供应链内部驱动因素对绿色供应链管理属性的影响

Q3 Business, Management and Accounting

International Journal of Business Performance and Supply Chain Modelling Pub Date : 2019-01-01 DOI:10.1504/ijbpscm.2019.10027442

R. Murali, S. Vijay Anand, R. G. Kumar

{"title":"供应链内部驱动因素对绿色供应链管理属性的影响","authors":"R. Murali, S. Vijay Anand, R. G. Kumar","doi":"10.1504/ijbpscm.2019.10027442","DOIUrl":null,"url":null,"abstract":"With the growing importance for less polluting, cleaner and efficient processes, green supply chain management has grown in prominence in general. This has presented an important requirement for their study in a systematic manner. In an attempt to fulfil this requirement, this study puts forth several ideas. The impact of the variables, namely, anticipation of benefits and customer orientation on green supply chain management (GSCM) attributes has been taken up for an intensive study. These variables have impact on the GSCM attributes to varying degrees. Partial least squares structural equations modelling were used for the study and the open source statistical tool R for the analysis. The former is an appropriate tool when the data size is small and there are no assumptions about the characteristics of the data.","PeriodicalId":37630,"journal":{"name":"International Journal of Business Performance and Supply Chain Modelling","volume":"118 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Effect of internal supply chain drivers on green supply chain management attributes\",\"authors\":\"R. Murali, S. Vijay Anand, R. G. Kumar\",\"doi\":\"10.1504/ijbpscm.2019.10027442\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the growing importance for less polluting, cleaner and efficient processes, green supply chain management has grown in prominence in general. This has presented an important requirement for their study in a systematic manner. In an attempt to fulfil this requirement, this study puts forth several ideas. The impact of the variables, namely, anticipation of benefits and customer orientation on green supply chain management (GSCM) attributes has been taken up for an intensive study. These variables have impact on the GSCM attributes to varying degrees. Partial least squares structural equations modelling were used for the study and the open source statistical tool R for the analysis. The former is an appropriate tool when the data size is small and there are no assumptions about the characteristics of the data.\",\"PeriodicalId\":37630,\"journal\":{\"name\":\"International Journal of Business Performance and Supply Chain Modelling\",\"volume\":\"118 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Business Performance and Supply Chain Modelling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijbpscm.2019.10027442\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Business Performance and Supply Chain Modelling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijbpscm.2019.10027442","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Business, Management and Accounting","Score":null,"Total":0}

引用次数: 4

摘要

随着对更少污染、更清洁和更高效的过程的重要性日益增加，绿色供应链管理在一般情况下日益突出。这对他们的系统研究提出了一个重要的要求。为了满足这一要求，本研究提出了几点设想。本文对利益预期和顾客导向这两个变量对绿色供应链管理属性的影响进行了深入研究。这些变量对GSCM属性有不同程度的影响。采用偏最小二乘结构方程模型进行研究，并使用开源统计工具R进行分析。当数据量很小且对数据的特征没有假设时，前者是一个合适的工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Effect of internal supply chain drivers on green supply chain management attributes

With the growing importance for less polluting, cleaner and efficient processes, green supply chain management has grown in prominence in general. This has presented an important requirement for their study in a systematic manner. In an attempt to fulfil this requirement, this study puts forth several ideas. The impact of the variables, namely, anticipation of benefits and customer orientation on green supply chain management (GSCM) attributes has been taken up for an intensive study. These variables have impact on the GSCM attributes to varying degrees. Partial least squares structural equations modelling were used for the study and the open source statistical tool R for the analysis. The former is an appropriate tool when the data size is small and there are no assumptions about the characteristics of the data.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

International Journal of Business Performance and Supply Chain Modelling Business, Management and Accounting-Business and International Management

CiteScore

2.00

自引率

0.00%

发文量

期刊介绍： IJBPSCM covers original, high-quality and cutting-edge research on all aspects of supply chain modelling, aiming at bridging the gap between theory and practice with applications analysing the real situation to improve business performance. Topics covered include Business performance modelling, strategy Vendor/supplier selection, supplier development, purchasing management Supply chain management (SCM), green supply chain modelling Reverse logistics, closed loop/knowledge-based supply chains, 3PL/4PL Sustainable/quality based/agile/leagile/intelligent SCM Supply chain performance/optimisation/risk/decision making/support systems AI, information sharing in SCM, systems approach to SCM Coordinated/global/flexible SCM, risk mitigation strategies Stochastic supply chain games IT-enabled SCM, fuzzy modelling, data mining Supply chain network management, modelling/simulation, implementation Training/education, information security, RFID Supply chain analysis, transportation decisions, vehicle routing, bullwhip effect Logistics in disaster management Cross-country comparison.