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  • 标题:Big Data Driven Supply Chain Management and Business Administration
  • 本地全文:下载
  • 作者:Lidong Wang ; Cheryl Ann Alexander
  • 期刊名称:American Journal of Economics and Business Administration
  • 印刷版ISSN:1945-5488
  • 电子版ISSN:1945-5496
  • 卷号:7
  • 期号:2
  • 页码:60-67
  • DOI:10.3844/ajebasp.2015.60.67
  • 出版社:Science Publications
  • 摘要:Big Data helps improve visibility throughout the supplychain, provides an integrated view of operational performance and customerinteraction and gives businesses real-time insights that help make criticaldecisions. Big Data also has a potential to yield new management principles.This paper introduces the Big Data concept, its characteristics and some majorissues of Big Data in supply chain management and business administration.These issues include supply chain and business data, Big Data benefits and itsapplications and opportunities. Methods and technology progress about Big Dataare presented in this study. General challenges of Big Data and Big Datachallenges in supply chain management and business administration are alsodiscussed.
  • 关键词:Big Data; Supply Chain Management; Business Administration; Big Data Analytics; Data Collection; Risk Management; Marketing; Consumer Services; Data Mining; Hadoop
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