Document Type
Article
Publication Date
2024
Keywords
Enterprise Resource Planning, Permissioned Blockchain, Auditability, Compliance, Smart Contracts, Distributed Ledger, Data Integrity
Digital Object Identifier (DOI)
https://doi.org/10.22178/acta.25.3.16
Abstract
Enterprise Resource Planning systems serve as the backbone of modern organizational operations, yet their centralized architecture creates significant challenges for auditability and regulatory compliance. This research proposes a permissioned blockchain framework to enhance ERP auditability by creating immutable, transparent, and traceable records of all system transactions and modifications. The study addresses critical gaps in current ERP systems where transaction histories can be altered, audit trails prove insufficient, and compliance verification remains cumbersome. Through examination of existing ERP limitations and blockchain capabilities, we develop an integrated architecture that maintains operational efficiency while providing cryptographic assurance of data integrity. Our framework employs smart contracts to automate compliance checks, distributed ledgers to ensure tamper-proof audit trails, and role-based permissions to maintain enterprise control. Evaluation demonstrates that permissioned blockchain integration reduces audit preparation time by 65%, enhances regulatory compliance confidence, and provides real-time visibility into transaction authenticity. This research contributes both to academic understanding of blockchain applications in enterprise systems and practical guidance for organizations seeking to strengthen their ERP governance frameworks.
Rights Information
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Acta Scientiae, v. 25, issue 3, p. 122-137
Scholar Commons Citation
Inakollu, Manikantha Varaprasad, "Enhancing ERP Auditability and Compliance Using Permissioned Blockchain, A Framework for Transparent and Immutable Enterprise Resource Planning Systems." (2024). Computer Science and Engineering Faculty Publications. 162.
https://digitalcommons.usf.edu/esb_facpub/162
Included in
Computational Engineering Commons, Computer and Systems Architecture Commons, Data Storage Systems Commons, Other Computer Engineering Commons
