{"title":"基于模糊混合方法的印度可持续供应链风险管理分析","authors":"Venkateswarlu Nalluri, Ching-Torng Lin, Long-Sheng Chen","doi":"10.1109/taai54685.2021.00041","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":343821,"journal":{"name":"2021 International Conference on Technologies and Applications of Artificial Intelligence (TAAI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk Management Analysis of the Sustainable Supply Chain Using a Fuzzy Hybrid Approach in India\",\"authors\":\"Venkateswarlu Nalluri, Ching-Torng Lin, Long-Sheng Chen\",\"doi\":\"10.1109/taai54685.2021.00041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":343821,\"journal\":{\"name\":\"2021 International Conference on Technologies and Applications of Artificial Intelligence (TAAI)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Technologies and Applications of Artificial Intelligence (TAAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/taai54685.2021.00041\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Technologies and Applications of Artificial Intelligence (TAAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/taai54685.2021.00041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Risk Management Analysis of the Sustainable Supply Chain Using a Fuzzy Hybrid Approach in India
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.