An Empirical Application of the Delone and Mclean Model in the Kuwaiti Private Sector

References

• Aladwani, A.M. “A Deeper Look at the Attitude-Behavior Consistency Assumption in Information Systems Satisfaction Research,” Journal of Computer Information Systems, Fall 2003, pp. 57–63.
   Google Scholar
• Almuatiri, H. “Evaluating Information System Success in Public Organizations: A Theoretical Model and Empirical Validation.” Unpublished doctoral dissertation, Pennsylvania State University, 2001.
   Google Scholar
• Alshare, K., M. Al-Dwairi, and I. Akour. “Student-Instructor Perception of Computer Technologies in Developing Countries: The Case of Jordan,” Journal of Computer Information Systems, Summer 2003, pp. 115–123.
   Google Scholar
• Anakwe, U.P., M. Anandaeajan, and M. Igbaria. “Information Technology Usage Dynamic in Nigeria: An Empirical Study,” Journal of Global Information Management, 7:2, 1998, pp. 13–21.
   Google Scholar
• Bailey, J.E. and S.W. Pearson. “Development of a Tool for Measuring and Analyzing Computer User Satisfaction,” Management Science, 29:5, May 1983, pp. 530–545.
   Web of Science ®Google Scholar
• Baroudi, J.J. and W.J. Orlikowski. “A Short-form Measure of User Information Satisfaction: A Psychometric Evaluation and Notes on Use,” Journal of Management Information Systems, 4:4, Spring 1988, pp. 44–59.
   Google Scholar
• Brislin, R.W. “The Wording and Translation of Research Instruments.” In Lonner, W.J. and J.W. Berry (Eds.). Field Methods in Cross-cultural Research. Beverly Hills, CA: Sage, 1986, pp. 137–164.
   Google Scholar
• DeLone, W.H. and E.R. McLean. “Information System Success: The Quest for the Dependent Variable,” Information System Research, 3:1, March 1992, pp. 60–90.
   Web of Science ®Google Scholar
• DeLone, W.H. and E.R. McLean. “The DeLone and McLean Model of Information Systems Success: A Ten-Year Update,” Journal of Management Information Systems, 19:4, Spring 2003, pp. 9–30.
   Web of Science ®Google Scholar
• Doll, W.J. and G. Torkzadeh. “Developing a Multidimensional Measure of System-use in an Organizational Context,” Information & Management, 33:4, March 1988, pp. 171–185.
   Google Scholar
• Doll, W.J. and G. Torkzadeh. “The Measurement of End-user Computing Satisfaction,” MIS Quarterly, 12:2, June 1988, pp. 258–274.
   Web of Science ®Google Scholar
• Garrity, E.J. and G.L. Sanders. “Dimensions of Information System Success.” In Garrity, E.J. and G.L. Sanders (Eds.). Information Success Measurement Hershey, PA: Idea Group, 1988.
   Google Scholar
• Glorfeld, K. “Information Technology: Measures of Success and Impact.” Unpublished doctoral dissertation, University of Arkansas, Little Rock, AR, 1994.
   Google Scholar
• Grandon, E.E. and P.O. Mykytyn. “Theory-based Instrumentation to Measure the Intention to use Electronic Commerce in Small and Medium Sized Businesses,” Journal of Computer Information Systems, Spring 2004, pp. 44–57.
   Google Scholar
• Hair, J., R.E. Anderson, R.L. Tatham, and W. Black. Multivariate Data Analysis. Englewood, NJ: Prentice-Hall, 1992.
   Google Scholar
• Igbaria, M., F.N. Pavri, and S.L. Huff. “Microcomputer Applications: An Empirical Look at Usage,” Information & Management, 16:4, 1989, pp. 187–196.
   Web of Science ®Google Scholar
• Igbaria, M. and M. Tan. “The Consequences of Information Technology Acceptance on Subsequent Individual Performance,” Information & Management, 32:3, March 1997, pp. 113–121.
   Web of Science ®Google Scholar
• Iivari, J. and I. Ervasti. “User Information Satisfaction: IS Implementability and Effectiveness,” Information and Management, 27, 1994, pp. 205–220.
