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Sustainable supply chain management under big data: a bibliometric analysis

机译:在大数据下可持续供应链管理:一伯测定分析

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Purpose This study aims to provide a literature review and bibliometric analysis of sustainable supply chain management using big data. We reviewed the literature on sustainable supply chain management under big data from 2012 to 2019 and extracted 777 articles. Design/methodology/approach We conducted quantitative analysis and data network visualization of the chosen literature, including authors, journals, countries, research institutions and citations. Findings We discovered that the development of this interdisciplinary field has gained increasing popularity among researchers around the world, such as China and the US publishing the most articles and Western states having more cooperation, which indicates this research topic is growing in significance globally. Originality/value Scientific and technological revolutions such as big data have been incorporated in various industries. Modern supply chain management has also been combined with the advances in data science to achieve sustainability goals. No studies have reviewed the sustainable supply chain management based on big data. This study fills this gap.
机译:目的本研究旨在通过大数据对可持续供应链管理进行文献综述和文献计量分析。我们回顾了2012年至2019年大数据下可持续供应链管理的相关文献,并摘录了777篇文章。设计/方法/方法我们对所选文献进行了定量分析和数据网络可视化,包括作者、期刊、国家、研究机构和引文。研究结果我们发现,这一跨学科领域的发展在世界各地的研究者中越来越受欢迎,例如中国和美国发表的文章最多,西方国家有更多的合作,这表明这一研究课题在全球范围内的重要性正在增加。创意/价值大数据等科技革命已经融入到各个行业。现代供应链管理也与数据科学的进步相结合,以实现可持续性目标。没有研究对基于大数据的可持续供应链管理进行过回顾。这项研究填补了这一空白。

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