Social Influence in the Adoption Process and Usage of Innovation: Gender Differences
Commenced in January 2007
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Social Influence in the Adoption Process and Usage of Innovation: Gender Differences

Authors: S. Güzin Mazman, Yasemin Koçak Usluel, Vildan Çevik

Abstract:

The purpose of this study is to determine in what ways elementary education prospective teachers are being informed about innovations and to explain the role of social influence in the usage process of a technological innovation in terms of genders. The study group consisted of 300 prospective teachers, including 234 females and 66 males. Data have been collected by a questionnaire developed by the researchers. The result of the study showed that, while prospective teachers are being informed about innovations most frequently by mass media, they rarely seek to take expert advice. In addition, analysis of results showed that the social influence on females were significantly higher than males in usage process of a technological innovation.

Keywords: Gender differences, social influence, adoption, innovation.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1078126

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References:


[1] Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.
[2] Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319- 340.
[3] Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
[4] Isaac, H., Leclercq, A., & Besseyre Des Horts, C. H. (2006). Adoption and appropriation: towards a new theoretical framework. An exploratory research on mobile technologies in french companies. Systèmes d-information Et Management, 11, 9-50.
[5] Kelman, H. C. (1958). Compliance, identification, and internalization: three processes of attitude change. The Journal of Conflict Resolution 2(1). 51-60.
[6] Lin, C., Hu, PJ-H., & Chen, H. (2003). Technology implementation management in law enforcement: COPLINK system usability and user acceptance evaluations. DG.O 2003
[DBLP:conf/dgo/linhcs03].
[7] Malhotra, Y. and Galletta, F. D. (1999). "Extending the technology acceptance model to account for social influence: Theoretical bases and empirical validation". Proceedings of the 32nd Hawaii International Conference on System Sciences.
[8] Moore, G. C., Benbasat, I. (1996). "Integrating diffusion of innovations and theory of reasoned action models to predict utilization of information technology by end-users," in Diffusion and adoption of information technology. K. Kautz and J. Pries-Hege (eds.), Chapman and Hallpp. 132-146. , London.
[9] Rogers, E.(2003). Diffusion of Innovations, Free Press, New York.
[10] Shen, D., Laffey, J., Lin, Y., and Huang, X. (2006). Social Influence for Perceived Usefulness and Ease of Use of Course Delivery Systems. Journal of Interactive Online Learning. 5(3). 270-282.
[11] Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6, 144-176.
[12] Thompson, R. L., Higgins, C. A., Howell, J. M. (1991). "Personal computing: Toward a conceptual model of utilization," MIS Quarterly 15(1). 124-143.
[13] Venkatesh, V., Morris, M. G., Ackerman, P. L. (2000). A longitudinal field investigation of gender differences in individual technology adoption decision-making processes. Organizational Behavior and Human Decision Processes, 83(1), 33-60.
[14] Venkatesh, V., and Davis, F. D. (2000). "A theoretical extension of the technology acceptance model: four longitudinal field studies," Management Science, 45(2), 186-204.
[15] Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.