Authors: Manoj Parasa
Abstract: Enterprise time and attendance tracking systems have historically relied on manual inputs and fragmented technologies, creating vulnerabilities in compliance, payroll accuracy, and employee trust. This paper investigates the integration of biometric Internet of Things (IoT) devices—including fingerprint scanners, RFID terminals, and facial recognition sensors—into SAP SuccessFactors Time Management using SAP Cloud Platform Integration (CPI). A mixed-methods methodology is applied, encompassing middleware simulation, data flow prototyping, and three real-world case studies across manufacturing, logistics, and healthcare. Quantitative results reveal a 27% improvement in attendance data accuracy and a 32% reduction in payroll discrepancies. Compliance audit readiness improved by 50% following integration. Drawing from interdisciplinary literature in IoT middleware, biometric security, and enterprise HRIS architecture, this study provides a scalable and secure blueprint for intelligent workforce time tracking.
DOI: https://doi.org/10.5281/zenodo.15718647
