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.