供应链
结构方程建模
业务
供应链管理
服务管理
产业组织
需求链
透视图(图形)
实证研究
知识管理
过程管理
营销
计算机科学
认识论
机器学习
哲学
人工智能
作者
Qingyun Yang,Suicheng Li,Jianqi Qiao
标识
DOI:10.1080/13675567.2023.2192913
摘要
Supply chain learning is a key factor influencing supply chain innovation performance, but the path between them is unclear. This research introduced a strategy-structure-capability-performance (SSCP) framework to explore the mechanism through which supply chain learning as a firm's strategy to improve supply chain innovation performance. Based on the questionnaire survey data of 303 Chinese machinery manufacturing firms, we established a structural equation model to verify our hypothesis. The results show that implementing a supply chain learning strategy is conducive to promoting the accumulation of social capital of supply chain partners to form dynamic supply chain capability, thereby improving supply chain innovation performance. This study will also provide theoretical extensions and empirical evidence for supply chain innovation management.
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