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European Journal of Emerging Data Science and Machine Learning

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Fingerprint-Based Attendance Systems in Organizational Governance: A Comprehensive Theoretical, Methodological, and Empirical Examination

1 Department of Computer Science University of São Paulo, Brazil
2 Faculty of Engineering and Information Technology Université de Montréal, Canada

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Abstract

The management of employee attendance has long constituted a foundational concern within organizational administration, governance, and performance management. Across public and private institutions alike, attendance records function not merely as operational artifacts but as socio-technical instruments that mediate accountability, trust, discipline, productivity, and organizational culture. Traditional attendance mechanisms—ranging from manual registers to magnetic cards and password-based systems—have repeatedly demonstrated vulnerability to manipulation, inefficiency, and administrative burden. In response to these limitations, biometric technologies, particularly fingerprint-based attendance systems, have emerged as prominent solutions promising enhanced accuracy, integrity, and real-time monitoring. This research article undertakes an exhaustive and theoretically grounded examination of fingerprint-based attendance systems, situating them within broader discourses of biometric recognition, workplace governance, time consciousness, and employee performance.

Drawing strictly upon the provided scholarly references, this study synthesizes foundational biometric theory, historical developments in fingerprint technology, system design methodologies, and empirical findings related to organizational outcomes. The review foregrounds fingerprint-based attendance systems as socio-technical infrastructures rather than purely technical tools, emphasizing how their adoption reshapes power relations, perceptions of fairness, stress dynamics, and productivity within institutions. Particular analytical attention is devoted to the technological principles underlying fingerprint recognition, the architectural design of attendance systems, implementation challenges in institutional contexts, and the ethical and human resource implications of biometric surveillance.

Methodologically, the article adopts an interpretive and integrative research design, employing descriptive analytical synthesis to extract patterns, convergences, and tensions across the literature. Rather than reducing findings to summary claims, the study elaborates each conceptual and empirical dimension through extensive theoretical discussion, scholarly debate, and contextual interpretation. The results section presents a nuanced interpretation of reported system performance, administrative efficiency, and behavioral outcomes, while the discussion engages deeply with competing perspectives on control, flexibility, stress, and productivity in biometric-enabled workplaces.

Ultimately, this article contributes a comprehensive, publication-ready academic treatment of fingerprint-based attendance systems, offering conceptual clarity, critical depth, and future research directions. It positions biometric attendance not as a neutral technological upgrade but as a transformative organizational intervention whose implications extend across technical, managerial, ethical, and human dimensions.


Keywords

Fingerprint biometrics, attendance management, biometric systems, organizational governance

References

1. Jain, A. K., Ross, A., & Prabhakar, S. (2004). An introduction to biometric recognition. IEEE Transactions on Circuits and Systems for Video Technology, 14(1), 4–20.

2. San Pedro, A. (2018). The use of biometric attendance recording system (BARS) and its impact on the work performance of Cabanatuan City government employee.

3. Cayen, J. D. (2010). U.S. Patent No. 7,826,645. Washington, DC: U.S. Patent and Trademark Office.

4. Park, S., & Lee, J. (2019). Work schedule flexibility and employee stress: Evidence from the public sector. International Journal of Human Resource Management, 30(7), 889–902.

5. Walia, H., & Jain, N. (2016). Fingerprint based attendance systems: A review. International Research Journal of Engineering and Technology, 3(5), 1166–1171.

6. Rivera, R., Asis, M., & Bangayan, O. (2022). Timekeeping and immediate monitoring of employees by consistently advocating time consciousness and honesty using enhanced attendance.

7. Ramotowski, R. (Ed.). (2012). Lee and Gaensslen’s advances in fingerprint technology. CRC Press.

8. Adewole, K. S., Abdulsalam, S. O., Babatunde, R. S., Shittu, T. M., & Oloyede, M. O. (2014). Development of fingerprint biometric attendance system for non-academic staff in a tertiary institution. Development, 5(2), 62–70.

9. Saraswat, C., & Kumar, A. (2010). An efficient automatic attendance system using fingerprint verification technique. International Journal on Computer Science and Engineering, 2(02), 264–269.

10. Richter, B., & Brown, S. (2019). The impact of flexible work arrangements on work productivity and individual performance: Evidence from federal employees. Public Administration Review.


How to Cite

Fingerprint-Based Attendance Systems in Organizational Governance: A Comprehensive Theoretical, Methodological, and Empirical Examination. (2025). European Journal of Emerging Data Science and Machine Learning, 2(01), 13-18. https://www.parthenonfrontiers.com/index.php/ejedsml/article/view/402

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