教師資料查詢 | 類別: 期刊論文 | 教師: 廖述賢 LIAO SHU-HSIEN (瀏覽個人網頁)

標題:Mining customer knowledge to implement online shopping and home delivery for hypermarkets
學年99
學期2
出版(發表)日期2011/04/01
作品名稱Mining customer knowledge to implement online shopping and home delivery for hypermarkets
作品名稱(其他語言)
著者Liao, Shu-Hsien; Chen, Yin-Ju; Lin, Yi-Tsun
單位淡江大學經營決策學系
出版者Kidlington: Pergamon
著錄名稱、卷期、頁數Expert Systems with Applications 38(4), pp.3982–3991
摘要With advances in modern technology, the Internet population has increased year by year globally. For young customers who consider convenience and speed as prerequisites, online shopping has become a new type of consumption. In addition, business-to-customer (B2C) home delivery markets have taken shape gradually, because virtual stores have risen and developed, e.g. mail-order, TV marketing, e-commerce. To integrate the above statements, this study combines online shopping and home delivery, and attempts to use association rules to determine unknown bundling of fresh products and non-fresh products in a hypermarket. Customers are then divided up in clusters by clustering analysis, and the catalog is design based on each of the cluster’s consumption preferences. By this method, to increase the catalogue’s attraction to customers, hypermarkets are offered an online shopping and home delivery business model for sales services and propositions. With such a model, we can expect to attract more customers open up more broad markets, and earn the higher profits for hypermarkets.
關鍵字Data mining; Association rule; Cluster analysis; On-line shopping; Home delivery; Electronic commerce; Database marketing
語言英文
ISSN0957-4174
期刊性質國外
收錄於SCI;EI
產學合作
通訊作者Liao, Shu-Hsien
審稿制度
國別英國
公開徵稿
出版型式紙本
相關連結
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