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

dc.contributor.authorGovindan, Kannan
dc.contributor.authorKannan, Devika
dc.contributor.authorMathiyazhagan, K.
dc.contributor.authorde Sousa Jabbour, Ana Beatriz Lopes
dc.contributor.authorJabbour, Charbel José Chiappetta
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:29:38Z
dc.date.available2014-05-27T11:29:38Z
dc.date.issued2013-06-03
dc.description.abstractIndustries 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.en
dc.identifierhttp://dx.doi.org/10.1080/00207233.2013.798494
dc.identifier.citationInternational Journal of Environmental Studies.
dc.identifier.doi10.1080/00207233.2013.798494
dc.identifier.issn0020-7233
dc.identifier.issn1029-0400
dc.identifier.scopus2-s2.0-84878248299
dc.identifier.urihttp://hdl.handle.net/11449/75604
dc.language.isoeng
dc.relation.ispartofInternational Journal of Environmental Studies
dc.relation.ispartofsjr0,239
dc.relation.ispartofsjr0,239
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
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 modellingen
dc.typeArtigo
dcterms.licensehttp://journalauthors.tandf.co.uk/permissions/reusingOwnWork.asp
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Baurupt

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