A short-form measure of user information satisfaction: a psychometric evaluation and notes on use
Journal of Management Information Systems
Measuring performance of the information systems function
Journal of Management Information Systems
An expanded instrument for evaluating information system success
Information and Management
Software developer perceptions about software project failure: a case study
Journal of Systems and Software - Special issue on software engineering education and training for the next millennium
The measurement of user information satisfaction
Communications of the ACM
Seeking consonance in information systems
Journal of Systems and Software
Assessing information technology personnel: toward a behavioral rating scale
ACM SIGMIS Database
User evaluation of information systems: by system typology
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
How to keep members using the information in a computer-supported social network
Computers in Human Behavior
International Journal of Human Capital and Information Technology Professionals
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Evaluation of IS professionals is difficult. Measures are seldom fully defined and suffer from the inability of a user to consider differences between expectations and perceptions of performance. In addition, expected levels of performance and perceived levels of performance depend on the satisfaction of each group of stakeholders. Discrepancy theory leads one to expect that satisfaction is highest when performance matches expectations. To explore this gap in different groups, a sample of users and a matched sample of IS professionals was investigated in order to determine the relationship between the performance gap and satisfaction with the system on the part of the users and careers on the part of the IS professionals. Larger gaps were found to be associated with poor satisfaction in both samples. Additionally, each group had a different set of expectations, indicating that the measures did not represent the same expectation or meanings to different stakeholders. Thus, management should strive to promote uniform understanding of the measures employed in IS professional performance evaluation by all stakeholders and manage expectations according to the metrics selected.