Shaping the Future of Logistics: Data-driven Technology Approaches and Strategic Management
Hoa Tran‐Dang, Jae-Woo Kim, Jae‐Min Lee, Dong‐Seong Kim
Abstract
Logistics operations today face inefficiencies and sustainability challenges across economic, environmental, and social dimensions. Mega-trends such as globalization, urbanization, customization, and natural resource scarcity further exacerbate these challenges. While Industry 4.0 offers data-driven technological solutions, there is a critical need for complementary managerial strategies to ensure efficient and sustainable logistics performance. This paper aims to present a comprehensive framework that integrates technology adoption with strategic management to address these challenges. Through a firm performance based analysis, the framework demonstrates its applicability in solving key logistics issues, improving supply chain efficiency, and shaping the future of logistics systems. The findings highlight how combining advanced data-driven approaches with managerial planning can significantly enhance logistics operations, paving the way for a more sustainable and adaptive logistics model.