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Baryannis, G., Dani, S., & Antoniou, G. (2019a). Predicting Supply Chain Risks Using Machine Learning: The Trade-Off between Performance and Interpretability. Future Generation Computer Systems, 101, 993-1004.
https://doi.org/10.1016/j.future.2019.07.059

has been cited by the following article:

• TITLE: The Intersection of Strategic Sourcing and Artificial Intelligence: A Paradigm Shift for Modern Organizations

  AUTHORS: Prajkta Waditwar

  KEYWORDS: Strategic Sourcing, Artificial Intelligence, Procurement, Supply Chain, Cost Optimization, Supplier Management, Risk Mitigation, Data Analytics

  JOURNAL NAME: Open Journal of Business and Management, Vol.12 No.6, November 7, 2024

  ABSTRACT: In the contemporary business landscape, organizations are increasingly seeking ways to optimize procurement operations, reduce costs, and maintain competitive advantages. Strategic Sourcing, the process of analyzing an organization’s procurement spend and establishing long-term partnerships with key suppliers, has long been an essential approach for achieving these goals. However, with the advent of Artificial Intelligence (AI), a powerful synergy is emerging. This paper explores how the combination of Strategic Sourcing and AI can transform procurement processes, driving significant improvements in efficiency, cost management, risk mitigation, and supplier relationships. Through case studies and industry examples, this research outlines the benefits and challenges of integrating AI with Strategic Sourcing, offering a roadmap for organizations aiming to harness this technological advantage.