An Empirical Investigation into the Utilization-Based Information Technology Success Model: Integrating Task–Performance and Social Influence Perspective
Restricted accessResearch articleFirst published online June, 2007
An Empirical Investigation into the Utilization-Based Information Technology Success Model: Integrating Task–Performance and Social Influence Perspective
This paper develops the utilization-based information technology (IT) success model by integrating key variables from IT acceptance and IT success literatures, and empirically validates it. The model shows relations among IT utilization, performance expectancy, social influence, and user satisfaction. A field study was undertaken to evaluate and test the relationships via structural equation modeling using LISREL. The path from performance expectancy and user satisfaction to IT utilization was positive and significant. While the path from implicit social influence to IT utilization was found to be significant, explicit social influence had no significant influence on users’ IT utilization. Implications and future research directions are drawn.
AjzenI. (1991). The Theory of Planned Behavior, Organizational Behavior and Human Decision Processes50(2): 179–211.
2.
AmorosoD.L., and CheneyP.H. (1991). Testing a Causal Model of End-User Application Effectiveness, Journal of MIS8(1): 63–89.
3.
BanduraA. (1986). Social Foundations of Thoughts and Action, Englewood Cliffs, NJ: Prentice-Hall.
4.
BaroudiJ.J., OlsonM.H., and IvesB. (1986). An Empirical Study of the Impact of User Involvement on System Usage and Information Satisfaction, Communications of the ACM29(3): 232–238.
5.
BerthonP., PittL., EwingM., and CarrC.L. (2002). Potential Research Space in MIS: A Framework for Envisioning and Evaluating Research Replication, Extension, and Generation, Information Systems Research13(4): 416–427.
6.
DavisF.D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly13(3): 319–339.
7.
DavisF.D., BagozziR.P., and WarshawP.R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models, Management Science35(8): 982–1003.
8.
DeLoneW.H., and McLeanE.R. (1992). Information Systems Success: The Quest for the Dependent Variable, Information Systems Research3(1): 60–95.
9.
DeLoneW.H., and McLeanE.R. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update, Journal of Management Information Systems19(4): 9–30.
10.
DollW.J., and TorkzadehG. (1988). The Measurement of End-User Computing Satisfaction, MIS Quarterly12(2): 259–272.
11.
Ein-DorP., and SegevE. (1991). Intensity of End User Computing, Data Base22: 30–37.
12.
FishbeinM., and AjzenI. (1975). Belief Attitude, Intention, and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-Wesley.
13.
FornellC., and LarckerD. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error, Journal of Marketing Research18: 39–50.
14.
FulkJ. (1993). Social Construction of Communication Technology, Academy of Management Journal36(5): 921–950.
15.
FulkJ., and BoydB. (1991). Emerging Theories of Communication in Organizations, Journal of Management17(2): 407–446.
16.
GallivanM.J., SpitlerV.K., and KoufarisM. (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 Systems22(1): 153–192.
17.
GefenD., StraubD.W., and BoudreauM.-C. (2000). Structural Equation Modeling and Regression: Guidelines for Research Practice, Communications of The AIS4(7): 1–77.
18.
GhaniJ.A. (1992). Task Uncertainty and the Use of Computer Technology, Information & Management22(2): 69–76.
19.
GinzbergM.J. (1981). Early Diagnosis of MIS Implementation Failure: Promising Results and Unanswered Questions, Management Science27(4): 459–478.
20.
GoodhueD.L., and ThompsonR.L. (1995). Task-Technology Fit and Individual Performance, MIS Quarterly19(2): 213–236.
21.
HuL., and BentlerP.M. (1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives, Structural Equation Modeling6(1): 1–55.
IgbariaM., and NachmanS.A. (1990). Correlates of User Satisfaction with End User Computing: An Exploratory Study, Information & Management19(2): 73–82.
24.
KimK.K. (1990). Task Characteristics, Decentralization, and the Success of Hospital Information Systems, Information & Management19: 83–93.
25.
KimS.S., and MalhotraN.K. (2005). A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena, Management Science51(5): 741–755.
26.
LegrisP., InghamJ., and ColleretteP. (2003). Why Do People Use Information Technology? A Critical Review of the Technology Acceptance Model, Information & Management40: 191–204.
27.
LewisW., AgarwalR., and SambamurthyV. (2003). Sources of Influence on Beliefs about Information Technology Use: An Empirical Study of Knowledge Workers, MIS Quarterly27(4): 657–678.
28.
MacCallumR.C., BrowneM.W., and Sugawara (1996). Power Analysis and Determination of Sample Size for Covariance Structure Modeling, Psychological Methods1(2): 130–149.
29.
RobeyD. (1979). User Attitudes and Management Information System Use, Academy of Management Journal22(3): 527–538.
30.
SalancikG.R., and PfefferJ. (1978). A Social Information Processing Approach to Job Attitudes and Task Design, Administrative Science Quarterly23: 224–252.
SchiffmanS.J., MeileL.C., and IgbariaM. (1992). An Examination of End-User Types, Information & Management22: 207–215.
33.
SchmitzJ.A., and FulkJ. (1991). Organizational Colleagues, Information Richness, and Electronic Mail: A Test of the Social Influence Model of Technology Use, Communication Research18(4): 487–523.
34.
ShibutaniT. (1955). Reference Groups as Perspectives, American Journal of Sociology60: 562–569.
35.
SrinivasanA. (1985). Alternative Measures of System Effectiveness: Associations and Implications, MIS Quarterly9(3): 243–253.
36.
ThompsonR.L., HigginsC.A., and HowellJ.M. (1991). Personal Computing: Toward a Conceptual Model of Utilization, MIS Quarterly15(1): 125–143.
37.
VenkateshV., and DavisF.D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies, Management Science46(2): 186–204.
38.
VenkateshV., MorrisM.G., DavisG.B., and DavisF.D. (2003). User Acceptance of Information Technology: Toward a Unified View, MIS Quarterly27(3): 425–478.
