Barriers and opportunities in cyber risk and compliance management for data-driven supply chains

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.

Citation

Afrifah, 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.

Type

Conference contribution

Language

en

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/10125/79557

ISSN

2572-6862

ISBN

9780998133157

Collections

Faculty of Science and Engineering