User information satisfaction with a knowledge-based virtual community: An empirical investigation

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743, Vol: 5288 LNAI, Page: 123-130

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Jin, Xiao-Ling; Cheung, Christy M. K.; Lee, Matthew K. O.; Chen, Huaping
Springer Nature; Springer Berlin Heidelberg
Mathematics; Computer Science; Expectation disconfirmation theory; Information quality; User satisfaction; Virtual community
conference paper description
Virtual communities provide online social spaces for individuals to share and exchange knowledge. The value of these communities however depends on user ongoing participation. User satisfaction is one of the most crucial factors determining the continuance of using an information system. In this specific context of virtual community, the content (information) is collectively created by members in the community. It is thus important to identify factors determining user information satisfaction. A theoretical model of user information satisfaction was developed and empirically tested with 240 current users of a knowledge-based virtual community. Among the four attributes of information quality, only perceived information relevance, disconfirmation of information accuracy, disconfirmation of comprehensiveness, and disconfirmation of information relevance have significant influence on user information satisfaction. This study has raised many interesting questions. Additional theorizing and empirical investigation for a better understanding of user information satisfaction in knowledge-based virtual communities are encouraged. © 2008 Springer-Verlag Berlin Heidelberg.