大数据背景下网络购物的物流增值研究  

A Study on the Logistic Value-adding of the Online-shopping under the Background of Big-data

作　　者：张夏恒[1] 马天山[1] 

机构地区：[1]长安大学经济与管理学院,陕西西安710064

出　　处：《当代经济管理》2015年第11期29-33,共5页Contemporary Economic Management

基　　金：国家自然科学基金青年项目(71401080)

摘　　要：随着网络购物的飞速发展,物流成为主要的制约瓶颈。大数据时代的到来,带来思维方式的冲击,也为物流增值服务提供了新视角。通过数据库的建立、大数据的分析和处理,建立物流需求细分,结合相关性分析,满足消费者各类物流细分需求,并及时有效的提供各类预测,降低逆向物流的发生概率,真正实现物流增值的目的。Logistics has become a bottleneck of the rapid development of the online-shopping. The coming of big-data times brings shocks to the thinking mode, but also provides a new perspective for logistics value-adding service. Through constructing database, analyzing and processing of big-data, establishing the logistics demand segments and integrating relativity analysis, customers' various logistics demands could be satisfied;various kinds of market predictions could also be timely and effectively provided; the probability of reverse logistics would be reduced, thus achieve the purpose of logistics value-adding.

关 键 词：物流工程 增值 大数据 网络购物 预测 相关性 

分 类 号：F724[经济管理—产业经济]