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dc.contributor.authorTsolakis, Naoum
dc.contributor.authorSchumacher, Roman
dc.contributor.authorDora, Manoj
dc.contributor.authorKumar, Mukesh
dc.date.accessioned2022-05-25T23:30:42Z
dc.date.available2022-05-25T23:30:42Z
dc.date.issued2022-06-21
dc.identifier.issn0254-5330
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/337487
dc.description.abstractDigitalisation is expected to transform end-to-end supply chain operations by leveraging the technical capabilities of advanced technology applications. Notwithstanding the operations-wise merits associated with the implementation of digital technologies, individually, their combined effect has been overlooked owing to limited real-world evidence. In this regard, this research explores the joint implementation of Artificial Intelligence (AI) and Blockchain Technology (BCT) in supply chains for extending operations performance boundaries and fostering sustainable development and data monetisation. Specifically, this study empirically studied the tuna fish supply chain in Thailand to identify respective end-to-end operations, observe material and data-handling processes, and envision the implementation of AI and BCT. Therefore, we first mapped the business processes and the system-level interactions to understand the governing material, data, and information flows that could be facilitated through the combined implementation of AI and BCT in the respective supply chain. The mapping results illustrate the central role of AI and BCT in digital supply chains' management, while the associated sustainability and data monetisation impact depends on the parameters and objectives set by the involved system stakeholders. Afterwards, we proposed a unified framework that captures the key data elements that need to be digitally handled in AI and BCT enabled food supply chains for driving value delivery. Overall, the empirically-driven modelling approach is anticipated to support academics and practitioners' decision-making in studying and introducing digital interventions toward sustainability and data monetisation.
dc.publisherSpringer Science and Business Media LLC
dc.rightsAll Rights Reserved
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserved
dc.subjectSupply chain digitalisation
dc.subjectArtificial Intelligence
dc.subjectBlockchain Technology
dc.subjectData monetisation
dc.subjectSustainability
dc.subjectFish supply networks
dc.titleArtificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation?
dc.typeArticle
dc.publisher.departmentDepartment of Engineering
dc.date.updated2022-05-24T15:37:55Z
prism.publicationNameAnn Oper Res
dc.identifier.doi10.17863/CAM.84901
dcterms.dateAccepted2022-05-17
rioxxterms.versionofrecord10.1007/s10479-022-04785-2
rioxxterms.versionAM
dc.contributor.orcidTsolakis, Naoum [0000-0003-2042-7047]
dc.contributor.orcidSchumacher, Roman [0000-0003-0764-5867]
dc.contributor.orcidDora, Manoj [0000-0003-4730-8144]
dc.contributor.orcidKumar, Mukesh [0000-0002-1961-5078]
dc.identifier.eissn1572-9338
rioxxterms.typeJournal Article/Review
pubs.funder-project-idBritish Council in India (UKUTP201100194)
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/K02888X/1)
pubs.funder-project-idEPSRC (via Aston University) (56532 (EP/S036091/1))
pubs.funder-project-idEPSRC (via Aston University) (EP/S036091/1)
cam.issuedOnline2022-06-21
cam.orpheus.successMon Jun 27 07:19:01 BST 2022 - Embargo updated
cam.orpheus.counter3
cam.depositDate2022-05-24
pubs.licence-identifierapollo-deposit-licence-2-1
pubs.licence-display-nameApollo Repository Deposit Licence Agreement
rioxxterms.freetoread.startdate2023-06-21


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