Risk Management Analysis of the Sustainable Supply Chain Using a Fuzzy Hybrid Approach in India

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Abstract
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Different sources of risk factors can happen in sustainable supply chain management due to their complex nature. The telecommunication service firm cannot implement multiple improvement practices altogether to overcome the risk factors with limited resources. The industries should evaluate the relationship between risk factors and explore the determinants of improvement measures. The present study aims to analyses and identifies critical risk factors (CRFs) for enhancing sustainable supply chain management practices in the Indian telecommunication industry using the hybrid approach. The relationship among these CRFs has been analyzed by using fuzzy interpretive structural modelling (FISM) and Fuzzy decision-making trial and evaluation laboratory (FDEMATEL) methods to explore the relationships between them. The common result of the present study is that the risks government policies (laws and regulations) (R13) are the most affecting CRFs of the sustainable supply chain in telecom service. In addition, the risk factors illegal activities (e.g.2G scams) (R3), environmental pollution(R18) are indirectly affected by high driving power CRFs. Based on the results, the government could build justice, fairness, open laws, and certainties to prevent risk in the telecoms supply chain; service providers could monitor the rapidly evolving technologies. The contribution of this study is using a hybrid approach to establish a hierarchical structural model for an effective understanding of CRFs relationships and to explore decisive risk factors.

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  • 10.3390/su13020445
An Exploration of the Critical Risk Factors in Sustainable Telecom Services: An Analysis of Indian Telecom Industries
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Different sources of risk factors can occur in sustainable supply chain management due to its complex nature. The telecommunication service firm cannot implement multiple improvement practices altogether to overcome the risk factors with limited resources. The industries should evaluate the relationship between risk factors and explore the determinants of improvement measures. The purpose of the present study is to identify and analyze critical risk factors (CRFs) for enhancing sustainable supply chain management practices in the Indian telecommunication industry using interpretive structural modelling (ISM). Risk factors are identified through a literature survey, and then with the help of experts, nine CRFs are identified using a fuzzy Delphi method (FDM). The relationship among these CRFs has been analyzed using ISM, and the driving and the dependence power of those CRFs are analyzed. Results indicate that both “government policies (laws and regulations)” and “the impact of rapid change in technology” are independent or key factors that affect the sustainability of the telecommunications supply chain. In addition, results provide significant managerial implications, including enhanced sustainability, and the government should build justice, fairness, open laws, certainties, and regulations to prevent risk in the telecommunications industry supply chain; service providers should monitor the rapidly evolving technologies and focus on technical learning and organizational capacity development to overcome the impact of technological changes. The contribution of this study is using a novel approach to establish a hierarchical structural model for an effective understanding of CRFs relationships and to explore decisive risk factors that can help telecom service providers to better plan and design effective improvement strategies to enhance sustainability supply chain management.

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Purpose This paper seeks to contribute to the understanding of the impact of Sustainable Supply Chain Management (SSCM) practices on sustainable performance and the further impact of sustainable performance on food safety assurance in Chinese food firms. The paper also aims to provide a new way to avoid the occurrence of food safety problems from the perspective of SSCM and so help food firms to achieve sustainable development. Design/methodology/approach This paper developed a conceptual model to investigate the impact of food firms SSCM practices on the firm performances while firm performances on food safety assurance. The primary data were collected from 162 Chinese food firms. The research models were tested using structural equation modeling on PLS smart 3.0. Findings The results show that SSCM practices have a positive impact on firm environmental performance and social performances. The environmental and social performance positively related to financial performance. Moreover, the sustainable performance positively affects the food safety assurance. Research limitations/implications Our results suggest that SSCM practices have a positive impact on a firm’s environmental and social performance, which in turn improves financial performance. Moreover, sustainable performance positively affects food safety assurance. Originality/value An SSCM practices model is proposed to empirically evaluate Chinese food firms. The results of this investigation support the hypotheses that SSCM practices are environmentally and socially friendly and are good to business, and the food safety assurance can be promoted by a food firm’s sustainability performance. We carried out a survey and research of SSCM in food industry and gave insights to food safety management.

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