A. Mozumder
Papers
1
Total Citations
4
H-Index
1
About
Dr. A. Mozumder is a pioneering researcher at the intersection of artificial intelligence, enterprise systems, and sustainable industrial automation. Their primary research areas include AI-ERP integration, technology adoption models, and the conceptual design of autonomous manufacturing environments. Dr. Mozumder's most notable contribution is the development of a comprehensive conceptual framework that synthesises the Technology-Organisation-Environment (TOE) model, the Technology Acceptance Model (TAM), and the Information Systems (IS) Success Model to guide the implementation of sustainable AI-driven ERP systems in dark factories. This seminal work, published in 2025 and already garnering 4 citations, provides a critical roadmap for transforming fully automated, human-free industrial operations into intelligent, self-optimising ecosystems. By bridging theoretical models with practical deployment strategies, Dr. Mozumder has laid foundational groundwork for future empirical studies in Industry 5.0 and sustainable smart manufacturing. Their research is particularly valuable for scholars and practitioners seeking to understand how AI can enhance resource efficiency, operational resilience, and decision-making autonomy in next-generation factories.
Research Focus
Key Achievements
Top Papers
- 1