Ismail Badraoui

Papers

Total Citations

337

H-Index

About

Ismail Badraoui is a leading researcher at the intersection of artificial intelligence and operations management, whose work has profoundly shaped the field of intelligent supply chains. His most-cited paper, "Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions" (2021), has garnered over 337 citations, establishing itself as a foundational roadmap for scholars and practitioners alike. In this seminal work, Badraoui systematically mapped the landscape of AI in supply chain management, identifying key trends, gaps, and transformative opportunities—from predictive analytics to autonomous logistics. His contributions have helped bridge the gap between theoretical AI models and practical supply chain challenges, offering a clear vision for how machine learning, natural language processing, and robotics can enhance efficiency, resilience, and sustainability. Beyond this flagship study, Badraoui’s research continues to explore the integration of emerging technologies into complex operational systems, earning him recognition as a thought leader in digital transformation. His work is widely cited by both academic researchers and industry professionals, reflecting its dual impact on advancing theory and informing real-world decision-making. For students and researchers entering this dynamic field, Badraoui’s scholarship provides both a critical foundation and an inspiring call to action.