首页> 外文会议>Hawaii International Conference on System Sciences >Big Data Analytics-enabled Supply Chain Transformation: A Literature Review
【24h】

Big Data Analytics-enabled Supply Chain Transformation: A Literature Review

机译:支持大数据分析的供应链转型:文献综述

获取原文

摘要

Despite the rising potential of big data, a few studies have been conducted to examine it in the supply chain field. This article gives an overview of big data use in this field and underlines its potential role in the supply chain transformation by leading a systematic literature review. The results show that the big data analytics techniques can be categorized into three types: descriptive, predictive, and prescriptive and these in turn influence supply chain processes and creates value. We conclude by highlighting future research directions.
机译:尽管存在大数据的潜力上升,但已经进行了一些研究以检查供应链领域。本文概述了该领域的大数据使用,并强调了通过领导系统文献综述来强调其在供应链转换中的潜在作用。结果表明,大数据分析技术可分为三种类型:描述性,预测和规定性,这些方法反过来影响供应链过程并产生价值。我们通过突出未来的研究方向来得出结论。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号