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dc.contributor.authorOlan, Fen
dc.contributor.authorLiu, Sen
dc.contributor.authorSukan, Jen
dc.contributor.authorJayawickrama, Uen
dc.contributor.authorArakpogun, Een
dc.date.accessioned2021-04-27T13:55:04Z
dc.date.issued2021-04-25en
dc.identifier.issn0020-7543en
dc.identifier.urihttp://hdl.handle.net/10026.1/17074
dc.description.abstract

In the last decade, food and drink supply chain management has become an important part of global operations strategy. The global food and drink industries (FDIs) is establishing supply chain operations across countries as a result of increasing demand, this expansion has created challenges in coordinating operations that connect multi-suppliers, one as such is the financial enabler for the multi-layered supply chain network. However, literature on artificial intelligence (AI) in FDIs is limited, this study explores AI theory in supply chain networks and alternative supply chain financing for the FDIs. This study proposes a new conceptual framework based on theoretical contributions identified through literature, a conceptual framework is established and further developed to a meta-framework. This study explored the set-theoretic comparative approach for data analysis, the outcomes of this research suggest that the probable contributions of supply chain networks driven by AI technologies provide a sustainable financing stream for the food and drink supply chain.

en
dc.language.isoenen
dc.publisherTaylor & Francisen
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 Internationalen
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 Internationalen
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 Internationalen
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 Internationalen
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en
dc.subjectArtificial Intelligenceen
dc.subjectFood and drink industries
dc.subjectSupply Chain
dc.subjectFinance
dc.subjectSustainability
dc.subjectSupply Networks
dc.titleThe role of Artificial Intelligence networks in sustainable supply chain finance for food and drink industryen
dc.typeJournal Article
plymouth.journalInternational Journal of Production Researchen
dc.identifier.doi10.1080/00207543.2021.1915510en
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.dateAccepted2021-04-02en
dc.rights.embargodate2022-04-25en
dc.rights.embargoperiodNot knownen
rioxxterms.versionofrecord10.1080/00207543.2021.1915510en
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en
rioxxterms.licenseref.startdate2021-04-25en
rioxxterms.typeJournal Article/Reviewen


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