北京邮电大学学报(社会科学版) ›› 2013, Vol. 15 ›› Issue (2): 39-46.

• 电子商务 • 上一篇    下一篇

基于网络用户体验的客户分类及行为预测

  

  1. (北京邮电大学 经济管理学院, 北京100876)
  • 出版日期:2013-04-30 发布日期:2023-03-27

Customer Segmentation and Behavior Prediction Based on Online Customer Experience

  1. (School of Economics and Management, Beijing University of Posts and Telecommunications,
    Beijing 100876, China)
  • Online:2013-04-30 Published:2023-03-27

摘要:

结合用户体验理论和技术接受模型,对不同网络用户是否有不同的体验诉求、不同顾客群的网络用户在使用行为上有何不同这两个问题进行实证研究。通过问卷调查法收集数据,运用SPSS软件和Amos软件对数据进行聚类分析、结构方程模型分析对研究问题进行验证和探讨。实证分析结果表明:① 根据网络用户的体验诉求可以将用户分为六类:全面型网络用户、享乐型网络用户、行动导向型网络用户、智力导向型网络用户、内在驱动型网络用户、功利导向型网络用户;② 不同集群间的消费者行为不同。

关键词: 网络用户体验, 用户行为, 使用意向, 技术接受模型

Abstract:

Based on the theory of online user experience and technology acceptance model, the following questions are tried to address: ① Do different network users prefer different experiential appeals? ② What are the differences of user behavior among various experiential user groups? With the data collected through questionnaire, SPSS and Amos are used to conduct cluster analysis and structural equation model to investigate the research questions. The study finds that network users can be segmented into six groups, i.e., holistic users, hedonistic users, action-oriented users, intelligence-oriented users, inner-directed users and utilitarian users. Moreover, the users’ behaviors are different among the six user groups.

Key words: online user experience, user behavior, usage intention, technology acceptance model

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