Testing a Causal Model of End-User Application Effectiveness

References

• Alavi, M., and Weiss I. Managing the risks associated with end-user computing. Journal of Management Information Systems 2, 3 (Winter 1986), 5–20.
   Google Scholar
• Alloway, R., and Quillard, J. User manager’s systems needs. MIS Quarterly 7, 2 (June 1983), 27–41.
   Web of Science ®Google Scholar
• Asher, H. Causal modeling, 2d ed. Sage University Paper Series on Quantitative Applications in the Social Sciences, Number 07-003. Beverly Hills, CA: Sage Publications, 1983.
   Google Scholar
• Bailey, J.E., and Pearson, S.W. Development of a tool for measuring and analyzing computer user satisfaction. Management Science 29, 5 (May 1983), 530–545.
   Web of Science ®Google Scholar
• Baroudi, J.; Olson, M.; and Ives, B. An empirical study of the impact of user involvement on system usage and information satisfaction. Communications of the ACM 29, 3 (March 1986), 232–238.
   Web of Science ®Google Scholar
• Benjamin, R.I. Information technology in the 1990s: a long range planning scenario. MIS Quarterly 6, 2 (June 1982), 11–31.
   Web of Science ®Google Scholar
• Benson, D.H. A field study of end user computing: findings and issues. MIS Quarterly 7, 4 (December 1983), 35–45.
   Web of Science ®Google Scholar
• Cheney, P.; Mann, R.; and Amoroso, D.L. Organizational factors affecting the success of end-user computing. Journal of Management Information Systems 3, 1 (Summer 1986), 65–80.
   Google Scholar
• Cook, T., and Campbell, D. The design and conduct of quasi-experiments and true experiments in field studies. In Handbook of Industrial and Organizational Psychology. Chicago: RandMcNally, 1976, 223–334.
   Google Scholar
• Davis, G.B. Caution: user developed systems can be dangerous to your organization. Working Paper, MISRC #82-04 (1982), 1–28.
   Google Scholar
• Dickson, G.; Leitheiser, R.; Wetherbe, J.; and Nechis, M. Key information systems issues for the 1980’s. MIS Quarterly 8, 3 (1984), 135–162.
   Web of Science ®Google Scholar
• Dimnik, T. An introduction to LISREL. University of Western Ontario, Working Paper no. 86-21 (September 1986).
   Google Scholar
• Doll, W., and Torkzedeh, G. The measurement of end-user computing satisfaction. MIS Quarterly 12, 2 (June 1988), 259–276.
   Web of Science ®Google Scholar
• Ein-Dor, P., and Segev E. Organizational context and the success of management information systems. Management Science 24, 10 (June 1978), 1064–1077.
   Web of Science ®Google Scholar
• Fornell, C. A Second Generation of Multivariate Analysis. New York: Praeger, 1982.
   Google Scholar
• Fornell, C., and Barclay, D. Jacknifing: A Supplement to Lohmoller’s LVPLS Program. Ann Arbor: University of Michigan Press, 1983.
   Google Scholar
• Fornell, C., and Larcker, D. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18, 1 (February 1981), 39–50.
   Web of Science ®Google Scholar
• Fornell, C.; Tellis, G.; and Zinkhan, G. Validity assessment: a structural equations approach using partial least squares. Proceedings of the American Marketing Association Educator’s Conference, Chicago, 1982, 405–409.
   Google Scholar
• Fuerst, W., and Cheney, P. Factors affecting the perceived utilization of computer-based decision support systems in the oil industry. Decision Sciences 13 (1982), 554–568.
   Google Scholar
• Gerrity, M., and Rockart, J. Managing end-user computing in the information era. Sloan Management Review 27, 4 (Summer 1986), 25–34.
   Google Scholar
• Ghiselli, E.; Campbell, J.; and Zedeck, S. Measurement Theory for the Behavioral Sciences. SanFrancisco: W.H. Freeman, 1981.
   Google Scholar
• Ginzberg, M. Early diagnosis of MIS implementation failure: promising results and unanswered questions. Management Science 27, 4 (April 1984), 459–478.
   Web of Science ®Google Scholar
• Goodhue, D. IS attitudes: toward theoretical and definition clarity. Proceedings of the 7th International Conference on Information Systems, San Diego, December 1985, 181–194.
   Google Scholar
• Grant, R. Building and testing a causal model of an information technology’s impact. Proceedings of the Tenth International Conference on Information Systems, December 4-6, 1989, 173–184.
   Google Scholar
• Guimaraes, T., and Gupta, A. Personal computing and support services. OMEGA 15, 6 (1987), 467–475.
   Web of Science ®Google Scholar
• Hackathom, R. End-user computing by top executives. Data Base 19, 1 (Fall/Winter 1987/88), 1–9.
   Google Scholar
• Hammond, L. Considerations for an information center. IBM Systems Journal 21, 2 (1982), 133–161.
   Google Scholar
• Henderson, J., and Treacy, M. Managing end-user computing for competitive advantage. Sloan Management Review, 27, 2 (Winter 1986), 3–14.
   Google Scholar
• Iivari, J. User information satisfaction (UIS) reconsidered: an information system as the antecedent of UIS. Proceedings of the 8th International Conference on Information Systems, Pittsburgh, December 1987, 57–73.
   Google Scholar
• Ives, B., and Olson, M. User involvement and MIS success: a review of research. Management Science 30, 5 (1984), 586–603.
