Suppr超能文献

虚拟社区满意度和忠诚度的前因:竞争理论的实证检验。

Antecedents of virtual community satisfaction and loyalty: an empirical test of competing theories.

作者信息

Lin Hsiu-Fen

机构信息

Department of Shipping and Transportation Management, National Taiwan Ocean University, Taiwan, Republic of China.

出版信息

Cyberpsychol Behav. 2008 Apr;11(2):138-44. doi: 10.1089/cpb.2007.0003.

Abstract

The rapid growth of virtual communities (VCs) on the Internet raises important research questions regarding the antecedents of satisfaction and loyalty in VCs. This study compared the technology acceptance model (TAM), Seddon Information Systems Success Model (Seddon model), and an integrated model (combining the TAM and Seddon model) to examine which model best helps to predict user satisfaction with VCs. Using a structural equation model, data collected from 198 community members were used to compare the three models in terms of overall model fit, explanatory power, and path significance. The findings show that two TAM components (perceived usefulness and ease of use) are determinants of user satisfaction with VCs. This study also found the influence of quality-perception dimensions (e.g., system and information quality) on user satisfaction to be significant. Additionally, this study found general support for user satisfaction as a determinant of loyalty in VCs. Finally, an integrated model, combining the TAM and Seddon model, provided better explanatory power than either the TAM or the Seddon model alone. Finally, this study discusses the implications of these findings and offers directions for future research.

摘要

互联网上虚拟社区(VC)的迅速发展引发了有关虚拟社区满意度和忠诚度影响因素的重要研究问题。本研究比较了技术接受模型(TAM)、西登信息系统成功模型(西登模型)以及一个整合模型(结合了TAM和西登模型),以检验哪种模型最有助于预测用户对虚拟社区的满意度。使用结构方程模型,从198名社区成员收集的数据被用于在整体模型拟合度、解释力和路径显著性方面比较这三种模型。研究结果表明,TAM的两个组成部分(感知有用性和易用性)是用户对虚拟社区满意度的决定因素。本研究还发现质量感知维度(如系统和信息质量)对用户满意度的影响是显著的。此外,本研究发现普遍支持用户满意度作为虚拟社区忠诚度的决定因素。最后,一个结合了TAM和西登模型的整合模型比单独的TAM或西登模型具有更好的解释力。最后,本研究讨论了这些发现的意义,并为未来研究提供了方向。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验