A Hybrid Methodology for SAP Implementations: Blending ASAP with Agile Principles for Enhanced Flexibility and Stakeholder Engagement

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Authors: Harsh Jigneshkumar Patel
Cited by: 0
References: 3

Abstract

SAP ERP implementations do deliver a corporate transformation foundation initiative, but substantial overruns on their costs and schedules are a standard problematic experience due to so many dimensions of their inherent complexities and chronic misalignment of fixed requirements with evolving business environments. Originally, Accelerated SAP (ASAP) would provide strong governance through its sequential roadmap. When we think about creating software, the Agile Software Development Process is the best way to do so. It’s similar to the Waterfall model. In this fast-paced life and rapid development, the required capabilities often change. Late user involvement increases the risk, while the developer has already developed a product without knowing the user's actual needs. Methodological weaknesses that Hybrid ASAP-Agile is informally used to overcome will be formalized herein. Therefore, it structurally embeds what governance by prediction seems necessary from the planning phases (Project Preparation, Final) into adaptive, iterative delivery of Agile sprints (Realization). This synthesis fundamentally redefines core activities such as requirements engineering (moving to Lean Blueprint via prioritized user stories) and feedback loops (continuous Sprint Demos). Analysis shows that it increases project flexibility. It speeds up time-to-value by delivering the most important functionality first and also increases stakeholder satisfaction because of continuous involvement and increased transparency which makes the delivery of the project inherently aligned with core business value creation.

Fields of Study & Subjects

ERP Systems Implementation and Impact Software Engineering Techniques and Practices Information Technology Governance and Strategy

Publication details

Journal / source
IEEE International Conference on AI in Cybersecurity (ICAIC)
Pages
1–6
Publication date
18 February 2026
Language
EN