   Web of Science ®Google Scholar
• Ives, B.; Olson, M.; and Baroudi, J. The measurement of user information satisfaction. Communication of the ACM 26, 10 (October 1983), 785–793.
   Web of Science ®Google Scholar
• Jobber, D., and Watts, M. Behavioral aspects of marketing information systems. OMEGA 14, 1 (1986), 69–79.
   Web of Science ®Google Scholar
• Kasper, G., and Cerveny, R. A laboratory study of user characteristics and decision making performance in end-user computing. Information and Management 9, 2 (1985), 87–96.
   Web of Science ®Google Scholar
• Lee, D. Usage patterns and sources of assistance for personal computer users. MIS Quarterly 10, 4 (December 1986), 313–325.
   Web of Science ®Google Scholar
• Lohmoller, J. The PLS program system: latent variables path analysis with partial least squares estimation. Multivariate Behavioral Research 23 (1988), 125–127.
   PubMed Web of Science ®Google Scholar
• Lucas, H. An empirical study of a framework for information systems. Decision Sciences 5 (1914), 103–114.
   Google Scholar
• Lucas, H. Performance and the use of an information system. Management Science 21, 8 (April 1975), 908–919.
   Web of Science ®Google Scholar
• Martin, J. Application Development without Programmers. Englewood Cliffs, NJ: Prentice-Hall, 1982.
   Google Scholar
• McLean, E. End users as application developers. MIS Quarterly 3, 4 (December 1979), 37–46.
   Google Scholar
• Nelson, R., and Cheney, P. Training end users: an exploratory study. MIS Quarterly 11, 4 (December 1987), 547–559.
   Web of Science ®Google Scholar
• Norman, M., and Muriel, A. Writing simple program generators: a case study in building productivity tools. Journal of Management Information Systems 1, 1 (Summer 1984), 102–111.
   Google Scholar
• Nunnally, J. Psychometric Theory. New York: McGraw-Hill, 1967.
   Google Scholar
• Quillard, J.; Rockart, J.; Wilde, E.; Vernon, M.; and Mock, G. A study of the corporate use of personal computers. Working Paper, CISR-WP-109, Massachusetts Institute of Technology, December 1983.
   Google Scholar
• Reimann, B., and Waren, A. User-oriented criteria for the selection of DSS software. Communications of the ACM 28, 2 (February 1985), 166–179.
   Web of Science ®Google Scholar
• Rivard, S., and Huff, S. An empirical study of users as application developers. Information and Management 8, 2 (February 1985), 89–102.
   Web of Science ®Google Scholar
• Rivard, S., and Huff, S. Factors of success for end-user computing. Communications of the ACM 31, 5 (May 1988), 552–561.
   Web of Science ®Google Scholar
• Robey, D. User attitudes and management information systems use. Academy of Management Journal 22, 3 (1979), 527–538.
   Web of Science ®Google Scholar
• Rockart, J.F., and Flannery, L.S. The management of end user computing. Communications of the ACM 26, 10 (October 1983), 776–784.
   Web of Science ®Google Scholar
• Ronen, B.; Palley, M.; and Lucas, H. Spreadsheet analysis and design. Communications of the ACM 32, 1 (January 1989), 84–93.
   Web of Science ®Google Scholar
• Schewe, C. The MIS user: an exploratory behavioral analysis. The Academy of Management Journal 19, 4, (1976).
   Web of Science ®Google Scholar
• Srinivasan, A. Alternative measures of system effectiveness: associations and implications. MIS Quarterly 9, 3 (September 1985), 243–253.
   Web of Science ®Google Scholar
• Tait, P., and Vessey, I. The effect of user involvement on system success: a contingency approach. MIS Quarterly 12, 1 (March 1988), 91–108.
   Web of Science ®Google Scholar
• Treacy, M. An empirical examination of a causal model of user information satisfaction. Proceedings of the 6th International Conference on Information Systems, Indianapolis, December 1985.
   Google Scholar
• Trice, A., and Treacy, M. An empirical examination of a causal model of user information satisfaction. Proceedings of the 7th International Conference on Information Systems, San Diego, December 1986, 227–239.
   Google Scholar
• Turban, E., and Trippi, R. The utilization of expert systems in OR/MS: an assessment. OMEGA 17, 4 (1989), 311–322.
   Web of Science ®Google Scholar
• Vitalari, N. Knowledge as a basis for expertise in systems analysis: an empirical study. MIS Quarterly 9, 3 (September 1985), 221–241.
   Web of Science ®Google Scholar
• Weber, R. Planning and control issues in end-user computing. Australian Computer Journal 18, 9 (November 1986), 159–165.
   Google Scholar
• White, D. Factors affecting employee attitudes toward the installation of a new management system. Academy of Management Journal 16, 4 (December 1973), 636–646.
   Web of Science ®Google Scholar
• Wold, H. Systems analysis by partial least squares. In Nijkamp, P.; Leitner, P.; and Wrigley, N., eds., Measuring the Unmeasurable. Boston: Martinus Nijhoff, 1985.
   Google Scholar
• Yaverbaum, G. Critical factors in the user environment: an experimental study of users, organizations, and tasks. MIS Quarterly 12, 1 (March 1988), 75–88.
   Web of Science ®Google Scholar
• Zmud, R. Individual differences and MIS success: a review of the empirical literature. Management Science 25, 10 (October 1979), 966–979.
   Web of Science ®Google Scholar