Human Capital Analytics for Predicting Employee Turnover in Hybrid Work Environments
Keywords:
Human Capital Analytics, Employee Turnover, Hybrid Work Environment, People Analytics, Retention StrategyAbstract
Purpose: This study aims to examine the role of human capital analytics in predicting employee turnover within hybrid work environments and to explore its implications for strategic human resource management.
Subjects and Methods: The research employs a systematic literature-based approach by synthesizing empirical and theoretical studies related to people analytics, predictive modeling, and hybrid work practices. Various sources are analyzed to identify key predictors of employee turnover and to evaluate the effectiveness of advanced analytical techniques in workforce management.
Results: The findings reveal that integrating multiple data sources such as performance metrics, employee engagement indicators, digital collaboration patterns, and employee experience measures significantly enhances the accuracy of turnover predictions compared to traditional descriptive approaches. Advanced techniques, including machine learning and multivariate analysis, enable organizations to uncover complex and non-linear relationships among workforce variables. Additionally, hybrid work environments introduce unique challenges, including digital fatigue, weakened interpersonal relationships, and blurred work-life boundaries, which contribute to higher turnover risks. These findings highlight the importance of adopting analytics-driven strategies to address emerging workforce dynamics.
Conclusions: In conclusion, human capital analytics serves as a powerful tool for predicting employee turnover and supporting proactive retention strategies. Its integration into HR practices enhances organizational agility, promotes data-driven decision-making, and strengthens long-term workforce sustainability in hybrid work settings.
References
Abdi, T., Wardi, J., & Ariyanto, A. (2025). Pengaruh Fleksibilitas Kerja Terhadap Kinerja Pegawai Manajemen Rsud Bengkalis Yang Dimediasi Kepuasan Kerja. Baseline: Jurnal Mahasiswa Magister Manajemen, 2(3), 377-383.
Agrameri, A., Yosepha, S. Y., & Cahaya, Y. F. (2025). Strategi peningkatan kompetensi dan produktivitas kerja dengan manajemen pelatihan untuk pengembangan karyawan. Reviu Akuntansi, Manajemen, dan Bisnis, 5(1), 77-92. https://doi.org/10.35912/rambis.v5i1.4711
Ahmad, A. (2018). The relationship among job characteristics organizational commitment and employee turnover intentions: A reciprocation perspective. Journal of Work-Applied Management, 10(1), 74-92. https://doi.org/10.1108/JWAM-09-2017-0027
Alyahra, F. L., & Fikri, M. (2025). Peran HR Analytics dalam Meningkatkan Pengambilan Keputusan Sumber Daya Manusia. JIMU: Jurnal Ilmiah Multidisipliner, 4(01).
Asimakopoulos, G., Antonopoulou, H., Giannoukou, I., Golfi, A., Sataraki, I., & Halkiopoulos, C. (2025). Virtual Collaboration and E-Democracy During the Pandemic Era: Insights on Digital Engagement, Infrastructure, and Social Dynamics. Information, 16(6), 492. https://doi.org/10.3390/info16060492
Biggane, J. E., Allen, D. G., Amis, J., Fugate, M., & Steinbauer, R. (2017). Cognitive appraisal as a mechanism linking negative organizational shocks and intentions to leave. Journal of Change Management, 17(3), 203-227. https://doi.org/10.1080/14697017.2016.1219379
Dewi, S. A. C. (2025). Pengaruh Job Embeddedness dan Pengembangan Karir terhadap Turnover Intention dengan Organizational Citizenship Behavior sebagai Variabel Mediasi (Studi pada Karyawan FKTP Jajaran Denkesyah 04.04. 03 Salatiga) (Doctoral dissertation).
Gea, L. E., Halawa, F., & Waruwu, E. (2025). Transformasi Digital dalam Praktik SDM: Peran HR Analytics dalam Meningkatkan Kinerja Organisasi. Jurnal Ekonomi (LIKUID), 1(03), 261-266.
Hanum, S. A., & Wijayanto, A. (2025). Peran Perceived Organizational Support dalam Hubungan Antara Work-Life Balance dan Kepuasan Kerja. Bookchapter Manajemen SDM, 1, 380-410. https://doi.org/10.15294/msdm.v1i1.339
Hossain, Q., Ikbal, M. Z., & Rahman, M. M. (2025). A meta data-driven decision support in human capital management: reviewing hris and predictive analytics integration. ASRC Procedia: Global Perspectives in Science and Scholarship, 1(01), 215-246. https://doi.org/10.63125/xgew7q22
Ishak, R. P., Budi, A., Anang Setiawan, S. M., Sabar, M. P., Lastari, A. W., SE, M., ... & Isnaini, M. P. (2025). Transformasi Manajemen Sumber Daya Manusia: Menyongsong Era Kinerja Hybrid dan Digital. PT. Nawala Gama Education.
