The Implementation of People Analytics to Enhance Employee Well-Being in the Era of Hybrid Work
DOI:
https://doi.org/10.51903/sga0a995Keywords:
People Analytics, Employee Well-Being, Hybrid Work, Employee Engagement, Data EthicsAbstract
The digital transformation and the adoption of hybrid workplaces in the wake of the pandemic have reshaped the workplace landscape and, at the same time, posed new threats to employees' well-being, including digital stress, emotional burnout, and reduced social interaction. In this scenario, People Analytics is a vital, data-driven, and real-time method for recognizing employee behavior, participation, and well-being. The present research aims to examine the effect of People Analytics adoption on employee well-being in the hybrid work era, with employee engagement as a mediator and data ethics as a moderator. A quantitative explanatory approach is taken for the study, and 400 participants from the service and technology sectors in Indonesia are involved. The data is analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) to reveal relationships among variables. The results show that People Analytics has a positive and significant effect on employee well-being (β = 0.527; p < 0.001). Employee engagement partially mediates this relationship, and data ethics further strengthens it. The uniqueness of this study lies in the creation of the People Analytics for Well-being (PAW) Framework, which integrates well-being, engagement, and data ethics dimensions within human resource analytics systems. This study theoretically broadens the discussion of Human Resource Analytics and, in practice, offers ethical guidelines for organizations to balance productivity and employee well-being in the hybrid work era.
References
Corbeanu, A., Iliescu, D., Ion, A., & Spînu, R. (2023). The Link Between Burnout and Job Performance: A Meta-Analysis. European Journal of Work and Organizational Psychology, 32(4), 599–616. https://doi.org/10.1080/1359432x.2023.2209320
Belizón, M. J., Majarín, D., & Aguado, D. (2024). Human Resources Analytics in Practice: A Knowledge Discovery Process. European Management Review, 21(3), 659–677. https://doi.org/10.1111/emre.12605
Bhoir, M., & Sinha, V. (2024). Employee Well ‑ Being Human Resource Practices: A Systematic Literature Review and Directions for Future Research. Future Business Journal, 10(1), 1–18. https://doi.org/10.1186/s43093-024-00382-w
Bloom et al. (2024). Hybrid Working from Home Improves Retention without Damaging Performance. Nature, 630, 920–925. https://doi.org/10.1038/s41586-024-07500-2
Cho, W., Choi, S., & Choi, H. (2023). Human Resources Analytics for Public Personnel Management: Concepts, Cases, and Caveats. Administrative Sciences, 13(2), 41. https://doi.org/10.3390/admsci13020041
Deloitte Human Capital Trends. (2023). New Fundamentals for a Boundaryless World. Deloitte. https://www2.deloitte.com/us/en/insights/topics/talent/human-capital-trends/2023/future-of-workforce-management.html
Ebert, I., Wildhaber, I., & Adams-Prassl, J. (2021). Big Data in the Workplace: Privacy Due Diligence as a Human Rights-Based Approach to Employee Privacy Protection. Big Data and Society, 8(1), 1–14. https://doi.org/10.1177/20539517211013051
Egami, N., & Hartman, E. (2023). Elements of External Validity: Framework, Design, and Analysis. American Political Science Review, 117(3), 1070–1088. https://doi.org/10.1017/s0003055422000880
Elias, A., Sanders, K., & Hu, J. (2023). The Link Between Sustainable Human Resource Practices and Employee Outcomes: An HR Process Lens. Sustainability, 15(13), 10124. https://doi.org/10.3390/su151310124
Eng, I., Tjernberg, M., & Champoux-Larsson, M.-F. (2024). Hybrid Workers Describe Aspects That Promote Effectiveness, Work Engagement, Work-Life Balance, and Health. Cogent Psychology, 11(1), 2362535. https://doi.org/10.1080/23311908.2024.2362535
Fadzlina Abdul Aziz, A., & Ong, T. (2024). Prevalence and Associated Factors of Burnout Among Working Adults in Southeast Asia: Results From a Public Health Assessment. Frontiers in Public Health, 12, 1326227. https://doi.org/10.3389/fpubh.2024.1326227
