The Role of Gender on the Development of General Ability in Use of Computers: a Study with University Students

Authors

  • Felipe Buchbinder Ebape/FGV
  • Walter Sande EMAp/FGV

DOI:

https://doi.org/10.37467/gka-revtechno.v4.897

Keywords:

IT, Learning, Gender

Abstract

Several studies aim at understanding the factors that determinate weather an innovation on information technology (IT)  will  be  well  received  and  effectively  used.  Gender  has  been  pointed  as  one  of  these  factors,  but  its  role  has  been  the subject of different and contradictory conclusions. This article performs an empirical study on some of the justifications most commonly accepted by those who support a significant influence of gender. The results point to the existence of a significantrole of gender, but find no evidence that support the reasoning usually used. The results actually point to a new mechanism proposed in this article.

References

Bandura, A. (1977). Self-efficacy: Toward a Unifying Theory of Behavioral Change. Psychological Review, 84, pp. 191-215.

Beyer, S. (2008). Gender differences and intra-gender differences amongst management information systems students, Journal of Information Systems Education, 19 (3), pp. 301-310.

Burson, K.; Larrick, R. e Klayman, J. (2006). Skilled or unskilled, but still unaware of it: how perceptions of difficulty drive miscalibration in relative comparisons. Journal of Personality and Social Psychology, 90 (1), pp. 60–77.

Busch, T. (1995). Gender differences in self-efficacy and attitudes toward computers. Journal of Educational Computing Research, 12 (2), pp. 147–158.

Busch, T. (1996). Gender, group composition, cooperation and self-efficacy in computer studies. Journal of Educational Computer Research, 5 (2), pp. 125-135.

Gilbert, D.; Lee-Kelley, L. e Barton, M. (2003). Technophobia, gender influences and consumer decision making for technology-related products. European Journal of Innovation Management, 6 (4), pp. 253-263.

Hair, J. F.; Anderson, R. E. e Tatham, R. L. (1987). Multivariate data analysis . New York: Macmillan.

Hair, J. F.; Black, W. C.; Babin, B. J. e Anderson, R. E. (2009). Multivariate data analysis . Upper Saddle River, NJ: Prentice Hall.

Harrison, A. W. e Rainer, R. K., Jr. (1992). The Influence of Individual Differences on Skill in End- User Computing. Journal of Management Information Systems, 9 (1), pp. 93-111.

Hassan, B. (2003). The influences of specific computer experiences of computer self-efficacy beliefs. Computers in human behavior, 19, pp. 443-450.

Hayes, A. F. e Preacher, K. J. (2010). Quantifying and testing indirect effects in simple mediation models when the constituent paths are nonlinear. Multivariate Behavioral Research, 45 (4), pp. 627-660.

He, J. e Freeman, L. A. (2010). Are Men More Technology-Oriented Than Women? The Role of Gender on the Development of General Computer Self-efficacy of College Students. Journal of Information Systems Education, 21 (2), pp. 203-212.

Holland, P. W. e Wainer, H. (1993). Differential item functioning . New Jersey: Routlege.

Igbaria, M. e Iivari, J. (1995). The effects of self-efficacy on computer usage. Omega, 23 (6), pp. 587-605.

Kock, N. (2011). WarpPLS 2.0 User Manual .

Kruger, J. e Dunning, D. (1999). Unskilled and Unaware of It: How Difficulties in Recognizing One's Own Incompetence Lead to Inflated Self-Assessments. Journal of Personality and Social Psychology, 77 (6), pp. 1121–1134.

Morrow, P. C.; Presll, E. R., e Mcelroy, J. C. (1986). Attitudinal and behavioral correlates of computer anxiety. Psychological Reports, 59, pp. 1199-1204.

Onwuegbuzie, A. J. e Wilson, V. A. (2003). Statistics Anxiety: Nature, etiology, antecedents, effects, and treatments: a comprehensive review of the literature. Teaching in Higher Education, 8 (2), pp. 195-209.

Piaget, J. (1971). A Epistemologia Genética . Petrópolis: Vozes.

Preacher, K. J. e Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers , 36 (4), pp. 717-731.

Staples, D. S.; Hulland, J. S. e Higgins, C. A. (1999). A self-efficacy theory explanation for the management of remote workers in virtual organizations. Organization Science, 10 (6), pp. 758-776.

Taylor, S. e Todd, P. A. (2001). Understanding information technology usage: a test of competing models. Information systems research, 6 (2), pp. 144-176.

Thatcher, J. B. e Perrewe, P. L. (2002). An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Quarterly, 26 (4), pp. 381-396.

Venkatesh, V. e Morris, M. G. (2000). Why Don't Men Ever Stop to Ask For Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior. MIS Quarterly, 24 (1), pp. 115-139.

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Published

2016-06-03

How to Cite

Buchbinder, F., & Sande, W. (2016). The Role of Gender on the Development of General Ability in Use of Computers: a Study with University Students. TECHNO REVIEW. International Technology, Science and Society Review Revista Internacional De Tecnología, Ciencia Y Sociedad, 4(1), 69–83. https://doi.org/10.37467/gka-revtechno.v4.897

Issue

Vol. 4 No. 1 (2015)

Section

Research articles

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