TY - GEN
T1 - The structure of web-based information systems satisfaction
T2 - An application of confirmatory factor analysis
AU - Cheung, Christy M.K.
AU - Lee, Matthew K.O.
PY - 2008
Y1 - 2008
N2 - User satisfaction has become one of the most important measures of the success or effectiveness of information systems; however, very little is known about its structure and dimensionality in the web environment. In the current study, five latent variable models were empirically tested and compared to describe the relationships among 21 observable variables concerned with web-based information systems satisfaction. Using data from a sample of 515 university students, a second-order model was retained based on statistical and theoretical criteria. At the first-order level were six highly interrelated primary factors; understandability, reliability, usefulness, access, usability, and navigation. These six factors were explained by two interrelated second-order factors of web information satisfaction and web system satisfaction. Overall, the model provides a good-fit to the data and is theoretically valid, reflecting logical consistency. Implications of the current investigation for practice and research are provided.
AB - User satisfaction has become one of the most important measures of the success or effectiveness of information systems; however, very little is known about its structure and dimensionality in the web environment. In the current study, five latent variable models were empirically tested and compared to describe the relationships among 21 observable variables concerned with web-based information systems satisfaction. Using data from a sample of 515 university students, a second-order model was retained based on statistical and theoretical criteria. At the first-order level were six highly interrelated primary factors; understandability, reliability, usefulness, access, usability, and navigation. These six factors were explained by two interrelated second-order factors of web information satisfaction and web system satisfaction. Overall, the model provides a good-fit to the data and is theoretically valid, reflecting logical consistency. Implications of the current investigation for practice and research are provided.
KW - Information Quality
KW - System Quality
KW - User Satisfaction
KW - Web-based Information System
UR - https://www.scopus.com/pages/publications/84870447262
U2 - 10.1007/978-3-540-68262-2_19
DO - 10.1007/978-3-540-68262-2_19
M3 - Conference contribution
VL - 8
T3 - Lecture Notes in Business Information Processing
SP - 257
EP - 273
BT - Web Information Systems And Technologies
A2 - Filipe, J
A2 - Cordeiro, J
ER -