Analysis of the Current Status, Challenges, and Countermeasures of Supply Chain Management in Chinese Enterprises

This article analyses the current state and challenges of supply chain man-age-ment in China, highlighting the insufficient penetration of digital technolo-gy, the need to improve safety and sustainability, the difficulty of internal col-labo-ration within enterprises, and the opportunities and challenges posed by the application of artificial intelligence. Data heterogeneity, information securi-ty risks, partner credit shortages and technological management lag are hinder-ing supply chain efficiency. While artificial intelligence is driving transfor-mation, it is also disrupting traditional management. The article proposes coun-termeas-ures to overcome data and technology bottlenecks, strengthen infor-mation se-curity, build trust and cooperation, promote green supply chains, and encourage the rational application of artificial intelligence. These strategies will help en-terprises achieve digitalisation, intelligence and green transformation, enhance their competitiveness in the global market, and provide theoretical and practical guidance for management innovation and efficiency improvement.

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Publication Details

Journal
Economics & Business Management
Published
2025-06-24
DOI
https://doi.org/10.63313/ebm.2015
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Analysis of the Current Status, Challenges, and Countermeasures of Supply Chain Management in Chinese Enterprises

L. Li, Bo Chen
Economics & Business Management
AI in Service Interactions
article

Analysis of the Current Status, Challenges, and Countermeasures of Supply Chain Management in Chinese Enterprises

L. Li, Bo Chen
article en

Abstract

This article analyses the current state and challenges of supply chain man-age-ment in China, highlighting the insufficient penetration of digital technolo-gy, the need to improve safety and sustainability, the difficulty of internal col-labo-ration within enterprises, and the opportunities and challenges posed by the application of artificial intelligence. Data heterogeneity, information securi-ty risks, partner credit shortages and technological management lag are hinder-ing supply chain efficiency. While artificial intelligence is driving transfor-mation, it is also disrupting traditional management. The article proposes coun-termeas-ures to overcome data and technology bottlenecks, strengthen infor-mation se-curity, build trust and cooperation, promote green supply chains, and encourage the rational application of artificial intelligence. These strategies will help en-terprises achieve digitalisation, intelligence and green transformation, enhance their competitiveness in the global market, and provide theoretical and practical guidance for management innovation and efficiency improvement.

Economics & Business ManagementVol. 2(1)
Southwest Petroleum University (CN)
Openalex Percentile: Top 92%
AI in Service Interactions
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