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The effects of self-efficacy on computer usage

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  • Igbaria, M.
  • Iivari, J.

Abstract

This paper examines the effect of self-efficacy, belief in one's capabilities of using a computer in the accomplishment of specific tasks, on computer usage. It introduces an extended technology acceptance model (TAM) that explicitly incorporates self-efficacy and its determinants (experience and organizational support) as factors affecting computer anxiety, perceived ease of use, perceived usefulness and the use of computer technology. A survey of 450 microcomputer users in Finland found strong support for the conceptual model. In accordance with TAM, perceived usefulness had a strong direct effect on usage, while perceived ease of use had indirect effect on usage through perceived usefulness. Self-efficacy had both direct and indirect effects on usage, demonstrating its importance in the decision to use computer technology. It also had a strong direct effect on perceived ease of use, but only an indirect effect on perceived usefulness through perceived ease of use. Computer experience was found to have a strong positive direct effect on self-efficacy, perceived ease of use, perceived usefulness and usage. Organizational support and computer anxiety had only indirect effects on usage, mainly through perceived usefulness. Implications of these findings are discussed for researchers and practitioners.

Suggested Citation

  • Igbaria, M. & Iivari, J., 1995. "The effects of self-efficacy on computer usage," Omega, Elsevier, vol. 23(6), pages 587-605, December.
    • Handle: RePEc:eee:jomega:v:23:y:1995:i:6:p:587-605
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    1. Daniel Robey & Richard L. Zeller, 1978. "Factors Affecting the Success and Failure of an Information System for Product Quality," Interfaces, INFORMS, vol. 8(2), pages 70-75, February.
    2. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    3. Detmar W. Straub, 1994. "The Effect of Culture on IT Diffusion: E-Mail and FAX in Japan and the U.S," Information Systems Research, INFORMS, vol. 5(1), pages 23-47, March.
    4. Robert W. Zmud, 1979. "Individual Differences and MIS Success: A Review of the Empirical Literature," Management Science, INFORMS, vol. 25(10), pages 966-979, October.
    5. Foley Curley, Kathleen, 1984. "Are there any real benefits from office automation?," Business Horizons, Elsevier, vol. 27(4), pages 37-42.
    6. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    7. Labay, Duncan G & Kinnear, Thomas C, 1981. "Exploring the Consumer Decision Process in the Adoption of Solar Energy Systems," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(3), pages 271-278, December.
    8. Igbaria, M, 1990. "End-user computing effectiveness: A structural equation model," Omega, Elsevier, vol. 18(6), pages 637-652.
    9. Yair Aharoni & Richard M. Burton, 1994. "Is Management Science International: In Search of Universal Rules," Management Science, INFORMS, vol. 40(1), pages 1-3, January.
    10. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    11. Geert Hofstede, 1994. "Management Scientists Are Human," Management Science, INFORMS, vol. 40(1), pages 4-13, January.
    12. Ran Lachman & Albert Nedd & Bob Hinings, 1994. "Analyzing Cross-National Management and Organizations: A Theoretical Framework," Management Science, INFORMS, vol. 40(1), pages 40-55, January.
    13. Philip M. Rosenzweig, 1994. "When Can Management Science Research Be Generalized Internationally?," Management Science, INFORMS, vol. 40(1), pages 28-39, January.
    14. Blair, Edward & Burton, Scot, 1987. "Cognitive Processes Used by Survey Respondents to Answer Behavioral Frequency Questions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(2), pages 280-288, September.
    15. Hirschman, Elizabeth C, 1980. "Innovativeness, Novelty Seeking, and Consumer Creativity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(3), pages 283-295, December.
    16. Igbaria, M, 1993. "User acceptance of microcomputer technology: An empirical test," Omega, Elsevier, vol. 21(1), pages 73-90, January.
    17. Dickerson, Mary Dee & Gentry, James W, 1983. "Characteristics of Adopters and Non-Adopters of Home Computers," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(2), pages 225-235, September.
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