Kayode I. Adenuga

Papers

Total Citations

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About

Kayode I. Adenuga is a forward-thinking researcher at the intersection of artificial intelligence, data analytics, and supply chain management. His work focuses on revolutionizing how organizations make strategic decisions by integrating machine learning and big data into logistics and operations frameworks. In his highly cited 2023 paper, "Supply Chain Decision-Making Using Artificial Intelligence and Data Analytics," Adenuga explores how AI-driven models can enhance forecasting, inventory optimization, and risk mitigation in complex supply networks. This contribution has already garnered attention, with 3 citations in a short time, signaling its growing influence among scholars and practitioners alike. Adenuga’s research stands out for its practical orientation, bridging theoretical AI advances with real-world supply chain challenges. He is recognized for his ability to synthesize technical depth with actionable insights, making his work valuable for both academic audiences and industry professionals. As supply chains increasingly rely on digital transformation, Adenuga’s contributions position him as an emerging voice in the field, with potential for significant future impact on how data-driven decisions reshape global logistics.