Mohamed Dawood Shamout

Papers

Total Citations

230

H-Index

About

Mohamed Dawood Shamout is a leading researcher at the intersection of supply chain innovation, logistics technology, and autonomous systems. His work focuses on understanding how emerging technologies—particularly autonomous robots—are reshaping industrial operations and organizational adoption behaviors. Shamout’s most influential contribution is his widely cited conceptual model for the adoption of autonomous robots in the supply chain and logistics industry, which has garnered over 230 citations and serves as a foundational framework for scholars and practitioners navigating the transition toward intelligent automation. By synthesizing technological, organizational, and environmental factors, his research provides critical insights into the drivers and barriers of robotic integration in real-world logistics settings. Shamout’s work is particularly notable for its forward-looking perspective, anticipating the transformative impact of intelligent systems on future business environments. His scholarship bridges engineering, management, and behavioral science, making it essential reading for students and researchers interested in the human and systemic dimensions of Industry 4.0. Through his rigorous modeling and practical relevance, Shamout continues to shape the discourse on how autonomous technologies can be effectively deployed in complex supply chain networks.