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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Smart contracts for compensation automation: Blockchain integration with workday

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  • Smart contracts for compensation automation: Blockchain integration with workday

Shraddha Verma *

University of North Carolina at Charlotte, USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(02), 1013-1021

Article DOI: 10.30574/wjarr.2025.26.2.1640

DOI url: https://doi.org/10.30574/wjarr.2025.26.2.1640

Received on 26 March 2025; revised on 05 May 2025; accepted on 08 May 2025

This article presents a comprehensive overview of smart contract implementation for automating compensation processes within Workday systems. It explores how blockchain-based smart contracts can transform human resources management by codifying compensation rules and policies into self-executing agreements. The integration enables organizations to automate performance-based bonuses, stock option vesting, and salary adjustments while ensuring transparency, accuracy, and compliance. Through detailed examination of technical requirements, integration architectures, and governance frameworks, the article demonstrates how these implementations deliver substantial benefits across operational efficiency, error reduction, and employee satisfaction. Both quantitative returns on investment and qualitative advantages like increased trust and fairness perception are addressed. The material offers practical insights for organizations considering smart contract adoption for modernizing compensation management. 

Blockchain; Smart Contracts; Compensation Automation; Workday Integration; Human Resource Management

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1640.pdf

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Shraddha Verma. Smart contracts for compensation automation: Blockchain integration with workday. World Journal of Advanced Research and Reviews, 2025, 26(2), 1013-1021. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.1640

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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