Digital HR Analytics Capability and Talent Retention: The Mediating Role of Employee Trust in Technology in the Cellular Phone Industry

Authors

  • Elvie Maria Universitas IBBI, Medan, Indonesia
  • Mulia Sosiady Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia
  • Kamaruddin Kamaruddin Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia
  • Poniah Juliawati Politeknik LP3I Bandung, Bandung, Indonesia
  • Peni Cahyati Poltekkes Kemenkes Tasikmalaya, Tasikmalaya, Indonesia

DOI:

https://doi.org/10.38035/dijemss.v7i6.6347

Keywords:

Digital HR Analytics Capability, Employee Trust In Technology, Talent Retention, Cellular Phone Industry, Strategic HRM

Abstract

The cellular phone industry is characterized by rapid technological innovation, intense competition, and continuous digital transformation. In early 2026, the global smartphone market was dominated by flagship models such as the Apple iPhone 17, Samsung Galaxy S25 Ultra, and Google Pixel 10, while premium performance devices including the OnePlus 15 and Samsung Galaxy Z Fold 7 led in advanced technological capability. In the mid-range and entry-level segments, devices such as Redmi 15C, TECNO Spark 40 Pro+, and Samsung Galaxy A07 gained significant market attention. This dynamic environment requires organizations within the cellular phone industry to strengthen digital human resource strategies to retain high-performing talent. This study examines the effect of Digital HR Analytics Capability on Talent Retention, with Employee Trust in Technology positioned as a mediating variable. This research adopts a quantitative explanatory design using a survey of employees working in companies engaged in the development, production, and distribution of leading smartphone brands in early 2026. Structural Equation Modeling (SEM) was employed to test the direct and indirect relationships among Digital HR Analytics Capability, Employee Trust in Technology, and Talent Retention. The findings indicate that Digital HR Analytics Capability has a positive and significant effect on Employee Trust in Technology. Employee Trust in Technology significantly influences Talent Retention, and Digital HR Analytics Capability also directly affects Talent Retention. Furthermore, Employee Trust in Technology partially mediates the relationship between Digital HR Analytics Capability and Talent Retention. These results suggest that data-driven HR decision-making systems, predictive workforce analytics, and transparent digital performance management enhance employee confidence in technological systems, which in turn strengthens retention intentions. This study contributes to strategic human resource management literature by extending digital capability frameworks into high-technology manufacturing industries. Practically, the findings highlight that companies in the cellular phone industry must not only invest in advanced HR analytics systems but also build employee trust in digital technologies to sustain competitive human capital advantages.

References

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

Barnes, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2019). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage Publications.

Li, H., Gupta, A., Zhang, J., & Sarathy, R. (2021). Examining the decision to use standalone personal health record systems as a trust-enabled fair social contract. Decision Support Systems, 150, 113629. https://doi.org/10.1016/j.dss.2021.113629

Marler, J. H., & Boudreau, J. W. (2017). An evidence-based review of HR analytics. The International Journal of Human Resource Management, 28(1), 3–26. https://doi.org/10.1080/09585192.2016.1244699

Shin, J., Taylor, M. S., & Seo, M.-G. (2020). Resources for change: The relationships of organizational inducements and psychological resilience to employees’ attitudes and behaviors toward organizational change. Academy of Management Journal, 63(3), 727–748. https://doi.org/10.5465/amj.2016.1289

Tarafdar, M., Cooper, C. L., & Stich, J.-F. (2021). The technostress trifecta—Techno eustress, techno distress and design: Theoretical directions and an agenda for research. Information Systems Journal, 31(1), 6–42. https://doi.org/10.1111/isj.12294

Vial, G. (2021). Understanding digital transformation: A review and a research agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022

Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022

Wang, Y., Kung, L., & Byrd, T. A. (2020). Big data analytics: Understanding its capabilities and potential benefits for organizations. Technological Forecasting and Social Change, 126, 3–13. https://doi.org/10.1016/j.techfore.2015.12.019

Downloads

Published

2026-08-04

How to Cite

Maria, E., Sosiady, M., Kamaruddin, K., Juliawati, P., & Cahyati, P. (2026). Digital HR Analytics Capability and Talent Retention: The Mediating Role of Employee Trust in Technology in the Cellular Phone Industry. Dinasti International Journal of Education Management and Social Science, 7(6), 4926–4934. https://doi.org/10.38035/dijemss.v7i6.6347

Most read articles by the same author(s)