HUMAN RESOURCE ANALYTICS AND ITS ROLE IN ENHANCING WORKFORCE PRODUCTIVITY AND DECISION-MAKING

Authors

Faisal Fattah Institut Bisnis dan Keuangan Nitro Makassar
Tri Suparyanto Universitas Sarjanawiyata Tamansiswa
Tomi Apra Santosa Akademi Teknik Adikarya

DOI:

Keywords:

Human Resource Analytics, Workforce Productivity, Decision Making

Abstract

The development of digital technology has brought significant transformation in human resource management, one of which is through the implementation of Human Resource Analytics (HRA). HRA is a data-driven approach that allows organizations to analyze employee behavior, performance, and potential more accurately and predictably. This research aims to examine the role of HRA in increasing workforce productivity and supporting strategic decision-making in modern organizations. The research methods used are systematic literature studies and conceptual analysis of various empirical studies and industry reports related to the implementation of HRA. The results show that the implementation of HRA can improve operational efficiency through data-driven performance measurement, optimization of workforce planning, and identification of employee training and development needs. In addition, HRA also supports more objective and evidence-based managerial decision-making, thereby contributing to increasing the competitiveness of the organization. These findings confirm that the adoption of HRA is not just a technological trend, but an important strategy in realizing adaptive and sustainable HR management in the era of knowledge-based economy.

References

BAl-Shammari, M., Al Bin Ali, F. A., AlRashidi, M. A., & Albuainain, M. S. (2025). Big Data and Predictive Analytics for Strategic Human Resource Management: A Systematic Literature Review. International Journal of Computing and Digital Systems, 17(1). https://doi.org/10.12785/ijcds/1571015706

Alabdali, M. A., Khan, S. A., Yaqub, M. Z., & Alshahrani, M. A. (2024). Harnessing the Power of Algorithmic Human Resource Management and Human Resource Strategic Decision-Making for Achieving Organizational Success: An Empirical Analysis. Sustainability (Switzerland) , 16(11). https://doi.org/10.3390/su16114854

Asnur, L., Jalinus, N., Faridah, A., Apra, T., Ambiyar, R. D., & Utami, F. (2024). Video-blogs ( Vlogs ) -based Project : A Meta Analysis. 14(5), 1553–1557.

Atwal, H. (2025). Leveraging HR Analytics : A Theoretical Exploration Of Its Impact On Decision Making And Organizational Outcomes. 13(3), 756–762.

Delfi Kurnia Zebua, Tomi Apra santosa, & Fegid Dian Putra. (2024). The Role of HR Analytics in Enhancing Organizational Performance: A Review Literature. Indonesia Journal of Engineering and Education Technology (IJEET), 2(2), 363–368. https://doi.org/10.61991/ijeet.v2i2.69

Dewanto, D., Santosa, T. A., Ratih, A., Asrizal, A., & Hardeli, H. (2024). The Influence of the Stem-Based Guided Inquiry Model on Students’ Creative Thinking Skills in Science Learning: A Meta-Analysis Study. Jurnal Penelitian Pendidikan IPA, 10(3), 88–95. https://doi.org/10.29303/jppipa.v10i3.6777

Dutta, S., Ray, A., Chinya, M., Ghatak, S., Mukherjee, A., Bhattacharjee, K., & Das, A. (2024). Predictive HR Analytics to Optimize Decision-Making Processes and Enhance Workforce Performance. International Journal Of Recent Trends In Multidisciplinary Research, 4(April), 79–81. https://doi.org/10.59256/ijrtmr.20240402014

Gowrishankkar, V., Shanmugam, V., Jagajeevan, R., Muthukumar, E., Vaishnavi, D., Jomit, C. P., & Kalimuthu, M. (2025). Enhancing decision-making effective communication of human capital analytics insights. Generative AI for Business Analytics and Strategic Decision Making in Service Industry, 113–136. https://doi.org/10.4018/979-8-3693-7026-1.ch005

Hris, R., & Integration, P. A. (2025). 1 St GRI Conference 2025. April, 215–246. https://doi.org/10.63125/xgew7q22

John, A. S., & HAJAM, A. A. (2024). Leveraging Predictive Analytics for Enhancing Employee Engagement and Optimizing Workforce Planning: A Data-Driven HR Management Approach. International Journal of Innovation in Management, Economics and Social Sciences, 4(4), 33–41. https://ijimes.ir/index.php/ijimes/article/view/145

