Systems, Objectives, Solutions
Designing for usability: key principles and what designers think
Communications of the ACM
Communications of the ACM
The measurement of end-user computing satisfaction
MIS Quarterly
Information and Management
An assessment of the prototyping approach to information systems development
Communications of the ACM
The measurement of user information satisfaction
Communications of the ACM
Corporate Information Systems Management: The Issues Facing Senior Executives
Corporate Information Systems Management: The Issues Facing Senior Executives
Online Communities: A Case Study of the Office of the Future
Online Communities: A Case Study of the Office of the Future
International Journal of Human-Computer Studies - Human-computer interaction research in the managemant information systems discipline
A temporal approach to expectations and desires from knowledge management systems
Decision Support Systems
An AHP-based methodology to rank critical success factors of executive information systems
Computer Standards & Interfaces
Incentive mechanisms, fairness and participation in online group-buying auctions
Electronic Commerce Research and Applications
Expectation Confirmation in Technology Use
Information Systems Research
Achieving IT Infusion: A Conceptual Model for Small Businesses
Information Resources Management Journal
Segmentation of Information Systems Users: The Finite Mixture Partial Least Squares Method
Journal of Organizational and End User Computing
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The consequences of information system failure become more acute as organizations continue to invest in information technology and application development. Being able to better predict IS failure before implementation of a system could facilitate changes in the information system that can lead to implementation success. The realism of user expectations has been suggested as one possible means of assessing the eventual success or failure of an IS. Cognitive dissonance theory was used to hypothesize the behavior and attitudes of end users having certain expectations of a system. This experiment investigates the association between unrealistic expectations with both users' perceptions (i.e., user satisfaction) and their performance with the IS (i.e., decision performance). A longitudinal experiment was performed in which the expectations of the subjects were manipulated to be unrealistically high, realistically moderate, or unrealistically low. The results suggest an association between realism of users' expectations and their perceptions but not their actual performance. Future research should be directed toward the development of an instrument to measure user expectations, as well as toward understanding the causes of unrealistic user expectations.