Fuzzy ISM for Analyzing the Inhibitors of a Telecom Service Supply Chain

ISM is well-proven for analyzing the synergic influences of various attributes to the overall system under study. Its unique feature is the competency to analyze the attributes based on their driving power and dependence. In the current research, the ISM has been developed for a leading Indian telecom service provider. The inhibitors in the service supply chain have been identified. Initial reachability matrix and final reachability matrix have been made. In this paper, in addition to the traditional methodology, an attempt to quantify the fuzzy interrelationships has been made. This gave a better representation of the situation than the traditional endeavours, which were based on binary elements. The hierarchy of various inhibitors has been established based on the outcomes of the final reachability matrix. The digraph has been constructed. In order to have a better analysis, the relationships were quantified and plotted. Finally MICMAC analysis has been carried out. The inhibitors have been categorized into four clusters. The paper is concluded with managerial implications and scope for future work.