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dc.contributor.authorIrani, Z.
dc.contributor.authorKamal, M.
dc.contributor.authorSharif, A.
dc.contributor.authorLove, Peter
dc.date.accessioned2017-11-24T05:26:02Z
dc.date.available2017-11-24T05:26:02Z
dc.date.created2017-11-24T04:48:45Z
dc.date.issued2017
dc.identifier.citationIrani, Z. and Kamal, M. and Sharif, A. and Love, P. 2017. Enabling sustainable energy futures: factors influencing green supply chain collaboration. Production Planning & Control. 28 (6-8): pp. 684-705.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/58504
dc.identifier.doi10.1080/09537287.2017.1309710
dc.description.abstract

© 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. To explore the relationship between sustainability strategies and future energy needs, supply chains need to reduce their CO2 emissions through developing their green credentials and improving performance. Knowledge management (KM) is an enabler to support collaboration efforts. The SCM and KM areas have largely focused on improving organisational performance. While the latter has yielded successful outcomes in different sectors, there is still a scarcity of research on identifying influential factors highlighting those aspects which may enable green supply chain collaboration (GrSCC), thus leading to sustainable energy futures and carbon-efficient production. This paper examines the role of KM in facilitating GrSCC. Through the identification of key factors extrapolated from the literature, a model for implementing GrSCC using a futures-based perspective is proposed. This paper inductively demonstrates the relationship between identified GrSCC factors through fuzzy cognitive mapping technique. Findings support a futures-based perspective that enhances understanding and refines forward-looking strategies for GrSCC.

dc.publisherTaylor & Francis
dc.titleEnabling sustainable energy futures: factors influencing green supply chain collaboration
dc.typeJournal Article
dcterms.source.volume28
dcterms.source.number6-8
dcterms.source.startPage684
dcterms.source.endPage705
dcterms.source.issn0953-7287
dcterms.source.titleProduction Planning & Control
curtin.departmentDepartment of Civil Engineering
curtin.accessStatusOpen access via publisher


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