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近年来,供应链管理实践中产生的数据量呈指数增长,大数据分析在供应链中存在巨大的发展空间,然而,当前对于供应链中大数据分析应用还缺乏深入研究。通过相关文献梳理,文章对国外供应链中大数据应用进行深入探析,结合国内外研究成果回顾了不同行业供应链中的大数据应用及其商业价值,鉴于已有研究,对未来该领域研究进行大胆展望。文章将丰富国内供应链中的大数据分析应用理论,为学术界和实务界在供应链管理各个方面实施大数据分析应用提供指导。
Abstract：In recent years,the amount of data generated in the supply chain management practice has shown exponential growth. There is great room for the development of big data analysis in the supply chain. However,there is little research on the application of big data analysis in the current supply chain. Through studying relevant literature,this paper makes an in-depth analysis of the application of big data in foreign supply chains,reviews the application of big data in different industries and their commercial value based on the research results at home and abroad. Based on the existing research,it boldly predicts the future research direction in this field. This research will enrich the application theory of big data analysis in domestic supply chain and provide guidance for academic and practical circles to implement big data analysis in different aspects of supply chain management.
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(1)数据资料来源于中国产业信息网(www.chyxx.com)中“2017-2023年中国大数据金融行业深度分析及投资风险评估报告”摘要,出版单位:智妍咨询集团,报告编号:R554628,出版日期:2017年8月。
基本信息:
DOI：10.14134/j.cnki.cn33-1336/f.2018.09.003
中图分类号:F274
引用信息:
[1]陆杉,陈宇斌.供应链中大数据分析应用研究综述[J].商业经济与管理,2018,No.323(09):27-35.DOI:10.14134/j.cnki.cn33-1336/f.2018.09.003.
基金信息:
国家社会科学基金项目“基于互联网信息的食品安全风险评估研究”(15BGL180); 湖南省哲学社会科学项目“湖南省农业产业链绿色化创新发展问题研究”(17YBA258)
2018-09-30
2018-09-30
2018-09-30