互联网
技术接受模型
网上购物
在线和离线
计算机科学
广告
互联网用户
万维网
业务
互联网隐私
可用性
人机交互
操作系统
作者
Tony Donghui Ahn,Seewon Ryu,Ingoo Han
标识
DOI:10.1016/j.elerap.2004.05.001
摘要
Abstract Internet shopping mall has the dual nature of Web-based application system and traditional shopping mall. This paper explores online and offline features of Internet shopping malls and their relationships with the acceptance behaviors of customers. The results from a Web survey of 932 users show that the technology acceptance model (TAM) is valid in predicting the acceptance of the Internet shopping malls and that online and offline features have positive effects on the user acceptance. Both online and offline features have greater effects on the usefulness, attitude, and intention to use than either online or offline features separately. This study provides a domain-specific, integrative approach in evaluating the quality and antecedents of user acceptance for Internet shopping malls.
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