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dc.contributor.authorSaeed, Khawaja A.
dc.contributor.authorAbdinnour, Sue
dc.date.accessioned2013-06-03T19:25:27Z
dc.date.available2013-06-03T19:25:27Z
dc.date.issued2013-05
dc.identifier.citationSaeed, Khawaja Asjad & Sue Abdinnour. 2013. Understanding post-adoption IS usage stages: an empirical assessment of self-service information systems. Info Systems J (2013) 23, 219–244en_US
dc.identifier.issn1350-1917
dc.identifier.urihttp://dx.doi.org/10.1111/j.1365-2575.2011.00389.x
dc.identifier.urihttp://hdl.handle.net/10057/5694
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractOrganisations have invested in self-service information systems (IS) to provide a direct interface for service delivery. Enriching the usage of these systems can provide organisations with immense benefits. However, limited research has been directed towards understanding post-adoption IS usage behaviour in general and specifically in the context of self-service IS. This study proposes post-adoption IS usage behaviour as a broader concept constituting feature level usage of IS, integration of IS in the work system and exploration of new uses of IS. We evaluate how the new conceptualisation can be used to classify users at different stages of self-service IS usage. Further, we examine user perceptions that differentiate among the users situated at different selfservice IS usage stages. Data were collected in the context of a self-service Web-based IS to validate the post-adoption IS usage constructs and to examine the proposed thesis. The newly developed conceptual structure and measures for post-adoption IS usage behaviour exhibit strong psychometric properties. The analysis shows three distinct post-adoption IS usage stages and highlights that usefulness, user-initiated learning, ease of use, satisfaction and voluntariness of use differentiate users at the different stages of post-adoption IS usage. The results show that these variables aggregate into value confirmation and learning orientation as two higher-level concepts. Further, we evaluate the predictive efficacy of the research model in classifying users into different post-adoption self-service IS usage stages. Implications are drawn for future research.en_US
dc.language.isoen_USen_US
dc.publisherBlackwellen_US
dc.relation.ispartofseriesInfo Systems J;v.23: no.3
dc.subjectPost-adoption IS usageen_US
dc.subjectIS usage stagesen_US
dc.subjectIS acceptanceen_US
dc.subjectSelf-service ISen_US
dc.subjectCluster analysisen_US
dc.subjectDiscriminant analysisen_US
dc.titleUnderstanding post-adoption IS usage stages: an empirical assessment of self-service information systemsen_US
dc.typeArticleen_US
dc.description.versionPeer reviewed
dc.rights.holder© John Wiley & Sons Ltd


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