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The effects of self-efficacy on computer usage


  • Igbaria, M.
  • Iivari, J.


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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    References listed on IDEAS

    1. Philip M. Rosenzweig, 1994. "When Can Management Science Research Be Generalized Internationally?," Management Science, INFORMS, vol. 40(1), pages 28-39, January.
    2. Hirschman, Elizabeth C, 1980. " Innovativeness, Novelty Seeking, and Consumer Creativity," Journal of Consumer Research, Oxford University Press, vol. 7(3), pages 283-295, December.
    3. Igbaria, M, 1993. "User acceptance of microcomputer technology: An empirical test," Omega, Elsevier, vol. 21(1), pages 73-90, January.
    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, Oxford University Press, 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. Dickerson, Mary Dee & Gentry, James W, 1983. " Characteristics of Adopters and Non-Adopters of Home Computers," Journal of Consumer Research, Oxford University Press, vol. 10(2), pages 225-235, 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.
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    1. repec:pal:jorsoc:v:60:y:2009:i:10:d:10.1057_jors.2008.100 is not listed on IDEAS
    2. Seif Obeid Al-Shbiel & Muhannad Akram Ahmad, 2016. "A Theoretical Discussion of Electronic Banking in Jordan by Integrating Technology Acceptance Model and Theory of Planned Behavior," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 6(3), pages 272-284, July.
    3. Shinyi Lin & Shueh-Fen Chen, 2013. "Innovation attributes and pedagogical quality: a concretization of joint theories on course management systems acceptance," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(4), pages 2309-2317, June.
    4. repec:spr:infosf:v:12:y:2010:i:5:d:10.1007_s10796-009-9184-x is not listed on IDEAS
    5. Martínez-Torres, M.R. & Díaz-Fernández, M.C. & Toral, S.L. & Barrero, F., 2015. "The moderating role of prior experience in technological acceptance models for ubiquitous computing services in urban environments," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 146-160.
    6. Andrei OGREZEANU, 2015. "Models Of Technology Adoption: An Integrative Approach," Network Intelligence Studies, Fundația Română pentru Inteligența Afacerii, Editorial Department, issue 5, pages 55-67, June.
    7. Teo, Thompson S. H. & Lim, Vivien K. G. & Lai, Raye Y. C., 1999. "Intrinsic and extrinsic motivation in Internet usage," Omega, Elsevier, vol. 27(1), pages 25-37, February.
    8. Hernández-García, Ángel & Iglesias-Pradas, Santiago & Fernández-Cardador, Pedro, 2016. "Causal recipes for acceptance and refusal of corporate blogs," Journal of Business Research, Elsevier, vol. 69(4), pages 1492-1497.
    9. Yvonne O’ Connor & Philip O’ Reilly, 0. "Examining the infusion of mobile technology by healthcare practitioners in a hospital setting," Information Systems Frontiers, Springer, vol. 0, pages 1-21.
    10. Choi, Jayoung & Geistfeld, Loren V., 2004. "A cross-cultural investigation of consumer e-shopping adoption," Journal of Economic Psychology, Elsevier, vol. 25(6), pages 821-838, December.
    11. Godwin Udo & Kallol Bagchi & Moutusy Maity, 2016. "Exploring Factors Affecting Digital Piracy Using the Norm Activation and UTAUT Models: The Role of National Culture," Journal of Business Ethics, Springer, vol. 135(3), pages 517-541, May.
    12. Teo, Thompson S. H. & Lee-Partridge, Joo Eng, 2001. "Effects of error factors and prior incremental practice on spreadsheet error detection: an experimental study," Omega, Elsevier, vol. 29(5), pages 445-456, October.
    13. repec:eee:touman:v:46:y:2015:i:c:p:528-545 is not listed on IDEAS
    14. Herbjørn Nysveen & Per Egil Pedersen, 2016. "Consumer adoption of RFID-enabled services. Applying an extended UTAUT model," Information Systems Frontiers, Springer, vol. 18(2), pages 293-314, April.


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