Date of Award:

5-2016

Document Type:

Dissertation

Degree Name:

Doctor of Philosophy (PhD)

Department:

Applied Sciences, Technology, and Education

Department name when degree awarded

Education

Committee Chair(s)

Robert J. Mills

Committee

Robert J. Mills

Committee

Jeffrey J. Johnson

Committee

John D. Johnson

Committee

David H. Olsen

Committee

Christopher Fawson

Abstract

The purpose of this study was to determine if a prominent theoretical model, the Unified Theory of Acceptance and Use of Technology (UTAUT), which is used to predict the likelihood that users would adopt a given technology, could be improved by adding a training reactions component as outlined in prominent training theory.

Online pre- and post-training surveys were received from 111 students who participated in face-to-face training on Structured Query Language (SQL) during spring 2014 and 2015 semesters. Survey questions were created from previously validated technology acceptance and training studies. From these responses, the basic structure of the original UTAUT model was partially confirmed.

The conclusions drawn from this study were that users’ training reactions both before and after receiving training significantly impacted their intention to use information technology. The study indicates that as training reactions increase, users’ intentions to use the technology increases as well. Interestingly, when the original UTAUT model was evaluated, only the expectation that it would improve their on-the-job performance was found to be a significant predictor of their intention to use the information technology. The amount effort required to learn the technology, social influence from those important to the user, and other miscellaneous supporting resources did not significantly impact their intention to use the information technology. Finally, neither gender nor computer experience had a significant impact on any of the predicting variables from the original UTAUT model nor did they have an impact on training reactions.

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