首页    期刊浏览 2025年01月22日 星期三
登录注册

文章基本信息

  • 标题:A Fuzzy Classification Model for Online Customers
  • 本地全文:下载
  • 作者:A. Meier ; N. Werro
  • 期刊名称:Informatica
  • 印刷版ISSN:1514-8327
  • 电子版ISSN:1854-3871
  • 出版年度:2007
  • 卷号:31
  • 期号:2
  • 出版社:The Slovene Society Informatika, Ljubljana
  • 摘要:Building and maintaining customer loyalty are important issues in electronic business. By providing customer services, sharing cost benefits with online customers, and rewarding the most valued customers, customer loyalty and customer equity can be improved. With conventional marketing programs, groups or segments of customers are typically constituted according to a small number of attributes. Although corresponding data values may be similar for two customers, they may fall into different classes and be treated differently. With the proposed fuzzy classification model, however, customers with similar behavior and qualifying attributes have similar membership functions and therefore similar customer values. The paper illustrates how webshops can be extended by a fuzzy classification model. This allows webshop administrators to improve customer equity, launch loyalty programs, automate mass customization and personalization issues, and refine marketing campaigns to maximize the real value of the customers.
  • 关键词:electronic business; webshop; fuzzy classification; online customer; customer relationship management
国家哲学社会科学文献中心版权所有