Please use this identifier to cite or link to this item: https://doi.org/10.1002/asi.20453
DC FieldValue
dc.titleUnderstanding competing application usage with the theory of planned behavior
dc.contributor.authorLin, J.
dc.contributor.authorChan, H.C.
dc.contributor.authorWei, K.K.
dc.date.accessioned2013-07-11T10:07:46Z
dc.date.available2013-07-11T10:07:46Z
dc.date.issued2006
dc.identifier.citationLin, J., Chan, H.C., Wei, K.K. (2006). Understanding competing application usage with the theory of planned behavior. Journal of the American Society for Information Science and Technology 57 (10) : 1338-1349. ScholarBank@NUS Repository. https://doi.org/10.1002/asi.20453
dc.identifier.issn15322882
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/42380
dc.description.abstractUser acceptance models such as the technology acceptance model, the theory of reasoned action, and the theory of planned behavior have been widely used to study a specific information system, a group of systems, or even computers in general. This study examines the usage of competitive information systems. It applies the theory of planned behavior (TPB) in a comparative frame of reference model (relative model) in which relative attitude, relative subjective norm, relative intention, and relative usage are examined. The study is set in the context of two instant messaging technologies. Based on a survey from 300 instant messaging users, the effects of attitude and subjective norm on intention in each model were different (i.e., when TPB is tested once for each application). This confirms that the behavioral model can show different effects for competitive products. In addition, correct competitive answers were given by the relative model; however, these may differ from the answers found from a single application model. The authors show the importance of studying the relative model for competitive products.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1002/asi.20453
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentDEPARTMENT OF INFORMATION SYSTEMS AND ANALYTICS
dc.description.doi10.1002/asi.20453
dc.description.sourcetitleJournal of the American Society for Information Science and Technology
dc.description.volume57
dc.description.issue10
dc.description.page1338-1349
dc.description.codenAISJB
dc.identifier.isiut000246285200007
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