Tarik Saikouk

Papers

Total Citations

337

H-Index

About

Dr. Tarik Saikouk is a leading scholar at the intersection of artificial intelligence and supply chain management, whose work is shaping the future of logistics and operations. His research primarily focuses on the application of AI, machine learning, and big data analytics to optimize supply chain processes, with a particular emphasis on sustainability and resilience. Dr. Saikouk’s most impactful contribution is his seminal 2021 paper, "Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions," which has garnered over 337 citations. This work provides a comprehensive mapping of the field, identifying key trends and charting a roadmap for future inquiry, and has become a foundational reference for researchers and practitioners alike. Beyond this, his portfolio explores digital transformation, decision-support systems, and the integration of emerging technologies in operations management. Dr. Saikouk’s research is distinguished by its rigorous bibliometric and systematic review methodologies, offering both a bird’s-eye view of the landscape and actionable insights. His work has been instrumental in bridging the gap between theoretical AI advancements and practical supply chain applications, making him a pivotal figure for students and researchers seeking to understand how intelligent systems can revolutionize logistics.