Measuring the Environmental Maturity of the Supply Chain Finance: A Big Data-Based Multi-Criteria Perspective

This paper presents a strategic roadmap to handle the issue of resource allocation among green supply chain management (GSCM) practices. complex for stakeholders highlights need application finance (SCF). proposes five Vs big data (value, volume, velocity, variety, and veracity) as platform determining role GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed prioritize by their roles SCF. technique order preference similarity ideal solution (TOPSIS) then applied evaluate on basis Vs. In addition, interpretive structural modeling (ISM) used visualize optimum implementation outcome is hybrid self-assessment model that measures environmental maturity coherent three multicriteria decision-making techniques. development Basic Readiness Index (BRI), Relative (RRI), Strategic Matrix Tool (SMT) creates potential further improvements through integration RRI scores ISM results. practical tool decision-makers.