Barriers and Opportunities In Cyber Risk And Compliance Management For Data-Driven Supply Chains Afrifah, Williams Epiphaniou, Dr Gregory Ersotelos, Nikolaos Maple , Carsten 2021-12-24T17:33:30Z 2021-12-24T17:33:30Z 2022-01-04
dc.description.abstract In 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.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.225
dc.identifier.isbn 978-0-9981331-5-7
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Personal Data: Analytics and Management
dc.subject blockchain
dc.subject federated learning
dc.subject internet of things
dc.subject supply chain
dc.subject supply chain risk management
dc.title Barriers and Opportunities In Cyber Risk And Compliance Management For Data-Driven Supply Chains
dc.type.dcmi text
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