Re-Examining Perceived Ease of Use and Usefulness: A Confirmatory Factor Analysis

Adams et al. (1992) presented the results of 2 studies designed to replicate previous work by Davis (1989) regarding perceived usefulness, ease of use, and their influence on the usage of information technology. To measure the influence of usefulness and ease of use on reported levels of usage, Adam...

Full description

Saved in:
Bibliographic Details
Published inMIS quarterly Vol. 17; no. 4; pp. 517 - 525
Main Authors Segars, Albert H., Grover, Varun
Format Journal Article
LanguageEnglish
Published Minneapolis The Society for Information Management and The Management Information Systems Research Center of the University of Minnesota 01.12.1993
University of Minnesota, MIS Research Center
Subjects
Construct validity
Correlations
Discriminant analysis
Discriminants
End users
Estimates
Factor analysis
Goodness of fit
Information technology
Job performance
Mathematical models
Modeling
Observational research
Psychometrics
Quantitative psychology
Research Note
Social sciences
Statistical methods
Structural equation modeling
Validation studies
Validity
Variance analysis
Online AccessGet full text

Cover

More Information
Summary:Adams et al. (1992) presented the results of 2 studies designed to replicate previous work by Davis (1989) regarding perceived usefulness, ease of use, and their influence on the usage of information technology. To measure the influence of usefulness and ease of use on reported levels of usage, Adams et al. employed structural equation modeling. This technique allows the researchers to analyze a set of latent constructs much like independent and dependent variables in regression analysis. Unfortunately, in this part of the analysis, less-than-satisfactory model fit was observed. Further, inconsistencies within and across the 2 studies regarding the strength of causal influence of Davis' constructs on usage seem to suggest that these relationships may be more complex than previously thought. It as suggested that further analysis of these scales be undertaken to better establish their measurement properties, underlying structure, and stability over various technologies. Such an analysis is presented to provide important information to researchers seeking to statistically test relationships among these variables through structural equation modeling.
ISSN:0276-7783
2162-9730
DOI:10.2307/249590