{"title":"绿色供应链管理实施:绿色供应链实践(gscp)建模","authors":"S. S. Panpatil, R. Kant","doi":"10.1108/jamr-07-2021-0241","DOIUrl":null,"url":null,"abstract":"PurposeThis study aims to identify and recognize the interrelationship between green supply chain practices (GSCPs) and analyze the effect of GSCPs on green supply chain management (GSCM) implementation on the premise of driving and dependence power of GSCPs.Design/methodology/approachThis research identifies twenty GSCPs with the consultation of the team of industry practitioners and academicians. Interpretative structural modelling (ISM) is applied to develop the relationship between GSCPs, which gives the direct and indirect effects of each GSCPs. The result obtained from ISM is used as an input for Fuzzy matriced impacts croises multiplication appliquee a un classement (Fuzzy MICMAC) to identify the driving and dependence power of GSCPs.FindingsAn integrated model has been established using ISM and the Fuzzy MICMAC method to categorize the GSCPs. It reveals the direct and indirect effect of each GSCPs on the execution of GSCM. The result shows that driver GSCPs have deliberate importance because of their driving power and dependent GSCPs are more performance-oriented.Research limitations/implicationsISM model and fuzzy MICMAC analysis depends on the judgment of the professional's team from a single industry. These opinions may be subjective judgments of the experts and any biasing may influence the final result.Practical implicationsThis study gives significant guidance to industry practitioners and academicians. Industry practitioners need to concentrate on these most significant GSCPs for the successful implementation of GSCM. They must also plan for the growth of GSCM by concentrating on all GSCPs. On the other side, academicians may be motivated to categorize other issues which are essential for GSCPs.Originality/valueIn this research, an effort has been made to identify the significant GSCPs for GSCM implementation on a single platform. A huge literature is available on GSCPs, but none of the researchers paid attention to model these GSCPs using ISM and fuzzy MICMAC.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2022-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Green supply chain management implementation: modeling the green supply chain practices (GSCPs)\",\"authors\":\"S. S. Panpatil, R. Kant\",\"doi\":\"10.1108/jamr-07-2021-0241\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PurposeThis study aims to identify and recognize the interrelationship between green supply chain practices (GSCPs) and analyze the effect of GSCPs on green supply chain management (GSCM) implementation on the premise of driving and dependence power of GSCPs.Design/methodology/approachThis research identifies twenty GSCPs with the consultation of the team of industry practitioners and academicians. Interpretative structural modelling (ISM) is applied to develop the relationship between GSCPs, which gives the direct and indirect effects of each GSCPs. The result obtained from ISM is used as an input for Fuzzy matriced impacts croises multiplication appliquee a un classement (Fuzzy MICMAC) to identify the driving and dependence power of GSCPs.FindingsAn integrated model has been established using ISM and the Fuzzy MICMAC method to categorize the GSCPs. It reveals the direct and indirect effect of each GSCPs on the execution of GSCM. The result shows that driver GSCPs have deliberate importance because of their driving power and dependent GSCPs are more performance-oriented.Research limitations/implicationsISM model and fuzzy MICMAC analysis depends on the judgment of the professional's team from a single industry. These opinions may be subjective judgments of the experts and any biasing may influence the final result.Practical implicationsThis study gives significant guidance to industry practitioners and academicians. Industry practitioners need to concentrate on these most significant GSCPs for the successful implementation of GSCM. They must also plan for the growth of GSCM by concentrating on all GSCPs. On the other side, academicians may be motivated to categorize other issues which are essential for GSCPs.Originality/valueIn this research, an effort has been made to identify the significant GSCPs for GSCM implementation on a single platform. A huge literature is available on GSCPs, but none of the researchers paid attention to model these GSCPs using ISM and fuzzy MICMAC.\",\"PeriodicalId\":46158,\"journal\":{\"name\":\"Journal of Advances in Management Research\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2022-01-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Advances in Management Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/jamr-07-2021-0241\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advances in Management Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jamr-07-2021-0241","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
Green supply chain management implementation: modeling the green supply chain practices (GSCPs)
PurposeThis study aims to identify and recognize the interrelationship between green supply chain practices (GSCPs) and analyze the effect of GSCPs on green supply chain management (GSCM) implementation on the premise of driving and dependence power of GSCPs.Design/methodology/approachThis research identifies twenty GSCPs with the consultation of the team of industry practitioners and academicians. Interpretative structural modelling (ISM) is applied to develop the relationship between GSCPs, which gives the direct and indirect effects of each GSCPs. The result obtained from ISM is used as an input for Fuzzy matriced impacts croises multiplication appliquee a un classement (Fuzzy MICMAC) to identify the driving and dependence power of GSCPs.FindingsAn integrated model has been established using ISM and the Fuzzy MICMAC method to categorize the GSCPs. It reveals the direct and indirect effect of each GSCPs on the execution of GSCM. The result shows that driver GSCPs have deliberate importance because of their driving power and dependent GSCPs are more performance-oriented.Research limitations/implicationsISM model and fuzzy MICMAC analysis depends on the judgment of the professional's team from a single industry. These opinions may be subjective judgments of the experts and any biasing may influence the final result.Practical implicationsThis study gives significant guidance to industry practitioners and academicians. Industry practitioners need to concentrate on these most significant GSCPs for the successful implementation of GSCM. They must also plan for the growth of GSCM by concentrating on all GSCPs. On the other side, academicians may be motivated to categorize other issues which are essential for GSCPs.Originality/valueIn this research, an effort has been made to identify the significant GSCPs for GSCM implementation on a single platform. A huge literature is available on GSCPs, but none of the researchers paid attention to model these GSCPs using ISM and fuzzy MICMAC.