7. Conclusions and limitations
This paper identifies the causal attributes of indexes for supply chain
data governance optimization through fuzzy DEMATEL model and screens out
16 key indexes. Based on this, the ISM model is used to further
visualize the hierarchical structure of key indexes, reveal the
mechanism of the indexes in depth, and systematically analyze the supply
chain data governance optimization structure. The findings of the study
aim to enhance the sustainable development of the supply chain data
governance ecosystem and provide managers with an adaptive choice of
supply chain data governance optimization path. In order to ensure the
authority and objectivity of the study, there are still shortcomings in
the selection of data samples for expert scoring, and the number and
type of samples should be expanded in the future to make the research
results more representative.