Samer Hamadneh

Papers

Total Citations

232

H-Index

About

Samer Hamadneh is a leading researcher at the intersection of emerging technologies and operational efficiency, with a primary focus on the adoption of autonomous systems and artificial intelligence in supply chain and logistics. His most influential contribution is a conceptual model for integrating autonomous robots into logistics networks, a framework that has garnered over 230 citations since its 2022 publication. This work provides a critical roadmap for understanding how businesses can transition toward intelligent, robot-driven operations in an era where the International Federation of Robotics has noted unprecedented momentum in the field. Hamadneh’s research is foundational for practitioners and scholars alike, offering both theoretical grounding and practical insights for navigating the complexities of automation adoption. More recently, he has explored the application of AI in sales management, developing an automated system that leverages machine learning to streamline decision-making processes. While this 2024 work is still emerging, it signals his ongoing commitment to advancing intelligent systems across business functions. Hamadneh’s contributions are particularly valuable for students and researchers interested in the human, organizational, and technological factors that drive successful implementation of autonomous technologies in real-world settings.