Open AccessRETRACTED: Management Innovations Research of the Logistics Enterprises Based on the Big Data Environment
Author(s) -
Wang Jin,
Jianjun Yang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1616/1/012010
Subject(s) - big data , business , identification (biology) , integrated logistics support , logistics management , control (management) , process management , humanitarian logistics , knowledge management , computer science , data mining , botany , artificial intelligence , biology
In the operation of logistics enterprises, both internal management and external operation will produce a lot of data. It can be effectively used as the information assets of enterprises and the guidance for enterprise management optimization, cost control, efficiency enhancement, risk identification and avoidance, which is of great significance to the future of enterprises. Big data with its advantages is different from traditional data processing. It can be combined with management innovation of logistics enterprises to effectively optimize the allocation of logistics enterprises resources. The paper mainly explores the direction of the combination of big data and logistics enterprise management and innovative measures.