Antecedents of information systems user behaviour – extended expectation-confirmation model
Semina Halilovic and
Muris Cicic
Behaviour and Information Technology, 2013, vol. 32, issue 4, 359-370
Abstract:
The study examines antecedents that affect information systems (IS) users' behaviour and influence their decision to either continue or discontinue with IS use. Two models were used: the expectation-confirmation model of IS continuance (ECM-IS) and the extended expectation-confirmation model of IS continuance (EECM-IS) – the ECM-IS model extended by the additional construct of conditions of support. Confirmatory factor analysis has shown that both models demonstrated good factor, convergent and discriminant validity based on data collected from questionnaires filled out by users of the integrated accounting and budgeting software (IABS) Finova. ECM-IS explained 49% of IS continuance intention, and EECM-IS 59%. Users' perceived conditions of support, satisfaction and perceived usefulness determine their IS continuance intention, contributing to 48.5%, 33.9% and 17.6% of the R2, respectively. Confirmation (confirmed user expectation) has a positive impact on perceived usefulness, conditions of support and satisfaction. Conditions of support, perceived usefulness and confirmation are significant predictors of satisfaction, contributing to 61.3%, 20.5% and 18.2% of the R2, respectively.
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2011.554575 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:32:y:2013:i:4:p:359-370
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/0144929X.2011.554575
Access Statistics for this article
Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos
More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().