The measurement of end-user computing satisfaction
MIS Quarterly
The measurement of user information satisfaction
Communications of the ACM
ICIS '00 Proceedings of the twenty first international conference on Information systems
AIMQ: a methodology for information quality assessment
Information and Management
Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics
Information Systems Research
The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach
Information Systems Research
Virtual Community Success: A Uses and Gratifications Perspective
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 07
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
Journal of Management Information Systems
Understanding information systems continuance: The case of Internet-based learning technologies
Information and Management
Enquiry-based learning: exploring the potential of virtual worlds (SecondLife)
International Journal of Technology Enhanced Learning
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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.