Kessi, A. M. P., Pananrang, A. D., Muchsidin, F. F., Rizal, M., & Ramlah, R. (2025). The Role of Leadership in Effective and Efficient Human Resource Management Decision Making. Paradoks : Jurnal Ilmu Ekonomi, 8(2), 509–524. https://doi.org/10.57178/paradoks.v8i2.1153

Khan, N. A., Malik, A., & Khan, A. A. (2024). Human resource analytics: A novel approach to bridge the gap between human resource functions and organizational performance. International Journal of Human Capital in Urban Management, 9(2), 267–278. https://doi.org/10.22034/IJHCUM.2024.02.06

Kiran, V. S., Shanmugam, V., Raju, R. K., & Kanagasabapathy, J. R. (2022). Impact of Human Capital Management on Organizational Performance With the Mediation Effect of Human Resource Analytics. International Journal of Professional Business Review, 7(3), 1–27. https://doi.org/10.26668/businessreview/2022.v7i3.0667

Nurbaiti, B. (2021). HR Analytics: Predicting and Enhancing Financial Performance through Human Resource Data. Atestasi : Jurnal Ilmiah Akuntansi, 4(2), 446–462. https://doi.org/10.57178/atestasi.v4i2.819

Ojika, F. U., Onaghinor, O., Esan, O. J., Daraojimba, A. I., & Ubamadu, B. C. (2024). Designing a Workforce Analytics Model to Improve Employee Productivity and Wellbeing: A Conceptual Framework for Talent Management and Organizational Efficiency. International Journal of Multidisciplinary Research and Growth Evaluation, 5(1), 1635–1646. https://doi.org/10.54660/.ijmrge.2024.5.1.1635-1646

Oktarina, K., Suhaimi, Santosa, T. A., Razak, A., Irdawati, Ahda, Y., Lufri, & Putri, D. H. (2021). Meta-Analysis: The Effectiveness of Using Blended Learning on Multiple Intelligences and Student Character Education During the Covid-19 Period. International Journal of Education and Curriculum Application, 4(3), 184–192. http://journal.ummat.ac.id/index.php/IJECA/article/view/5505

Ramakrishna, K., Balaji, S., & Kumar, M. S. (2024). The Impact of HR Analytics on Enhancing Human Resource Management Practices and Employee Performance in Indian IT MNCs. Cuestiones de Fisioterapia, 53(3), 2312–2321.

Rifka Alkhilyatul Ma’rifat, I Made Suraharta, I. I. J. (2024). No Title 済無No Title No Title No Title. 2(August), 306–312.

Rosaline, E. (2019). Strategies for Using Analytics to Improve Human Resource Management - ProQuest. https://www.proquest.com/openview/f64cb476f623ee6dbd37db9d5038e1bf/1?pq-origsite=gscholar&cbl=18750&diss=y

Srinivas, S. K., Kumar, A. A., Basavaraj, S., & Sivalingam, K. C. (2024). Examining Human Resource Factors Influencing Analytical Decision Making and Organizational Effectiveness in Technology Driven Companies. International Journal of Professional Business Review, 9(2), e04296. https://doi.org/10.26668/businessreview/2024.v9i2.4296

Srivastava, S. (2025). The Adoption of HR Analytics in Decision-Making: Challenges and Opportunities. International Journal of Innovative Research in Engineering and Management (IJIREM) ISSN, 12, 100–104. www.ijirem.org

Tessema, S. A., Yang, S., & Chen, C. (2025). The Effect of Human Resource Analytics on Organizational Performance: Insights from Ethiopia. Systems, 13(2). https://doi.org/10.3390/systems13020134

Tuli, F. A., Varghese, A., & Ande, J. R. P. K. (2018). Data-Driven Decision Making: A Framework for Integrating Workforce Analytics and Predictive HR Metrics in Digitalized Environments. Global Disclosure of Economics and Business, 7(2), 109–122. https://doi.org/10.18034/gdeb.v7i2.724

Wibowo, C. A., & Anhara, A. (2025). Human Resource Analytics : an Integrative Review of Data-Driven HR Decision Making. 5(03), 349–358.

Winiasri, L., Santosa, T. A., Yohandri, Y., Razak, A., Festiyed, F., & Zulyusri, Z. (2023). Ethno-Biology Learning Model Based on Design Thinking to Improve Students’ Critical Thinking Skills. Jurnal Penelitian Pendidikan IPA, 9(9), 7767–7774. https://doi.org/10.29303/jppipa.v9i9.4213