WEB-BASED INFORMATION SYSTEMS SATISFACTION - Theoretical Development and Testing of Competing Models

Christy M. K. Cheung, Matthew K. O. Lee

2007

Abstract

User satisfaction has been widely used in evaluating the performance of web-based information systems (WIS) since the growth of the World Wide Web. This study aims at investigating the structure and dimensionality of the WIS satisfaction construct. We tested the competing models built upon the web satisfaction model and assessed the psychometric properties of the factors and measuring items using confirmatory factor analysis. Our findings suggested that WIS satisfaction can be explained by a higher-order factor model with six first-order factors (i.e., understandability, reliability, usefulness, access, usability, and navigation) and two correlated second-order factors (i.e., web information satisfaction and web system satisfaction). The model provides a good-fit to the data and is theoretically valid, reflecting the logical or formal consistency. Implications of the current investigation for practice and research are provided.

References

  1. Bhattacherjee, A., 2001. An empirical analysis of the antecedents of electronic commerce service continuance, Decision Support Systems, 32, 201-214.
  2. Bollen, K. A., 1989. Structural equations with latent variables, Wiley.
  3. Chin, W. W., 1998. Issues and opinion on structural equation modeling, MIS Quarterly, 22, 7-16.
  4. Chin, W. W. and Lee, M. K. O., 2000. In Twenty-First International Conference on Information Systems (Eds, Orlikowski, W. J., Ang, S., Weill, P., Krcmar, H. and DeGross, J. I.) Brisbane, Australia, pp. 553-563.
  5. DeLone, W. H. and McLean, E. R., 1992. Information systems success: The quest for the dependent variable, Information Systems Research, 3, 60-95.
  6. DeLone, W. H. and McLean, E. R., 2003. The DeLone and McLean model of information systems success: A ten-year update, Journal of Management Information Systems, 19, 9-30.
  7. Doll, W. J. and Torkzadeh, G., 1988. The measurement of end-user computing satisfaction, MIS Quarterly, 12, 259-274.
  8. Doll, W. J., Xia, W. and Torkzadeh, G., 1994. A confirmatory factor analysis of the end-user computing satisfaction instrument, MIS Quarterly, 18, 453-461.
  9. Fornell, C. and Larcker, D., 1987. Evaluating structural equation models with unobservable variables and measurement error, Journal of Marketing Research, 18, 39-50.
  10. Gelderman, M., 1998. The relation between user satisfaction, usage of information systems and performance, Information and Management, 34, 11- 18.
  11. Hair , J. F., Anderson, R. E., Tatham, R. L., 1992. Multivariate Data Analysis: With Readings, 3rd ed., New York, MacMillan Publishing Co.
  12. Hair, J. F., Anderson, R. E., Tatham, R. L. and Black, W. C., 1998. Multivariate data analysis,5th Ed., Englewood Cliffs, NJ: Prentice-Hall.
  13. Harlow, L. L. and Newcomb, M. D., 1990. Towards a general hierarchical model of meaning and satisfaction in life, Multivariate Behavioral Research, 25, 387- 405.
  14. Isakowitz, T., Bieber, M. and Vitali, F., 1998. Web Information Systems, Communications of the ACM, 41, 78-80.
  15. Joreskog, K. G. and Sorbom, D., 1996. LISREL 8: User's Reference Guide, Scientific Software International.
  16. Kaschek, R., Schewe, K.-D., Wallace, C. and Matthews, C., 2004. In Web Information Systems (Eds, Taniar, D. and Rahayu, J. W.) IDEA Group Publishing, Hershey, PA.
  17. Marsh, H. W. and Hocevar, D., 1985. Application of confirmatory factor analysis to the study of selfconcept: First- and higher order factor models and their invariance across groups, Psychological Bulletin, 97, 562-582.
  18. McHaney, R., Hightower, R. and Pearson, J., 2002. A validation of the end-user computing satisfaction instrument in Taiwan, Information and Management, 39, 503-511.
  19. McKinney, V., Yoon, K. and Zahedi, F. M., 2002. The measurement of web-customer satisfaction: An expectation and disconfirmation approach, Information Systems Research, 13, 296-315.
  20. Rai, A., Lang, S. S. and Welker, R. B., 2002. Assessing the validity of IS success models: An empirical test and theoretical analysis, Information Systems Research, 13, 50-69.
  21. Rindskopf, D. and Rose, T., 1988. Some theory and applications of confirmatory second-order factor analysis, Multivariate Behavioral Research, 23, 51-67.
  22. Zviran, M. and Erlich, Z., 2003. Measuring IS user satisfaction: Review and Implications, Communications of the Association for Information Systems, 12, 81-103.
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Paper Citation


in Harvard Style

M. K. Cheung C. and K. O. Lee M. (2007). WEB-BASED INFORMATION SYSTEMS SATISFACTION - Theoretical Development and Testing of Competing Models . In Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST, ISBN 978-972-8865-79-5, pages 46-53. DOI: 10.5220/0001275800460053


in Bibtex Style

@conference{webist07,
author={Christy M. K. Cheung and Matthew K. O. Lee},
title={WEB-BASED INFORMATION SYSTEMS SATISFACTION - Theoretical Development and Testing of Competing Models},
booktitle={Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST,},
year={2007},
pages={46-53},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001275800460053},
isbn={978-972-8865-79-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST,
TI - WEB-BASED INFORMATION SYSTEMS SATISFACTION - Theoretical Development and Testing of Competing Models
SN - 978-972-8865-79-5
AU - M. K. Cheung C.
AU - K. O. Lee M.
PY - 2007
SP - 46
EP - 53
DO - 10.5220/0001275800460053