An ITIL-Aligned Governance Automation Framework for Hybrid ERP Invoice Workflows: A Design Science Study

Faza, Ahmad (2026) An ITIL-Aligned Governance Automation Framework for Hybrid ERP Invoice Workflows: A Design Science Study. In: 2026 IEEE International Conference on Instrumentation, Networks, Future Sustainability, Information Theory, Transportation, and Systems (INFINITYS), 8-10 Juli 2026, Solo, Indonesia.

Text [AHMAD FAZA - SI] An ITIL-Aligned Governance Automation Framework for Hybrid ERP Invoice Workflows A Design Science Study.pdf Download (2MB)

Abstract

Enterprise Resource Planning (ERP) systems often encounter governance challenges during the post�implementation phase, particularly when critical activities such as invoice processing are performed through hybrid workflows outside the formal ERP environment. While prior research extensively covers ERP implementation success, the governance of hybrid workflows remains underexplored. This study employs a Design Science Research (DSR) approach, utilizing an ITIL V4–aligned qualitative case study within the mining industry to identify lifecycle control gaps in ERP-supported processes. The findings reveal that fragmented practices in manual computation and informal approvals weaken auditability and transparency. To address these issues, a governance-embedded automation framework is proposed, positioning ITIL V4 practices as an executable middleware layer rather than a mere advisory function. Prototype implementation using the Odoo platform demonstrates the technical feasibility of embedding structured computation and controlled approval routing without replacing existing ERP infrastructure. Exploratory evaluation indicates that the proposed architecture could potentially reduce the invoice processing cycle time by approximately 20%, enhancing overall task-technology fit and operational traceability

Item Type:	Conference or Workshop Item (Paper)
Creators:	Faza, Ahmad
Contributors:
Keywords:	ERP; ITIL V4; Hybrid Workflow; Invoice Automation; IT Governance; Mining Industry
Subjects:	000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming
Sustainable Development Goals:	Goal 12. Ensure sustainable consumption and production patterns Goal 08. Promote sustained, inclusive and sustainable economic growth, full and productive employment and work for all Goal 09. Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Divisions:	Faculty of Engineering & Informatics > Information System
Date Deposited:	06 Oct 2026 09:30
URI:	https://kc.umn.ac.id/id/eprint/49644

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