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Antecedents of information systems user behaviour – extended expectation-confirmation model

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  • Semina Halilovic
  • Muris Cicic

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.

Suggested Citation

  • Semina Halilovic & Muris Cicic, 2013. "Antecedents of information systems user behaviour – extended expectation-confirmation model," Behaviour and Information Technology, Taylor & Francis Journals, vol. 32(4), pages 359-370.
    • Handle: RePEc:taf:tbitxx:v:32:y:2013:i:4:p:359-370
    DOI: 10.1080/0144929X.2011.554575
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    Cited by:

    1. Athapol Ruangkanjanases & Asif Khan & Ornlatcha Sivarak & Untung Rahardja & Shih-Chih Chen, 2024. "Modeling the Consumers’ Flow Experience in E-commerce: The Integration of ECM and TAM with the Antecedents of Flow Experience," SAGE Open, , vol. 14(2), pages 21582440241, June.

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