International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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Change Management and User Enablement for RISE with SAP Transformations: An Integrative Socio-Technical Governance Framework for Conversational ERP Environments

Authors: Gururaj Veershetty

DOI: https://doi.org/10.37082/IJIRMPS.v13.i2.233121

Short DOI: https://doi.org/

Country: United States

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Abstract: The rapid adoption of cloud-based enterprise resource planning (ERP) platforms, catalyzed by RISE with SAP, has fundamentally shifted digital transformation from technical migration toward a holistic operating model overhaul. While RISE enables infrastructure modernization and platform evolution, the concurrent emergence of Conversational ERP—the deployment of Generative AI assistants such as SAP Joule to mediate core business processes—introduces unprecedented challenges in governance, data integrity, and user behavior. Many organizations fail to realize transformation value due to a critical disconnect between autonomous AI capabilities and existing Organizational Change Management (OCM) protocols.
This paper proposes an Integrative Socio-Technical Governance Framework specifically designed for Conversational ERP environments within the RISE with SAP ecosystem. The model embeds OCM directly into the SAP Activate lifecycle, establishes rigorous control models for AI-mediated workflows, and addresses risks including process fragmentation, Shadow AI, and governance-AI gaps. A quantitative adoption metric—the Effective Adoption Rate (EAR)—is introduced to measure transformation health as a composite of AI efficiency, process compliance, and drift management. By treating change management as a core transformation capability, organizations can accelerate sustainable adoption of intelligent enterprise architectures.

Keywords: SAP S/4HANA, RISE with SAP, Organizational Change Management, Conversational ERP, Socio-Technical Governance, Clean Core Architecture, Generative AI Integration, Digital Adoption Platforms, ADKAR, Shadow AI


Paper Id: 233121

Published On: 2025-03-07

Published In: Volume 13, Issue 2, March-April 2025

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