My research interests center on international trade, supply chain optimization, operational efficiency, and enterprise systems integration. I am particularly focused on leveraging artificial intelligence and machine learning methodologies to address complex challenges within these domains. Specifically, I investigate how AI-driven analytics can enhance forecasting accuracy, optimize inventory management, and streamline cross-border logistics operations.

Additionally, I am exploring the transformative potential of distributed ledger technologies, particularly blockchain, in establishing transparency and traceability across supply networks. My work examines how these emerging technologies can mitigate information asymmetries, reduce transaction costs, and enhance trust mechanisms in multi-stakeholder business environments.

Ultimately, my research agenda seeks to bridge the gap between technological innovation and practical implementation, examining not only the technical feasibility of these solutions but also their organizational adoption dynamics and strategic value proposition across diverse industry contexts. I aim to contribute actionable insights that inform both academic discourse and managerial practice in an increasingly digitalized global economy.