Kamal, Z. A. (2025). Investigating The Moderating Role Of Job Embeddedness In The Relationship Between Job Stress, Job Satisfaction, And Turnover Intention (Doctoral dissertation, Universitas Muhammadiyah Surakarta).
Kumar, S., Malhotra, D., Sohbaty, Z., & Sultan, A. (2026). Impact of hybrid work models on job performance: a study through the lens of workplace flexibility and self-determination theories. International Journal of Organization Theory & Behavior, 1-21. https://doi.org/10.1108/IJOTB-07-2025-0215
Kusumawati, N. (2025). Pengaruh Work-life Balance dan Beban Kerja Berlebih terhadap Turnover Intention Dimediasi Oleh Kepuasan Kerja Pada Karyawan PT. Mandiri Agung Abadi (Doctoral dissertation, Universitas Islam Indonesia).
Maehendrayuga, A., & Setyanto, A. (2024). Analisa Prediksi Turnover Karyawan menggunakan Machine Learning. bit-Tech, 7(2), 648-659. https://doi.org/10.32877/bt.v7i2.1999
Majumder, S., & Kunte, M. (2022). A study of Employee Engagement Practices and its Impact on Team Effectiveness in the context of Virtual and collaborative Workplace. Cardiometry, (24), 802-814. https://doi.org/10.18137/cardiometry.2022.24.802814
Nasti, N., & Lubis, A. H. (2025). Manajemen Sumber Daya Manusia: Strategi, Proses dan Transformasi Dalam Organisasi Modern. Sumatera Barat: Serasi Media Teknologi.
Nugroho, S. H., & Gunawan, K. (2024). Kepuasan Kerja Karyawan di Rumah Sakit: Review Masalah dan Prospek di Era Digital. Rekayasa, 17(3), 501-507. https://doi.org/10.21107/rekayasa.v17i3.27912
Pradana, F. A., & Putri, V. W. (2025). Paradigma Baru Work From Anywhere: Strategi MSDM untuk Keseimbangan Hidup dan Kesehatan Mental Karyawan. Bookchapter Manajemen SDM, 1, 329-357. https://doi.org/10.15294/msdm.v1i1.324
Prayuda, R. Z., Praditya, R. A., & Purwanto, A. (2025). Penerapan Lingkungan Kerja dan Kepuasan Kerja Terhadap Kinerja Organisasi. PROFESOR: Professional Education Studies and Operations Research, 2(02), 10-19. https://doi.org/10.7777/vcg5xm67
Ratnaduhita, S. D., Aji, G. G., Sinulingga, R. A., & Dimisyqiyani, E. (2025). Peran Regulasi Emosi Dan Kepercayaan Dalam Kepemimpinan Virtual Pada Model Kerja Hybrid. Aliansi: Jurnal Manajemen dan Bisnis, 20(2), 281-288. https://doi.org/10.46975/9s57zw46
Ravesangar, K., & Narayanan, S. (2024). Adoption of HR analytics to enhance employee retention in the workplace: A review. Human Resources Management and Services, 6(3), 3481-3481. https://doi.org/10.18282/hrms.v6i3.3481
Rineliana, S. E., Ratnawita, S. E., Donny Dharmawan, M. M., Lasrida Sigalingging, S. E., Nicholas Simarmata, S., Fatkhuri, M. M., ... & Dyah Handayani Dewi, S. E. (2026). Strategi Sumber Daya Manusia di Era Disrupsi. Batam: Cendikia Mulia Mandiri.
Siburian, D. N., Meshani, G., Munthe, A. M., & Pradana, G. P. Y. (2026). Tinjauan Literatur Beban Kerja dan Kompetensi Karyawan dalam Perspektif Manajemen Sumber Daya Manusia. International Journal Of Social Issues and Multidisiplinary Studies, 2(1), 37-45.
Sumbogo, V. A. (2025). Peran Kepuasan Kerja Dalam Memediasi Pengaruh Perceived Organizational Support Terhadap Niat Untuk Bertahan Pada Pt Mondrian–Export Garment Factory Indonesia (Doctoral Dissertation, Universitas Atma Jaya Yogyakarta).
Suryawijaya, T., & Putri, A. A. (2025). Tantangan generasi sandwich: Kelelahan digital dan produktivitas dalam kerja virtual. Jurnal Pemuda Indonesia, 2(1). https://doi.org/10.65125/br0hht21
Zebua, M. H., Halawa, F., & Waruwu, E. (2025). Digital HR Practices/HR Analytics & Teknologi HR. Jurnal Ekonomi (LIKUID), 1(03), 114-121. https://doi.org/10.70404/likuid.v1i03.535
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Journal of Economic Trends and Management
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
