业务
供应链
公司治理
产业组织
钥匙(锁)
供应链管理
政府(语言学)
弹性(材料科学)
供应链风险管理
过程管理
国家(计算机科学)
风险分析(工程)
风险管理
转化(遗传学)
产业政策
服务管理
顺从(心理学)
运营管理
管理制度
心理弹性
标识
DOI:10.1177/10591478261461409
摘要
This Part II paper analyzes the industrial transformation and policy governance of Operations and Supply Chain Management in China. Chinese supply chains are changing fast. The system is shifting from labor-based cost advantages to technology-driven value. Key markers include high-density automation, industrial artificial intelligence, and green operations. Concurrently, national policies serve as critical institutional drivers. This study highlights a distinctive state-led governance innovation known as the “Chain Chief System” (supply chain lead system [SCLS]). The SCLS mechanism combines government administrative coordination with lead enterprise leadership. We utilize an innovative Institutional-Dynamic-Organizational model developed in Part I paper to evaluate this triadic ecosystem. Finally, we provide a balanced assessment of operational performance trade-offs under embedded state governance. Our findings reveal how institutional buffering reduces systemic risk costs while introducing compliance burdens and affecting market agility. This study offers key insights for global managers navigating supply chain resilience and uncertain industrial environments.
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