An empirical study of the impact of user involvement on system usage and information satisfaction
Communications of the ACM - The MIT Press scientific computation series
Organizational factors affecting the success of end-user computing
Journal of Management Information Systems
Factors of success for end-user computing
Communications of the ACM
A short-form measure of user information satisfaction: a psychometric evaluation and notes on use
Journal of Management Information Systems
The measurement of end-user computing satisfaction
MIS Quarterly
A discrepancy model of end-user computing involvement
Management Science
The impact of information systems on organizations and markets
Communications of the ACM
On end-user computing satisfaction
MIS Quarterly
Sustaining IT advantage: the role of structural differences
MIS Quarterly - Special issue on the strategic use of information systems
Recent applications of economic theory in Information Technology research
Decision Support Systems
The productivity paradox of information technology
Communications of the ACM
Measurement: a blueprint for theory-building in MIS
Information and Management
The measurement of user information satisfaction
Communications of the ACM
Using Multivariate Statistics (5th Edition)
Using Multivariate Statistics (5th Edition)
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Information system effectiveness is an important phenomenon for both researchers and practitioners. Despite widespread interest, and the importance of the uses, there have been no efforts to validate Computerworld's Premier 100 rankings of information system effectiveness. This paper uses structural equation modeling in an attempt to validate the measuring instrument used to derive the Computerworld rankings.Alternative models for the measuring instrument are proposed. Using a reflective model, the findings raise doubts as to the reliability of the rankings, and both content validity and construct validity are also suspect. The reliability and validity are problematic because multiple indicators of the same construct must be homogeneous for it to make sense to combine them into a composite index. A solution to this problem is to represent information system effectiveness as a multidimensional construct, that is part of a causal model. Based on previous research in the area, suggestions are offered to improve the measuring instrument.