Global Sourcing Platform With Supplier Ranking and Tendering Function: A Systematic Literature Review

This literature review synthesizes research on supplier selection and evaluation for procurement decision support systems (DSS), emphasizing practical, explainable approaches implementable in business analytics tools (e.g., Excel/Power BI) and compatible with tendering workflows. The reviewed studies show that multi-criteria decision-making (MCDM) dominates DSS-oriented decisions, typically pairing weighting methods (AHP, BWM, SWARA or entropy) with ranking techniques (TOPSIS, VIKOR, COPRAS) to enable transparent, auditable scoring and award decisions. While fuzzy and optimisation-heavy models can better represent uncertainty and portfolio constraints, they often reduce implementability and practitioner acceptance. Across the literature, governance features, traceable criteria, weights, and decision rationale, are increasingly emphasised, alongside sustainability and risk criteria linked to ethical conduct and CSR. Based on these findings, we propose a typology that maps methods to data requirements and implementation effort, and we outline research directions on integrating behavioural factors and multi-stakeholder settings to strengthen robustness and adoption in real procurement.