Understanding the Sustainability of Virtual Communities in China

Xiao Ling Jin*, Christy M K Cheung, Matthew K. O. Lee, Hua Ping Chen

*Corresponding author for this work

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    5 Citations (Scopus)

    Abstract

    The sustainability of virtual communities is determined by the extent to which users are willing to continue using the supported virtual space. Building upon the information system continuance model and the information adoption model, a research model explaining user continuance intention to use virtual communities (e.g., Web-based Bulletin Board Systems) is proposed. The proposed model was tested using an online survey with the users of a non-profit-making Bulletin Board System established by a local university in mainland China. The results suggest that satisfaction and information usefulness are the two key factors influencing users' continuance intention to use virtual communities. Satisfaction in turn is determined by information usefulness and source credibility, while information usefulness is determined by both information quality and source credibility. Surprisingly, information quality does not have any significant direct impact on user satisfaction. The findings provide important implications for both researchers and practitioners.

    Original languageEnglish
    Title of host publicationECIS 2007 Proceedings
    PublisherAssociation for Information Systems
    Pages310-321
    Number of pages12
    Publication statusPublished - Jun 2007
    Event15th European Conference on Information Systems, ECIS 2007 - St. Gallen, Switzerland
    Duration: 7 Jun 20079 Jun 2007
    https://aisel.aisnet.org/ecis2007/

    Conference

    Conference15th European Conference on Information Systems, ECIS 2007
    Country/TerritorySwitzerland
    CitySt. Gallen
    Period7/06/079/06/07
    Internet address

    User-Defined Keywords

    • Continuance Intention
    • Information Adoption
    • Information Quality
    • Information Usefulness
    • Satisfaction
    • Source Credibility
    • Virtual Communities

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