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dc.contributor.authorKaviani, Mohamad Amin
dc.contributor.authorMadjid, Tavana
dc.contributor.authorKumar, Anil
dc.contributor.authorJerzy, Michnik
dc.contributor.authorRaziyeh, Niknam
dc.contributor.authorElaine Aparecida, Regiani de Campos
dc.date.accessioned2020-07-17T10:26:04Z
dc.date.available2020-07-17T10:26:04Z
dc.date.issued2020-07-07
dc.identifier.citationKaviani, M., A., Madjid, T., Kumar, A., Jerzy, M., Raziyeh, N., and de Campos, E.A.R. (2020). 'An integrated framework for evaluating the barriers to successful implementation of reverse logistics in the automotive industry'. Journal of Cleaner Production, pp. 1-51.en_US
dc.identifier.issn0959-6526
dc.identifier.doi10.1016/j.jclepro.2020.122714
dc.identifier.urihttp://hdl.handle.net/10545/625019
dc.description.abstractReverse logistics (RL) strategy can have a positive impact on productivity, and the diminishing resources, along with the strict environmental regulations, have strengthened the need for this strategy. The purpose of this study is to develop an integrated framework for identifying: (1) the critical barriers to the successful implementation of RL in the automotive industry; (2) the importance and implementation priorities of these barriers; and (3) the causal relations among them. The proposed framework is composed of the Delphi method to identify the most relevant barriers, the best-worst method (BWM) to determine their importance, and the weighted influence non-linear gauge system (WINGS) to analyze their causal relationships. The proposed framework is applied to a case study in the automotive industry. The results indicate the economic barriers are the most important, and the knowledge barriers are the least important barriers to the successful implementation of RL in the automotive industry.en_US
dc.description.sponsorshipN/Aen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.urlhttps://www.journals.elsevier.com/journal-of-cleaner-production/en_US
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S095965262032761Xen_US
dc.subjectReverse logistics; implementation barriers; supply chain; best-worst method; weighted influence non-linear gauge systemen_US
dc.titleAn integrated framework for evaluating the barriers to successful implementation of reverse logistics in the automotive industryen_US
dc.typeArticleen_US
dc.identifier.eissn1879-1786
dc.contributor.departmentUniversity of Cyprusen_US
dc.contributor.departmentLa Salle University, Philadelphia, USAen_US
dc.contributor.departmentUniversity of Derbyen_US
dc.contributor.departmentUniversity of Economics, Katowice, Polanden_US
dc.contributor.departmentAzad University, Shiraz, Iranen_US
dc.contributor.departmentUniversity of Rio Grande do Sul, Porto Alegre, Brazilen_US
dc.identifier.journalJournal of Cleaner Productionen_US
dcterms.dateAccepted2020-06-07
dc.author.detail786345en_US


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