Barriers and Opportunities In Cyber Risk And Compliance Management For Data-Driven Supply Chains

Date
2022-01-04
Authors
Afrifah, Williams
Epiphaniou, Dr Gregory
Ersotelos, Nikolaos
Maple , Carsten
Journal Title
Journal ISSN
Volume Title
Publisher
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.
Description
Keywords
Personal Data: Analytics and Management, blockchain, federated learning, internet of things, supply chain, supply chain risk management
Citation
Rights
Access Rights
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.