Strategies for Empowering Supply Chain Risk Management with Big Data

Jingwen Zhang

doi:10.54254/2754-1169/2025.21150

Research Article

Open access

Published on 27 February 2025

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Zhang,J. (2025). Strategies for Empowering Supply Chain Risk Management with Big Data. Advances in Economics, Management and Political Sciences,167,50-56.

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Strategies for Empowering Supply Chain Risk Management with Big Data

Jingwen Zhang *^,1,

¹ Tianjin University of Science and Technology, Tianjin, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2754-1169/2025.21150

Abstract

With the rapid development of big data technology, supply chain risk management is facing unprecedented opportunities and challenges. Big data can not only provide accurate risk prediction and real-time monitoring but also reveal potential supply chain risks through data mining and analysis, so as to help enterprises deal with and avoid risks in advance. This study aims to explore the strategy of supply chain risk management under the power of big data and analyze how big data can effectively identify external and internal risks in the supply chain, especially in the uncertain economic environment and global market, how to improve the transparency, adaptability and risk prevention and control level of the supply chain through big data technology. This study also reveals some problems existing in the process of big data enabled supply chain risk management, such as data leakage, lack of technical capacity, information asymmetry, etc., and puts forward corresponding solutions. Finally, the research shows that supply chain risk management enabled by big data can not only enhance supply chain stability but also provide enterprises with effective risk response solutions and promote the intelligent development of supply chain management.

Keywords

Big Data, Supply Chain Management, Risk Management, Credit Risk

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Cite this article

Zhang,J. (2025). Strategies for Empowering Supply Chain Risk Management with Big Data. Advances in Economics, Management and Political Sciences,167,50-56.

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About volume

Volume title: Proceedings of the 4th International Conference on Business and Policy Studies

Conference website: https://2025.confbps.org/

ISBN：978-1-83558-989-2(Print) / 978-1-83558-990-8(Online)

Conference date: 20 February 2025

Editor：Canh Thien Dang

Series: Advances in Economics, Management and Political Sciences

Volume number: Vol.167

ISSN：2754-1169(Print) / 2754-1177(Online)

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