4. Research methodology
4.1 DEMATEL methodology
4.1.1. Research method selection
This study introduces the fuzzy DEMATEL model to determine the
importance of each index of supply chain data governance optimization by
expert scoring method. We apply fuzzy set theory for initial data
processing to reduce the range limitation of data results, and improve
the independence of index weights based on the improvement of the data
calculation model of direct influence matrix sources. The above
operations can enhance the results of subsequent key index screening and
hierarchical analysis studies reliability.
4.1.2. Initial weight determination
In order to determine the initial weights of supply chain data
governance and construct the original DEMATEL data, this study designed
the index importance scoring table for supply chain data governance
optimization. 8 experts were contacted for their opinions to determine
the importance of the indexes. The experts who participated in the
questionnaire survey covered academic professors, industrial Internet
industry operators and department heads of supply chain enterprises who
studied related topics. At the same time, senior users were invited to
participate in the scoring. The questionnaire was distributed and
collected online.
The study uses triangular fuzzy numbers in fuzzy mathematics to reflect
the results of experts’ judgments on the importance of indexes, which
are easier to obtain ideal solutions from group decisions than
traditional methods. The triangular fuzzy numbers refer to the fuzzy
numbers on the set of real numbers with the affiliation function of
fuzzy numbers. Denote the triangular fuzzy number as, where and denote
the upper and lower limits of the fuzzy value, respectively, and is the
approximation of the fuzzy value.