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From supply chain to integrated value chain : Re-envisioning counterparty relationships in the context of AI and the convergence of disruption
This paper analyses the challenges of understanding supply chain dynamics in a modern context, including rapidly increasing amounts of data and technology and the massively interconnected nature of modern enterprises. The problems and challenges addressed include traditional areas of focus for supply chain practitioners, such as understanding changes in quality, introduction of new sources, and the impact of external events, but in the context of far more rapidly changing and continuously disrupted environments. Additionally, new challenges brought about by the availability of Artificial Intelligence, the Internet of Things, and other technologies are also considered. Using a basic scientific approach (observing the environment, asking important questions, selecting methodologies, performing empirical analysis including understanding of bias and other factors, and considering recommendations for future research), the approach presents four frames: technology, process, mindset, and people. The interconnectedness of entities, moving from the concept of supply chain to a more inclusive concept of integrated value chain (customers and vendors interacting in complex ways in an ecosystem) are considered. Recommendations are put forth regarding leadership mindset and how to think differently about the convergence of change discussed. Conclusions focus on new ways to think about integrated value chains, where complex relationships are driven as much by need and planning as by disruptive events and the introduction of new disruptive capabilities. The wider implications for leadership in such rapidly changing environments can inform not only how organizations prosper, but also a perspective on the imperative to embrace new methods and mindsets.
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Anthony J. Scriffignano PhD, is SVP/Chief Data Scientist for Dun and Bradstreet, a globally recognised provider of credit and risk information and analytics. Anthony is an internationally acclaimed data scientist with experience spanning over 35 years in multiple industries and enterprise domains, including product and process manufacturing in the context of ERP and supply chain management. He maintains APICS CPIM certification from the Association for Supply Chain Management. Anthony has extensive background in anomaly detection, computational linguistics and advanced inferential algorithms, leveraging that background as primary inventor on multiple patents worldwide. Anthony was recently recognised as the US Chief Data Officer of the Year 2018 by the CDO Club, the world’s largest community of C-suite digital and data leaders. Anthony is routinely invited to provide thought leadership for senior executives and high-level government officials globally. Recently, he briefed the US 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 also served as a forum panellist and keynote speaker at many major world events, including the World Internet Conference in China hosted by President Xi Jinping and the China Development Forum. Anthony serves on various advisory committees in government, private sector and academia. He is considered an expert on emerging trends in advanced analytics, the ‘big data’ explosion, artificial intelligence, multilingual challenges in business identity and malfeasance in commercial and public sector contexts.
CitationScriffignano, Anthony J. (2019, June 1). From supply chain to integrated value chain : Re-envisioning counterparty relationships in the context of AI and the convergence of disruption. In the Journal of Supply Chain Management, Logistics and Procurement, Volume 1, Issue 4.