摘要
海量数据的挖掘已成为企业提高信息化管理与企业服务质量、解决信息不对称问题、促进企业发展的重要途径。跨境物流在运营过程中会产生大量的信息,挖掘这些物流信息,将其应用到跨境电商管理决策方面,促进跨境电商的发展。跨境物流的过程中涉及到各种信息,针对物流信息的动态特征,在动态聚类方法的基础上,建立了基于动态聚类的跨境电子商务物流信息匹配的框架。研究表明,基于跨境物流过程中的信息匹配,在提高跨境电商的效率、节约成本、保证客户体验等方面有显著的效果。
Cross-border logistics will produce large amount of information during a long period of operation. It is important to make use of these information to serve the operation of the enterprise,to improve efficiency,and promote the development of cross-border e-commerce. Based on different information requirement,a cross-border e-commerce logistic information matching framework based on dynamic clustering is presented through analyzing the process of cross-border logistic and the information thereof,and extracting the dynamic characteristics of logistics information,which effeitively realizes the information matching during the transmission of logistics information. Studies have shown that it has a significant effect on improving the efficiency of cross-border e-commerce, saving cost, ensuring customer experience,etc.
出处
《图书馆学研究》
CSSCI
北大核心
2018年第1期89-94,共6页
Research on Library Science
基金
福建省自然科学基金项目"基于动态聚类的跨境电子商务物流信息匹配研究"(项目编号:2016J01336)
福建省社会科学规划项目"福建省自贸区跨境电子商务物流系统效率提升机制与策略研究"(项目编号:FJ2016B090)
华侨大学高层次人才科研启动项目(项目编号:16BS309)的研究成果之一
关键词
跨境电子商务
物流
动态聚类
信息匹配
cross-border e-commerce
logistics
dynamic clustering
information matching
