Revitalising food supply networks through trustworthy data sources: An emergent toolkit for data sharing clubs

Brewer, Steve; Kazantsev, Nikolai; Alves, Kyle; Pearson, Simon; Pauli, Michelle

Abstract

The food system, and other similar opportunistic and dynamic supply systems, are increasingly exploiting digital data to increase operational efficiency and effectiveness. Digital data is plentiful and fluid but introduces challenges to security, privacy, trust overheads, and myriad others when sharing with services beyond traditional organisational boundaries. The focus of this paper is to explore the emergent tools and processes necessary to establish and sustainably cultivate a data-sharing structure that can serve the needs of a dynamic food and drink supply system or similar collaborative supply chain. We also address the role of the data sharing club as a structure that employs a customised governance framework for that unique structure. Central to this approach is the need to understand the interactions of people, technology and organisation.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: International Conference on AI and the Digital Economy (CADE 2024)
• Start Date: Jun 24, 2024
• End Date: Jun 26, 2024
• Acceptance Date: Apr 19, 2024
• Online Publication Date: Aug 12, 2024
• Publication Date: Aug 12, 2024
• Deposit Date: Mar 28, 2025
• Publicly Available Date: Apr 4, 2025
• Journal: IET Conference Proceedings
• Electronic ISSN: 2169-3536
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• Volume: 2024
• Issue: 7
• Pages: 30-35
• Book Title: International Conference on AI and the Digital Economy (CADE 2024)
• ISBN: 9781837241842
• DOI: https://doi.org/10.1049/icp.2024.2524
• Public URL: https://uwe-repository.worktribe.com/output/13461693