Streamlining enterprise resource planning through digital technologies
Woodstock, Maryland, USA.
Review
World Journal of Advanced Engineering Technology and Sciences, 2024, 12(02), 719–725.
Article DOI: 10.30574/wjaets.2024.12.2.0334
Publication history:
Received on 26 June 2024; revised on 08 August 2024; accepted on 10 August 2024
Abstract:
This study explores dynamic adaptation and evolutionary frameworks within Enterprise Resource Planning (ERP) systems, presenting an advanced strategy to enhance system agility and responsiveness. It investigates how these frameworks empower ERP systems to adjust to evolving business requirements, technological advancements, and market dynamics. The discussion covers key elements such as adaptive algorithms, evolutionary architectures, and real-time integration. Case studies illustrate how dynamic adaptation improves ERP system scalability, performance, and user satisfaction. The study also addresses challenges including integration complexity, data interoperability, and organizational change management, offering strategies to mitigate these issues. Future research recommendations emphasize the advancement of dynamic ERP frameworks, the integration of AI and machine learning, and the enhancement of agility in enterprise software systems. This research underscores the potential of dynamic adaptation and evolutionary approaches to future-proof ERP systems and promote sustainable business growth in dynamic environments.
Keywords:
Enterprise Resource Planning System; SAP; Enterprise operations; AI (Artificial Intelligence); Blockchain; IoT
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0