Research on a Supplier Profile Method Based on Dual Carbon Preference

Operational risk is an important factor that must exist in the business processes of financial institutions. Assessing and mitigating risks is an important research direction for financial institutions. Supply chain finance is a high-quality business, but it also comes with certain risks. This article proposes a supplier profiling mechanism that leans towards the dual carbon index for the application of energy big data value-added services. This mechanism can promote green and low-carbon development while greatly reducing the negative impact of operational risks on enterprises, enabling financing companies to quickly identify and avoid risks during the operation process. This mechanism has been applied for the first time in supply chain finance, using multi-party computing methods to provide data services, and has achieved certain results in practical applications.

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Published
2024-12-13
DOI
https://doi.org/10.1145/3724154.3724361
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
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article

Research on a Supplier Profile Method Based on Dual Carbon Preference

Liangsen Wang, jinglin guo, Li Jun, X. Su
Advanced Manufacturing and Logistics Optimization
article

Research on a Supplier Profile Method Based on Dual Carbon Preference

Liangsen Wang, jinglin guo, Li Jun, X. Su
article en

Abstract

Operational risk is an important factor that must exist in the business processes of financial institutions. Assessing and mitigating risks is an important research direction for financial institutions. Supply chain finance is a high-quality business, but it also comes with certain risks. This article proposes a supplier profiling mechanism that leans towards the dual carbon index for the application of energy big data value-added services. This mechanism can promote green and low-carbon development while greatly reducing the negative impact of operational risks on enterprises, enabling financing companies to quickly identify and avoid risks during the operation process. This mechanism has been applied for the first time in supply chain finance, using multi-party computing methods to provide data services, and has achieved certain results in practical applications.

China Guodian Corporation (China) (CN)
Openalex Percentile: Top 56%
Advanced Manufacturing and Logistics Optimization
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