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Practice paper

Effects of disruption in decision making: Considering the use of evolving artificial intelligence in the context of ongoing supply chain disruption

Anthony J. Scriffignano
Journal of Supply Chain Management, Logistics and Procurement, 7 (4), 326-339 (2025)
https://doi.org/10.69554/LBJX3542

Abstract

The evolution of integrated global value chains of interacting customers, vendors and other counterparties has been accelerated in modern times in ways that are at times well understood and at other times surprising, creating both unprecedented opportunity and ominous existential risk. Recent supply chain disruptions have been exacerbated by the phenomenon of ongoing unexpected or poorly anticipated events that disrupt prior efforts to restore stability, causing a sort of disrupted disruption that is pernicious and extremely difficult to address. This paper presents a framework for considering response to disruption, ideas for adoption of artificial intelligence (AI) and related technology, and approaches to leadership mindsets that are valuable in creating resilient organisational approaches to ongoing disruption. The interconnectedness of enterprise systems, especially in the context of the Internet of Things (IoT), autonomous devices and related technologies, has brought about a presumption that systems and processes are connected within and among industries. Blockchain, ubiquitously discoverable and low-cost or free Internet-based services, and the overall democratisation of data and technology have contributed to the interconnected nature of integrated value chains. Against this backdrop of interconnectedness, there have been ongoing sources of disruption that suggest significant challenges to organisational resilience. These disruptions affect cost of goods, time to deliver products and services, resource availability and present challenges to a shifting and complex regulatory environment. Global pandemic, nation-state activities, large-scale cyberattacks and poorly anticipated use and misuse of emerging AI capabilities have all contributed to disruption in industries that was in many instances poorly anticipated and enabling of extreme existential threat. The effects of responding to disruption, and having those responses interrupted by yet other disruption that occurs during the original response, has produced at times poorly executed efforts, loss of opportunity and increased exposure to various risks. The challenge for leaders in modern integrated value chains is to know enough to be appropriate early responders and thus maximise organisational benefit, while meeting the new challenges presented by the ongoing climate of disruption. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Keywords: artificial intelligence; AI; generative AI; responsible AI; technology disruption; data science; supply chain; value chain; risk; Internet of Things; malfeasance; cyberthreats; anomaly detection; behavioural analytics; fraud; governance

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Author's Biography

Anthony J. Scriffignano , PhD, is a Distinguished Fellow and member of the Loomis Innovation Council of The Stimson Center, a non-profit, non-partisan Washington, DC think tank that aims to enhance international peace and security through analysis and outreach. He is an internationally recognised data scientist with experience spanning over 40 years in multiple industries and domains, including product and process manufacturing in the context of enterprise resource planning (ERP) and supply chain management. He has been awarded lifetime APICS CPIM certification from the Association for Supply Chain Management (ASCM). He has extensive background in artificial intelligence (AI) and advanced algorithms, leveraging that background as primary inventor on numerous patents worldwide. He was recognised as the U.S. Chief Data Officer of the Year 2018 by the CDO Club, the world’s largest community of C-suite digital and data leaders. He has also served as a member of the OECD Network of Experts on AI working group on implementing trustworthy AI, focused on benefiting people and planet. He has served as a commissioner for the Atlantic Council, most recently contributing to a report on the Geopolitical Impacts of New Technologies and Data. He is routinely invited to provide thought leadership for senior executives and high-level government officials globally. Anthony has briefed the U.S. National Security Telecommunications Advisory Committee and contributed to three separate reports to the President: on big data analytics, emerging technologies strategic vision, and Internet and communications resilience. He has provided expert advice on private sector data officers to a group of state Chief Data Officers and the White House Office of Science and Technology Policy. He has also served as a forum panellist and keynote speaker at major world events. Anthony serves on various advisory committees in the public sector, private sector and academia. He is considered an expert on emerging trends in AI and advanced analytics, multilingual challenges to semantic interpretation of unstructured information, and anomaly detection in the context of disruption and malfeasance.

Citation

Scriffignano, Anthony J. (2025, June 1). Effects of disruption in decision making: Considering the use of evolving artificial intelligence in the context of ongoing supply chain disruption. In the Journal of Supply Chain Management, Logistics and Procurement, Volume 7, Issue 4. https://doi.org/10.69554/LBJX3542.

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cover image, Journal of Supply Chain Management, Logistics and Procurement
Journal of Supply Chain Management, Logistics and Procurement
Volume 7 / Issue 4
© Henry Stewart
Publications LLP

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