Towards Digital Supply Chain Risk Surveillance
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Authors
Kosasih, E
Brintrup, A
Publication Date
2022Journal Title
IFAC-PapersOnLine
ISSN
2405-8963
Publisher
Elsevier BV
Type
Article
This Version
AM
Metadata
Show full item recordCitation
Kosasih, E., & Brintrup, A. (2022). Towards Digital Supply Chain Risk Surveillance. IFAC-PapersOnLine https://doi.org/10.1016/j.ifacol.2022.10.084
Abstract
In this paper, we define and conceptualize the emerging practice of “Digital Supply Chain Surveillance (DSCS)” as
the proactive monitoring of digital data that allows firms to track, manage, and analyze information related to a supply chain
network without needing the explicit consent of firms involved in the supply chain. After reviewing approaches to surveillance
challenges that have been raised, we find that several approaches have been proposed, in particular for risk management, which
have made use of Artificial Intelligence (AI) as a key enabler. By interconnecting surveillance data sources and systems,
appropriate AI techniques can make surveillance easier, larger scale and possibly more informative, whilst at the same time
bringing about a number of technical, ethical and managerial challenges with it. We discuss these challenges, highlighting the
need to integrate multiple surveillance data and insights, the potential for hidden bias and the consequent need for AI skills to
prevent bias, and the need to design guidance for embedding DSCS insights into business processes ethically, and transparently.
Identifiers
External DOI: https://doi.org/10.1016/j.ifacol.2022.10.084
This record's URL: https://www.repository.cam.ac.uk/handle/1810/337047
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Publisher's own licence
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