   Web of Science ®Google Scholar
• Ives, B., M. Margrethe, and J.J. Baroudi. “The Measure of User Information Satisfaction,” Communication of the ACM, 26:10, 1983, pp. 785–793.
   Web of Science ®Google Scholar
• Khalil, O. and M.M. Elkordy. “The Relationship Between User Satisfaction and Systems Usage: Empirical Evidence from Egypt,” Journal of End Computing, 11:2, April-June 1999, pp. 21–28.
   Google Scholar
• Kidder, L.H. and C.M. Judd. Research Methods in Social Relations, 5th ed. New York: Holt, Rinehart and Wilson, 1986.
   Google Scholar
• Kim, Y. and Y. Kim. “Critical Issues in the Network Area,” Information Resources Management Journal, 4:4, October/December 1999, pp. 14–23.
   Google Scholar
• Lee, J. “Discriminant Analysis of Technology Adoption Behavior: A Case of Internet Technologies in Small Business,” Journal of Computer Information Systems, Summer 2004, pp. 57–66.
   Google Scholar
• Li, E. “Perceived Importance of Information System Success Factors: A Meta-analysis of Group Differences,” Information and Management, 32, 1997, pp. 15–28.
   Web of Science ®Google Scholar
• Lin, F. and J. Wu. “An Empirical Study of End-user Computing Acceptance Factors in Small and Medium Enterprises in Taiwan: Analyzed by Structural Equation Modeling,” Journal of Computer Information Systems, Spring 2004, pp. 98–108.
   Google Scholar
• Mahmood, M.A. and J.D. Becker. “Effect of Organizational Maturity on End-users' Satisfaction with Information Systems,” Journal of Information Systems, 2:3, 1985/1986, pp. 37–64.
   Google Scholar
• Mahmood, M.A. and S.K. Soon. “A Comprehensive Model for Measuring the Potential Impact of Information Technology on Organizational Strategic Variables,” Decision Sciences, 22:4, September/October 1991, pp. 869–897.
   Web of Science ®Google Scholar
• McCloskey, D. “Evaluating Electronic Commerce Acceptance with the Technology Acceptance Model,” Journal of Computer Information Systems, Winter 2003–04, pp. 49–57.
   Google Scholar
• Myers, B.L., L. Kappelman and V.R. Prybutok. “A Comprehensive Model for Assessing the Quality and Productivity of the Information System Function: Toward a Theory for Information System Assessment,” Information Resources Management Journal, 10:1, Winter 1997 1, pp. 6–25.
   Google Scholar
• Palvia, P.C., S.C. Palvia, and R.M. Zigli. In Khosrowpour, M. (Ed.). Global Information Technology Management Harrisburg, PA: Idea Group, 1992.
   Google Scholar
• Sabherwal, R. “The Relationship Between Information System Planning Sophistication and Information System Success: An Empirical Assessment,” Decision Sciences, 30:1, Winter 1999, pp. 137–167.
   Web of Science ®Google Scholar
• Saunders, C.S. and J.W. Jones. “Measuring Performance of the Information Systems Function,” Journal of Management Information Systems, 8:4, Spring 1992, pp. 63–73.
   Google Scholar
• Seddon, P. and S.K. Yip. “An Empirical Evaluation of User Information Satisfaction (UIS) Measures for Use with General Ledger Account Software,” Journal of Information Systems, 1992, pp. 75–92.
   Google Scholar
• Seddon, P. “A Respecification and Extension of the DeLone and McLean Model of IS Success,” Information System Research, 8:3, September 1997, pp. 240–253.
   Web of Science ®Google Scholar
• Seddon, P.B. and M.Y. Kiew. “A Partial Test and Development of the DeLone and McLean Model of IS Success,” Proceedings of the International Conference on Information Systems, Vancouver, BC, Canada (ICIS 94), 1994, pp. 99–110.
   Google Scholar
• Teo, T.S.H. and P.K. Wong. “An Empirical Study of the Performance Impact of Computerization in the Retail Industry,” Omega, 26:5, 1998, pp. 611–621.
   Web of Science ®Google Scholar
• Torkzadeh, G. and W.J. Doll. “The Development of a Tool for Measuring the Perceived Impact of Information Technology on Work”, Omega, 27, 1999, pp. 327–339.
   Web of Science ®Google Scholar