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Volume 3,Issue 9

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26 October 2025

Business Analytics in Strategic Sourcing and Supplier Performance Management within Modern Supply Chains

Xinran Wang1
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1 Lingnan University, Hong Kong 999077, China
LNE 2025 , 3(9), 154–160; https://doi.org/10.18063/LNE.v3i9.974
© 2025 by the Author. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

The rapid globalization and digital transformation of modern supply chains have elevated the strategic importance of business analytics in procurement and supplier management. As a core decision-support capability, business analytics enables organizations to optimize purchasing decisions, enhance vendor control, and strengthen overall supply chain resilience. Drawing on recent academic research and industry practices, this paper provides a systematic examination of the value of business analytics in improving procurement strategies, increasing supplier management efficiency, and supporting resilient supply chain operations. The findings indicate that the integration of advanced technologies, such as artificial intelligence, predictive analytics, and real-time data monitoring, can significantly reduce procurement costs while promoting transparency and sustainability across the sourcing process. Through the analysis of representative cases and key performance indicator (KPI) frameworks, this study demonstrates how business analytics is reshaping the procurement ecosystem in contemporary enterprises and offers insights to guide future research and practical advancements in this field.

Keywords
Business analysis
Strategic procurement
Supplier performance management
Supply chain resilience
Data-driven decision-making
References

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