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@article{194266,
        author = {Nayanthara K T and Parvathy S Vimal},
        title = {Developing a supply chain resilience index using risk, ESG and supplier concentration metrics: Evidence from Bloomberg supply chain data},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {3136-3142},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194266},
        abstract = {In the current global business environment, supply chains are increasingly exposed to disruptions arising from supplier risk, environmental challenges, and excessive supplier concentration. This study develops a quantitative framework to measure supply chain resilience using prominent supplier data derived from Bloomberg Supply Chain Analysis. A Supply Chain Resilience Index (SCRI) is constructed by integrating supplier risk, ESG performance, and supplier concentration metrics. Using Amazon (AMZN) as an illustrative example, supplier-level data including default risk grades, ESG scores, and supplier relationship sizes were normalized and combined using weighted index construction. Findings indicate that lower supplier risk, higher ESG performance, and reduced supplier concentration significantly improve supply chain resilience. The overall SCRI of 0.81 indicates high resilience, confirming a well-structured and stable supplier network.},
        keywords = {Supply Chain Resilience, Supplier Risk, ESG Performance, Supplier Concentration, Bloomberg Supply Chain Analysis, Operations Management},
        month = {March},
        }