Data-Driven Synergy and Digital Transformation Pathways in Cross-Border E-Commerce Supply Chains

Abstract

The rapid evolution of the digital economy has positioned cross-border e-commerce as a pivotal driver of global trade, yet traditional supply chains within this domain frequently encounter deep-seated bottlenecks, such as acute information asymmetry and prolonged lead times. Drawing upon the Resource-Based View and Dynamic Capabilities Theory, this study explores the complex mechanism through which Big Data Analytics fosters supply chain collaboration and delineates the multi-stage digital transformation pathways for CBEC enterprises. By analyzing the structural friction among cross-border participants including suppliers, logistics providers, and regulatory authorities, we identify pervasive data silos as a primary constraint on collaborative efficiency. Our findings suggest that while data-driven integration significantly enhances demand forecasting accuracy and inventory flexibility, the actual transformation process remains non-linear and is highly contingent upon organizational adaptability and cross-border regulatory compliance. Ultimately, this paper conceptualizes a three-tiered evolutionary pathway, offering both theoretical frameworks for understanding data-driven ecosystems and pragmatic blueprints for enterprises navigating digital disruptions. However, considering the shifting geopolitical landscapes and data sovereignty laws, further research is needed to validate these pathways across diverse regional corridors.