Abstract
Amid escalating geopolitical, environmental, and digital uncertainties, organisations must reframe procurement strategies to address an increasingly complex and interconnected risk landscape. This paper critically examines how supplier evaluation and monitoring practices can be restructured by integrating risk intelligence and decision-support methods grounded in Information Systems. Drawing on a narrative literature review, the study identifies emerging practices based on Business Analytics, Artificial Intelligence (which can enhance decision-making when supported by high-quality data), and Multi-Criteria Decision-Making techniques, including fuzzy logic models. It proposes the Resilience-Oriented Supplier Management Cycle, a framework that combines internal and external data, adapts to organisational analytical maturity, and promotes more resilient and sustainable procurement decisions. The model offers both theoretical and practical contributions to advancing supplier management in complex, high-risk environments.
Recommended Citation
Costeira, André and Amaro, Ana Cristina, "Risk-Intelligent Supplier Evaluation: An Adaptive Architecture for Resilient and Sustainable Decision-Making" (2025). CAPSI 2025 Proceedings. 18.
https://aisel.aisnet.org/capsi2025/18