptual Model. International Journal of Scientific and Research Publications (IJSRP), 10. https://doi.org/10.29322/IJSRP.10.06.2020.p10217
Peeters, T., Paauwe, J., & Van, D. V. K. (2020). People analytics effectiveness: Developing a framework. Journal of Organizational Effectiveness: People and Performance, 7(2), 203–219. https://doi.org/10.1108/JOEPP-04-2020-0071
Ramzi, B., & Elrayah, M. (2021). The Reasons that Affect the Implementation of HR Analytics among HR Professionals. Canadian Journal of Business and Information Studies. https://doi.org/10.34104/cjbis.021.029037
Sharma, D. V. (2022). Research Scholar Department of Management Studies University of Madras. International Journal of Early Childhood Special Education, 14(03).
Shet, Sateesh. V., Poddar, T., Wamba Samuel, F., & Dwivedi, Y. K. (2021). Examining the determinants of successful adoption of data analytics in human resource management – A framework for implications. Journal of Business Research, 131, 311–326. https://doi.org/10.1016/j.jbusres.2021.03.054
Suri, N., & Lakhanpal, P. (2024). People Analytics Enabling HR Strategic Partnership: A Review. South Asian Journal of Human Resources Management, 11(1), 130–164. https://doi.org/10.1177/23220937221119599
Utomo, W., Suryono, W., Jimmi, J., Santosa, T. A., & Agustina, I. (2023). Effect of STEAM-Based Hybrid Based Learning Model on Students’ Critical Thinking Skills. Jurnal Penelitian Pendidikan IPA, 9(9), 742–750. https://doi.org/10.29303/jppipa.v9i9.5147
Zulkifli, Z., Satria, E., Supriyadi, A., & Santosa, T. A. (2022). Meta-analysis: The effectiveness of the integrated STEM technology pedagogical content knowledge learning model on the 21st century skills of high school students in the science department. Psychology, Evaluation, and Technology in Educational Research, 5(1), Article 1. https://doi.org/10.33292/petier.v5i1.144
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