Digital Transformation for Circular and Sustainable Procurement: Applying the Interpretative Structural Modelling

Mamani G.; Vera M.; Ramos E.; Fuqua D. · Proceedings of the International Symposium on Computational and Business Intelligence, ISCBI (2026) · DOI: 10.1109/iscbi69404.2026.11496118

Resumen

This study examines the relationships among key enablers that support the transition toward digital, circular, and sustainable procurement. Expert evaluations informed the development of a Structural Self-Interaction Matrix (SSIM), analyzed via Interpretive Structural Modeling (ISM) to establish a hierarchy of enabler influences. MICMAC analysis complemented these results by classifying the factors according to their driving power and dependence. The findings reveal a consistent pattern: digital transformation enablers function as primary drivers, circular procurement factors operate as intermediate connectors, and sustainability enablers emerge as the most dependent elements. This integrated approach contributes to understanding how these dimensions interact within procurement systems and offers practical insights for aligning digitalization efforts with circular and sustainability objectives.

Instituciones: Universidad Peruana de Ciencias Aplicadas