Factors of success for end-user computing
Communications of the ACM
A tool for measuring analysis end user computing
Information Processing and Management: an International Journal
Information systems and user resistance: theory and practice
The Computer Journal
The measurement of end-user computing satisfaction
MIS Quarterly
I/S attitudes: toward theoretical and definitional clarity
ACM SIGMIS Database
A discrepancy model of end-user computing involvement
Management Science
A study of personal computer utilization by managers
Information and Management
ACM SIGCPR Computer Personnel
Task uncertainty and the use of computer technology
Information and Management
The measurement of user information satisfaction
Communications of the ACM
A temporal approach to expectations and desires from knowledge management systems
Decision Support Systems
Hospital information systems: Measuring end user computing satisfaction (EUCS)
Journal of Biomedical Informatics
Our Mousetrap's Fine: So Why Aren't People Beating A Path To Our Door?
Information Resources Management Journal
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Noting considerable alienation or dissatisfaction on the part of computer users, MIS literature has looked at a variety of social science techniques, including consumer satisfaction theory, for solutions to these problems. The dominant model of consumer satisfaction and dissatisfaction has been based on the disconfirmation of expectations paradigm. However, a critique of the disconfirmation of expectations model shows that using predictive expectation as a comparison standard reveals a number of conceptual and empirical problems. To overcome these problems, this paper suggests desired expectations as an alternative comparison standard. This paper proposes a desired expectations model of end-user computing EUC success that describes that the success of EUC be determined by the discrepancy between end-user desires and actual performance of information systems. Analysis of data from 150 end-users in Korean business firms shows that attitudinal measures of EUC success i.e., overall user satisfaction and perceived usefulness were significantly influenced by the level of discrepancy. This empirical result supports the assumption that the success of EUC depends on how end-users perceive the actual performance of information systems in the context of what they want