https://jhrmfs1.khu.ac.ir/ Future Studies in Human Resource Management en daily 1 Mon, 08 Jun 2026 00:00:00 +0330 Mon, 08 Jun 2026 00:00:00 +0330 https://jhrmfs1.khu.ac.ir/article_6242.html Digital transformation in human resource management has accelerated adoption of biometric technologies in manufacturing organizations. This study investigates the effect of a smart biometric attendance system on employee performance, work autonomy, and privacy in a large Iranian manufacturing company (Saipa Automotive Parts Manufacturing Co., Tehran). The study adopts a future-oriented HRM perspective, examining technology-mediated performance outcomes. Methodology:The research is applied in purpose and uses a descriptive-correlational design with quantitative data. The statistical population comprised 780 employees of the production and operations divisions. A sample of 258 was drawn via stratified random sampling. Data were collected through a validated questionnaire and analyzed using PLS-SEM (SmartPLS 4.0) and SPSS 27. Findings: The biometric system significantly impacts: work quantity (β=0.738, t=25.91), work quality (β=0.672, t=16.84), punctuality (β=0.614, t=15.02), attendance (β=0.603, t=14.11), privacy perception (β=0.571, t=13.45), and work autonomy (β=0.543, t=10.12). All hypotheses were confirmed at the 95% confidence level. The model GOF index was 0.47. Conclusion: Smart biometric systems, when implemented with transparency and participatory design, function as strategic HR levers that enhance performance, protect privacy, and promote employee autonomy. Future-oriented HRM should integrate biometric data with broader digital HR ecosystems for evidence-based people management.