Giermindl et al. (2022). The Dark Sides of People Analytics: Reviewing the Perils for Organisations and Employees. European Journal of Information Systems, 31(3), 410–435. https://doi.org/10.1080/0960085X.2021.1927213
Glavin, P., Bierman, A., & Schieman, S. (2024). Private Eyes, They See Your Every Move: Workplace Surveillance and Worker Well Being. Social Currents, 11(4), 327–345. https://doi.org/10.1177/23294965241228874
Ismail, H., Aldahash, F., Mutaz, M., & Al Zu’bi, Z. (2022). Public Wellbeing Analytics Framework Using Social Media Chatter Data. Social Network Analysis and Mining, 12(1), 1–17. https://doi.org/10.1007/s13278 022 00987 5
Heng Zhang et al. (2023). Passive Social Sensing with Smartphones: A Systematic Review. Computing, 105(1), 29–51. https://doi.org/10.1007/s00607-022-01112-2
Meijerink, J., Boons, M., Keegan, A., & Marler, J. (2021). Algorithmic Human Resource Management: Synthesizing Developments and Cross Disciplinary Insights on Digital HRM. The International Journal of Human Resource Management, 32(12), 2545–2562. https://doi.org/10.1080/09585192.2021.1925326
McKinsey & Company. (2023). The State of Organizations 2023: Ten Shifts Transforming Organizations. McKinsey & Company. https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/the-state-of-organizations-2023
Migunani, M., Muthohir, M., & Setiawan, D. (2022). Virtual Synchronous Generator-Based Oversight and Predictive Models for Mars. Journal of Technology Informatics and Engineering, 1(3), 01–17. https://doi.org/10.51903/jtie.v1i3.146
Mühlhoff, R., & Ruschemeier, H. (2024). Predictive Analytics and the Collective Dimensions of Data Protection. Law, Innovation and Technology, 16(1), 261–292. https://doi.org/10.1080/17579961.2024.2313794
Prima et al. (2024). Technological Forecasting & Social Change Help Me Help You: How HR Analytics Forecasts Foster Organizational Creativity. Technological Forecasting & Social Change, 206, 123540. https://doi.org/10.1016/j.techfore.2024.123540
Purnama, K. D., & Manalu, G. (2024). Evolution and Challenges of Customer Relationship Management (CRM) Implementation in the Digital Economy: A Systematic Review. Journal of Management and Informatics, 3(1), 71–86. https://doi.org/10.51903/jmi.v3i1.40
Sakib et al. (2024). How HR Analytics Evolved Over Time: A Bibliometric Analysis on Scopus Database. Future Business Journal, 10(1), 1–22. https://doi.org/10.1186/s43093-024-00375-9
Sarkar, S., Menon, V., Padhy, S., & Kathiresan, P. (2024). Mental Health and Well Being at the Workplace. Indian Journal of Psychiatry, 66(2), S353–S364. https://doi.org/10.4103/indianjpsychiatry.indianjpsychiatry_608_23
Sorgente et al. (2022). The Use of the Intensive Longitudinal Methods to Study Financial Well ‑ Being : A Scoping Review and Future Research Agenda. Journal of Happiness Studies, 23(1), 333–358. https://doi.org/10.1007/s10902-021-00381-6
Straus, E., Uhlig, L., Kühnel, J., & Korunka, C. (2023). Remote Workers’ Well Being, Perceived Productivity, and Engagement: Which Resources Should HRM Improve During COVID 19? A Longitudinal Diary Study. The International Journal of Human Resource Management, 34(15), 2960–2990. https://doi.org/10.1080/09585192.2022.2075235
Suryaningsih, D., Inayati, T., & Suryanto, A. (2023). Pengaruh Likuiditas dan Profitabilitas terhadap Nilai Perusahaan dengan Struktur Modal sebagai Variabel Intervening pada Perusahaan Transportasi yang Terdaftar di Bursa Efek Indonesia (Studi Kasus Sebelum dan Saat Covid 19). Kompak: Jurnal Ilmiah Komputerisasi Akuntansi, 16(2), 433–440. https://doi.org/10.51903/kompak.v16i2.1275
Vartiainen, M., & Vanharanta, O. (2024). True Nature of Hybrid Work. Frontiers in Organizational Psychology, 2, 1448894. https://doi.org/10.3389/forgp.2024.1448894
Yoon, S. W., Han, C. S. H., & Chae, C. (2023). People Analytics and Human Resource Development – Research Landscape and Future Needs Based on Bibliometrics and Scoping Review. Human Resource Development Review, 23(1), 30–57. https://doi.org/10.1177/15344843231209362
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Putra Mahendra, Rizky Amelia
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
.png)
