摘要
物联网、云计算及大数据等技术的深度融合促进了数字经济的发展,也促进了区域智慧供应链的发展。长江经济带是连接东西部的重要区域,其智慧供应链的发展水平是判断其良性发展的重要依据。为此文章基于数字经济背景,从资源、输出和柔性三个维度构建了长江经济带智慧供应链发展水平评价体系,采用博弈论组合赋权法确定各指标权重,测算了长江经济带11省(市)2016年至2021年智慧供应链发展水平,运用系统聚类分析法和马尔科夫链统计分析方法探索了长江经济带智慧供应链的时空特征及未来发展趋势,并根据分析结果对其智慧供应链发展提出相应的建议。
The integration of technologies such as the Internet of Things,cloud computing and big data has promoted the development of the digital economy as well as the regional smart supply chain.The Yangtze River Economic Belt is an important region connecting the east and west,and the development level of its smart supply chain is an important basis for judging its benign development.Therefore,based on the background of digital economy,this paper constructs an evaluation system for the development level of intelligent supply chain in the Yangtze River Economic Belt from three dimensions of resources,output and flexibility,uses the combination weighting method of game theory to determine the weights of each index,and calculates the development level of intelligent supply chain in 11 provinces(municipalities)of the Yangtze River Economic Belt from 2016 to 2021.By using the method of systematic clustering analysis and Markov chain statistical analysis,this paper explores the spatio-temporal characteristics and future development trend of intelligent supply chain in the Yangtze River Economic Belt,and puts forward corresponding suggestions on the development of intelligent supply chain according to the analysis results.
作者
刘宇
张思宇
LIU Yu;ZHANG Si-yu(Jiangxi University of Science and Technology,Business School,Nanchang,Jiangxi 330013)
出处
《供应链管理》
2024年第1期19-30,共12页
SUPPLY CHAIN MANAGEMENT
基金
2022年江西省社会科学基金项目“江西省新能源汽车制造业供应链智慧化升级机理及对策研究”(22GL20)。
关键词
智慧供应链
博弈论组合赋权法
系统聚类分析
马尔科夫链
intelligent supply chain
combinatorial weighting method of game theory
system cluster analysis
markov chain