TY - JOUR
T1 - The Application of Big Data Analytics in Optimizing Logistics
T2 - A Developmental Perspective Review
AU - Yan, Zengwen
AU - Ismail, Hossam
AU - Chen, Lujie
AU - Zhao, Xiande
AU - Wang, Liang
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2019.
PY - 2019/5
Y1 - 2019/5
N2 - This paper adopts a developmental perspective to review articles and reports published in the past decade on the application of big data to the optimization of logistics. First, the evolution and features of both logistics and big data are reviewed using the systematic review method. This is followed by discussions on the implementation of big data in logistics and the optimization outcomes. The paper summarizes the four main effects of the adoption of big data in logistics: informatization; operation efficiency; service quality; and the promotion of technical upgrading.
AB - This paper adopts a developmental perspective to review articles and reports published in the past decade on the application of big data to the optimization of logistics. First, the evolution and features of both logistics and big data are reviewed using the systematic review method. This is followed by discussions on the implementation of big data in logistics and the optimization outcomes. The paper summarizes the four main effects of the adoption of big data in logistics: informatization; operation efficiency; service quality; and the promotion of technical upgrading.
KW - Big data application
KW - Big data optimization
KW - Logistics evolution
KW - Logistics optimization
UR - http://www.scopus.com/inward/record.url?scp=85097515648&partnerID=8YFLogxK
U2 - 10.1007/s42488-019-00003-0
DO - 10.1007/s42488-019-00003-0
M3 - Article
AN - SCOPUS:85097515648
SN - 2524-6356
VL - 1
SP - 33
EP - 43
JO - Journal of Data, Information and Management
JF - Journal of Data, Information and Management
IS - 1-2
ER -