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Conference Paper: A model of identity credibility in virtual communities: An elaboration likelihood model perspective

TitleA model of identity credibility in virtual communities: An elaboration likelihood model perspective
Authors
KeywordsElaboration likelihood model
Credibility
Virtual community
Mechanisms
Identity
Issue Date2007
PublisherAssociation for Information Systems. The Journal's web site is located at https://aisel.aisnet.org/amcis/
Citation
Association for Information Systems - 13th Americas Conference on Information Systems, AMCIS 2007: Reaching New Heights, 2007, v. 1, p. 537-544 How to Cite?
AbstractGiven the phenomenon of enormous observing over posting behaviors in virtual communities vis-à-vis relatively little exploration from academic, this paper investigates the importance of identity credibility under pre-interaction circumstance in virtual communities. We propose a model showing the antecedents and consequences of credibility of identity. Drawn on institution-based process, attitude change process and information richness theory, we identify three antecedents: perceived effectiveness of rules, formality of third-party endorsement which serve as central route in ELM, and information richness of target identity as peripheral route. Based on previous literatures, we also identify consequences from short term perspective (members' adoption intention of suggestions) and long term perspective (perceiver identity's likelihood of future direct interaction with the target identity) in the context of problem solving or knowledge sharing. We expect this model would provide virtual community practitioners with suggestions on how to improve credibility of their members through deliberate design and management of virtual communities.
Persistent Identifierhttp://hdl.handle.net/10722/270399

 

DC FieldValueLanguage
dc.contributor.authorYu, Jie-
dc.contributor.authorJiang, Zhenhui-
dc.contributor.authorChan, Hock Chuan-
dc.date.accessioned2019-05-27T03:57:31Z-
dc.date.available2019-05-27T03:57:31Z-
dc.date.issued2007-
dc.identifier.citationAssociation for Information Systems - 13th Americas Conference on Information Systems, AMCIS 2007: Reaching New Heights, 2007, v. 1, p. 537-544-
dc.identifier.urihttp://hdl.handle.net/10722/270399-
dc.description.abstractGiven the phenomenon of enormous observing over posting behaviors in virtual communities vis-à-vis relatively little exploration from academic, this paper investigates the importance of identity credibility under pre-interaction circumstance in virtual communities. We propose a model showing the antecedents and consequences of credibility of identity. Drawn on institution-based process, attitude change process and information richness theory, we identify three antecedents: perceived effectiveness of rules, formality of third-party endorsement which serve as central route in ELM, and information richness of target identity as peripheral route. Based on previous literatures, we also identify consequences from short term perspective (members' adoption intention of suggestions) and long term perspective (perceiver identity's likelihood of future direct interaction with the target identity) in the context of problem solving or knowledge sharing. We expect this model would provide virtual community practitioners with suggestions on how to improve credibility of their members through deliberate design and management of virtual communities.-
dc.languageeng-
dc.publisherAssociation for Information Systems. The Journal's web site is located at https://aisel.aisnet.org/amcis/-
dc.relation.ispartofAssociation for Information Systems - 13th Americas Conference on Information Systems, AMCIS 2007: Reaching New Heights-
dc.subjectElaboration likelihood model-
dc.subjectCredibility-
dc.subjectVirtual community-
dc.subjectMechanisms-
dc.subjectIdentity-
dc.titleA model of identity credibility in virtual communities: An elaboration likelihood model perspective-
dc.typeConference_Paper-
dc.identifier.scopuseid_2-s2.0-84870199312-
dc.identifier.volume1-
dc.identifier.spage537-
dc.identifier.epage544-

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