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Big Data Analytics for Supply Chain Management: A Literature Review and Research Agenda

机译:供应链管理的大数据分析:文献综述和研究议程

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摘要

The main objective of this study is to provide a literature review of big data analytics for supply chain management. A review of articles related to the topics was done within SCOPUS, the largest and citation database of peer-reviewed literature. Our search found 17 articles. The distribution of articles per year of publication, subject area, and affiliation, as well as a summary of each paper are presented. We conclude by highlighting future research directions where the deployment of big data analytics is likely to transform supply chain management practices.
机译:这项研究的主要目的是为供应链管理提供有关大数据分析的文献综述。 SCOPUS是与该主题相关的文章的综述,SCOPUS是经过同行评审的最大的引用文献数据库。我们的搜索找到17篇文章。列出了每年出版的文章分布,主题领域和隶属关系,以及每篇论文的摘要。最后,我们着重强调未来的研究方向,其中大数据分析的部署可能会改变供应链管理实践。

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