标题:
大数据下物流园区间协作研究综述A Review about Cooperation between Logistics Parks Based on Big Data
作者:
陈亚男, 陈雅倩, 周兴建
关键字:
大数据, 物流园区, 产业集群, 集群式供应链Big Data, Logistics Park, Industrial Cluster, Cluster Supply Chain
期刊名称:
《Business and Globalization》, Vol.4 No.1, 2016-02-24
摘要:
物流园区的构成实质为物流产业集群，本文从供应商-客户关系驱动产业集群协作、网络式协同效应驱动产业集群协作和互联网经济驱动产业集群协作三个层面对物流园区间协作关系的演进进行综述。进而从大数据的视角，分析物流大数据下的供应链协作关系，同时以集群式供应链为背景，综述不同物流产业集群间跨供应链协作方式与途径。在大数据技术下，物流园区间合作越来越常规化，对集群式供应链间的横向跨链协作进行系统的、深入的研究是一个必然趋势。
The essence of logistics park is logistics industry cluster. There are three driving forces of the lo-gistics industry cluster: supplier-customer relationship, network synergistic effect, and Internet economy. Then the paper makes a review of the evolution of the collaboration in logistics parks. Moreover, from the perspective of big data, the paper analyzes the collaboration in the supply chains, and summarizes the ways and means of cross supply chain collaboration among different logistics industry clusters based on the cluster supply chain. With big data technology, the co-operation between the logistics parks is more and more routine, and the study of cross-supply- chain collaboration in the cluster supply chain system is an inevitable trend.