From ERP to Ethereum: Process Mining Reimagined

Authors

https://doi.org/10.48314/apem.v2i1.24

Abstract

Integrating blockchain technology with process mining has emerged as a promising approach to enhance data transparency, security, and integrity in organizational operations. This study compares traditional and blockchain-based process mining methods through a case study in the food supply chain sector. Employing the design science research methodology, we developed and implemented a smart contract on the ethereum platform to automate the goods requisition process. Event logs were collected from a traditional Enterprise Resource Planning (ERP) system and the blockchain environment for comparative analysis. The results demonstrated a higher conformance rate between the blockchain-based process model and the theoretical baseline (85%) than the traditional approach (74%). These findings suggest that blockchain's inherent features-immutability, decentralization, and auditability-significantly improve process accuracy and data reliability. This work contributes to the growing field of blockchain-enabled business process management and highlights its potential to transform data-driven decision-making in complex supply chain networks.

Keywords:

Process mining, Blockchain, Smart contract, Food supply chain, Design science research

References

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Published

2025-02-27

Issue

Vol. 2 No. 1 (2025): Annals of Process Engineering and Management

Section

Articles

How to Cite

From ERP to Ethereum: Process Mining Reimagined. (2025). Annals of Process Engineering and Management, 2(1), 25-35. https://doi.org/10.48314/apem.v2i1.24

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