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dc.contributor.authorAfrifah, Williams
dc.contributor.authorEpiphaniou, Gregory
dc.contributor.authorErsotelos, Nikolaos
dc.contributor.authorMaple, Carsten
dc.contributor.editorBui, Tung X.
dc.date.accessioned2022-02-10T09:52:38Z
dc.date.available2022-02-10T09:52:38Z
dc.date.issued2022-01-04
dc.identifier.citationAfrifah, W., Epiphaniou, G., Ersotelos, N. and Maple, C. (2022) Barriers and opportunities in cyber risk and compliance management for data-driven supply chains, in Bui, T.X. (Ed.) Proceedings of the 55th Annual Hawaii International Conference on System Sciences. HICSS: Honolulu, Hawaii, pp. 1812-1821.en
dc.identifier.isbn9780998133157en
dc.identifier.issn2572-6862en
dc.identifier.doi10.24251/hicss.2022.225en
dc.identifier.urihttp://hdl.handle.net/2436/624595
dc.description© 2022 The Authors. Published by Hawaii International Conference on System Sciences. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: http://hdl.handle.net/10125/79557en
dc.description.abstractIn today's highly competitive market, where globalisation, mass production, and specialisation characterise the interconnected industrialised society, integrated Supply Chains (SCs) are more important than ever. Decision-makers rely on precise SC data, and even the smallest interruption in the data flow can have a substantial impact on the quality of the decisions. This dependency has inadvertently driven device connectivity towards an Industrial Internet of Things (IIoT) approach in the complete interconnection paradigm. While interconnectivity between devices has accelerated, IIoT and Industry 4.0 SC security measures have not kept pace. This conflict is exacerbated further by the need to process the data produced by IIoT systems while maintaining data privacy. With personal data being an integral part of the SC paradigm, this paper provides an extensive review of academic sources and consulting reports and presents a comprehensive analysis of the SC management barriers in Industry 4.0, as well as the role that advancements in Blockchain and artificial intelligence (AI) can play in mitigating SC security management risks.en
dc.formatapplication/pdfen
dc.language.isoenen
dc.publisherHawaii International Conference on System Sciencesen
dc.relation.urlhttp://hdl.handle.net/10125/79557en
dc.subjectpersonal dataen
dc.subjectblockchainen
dc.subjectfederated learningen
dc.subjectinternet of thingsen
dc.subjectsupply chainen
dc.subjectsupply chain risk managementen
dc.subjectanalytics and management of personal dataen
dc.titleBarriers and opportunities in cyber risk and compliance management for data-driven supply chainsen
dc.typeConference contributionen
dc.identifier.journalProceedings of the Annual Hawaii International Conference on System Sciencesen
dc.date.updated2022-02-09T09:50:14Z
dc.conference.nameHawaii International Conference on System Sciences
dc.conference.locationOnline
pubs.finish-date2022-01-07
pubs.start-date2022-01-03
rioxxterms.funderUniversity of Wolverhamptonen
rioxxterms.identifier.projectUOW10022022NEen
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
rioxxterms.licenseref.startdate2022-02-10en
dc.source.beginpage1812
dc.description.versionPublished online
refterms.dateFCD2022-02-10T09:52:16Z
refterms.versionFCDVoR
refterms.dateFOA2022-02-10T09:52:39Z


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