Sustainability analysis of digital transformation and circular industrialization with quantum spherical fuzzy modeling and golden cuts

Abstract

The purpose of this study is to identify the most essential criteria necessary for cyclical production and digital transformation in countries. First, eight factors are weighted by considering the Quantum spherical fuzzy (QSF) DEMATEL with golden cut method. Furthermore, QSF M-SWARA is also used to weight the criteria so that a comparative evaluation can be performed. Next, emerging seven countries are evaluated according to the performance of cyclical production and digital transformation with QSF TOPSIS with golden cut. A comparative evaluation has also been performed by using QSF ELECTRE methodology. Additionally, the sensitivity analysis is applied with 8 cases by changing the weighting results of the criteria consecutively. It is seen that the ranking results are quite similar for all different cases that indicate the coherency and reliability of the proposed model. The most important novelty of this study is to make a priority analysis by developing an original fuzzy decision-making model to provide cyclical production and digital transformation in enterprises. The findings demonstrate that new generation energy technologies have the greatest importance. Owing to new energy technologies, the use of clean energy can be increased. This issue has an important influence on reaching energy efficiency and reduction of carbon emission problem. Therefore, the purpose of circular production and digital transformation can be achieved much easily.