Assessing IT usage: the role of prior experience
MIS Quarterly
The effect of multimedia on perceived equivocality and perceived usefulness of information systems
MIS Quarterly - Special issue on Intensive research in information systems: using qualitative, interpretive, and case methods to study information technology—third installment
Information and Management
Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior
Information Systems Research
Information Technology as an Enabler of Growth in Firms: An Empirical Assessment
Journal of Management Information Systems
Proceedings of the 49th SIGMIS annual conference on Computer personnel research
Impact of network effects and diffusion channels on home computer adoption
Decision Support Systems
Journal of Management Information Systems
Learning continuance of accounting information systems an expectation-confirmation perspective
International Journal of Information Systems and Change Management
Expectation Confirmation in Technology Use
Information Systems Research
The Boundaries of Trust and Risk: The Quadratic Moderating Role of Institutional Structures
Information Systems Research
Predicting m-commerce adoption determinants: A neural network approach
Expert Systems with Applications: An International Journal
Two Worlds of Trust for Potential E-Commerce Users: Humans as Cognitive Misers
Information Systems Research
A neural network approach to predicting price negotiation outcomes in business-to-business contexts
Expert Systems with Applications: An International Journal
Journal of Management Information Systems
Journal of Management Information Systems
Course management system adoption and usage: A process theoretic perspective
Computers in Human Behavior
Predicting open IOS adoption in SMEs: An integrated SEM-neural network approach
Expert Systems with Applications: An International Journal
Consuming information systems: An economic model of user satisfaction
Decision Support Systems
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Individual-level information systems adoption research has recently seen the introduction of expectation-disconfirmation theory (EDT) to explain how and why user reactions change over time. This prior research has produced valuable insights into the phenomenon of technology adoption beyond traditional models, such as the technology acceptance model. First, we identify gaps in EDT research that present potential opportunities for advances-specifically, we discuss methodological and analytical limitations in EDT research in information systems and present polynomial modeling and response surface methodology as solutions. Second, we draw from research on cognitive dissonance, realistic job preview, and prospect theory to present a polynomial model of expectation-disconfirmation in information systems. Finally, we test our model using data gathered over a period of 6 months among 1,143 employees being introduced to a new technology. The results confirmed our hypotheses that disconfirmation in general was bad, as evidenced by low behavioral intention to continue using a system for both positive and negative disconfirmation, thus supporting the need for a polynomial model to understand expectation disconfirmation in information systems.