Prioritizing the Criteria of Integrated Economic Data Management Framework in knowledge-based Businesses According to Data Management Frameworks

The main goal of this study is prioritizing the Economic Data Management Integrated Framework’s criteria based on data management frameworks in knowledge-based enterprises, using the comparative methodology of multi-criteria decision making and fuzzy logic calculations in Expert Choice and MATLAB software environment. The statistical sample of the present study is composed of expert university professors in the field of study and specialists working in knowledge-based enterprises in Tehran or other similar positions. Finally, 300persons were selected using the non-probability sampling technique at 2020 winter. According to the fuzzy calculations of the prioritization of research criteria, one of the most important results of the present study is that: the most important criteria in the "Economic Data Architecture" cluster, was "Data Quality Model” with the hierarchical fuzzy weight of 0.096; and the most important criteria in the "Data Management Processes in Databases" cluster,were "Data Distribution Services factor" with the hierarchical fuzzy weight of 0.191; and "Data Access Protocol factor"with the hierarchical fuzzy weight of 0.120. on the other hand, the most important criteria in the "Economic Data Models" cluster, was "Conceptual Data Model"with hierarchical fuzzy weight of 0.123, since based on multi-criteria decision making technique and fuzzy logic calculations, they have the highest fuzzy rank.