5. Supply chain data governance optimization structure analysis
5.1. Constructing a multi-layer recursive explanatory structure model
According to the hierarchical division of each index, a multi-layer recursive explanation structure model of supply chain data governance ecosystem is established as shown in Fig. 2, which divides the data governance optimization structure into three layers, namely, governance surface layer, governance middle layer and governance root layer. The model is characterized by layers advancing and complementing each other to promote supply chain data governance optimization in a systematic and orderly manner and achieve sustainable development of the whole domain of the governance system.
The middle layer of data governance plays a transitional role in the sustainable development of the supply chain data governance ecosystem, and its structure is complex, with relatively relaxed control of the middle layer by the governance body and a large governance difficulty factor. Whereas the data governance surface layer can produce direct effect advantages, the data governance root layer starts with the logic of the governance bottom layer to optimize the governance system with maximum intensity. Integrating the data governance surface layer with the root layer structure can efficiently and rapidly achieve sustainable development of the supply chain data governance ecosystem.