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Exploring Big Data Research: A Review of Published Articles from 2010 to 2018 Related to Logistics and Supply Chains

机译:探索大数据研究:2010年至2018年发布文章与物流和供应链相关的综述

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摘要

The emergence of industrial revolution 4.0, digital era, social media networks, ride-sharing transportation networks, video on demand, 5G network technology, and other cutting-edge technologies has transformed the current research paradigm in science into the fourth stage where "big data" is analyzed using various statistical explorations. Conversely, there are still deficiencies in scientific articles exploring "big data" in the logistics and supply chain research communities. Thus, the objective of this study was to conduct a comprehensive review of the trends and the current status of big data analytics (BDA) in the logistics and supply chain research communities. An elaborate examination was performed by analyzing the big data papers published in logistics and supply chain journals. The results have uncovered three things: the changing roles of BDA; some daunting challenges of implementing big data analytics, along with its recommended solutions; and the promising future of logistics and supply chains. All the findings would be helpful for creating a good research design and for implementing big data analytics (BDA) in the related fields.
机译:工业革命4.0,数字时代,社交媒体网络,乘车共享运输网络,视频点播,5G网络技术等尖端技术已经将当前研究范例转化为“大数据”的第四阶段“使用各种统计探索分析。相反,科学文章仍有缺陷探索物流和供应链研究社区的“大数据”。因此,本研究的目的是对物流和供应链研究社区进行全面审查趋势和大数据分析(BDA)的现状。通过分析在物流和供应链期刊上发表的大数据文件进行精心考试。结果已经揭开了三件事:BDA的作用不断变化;实现大数据分析的一些艰巨挑战,以及推荐的解决方案;和有希望的物流和供应链的未来。所有调查结果都有助于创建良好的研究设计,并在相关领域实施大数据分析(BDA)。

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