Extending the two‐stage information systems continuance model: incorporating UTAUT predictors and the role of context

By V. Venkatesh, James Y. L. Thong, Frank K. Y. Chan, P. H. Hu, Susan A. Brown. Information Systems Journal, 2011

871 citations recorded by the source corpus.

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.

Subfields: Information Systems and Management, Political Science and International Relations, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/43625efde86bf9e57b5bd80c8f04167b2e086665

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

In Political Science and International Relations

In Sociology and Political Science

Citations in the corpus

Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model (2018, background): “While various approaches can be used to encourage user adoption of an innovation, the long-term viability of a new information system (IS) hinges more on users ’ continuance behaviour than on their initial adoption decisions (Venkatesh et al. 2011).”
Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead (2016, background): “Venkatesh et al. (2011) integrated UTAUT beliefs into the two-stage expectation-confirmation model of IS continuance (Bhattacherjee & Premkumar, 2004) to study citizens’ continued use of e-government technologies.”
Research Note - Why Following Friends Can Hurt You: An Exploratory Investigation of the Effects of Envy on Social Networking Sites among College-Age Users (2015, background): “Indeed, negative experiences may cause users to discontinue their usage (Venkatesh et al. 2011), which threatens platform sustainability—a pivotal issue for any platform provider (Enders et al.”
An expectation-confirmation model of continuance intention to use mobile instant messaging (2016, methodology): “Venkatesh et al. (2011) used positive/negative disconfirmation to refer to the ‘‘situations when things are better/worse than expected’’.”
Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making (2021, methodology): “…effort expectancy, is another key construct which has been included in several IT adoption models and has been verified empirically in various contexts by many studies (e.g. Balakrishnan and Dwivedi, 2021b; Dwivedi et al., 2019; 2017; Rana et al., 2017; Rana et al., 2016; Venkatesh et al., 2011).”
A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research (2014, background): “For example, perceived ease of use, perceived enjoyment, and trust are incorporated into the IS continuance model to explain continued usage of mobile Internet services and online transactional systems (Hong et al. 2006, Thong et al. 2006, Venkatesh et al. 2011).”
Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017, background): “Prior literature highlights several individual characteristics including attitude, computer self-efficacy, and personal innovativeness (e.g., Carter and Schaupp 2008; Chong 2013; Venkatesh et al. 2011a).”
Explanations as Mechanisms for Supporting Algorithmic Transparency (2018, neutral): “[53], and averaged to create a composite variable (FB Satisfaction).”
Citizen's adoption of an e-government system: Validating extended social cognitive theory (SCT) (2015, result): “This relationship is in line with the prior TAM literature (Davis, 1989) and a number of empirical research studies (e.g., Hung et al., 2006, 2009; Sahu and Gupta, 2007; Venkatesh et al., 2011) on technology and e-government adoption.”
What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage (2018, background): “Among the different constructs of the ECT, the relationship between satisfaction and continuance usage intention has been the most validated one by previous studies (e.g. Bhattacherjee, 2001; Oghuma et al., 2016; Teo et al., 2008; Thong et al., 2006; Venkatesh et al., 2011; Wei et al., 2017; Zhou, 2”
Managing Citizens' Uncertainty in E-Government Services: The Mediating and Moderating Roles of Transparency and Trust (2016, methodology): “This responds to calls for giving a richer treatment to context in theory development and incorporating constructs relevant to the nature of emerging technologies to aid systems design (Hong et al. 2014, Venkatesh and Bala 2008, Venkatesh et al. 2011).”
Determinants of continuance intention to use the smartphone banking services: An extension to the expectation-confirmation model (2016, methodology): “…Using smartphone banking enhances the effectiveness of my banking activities/services I find smartphone banking to be useful for my banking needs Venkatesh et al. (2011) and Bhattacherjee and Premkumar (2004) User satisfaction My choice to use smartphone banking was a wise one My experience…”