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.