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dc.contributor.authorDubey, R
dc.contributor.authorGunasekaran, A
dc.contributor.authorPapadopoulos, T
dc.contributor.authorChilde, Stephen J
dc.contributor.authorShibin, KT
dc.contributor.authorFosso Wamba, S
dc.date.accessioned2016-07-07T18:17:09Z
dc.date.issued2017-01-20
dc.identifier.issn0959-6526
dc.identifier.issn1879-1786
dc.identifier.urihttp://hdl.handle.net/10026.1/5032
dc.description.abstract

This paper argues for the use of Total Interpretive Structural Modeling (TISM) in sustainable supply chain management (SSCM). The literature has identified antecedents and drivers for the adoption of SSCM. However, there is relatively little research on methodological approaches and techniques that take into account the dynamic nature of SSCM and bridge the existing quantitative/qualitative divide. To address this gap, this paper firstly systematically reviews the literature on SSCM drivers; secondly, it argues for the use of alternative methods research to address questions related to SSCM drivers; and thirdly, it proposes and illustrates the use of TISM and Cross Impact Matrix-multiplication applied to classification (MICMAC) analysis to test a framework that extrapolates SSCM drivers and their relationships. The framework depicts how drivers are distributed in various levels and how a particular driver influences the other through transitive links. The paper concludes with limitations and further research directions.

dc.format.extent1119-1130
dc.languageen
dc.language.isoen
dc.publisherElsevier
dc.subjectSustainable supply chain
dc.subjectTotal Interpretive Structural Modeling
dc.subjectMICMAC
dc.subjectDrivers
dc.titleSustainable supply chain management: framework and further research directions
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000391897400059&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue2
plymouth.volume142
plymouth.publication-statusPublished
plymouth.journalJournal of Cleaner Production
dc.identifier.doi10.1016/j.jclepro.2016.03.117
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business/Plymouth Business School
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA17 Business and Management Studies
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2016-03-17
dc.rights.embargodate2017-4-12
dc.identifier.eissn1879-1786
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1016/j.jclepro.2016.03.117
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2017-01-20
rioxxterms.typeJournal Article/Review


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