The measurement of end-user computing satisfaction
MIS Quarterly
IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use
International Journal of Human-Computer Interaction
A model and instrument for measuring small business user satisfaction with information technology
Information and Management
Usability engineering: scenario-based development of human-computer interaction
Usability engineering: scenario-based development of human-computer interaction
The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach
Information Systems Research
Defensive Design for the Web: How to improve error messages, help, forms, and other crisis points
Defensive Design for the Web: How to improve error messages, help, forms, and other crisis points
The conceptualization and empirical validation of web site user satisfaction
Information and Management
Usability engineering methods for software developers
Communications of the ACM - Interaction design and children
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
Computers in Human Behavior
Usable error message presentation in the World Wide Web: Do not show errors right away
Interacting with Computers
Advances in Human-Computer Interaction
International Journal of Human-Computer Studies
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In recent years, Intranets have become increasingly important to their companies. Substantial investments have been made to provide crucial information and workflows to employees. In this context the question of quality assurance arises: how can user satisfaction with the Intranet be measured? This article presents the development of a questionnaire to measure user satisfaction with the Intranet. After a first validation of the instrument (18 items) in an international insurance company (N"1=881), a final set of 13 items remained. These were tested with the Intranet of a national retail company (N"2=1350). The final version showed a high internal consistency (Cronbach @a) of .89, good item difficulties (.36-.73) and discriminatory power coefficients (.48-.73), as well as a moderate average homogeneity of .44. An exploratory factor analysis revealed two factors, ''Content Quality'' and ''Intranet Usability'', explaining 56.54% of the variance. Meanwhile, the survey was translated into 10 languages: Chinese, English, French, German, Italian, Japanese, Portuguese, Russian, Slovenian, and Spanish.