人工智能对中国纺织服装企业供应链韧性影响研究OA
Research on the impact of artificial intelligence on the supply chain resilience of China's textile and apparel enterprises
为探究人工智能对我国纺织服装企业供应链韧性的影响,使用2010年—2024年中国纺织服装上市企业面板数据,运用文本分析法对纺织服装企业人工智能水平进行测度,并采用熵值法从预防能力、适应能力与恢复能力3个方面对纺织服装企业供应链韧性水平进行评估,在此基础上检验了人工智能对我国纺织服装企业供应链韧性的影响效应.结果表明:我国纺织服装企业人工智能水平发展经历了缓慢增长、快速上升、短暂波动下降及再次回升4个阶段;纺织服装企业供应链韧性水平整体呈现快速上升、波动下降后趋于稳定的变化趋势;人工智能可显著提升纺织服装企业供应链韧性,且这一提升效应主要通过增强供应链适应能力和恢复能力来实现.
To investigate the impact of artificial intelligence on the supply chain resilience of China's textile and apparel enterprises,the panel data of China's textile and apparel listed enterprises from 2010 to 2024 were used,the artificial intelligence level of these enterprises was measured by using textual analysis,while their supply chain resilience was assessed from three dimensions—preventive capability,adaptive capability and recovery capability through the entropy method.On this basis,the effect of artificial intelligence on the supply chain resilience of China's textile and apparel enterprises was examined.The results indicated that the development of artificial intelligence in China's textile and apparel enterprises had undergone four stages:slow growth,rapid rise,a brief period of fluctuation and decline,and a subsequent recovery.The overall supply chain resilience of textile and apparel enterprises showed a trend of rapid improvement,followed by fluctuating decline and eventual stabilization.Artificial intelligence could significantly enhance the supply chain resilience of textile and apparel enterprises,and this improvement effect was mainly achieved by strengthening the adaptability and recovery capacity of the supply chain.
张可;张立杰
新疆大学经济与管理学院,新疆 乌鲁木齐,830046新疆大学经济与管理学院,新疆 乌鲁木齐,830046
轻工纺织
人工智能纺织服装企业供应链韧性测度文本分析
artificial intelligencetextile and apparel enterprisesupply chain resiliencemeasurementtext analysis
《棉纺织技术》 2026 (10)
21-29,9
新疆人才发展基金项目(XJRC-2025-KJ-PY-KJLJ-045)新疆自治区重大科技专项(2022A01008-1)新疆大学"优秀博士研究生科研创新项目"(XJU2024BS015)
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