Analysing green supply chain management practices in Brazil's electrical/electronics industry using interpretive structural modelling

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorGovindan, Kannan
dc.creatorKannan, Devika
dc.creatorMathiyazhagan, K.
dc.creatorde Sousa Jabbour, Ana Beatriz Lopes
dc.creatorJabbour, Charbel José Chiappetta
dc.date2014-05-27T11:29:38Z
dc.date2016-10-25T18:49:37Z
dc.date2014-05-27T11:29:38Z
dc.date2016-10-25T18:49:37Z
dc.date2013-06-03
dc.date.accessioned2017-04-06T02:26:08Z
dc.date.available2017-04-06T02:26:08Z
dc.identifierInternational Journal of Environmental Studies.
dc.identifier0020-7233
dc.identifier1029-0400
dc.identifierhttp://hdl.handle.net/11449/75604
dc.identifierhttp://acervodigital.unesp.br/handle/11449/75604
dc.identifier10.1080/00207233.2013.798494
dc.identifier2-s2.0-84878248299
dc.identifierhttp://dx.doi.org/10.1080/00207233.2013.798494
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/896344
dc.descriptionIndustries need to adopt the environmental management concepts in the traditional supply chain management. The green supply chain management (GSCM) is an established concept to ensure environment-friendly activities in industry. This paper identifies the relationship of driving and dependence that exists between GSCM practices with regard to their adoption within Brazilian electrical/electronic industry with the help of interpretive structural modelling (ISM). From the results, we infer that cooperation with customers for eco-design practice is driving other practices, and this practice acts as a vital role among other practices. Commitment to GSCM from senior managers and cooperation with customers for cleaner production occupy the highest level. © 2013 Copyright Taylor and Francis Group, LLC.
dc.languageeng
dc.relationInternational Journal of Environmental Studies
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectGreen supply chain
dc.subjectInterpretive structural modelling (ISM)
dc.titleAnalysing green supply chain management practices in Brazil's electrical/electronics industry using interpretive structural modelling
dc.typeOtro


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