大数据驱动下跨境电商供应链韧性提升机制与路径研究

Research on Mechanisms and Pathways for Enhancing Supply Chain Resilience in Cross-Border E-Commerce Driven by Big Data

摘要: 在全球贸易数字化转型与不确定性风险叠加的背景下，跨境电商供应链韧性已成为制约电子商务网络零售国际化发展的瓶颈。本文依据供应链韧性理论与大数据驱动理论，探讨如何运用大数据技术增强跨境电商供应链的抗风险能力与恢复能力。研究表明，大数据通过构建智能预警、柔性调度、协同响应、持续优化这四大核心机制有效提升了跨境电商供应链在多重风险场景下的韧性水平。基于上述机制分析，本文设计了提升跨境电商供应链韧性的具体路径以进一步推动其高质量发展。

Abstract: Against the backdrop of digital transformation in global trade and the superposition of uncertainty risks, the resilience of cross-border e-commerce supply chains has emerged as a bottleneck constraining the internationalization of e-commerce online retail. Drawing on supply chain resilience theory and big data-driven theory, this study explores how big data technologies can be leveraged to strengthen the risk resistance and recovery capabilities of cross-border e-commerce supply chains. The research indicates that big data effectively enhances the resilience of cross-border e-commerce supply chains across multiple risk scenarios through the establishment of four core mechanisms: intelligent early warning, flexible scheduling, coordinated response, and continuous optimization. Building upon the analysis of these mechanisms, the study designs specific pathways to further elevate the resilience of cross-border e-commerce supply chains, thereby promoting their high-quality development.