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

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

V. R. Pramod (Department of Mechanical Engineering, NSS College of Engineering, Palakkad, Kerala, India) and D. K. Banwet (Department of Management Studies, Indian Institute of Technology, New Delhi, Delhi, India)
DOI: 10.4018/jisscm.2013010105
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Abstract

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.
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Relevance Of The Research

This section highlights the novelty of the current research. The current industrial world witnesses an unprecedented growth in telecom service sector. While having a bird’s eye view on the world of SCM literature, there can be observed a substantial amount of research focused on the interpretive behaviour of various supply chain elements. However, a research on the interpretiveness of TSSC has observed as a missing link in the plethora of SCM literature. Similarly research on importing SC concepts and a systematic analysis of the inhibitors of the telecom service sector is still a missing link. There is hardly any evidence in literature till date of such research being undertaken in telecom service sector. This research is an endeavour in that direction to fill the research gap. In addition to that the fuzziness of the driving power and dependence of the inhibitors has also been analysed. In the current study, various inhibitors influencing Indian telecom service provider supply chain have been analyzed using ISM approach incorporating the fuzziness of interrelationships. This yields a clear road map on the relationships among the inhibitors, and their driving power and dependence.

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