Strategic exploration of sustainable drivers in innovating decision-making for disruptive policies through a facial expression-based fuzzy model

Abstract

ABSTRACT The purpose of this study is to identify critical factors that affect the performance of disruptive innovation of the companies. In this process, a novel decision-making model has been constructed to achieve this objective. First, selected indicators for effective disruptive innovation policies are analysed with facial expression-based quantum spherical fuzzy DEMATEL. Furthermore, the second stage of the model consists of the ranking the performance of the Southeast Asian economies for the sustainable drivers of the disruptive innovation policies. Within this framework, facial expression-based quantum spherical fuzzy TOPSIS methodology is taken into consideration. The main contribution of this study is that considering facial expressions of the decision-makers helps to achieving more accurate results. In addition to this issue, integrating Spherical fuzzy numbers with DEMATEL and TOPSIS techniques contributes to make a more comprehensive evaluation so that uncertainty in decision-making processes can be handled more effectively. The findings indicate that market penetration has the highest importance to increase the performance of the disruptive innovation. On the other side, Singapore and Philippines has the greatest performance with respect to the disruptive innovation policies of small and medium enterprises.