Please use this identifier to cite or link to this item: https://doi.org/10.1016/S1071-5819(03)00087-9
DC FieldValue
dc.titleEvaluating information accessibility and community adaptivity features for sustaining virtual learning communities
dc.contributor.authorTeo, H.-H.
dc.contributor.authorChan, H.-C.
dc.contributor.authorWei, K.-K.
dc.contributor.authorZhang, Z.
dc.date.accessioned2013-07-11T10:11:22Z
dc.date.available2013-07-11T10:11:22Z
dc.date.issued2003
dc.identifier.citationTeo, H.-H., Chan, H.-C., Wei, K.-K., Zhang, Z. (2003). Evaluating information accessibility and community adaptivity features for sustaining virtual learning communities. International Journal of Human Computer Studies 59 (5) : 671-697. ScholarBank@NUS Repository. https://doi.org/10.1016/S1071-5819(03)00087-9
dc.identifier.issn10715819
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/42520
dc.description.abstractVirtual communities have been identified as the "killer applications" on the Internet Information Superhighway. Their impact is increasingly pervasive, with activities ranging from the economic and marketing to the social and educational. Despite their popularity, little is understood as to what factors contribute to the sustainability of virtual communities. This study focuses on a specific type of virtual communities - the virtual learning communities. It employs an experiment to examine the impact of two critical issues in system design - information accessibility and community adaptivity - on the sustainability of virtual learning communities. Adopting an extended Technology Acceptance Model, the experiment exposed 69 subjects to six different virtual learning communities differentiated by two levels of information accessibility and three levels of community adaptivity, solicited their feelings and perceptions, and measured their intentions to use the virtual learning communities. Results indicate that both information accessibility and community adaptivity have significant effects on user perceptions and behavioural intention. Implications for theory and practice are drawn and discussed. © 2003 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S1071-5819(03)00087-9
dc.sourceScopus
dc.subjectCommunity adaptivity
dc.subjectCommunity sustainability
dc.subjectInformation accessibility
dc.subjectSense of belonging
dc.subjectTechnology acceptance model
dc.subjectVirtual learning community
dc.typeArticle
dc.contributor.departmentINFORMATION SYSTEMS
dc.description.doi10.1016/S1071-5819(03)00087-9
dc.description.sourcetitleInternational Journal of Human Computer Studies
dc.description.volume59
dc.description.issue5
dc.description.page671-697
dc.description.codenIHSTE
dc.identifier.isiut000186386100006
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