Social Influence in the Adoption Process and Usage of Innovation: Gender Differences
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.
[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.
[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.
@article{"International Journal of Business, Human and Social Sciences:60922", author = "S. Güzin Mazman and Yasemin Koçak Usluel and Vildan Çevik", title = "Social Influence in the Adoption Process and Usage of Innovation: Gender Differences", 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.", volume = "3", number = "1", pages = "115-4", }