Big data analytics and application for logistics and supply chain management

被引:167
作者
Govindan, Kannan [1 ]
Cheng, T. C. E. [2 ]
Mishra, Nishikant [3 ]
Shukla, Nagesh [4 ]
机构
[1] Univ Southern Denmark, Ctr Sustainable Supply Chain Engn, Dept Technol & Innovat, Odense, Denmark
[2] Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Hong Kong, Hong Kong, Peoples R China
[3] Univ Hull, Hull Business Sch, Kingston Upon Hull, N Humberside, England
[4] Univ Technol Sydney, Fac Engn & Informat Technol, Sch Syst Management & Leadership, Sydney, NSW 2007, Australia
关键词
Big data analytics; Supply chain management; Logistics; PREDICTIVE ANALYTICS; DATA SCIENCE; DESIGN; ERA;
D O I
10.1016/j.tre.2018.03.011
中图分类号
F [经济];
学科分类号
02 ;
摘要
This special issue explores big data analytics and applications for logistics and supply chain management by examining novel methods, practices, and opportunities. The articles present and analyse a variety of opportunities to improve big data analytics and applications for logistics and supply chain management, such as those through exploring technology-driven tracking strategies, financial performance relations with data driven supply chains, and implementation issues and supply chain capability maturity with big data. This editorial note summarizes the discussions on the big data attributes, on effective practices for implementation, and on evaluation and implementation methods.
引用
收藏
页码:343 / 349
页数:7
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