An empirical investigation into the utilization-based information technology success model: Integrating task-performance and social influence perspective

Journal of Information Technology

Volumn 22, Issue 2, 2007, Pages 152-160

  Kim, Changki ^a   Jahng, Jungjoo ^b   Lee, Jinjoo ^c  

^a CJ Corporation   (South Korea)

^b Seoul National University   (South Korea)

^c Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Information technology success; Performance expectancy; Social influence; User satisfaction; Utilization

Indexed keywords

EID: 34249670742     PISSN: 02683962     EISSN: 14664437     Source Type: Journal    
DOI: 10.1057/palgrave.jit.2000072     Document Type: Article

References (38)

1. Ajzen, I. (1991). The Theory of Planned Behavior, Organizational Behavior and Human Decision Processes 50(2): 179-211.
2. Amoroso, D.L. and Cheney, P.H. (1991). Testing a Causal Model of End-User Application Effectiveness, Journal of MIS 8(1): 63-89.
3. Bandura, A. (1986). Social Foundations of Thoughts and Action, Englewood Cliffs, NJ: Prentice-Hall.
4. Baroudi, J.J., Olson, M.H. and Ives, B. (1986). An Empirical Study of the Impact of User Involvement on System Usage and Information Satisfaction, Communications of the ACM 29(3): 232-238.
5. Berthon, P., Pitt, L., Ewing, M. and Carr, C.L. (2002). Potential Research Space in MIS: A Framework for Envisioning and Evaluating Research Replication, Extension, and Generation, Information Systems Research 13(4): 416-427.
6. Davis, F.D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly 13(3): 319-339.
7. Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models, Management Science 35(8): 982-1003.
8. DeLone, W.H. and McLean, E.R. (1992). Information Systems Success: The Quest for the Dependent Variable, Information Systems Research 3(1): 60-95.
9. 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(4): 9-30.
10. Doll, W.J. and Torkzadeh, G. (1988). The Measurement of End-User Computing Satisfaction, MIS Quarterly 12(2): 259-272.
11. Ein-Dor, P. and Segev, E. (1991). Intensity of End User Computing, Data Base 22: 30-37.
12. Fishbein, M. and Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-Wesley.
13. Fornell, C. and Larcker, D. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error, Journal of Marketing Research 18: 39-50.
14. Fulk, J. (1993). Social Construction of Communication Technology, Academy of Management Journal 36(5): 921-950.
15. Fulk, J. and Boyd, B. (1991). Emerging Theories of Communication in Organizations, Journal of Management 17(2): 407-446.
16. Gallivan, M.J., Spitler, V.K. and Koufaris, M. (2005). Does Information Technology Training Really Matter? A Social Information Processing Analysis of Coworkers' Influence on IT Usage in the Workplace, Journal of Management Information Systems 22(1): 153-192.
17. Gefen, D., Straub, D.W. and Boudreau, M.-C. (2000). Structural Equation Modeling and Regression: Guidelines for Research Practice, Communications of The AIS 4(7): 1-77.
18. Ghani, J.A. (1992). Task Uncertainty and the Use of Computer Technology, Information & Management 22(2): 69-76.
19. Ginzberg, M.J. (1981). Early Diagnosis of MIS Implementation Failure: Promising Results and Unanswered Questions, Management Science 27(4): 459-478.
20. Goodhue, D.L. and Thompson, R.L. (1995). Task-Technology Fit and Individual Performance, MIS Quarterly 19(2): 213-236.
21. Hu, L. and Bentler, P.M. (1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives, Structural Equation Modeling 6(1): 1-55.
22. Igbaria, M. (1990). End-User Computing Effectiveness: A Structural Equation Model, Omega 18(6): 637-652.
23. Igbaria, M. and Nachman, S.A. (1990). Correlates of User Satisfaction with End User Computing: An Exploratory Study, Information & Management 19(2): 73-82.
24. Kim, K.K. (1990). Task Characteristics, Decentralization, and the Success of Hospital Information Systems, Information & Management 19: 83-93.
25. Kim, S.S. and Malhotra, N.K. (2005). A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena, Management Science 51(5): 741-755.
26. Legris, P, Ingham, J. and Collerette, P. (2003). Why Do People Use Information Technology? A Critical Review of the Technology Acceptance Model, Information & Management 40: 191-204.
27. Lewis, W., Agarwal, R. and Sambamurthy, V. (2003). Sources of Influence on Beliefs about Information Technology Use: An Empirical Study of Knowledge Workers, MIS Quarterly 27(4): 657-678.
28. MacCallum, R.C., Browne, M.W. and Sugawara (1996). Power Analysis and Determination of Sample Size for Covariance Structure Modeling, Psychological Methods 1(2): 130-149.
29. Robey, D. (1979). User Attitudes and Management Information System Use, Academy of Management Journal 22(3): 527-538.
30. Salancik, G.R. and Pfeffer, J. (1978). A Social Information Processing Approach to Job Attitudes and Task Design, Administrative Science Quarterly 23: 224-252.
31. Sanders, G.L. (1984). MIS/DSS Success Measure, Systems, Objectives, Solutions 4: 29-34.
32. Schiffman, S.J., Meile, L.C. and Igbaria, M. (1992). An Examination of End-User Types, Information & Management 22: 207-215.
33. Schmitz, J.A. and Fulk, J. (1991). Organizational Colleagues, Information Richness, and Electronic Mail: A Test of the Social Influence Model of Technology Use, Communication Research 18(4): 487-523.
34. Shibutani, T. (1955). Reference Groups as Perspectives, American Journal of Sociology 60: 562-569.
35. Srinivasan, A. (1985). Alternative Measures of System Effectiveness: Associations and Implications, MIS Quarterly 9(3): 243-253.
36. Thompson, R.L., Higgins, C.A. and Howell, J.M. (1991). Personal Computing: Toward a Conceptual Model of Utilization, MIS Quarterly 15(1): 125-143.
37. Venkatesh, V. and Davis, F.D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies, Management Science 46(2): 186-204.
38. Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. (2003). User Acceptance of Information Technology: Toward a Unified View, MIS Quarterly 27(3): 425-478.