过程信用:数据链金融增强供应链韧性的范式重构与机制创新OACHSSCD

Under the new form of intelligent economy,a structural contradiction has arisen between the credit model relying on static and lagging information and the dynamic,continuous operation process of modern supply chains.This makes it difficult for financial resources to accurately meet the needs of resilience building.To address this dilemma,this study constructs an analytical framework of"paradigm,mechanism,and path."The research indicates that the value of data chain finance lies in fostering a new paradigm of"process credit"anchored by real-time,verifiable process data.This paradigm systematically enhances supply chain resilience in three dimensions—information governance,organizational collaboration,and contract design—by enabling three core mechanisms:penetrating risk perception,distributed collaborative decision-making,and automated incentive compatibility.Thus,"process credit"serves as a theoretical nexus connecting digital finance with supply chain resilience,revealing the essence of how technological empowerment deepens from the instrumental level to the reconstruction of credit and governance foundations.On that basis,this paper constructs an integrated implementation path covering three layers:data infrastructure,financial instruments and governance ecosystem.First,consolidate data infrastructure by developing trusted data spaces,by promoting full-scale data chaining and by advancing quantitative evaluation model research.Second,innovate financial instruments including dynamic pricing finance,event-driven insurance and embedded risk control products.Third,optimize the governance ecosystem by clarifying the rights and obligations of government,industry,finance and research entities to build a collaborative governance system involving all stakeholders.The resultant systematic solution offers comprehensive references for practical implementation.