Extending the two-stage information systems continuance model: incorporating UTAUT predictors and the role of context: Context, expectations and IS continuance
Abstract
This study presents two extensions to the two-stage expectation-confirmation theory of information systems (IS) continuance. First, we expand the belief set from perceived usefulness in the original IS continuance model to include three additional predictors identified in the unified theory of acceptance and use of technology, namely effort expectancy, social influence and facilitating conditions. Second, we ground the IS continuance model in the context of transactional systems that involve transmission of personal and sensitive information and include trust as a key contextual belief in the model. To test the expanded IS continuance model, we conducted a longitudinal field study of 3159 Hong Kong citizens across two electronic government (e-government) technologies that enable citizens' access to government services. In general, the results support the expanded model that provides a rich understanding of the changes in the pre-usage beliefs and attitudes through the emergent constructs of disconfirmation and satisfaction, ultimately influencing IS continuance intention. Finally, we discuss the theoretical and practical implications of the expanded model.
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An integrated theory replacing fragmented theories could better explain how human and society impact adoption and implementation of technology.
“Venkatesh, Morris, Davis and Davis [41] and Venkatesh et al. [52] advocated that an integrated theory replacing those fragmented theories (previously used eight key theories), which could better explain how human and society impact adoption and implementation of technology [44,47,53,54].”
From A Study of the Adoption and Implementation of Enterprise Resource Planning (ERP): Identification of Moderators and Mediator (2020) · cites this paper as [52]
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- Authors
- Venkatesh, V., Thong, J. Y. L., Chan, F. K. Y., Hu, P. J.-H., & Brown, S. A.
- Affiliations
- University of Arkansas at Fayetteville (US)
- Hong Kong University of Science and Technology (HK)
- University of Utah (US)
- University of Arizona (US)
- Corresponding author
- Venkatesh, Viswanath
- Thong, James Y. L.
- Chan, Frank K. Y.
- Hu, Paul Jen-Hwa
- Brown, Susan A.
- Venue
- Information Systems Journal
- Publisher
- Wiley
- Published
- 2011-06-30
- Volume
- 21
- Issue
- 6
- Pages
- 527-555
- ISSN
- 1350-1917 (ISSN-L)
- OpenAlex
- W1792124015
- Semantic Scholar
- 43625efde86bf9e57b5bd80c8f04167b2e086665
- Cited by
- 852
- References
- 67
- Citations by year
- 2026: 53 · 2025: 76 · 2024: 82 · 2023: 85 · 2022: 100 · 2021: 81 · 2020: 67 · 2019: 56 · 2018: 60 · 2017: 31 · 2016: 50 · 2015: 46 · 2014: 35 · 2013: 19 · 2012: 9
- FWCI
- 49.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Systems Journal (publishedVersion)
- eSpace (Curtin University) (submittedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Keywords
- expectation confirmation theory, UTAUT, effort expectancy, social influence, facilitating conditions, trust, transaction systems, sensitive data, e-government, continuance intention, disconfirmation, satisfaction, perceived usefulness
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