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SAP HCM time management and payroll integration: streamlining payroll processing

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  • SAP HCM time management and payroll integration: streamlining payroll processing

Vijayaratnam Sirangula *

Dataedge consulting Inc, USA.

Review Article

International Journal of Science and Research Archive, 2025, 14(01), 1107-1115

Article DOI: 10.30574/ijsra.2025.14.1.0150

DOI url: https://doi.org/10.30574/ijsra.2025.14.1.0150

Received on 08 December 2024; revised on 16 January 2025; accepted on 19 January 2025

The integration of SAP HCM Time Management and Payroll systems has revolutionized workforce management by streamlining operations and enhancing organizational efficiency. This comprehensive examination explores how these integrated systems transform payroll processing through automated calculations, quality assurance mechanisms, and specialized case handling. The implementation benefits span across various sectors, particularly in manufacturing and healthcare, where complex scheduling and compliance requirements demand sophisticated solutions. Modern organizations leveraging cloud-based technologies and artificial intelligence have experienced significant improvements in processing accuracy, regulatory compliance, and cost efficiency. The integration framework demonstrates remarkable capabilities in handling diverse payroll scenarios, from basic time tracking to complex shift differentials and leave management. The emergence of predictive analytics and machine learning further enhances these systems' ability to detect anomalies, prevent fraud, and optimize workforce planning, setting new standards for payroll automation and workforce management.

Payroll Integration; Time Management Automation; Workforce Optimization; Cloud Technology; Regulatory Compliance

https://journalijsra.com/sites/default/files/fulltext_pdf/IJSRA-2025-0150.pdf

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Vijayaratnam Sirangula. SAP HCM time management and payroll integration: streamlining payroll processing. International Journal of Science and Research Archive, 2025, 14(01), 1107-1115. Article DOI: https://doi.org/10.30574/ijsra.2025.14.1.0150.
 

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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