大数据背景下网络购物的物流增值研究被引量：16

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

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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.

作者张夏恒马天山

机构地区长安大学经济与管理学院

出处《当代经济管理》 CSSCI 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)

关键词物流工程增值大数据网络购物预测相关性 Logistics Engineering value-adding big-data online-shopping relativity reverse logistics

分类号 F724 [经济管理—产业经济]

作者简介张夏恒（1982-）,男,山东济宁人,长安大学经济与管理学院博士研究生,中级经济师,研究方向为物流管理与电子商务。马天山（1956-）,男,山西沁源人,长安大学经济与管理学院教授,博士,博士生导师,研究方向为物流管理.

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