Driving Mechanisms and Implementation Paths of R&D Collaboration Networks for Technological Innovation in Cross-Border E-Commerce

在数字经济与全球价值链深度重构背景下，跨境电商面临规模扩张与创新滞后的结构性矛盾。本研究基于“结构–行为–绩效”框架，揭示研发合作网络驱动技术创新的双重机制：结构性赋能层面，网络中心性通过资源聚合加速技术迭代，结构洞则凭借信息控制、知识重组与风险抗逆能力优化创新协调；行为性传导层面，跨界搜寻的广度拓展规避技术轨道锁定，深度挖掘通过认知框架跃迁实现知识系统性重构。实现路径需企业–产业–制度三层次协同：企业层级采用差异化嵌入策略(由大型企业主导生态系统，中小企业则进行模块化专业化)，产业层级构建跨境知识生产共同体与模块化架构，制度层级建立数据分级传输机制与知识产权多边互认体系。研究成果为破解低端锁定困境、推动跨境电商向创新链主导模式转型提供理论范式与解法参考。Amidst the circumstances of profound restructuring of the digital economy and global value chains, cross-border e-commerce confronts structural tensions between scale expansion and innovation constraints. This study establishes a “Structure-Conduct-Performance” framework elucidating dual innovation-driving mechanisms: Structurally, network centrality accelerates technology iteration via resource aggregation while structural holes optimize coordination through information control, knowledge recombination and risk resilience; Behaviorally, boundary-spanning search breadth prevents technological lock-in whereas search depth enables systemic knowledge reconstruction via cognitive frame transitions. Implementation requires tri-level synergy: enterprise strategies feature differentiated embedding (ecosystem leadership by large firms/module specialization by SMEs), industrial solutions build cross-border knowledge communities with modular architectures, and institutional systems establish classified data flows with multilateral IPR recognition. This research provides theoretical and operational paradigms for overcoming low-end traps and advancing innovation-driven transformation.