Papers
1
Total Citations
4
H-Index
1
About
Dr. M Khan is a pioneering researcher at the intersection of artificial intelligence, enterprise systems, and sustainable industrial automation. Their work focuses on developing theoretical frameworks for integrating AI into Enterprise Resource Planning (ERP) systems, particularly for fully autonomous "dark factories" where human intervention is minimal. Khan's most cited paper, "A Conceptual Framework for Sustainable AI-ERP Integration in Dark Factories" (2025, 4 citations), synthesises the Technology-Organisation-Environment (TOE) framework, Technology Acceptance Model (TAM), and Information Systems Success Model to address the unique challenges of self-operating industrial environments. This work provides a foundational blueprint for how AI can optimise resource allocation, reduce waste, and enhance decision-making in lights-out manufacturing settings. While early in their career, Khan's contributions are already shaping discussions on sustainable automation, offering both practitioners and academics a structured approach to implementing AI-driven ERP systems that balance operational efficiency with environmental responsibility. Their research holds significant promise for advancing Industry 4.0 and 5.0 paradigms.
Research Focus
Key Achievements
Top Papers
- 1