Systems developers and marketers on their part should supply visibly beneficial systems. The strong direct impact of system’s perceived usefulness and indirect impact of perceived ease of use suggests important strategies for market oriented systems designers and marketers. They should in addition to providing useful systems also deliver user friendly technologies. Since easy to use systems are deemed useful systems and consequently adopted, designers and vendors should not neglect the ease of use factor. This is because albeit this factor has no direct influence on adoption, it anchors perceived usefulness, which directly predicts adoption.
In conclusion, it is germane to reiterate some of the discoveries made in this study. Women
entrepreneurs are outcome oriented in their technology adoption decisions. They focus more on
the beneficial outcomes rather than on ease or difficulty of use process. They emphasize the end
rather than the means to the end, which is contrary to what has been reported for other women
(non-entrepreneurs) in previous research.
Innovativeness and risk-taking propensity are
influential traits in technology adoption decisions. These traits can be capitalised on in
attempting to create a favourable environment for computer technology adoption among
Malaysia women entrepreneurs. Hence, entrepreneurial traits, user perceptions of system’s
usefulness and (indirectly) ease of use are potent keys to understanding the technology adoption
decision processes of women entrepreneurs in Malaysia.
REFERENCES
Adams, D., Nelson R.R., & Todd, P. (1992). Perceived Usefulness, Ease of Use, and Usage of
Information Technology: A Replication. MIS Quarterly, 16(2), 227-248.
Agarwal, R. & Prasad, J. (1997). The Role of Innovation Characteristics and
PerceivedVoluntariness in the Acceptance of Information Technologies. Decision Sciences,
28, 557-582.
Agarwal, R. & Prasad, J. (1998). A Conceptual and Operational Definition of Personal
Innovativeness in the Domain of Information Technology. Information Systems Research, 9,
204-215.
Ajzen, I. (1991). The Theory of Planned Behaviour. Organisational Behaviour and Human
DecisionProcesses, 50, 179-211.
Ajzen, I. & Fishbein, M. (1980). Understanding Attitudes and Predicting Social
Behaviour, Englewood Cliffs, New Jersey: Prentice-Hall Inc.
Bem, S.L. (1981). The BSRI and Gender Schema Theory: A Reply to Spence and Helmreich.
Psychological Review, 88, 369-371.
Bentler, P.M. & Speckart, G. (1979). Models of Attitude-Behaviour Relations. Psychological
Review, Vol. 86, pp. 542-464.
Bozionelos, N. (1996). Psychology of Computer Use: XXXIX. Prevalence of Computer Anxiety
in British Managers and Professionals. Psychological Reports, 78(3), 995-1002.
Burch, J.G. (1986). Enrepreneurship. New York: Wiley.
Brancheau, J.C. & Wetherbe, J.C. (1990). The Adoption of Spreadsheet Technology: Testing
Innovation Diffusion Theory in the Context of End-user Computing. Information Systems
Research, 1(2), 115-143.
Chen, M. (1985). Gender Differences in Adolescents Uses of Attitudes toward Computers. In
M. McLaughlan (Ed), Communication Yearbook, Vol. 10, pp. 200-216, Sage Publications:
Beverly Hills, CA.
