Understanding computer self efficacy and its role in predicting attitutes to technological change

Parker, Erin (). Understanding computer self efficacy and its role in predicting attitutes to technological change M.Sc Thesis, School of Psychology, The University of Queensland.

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Author Parker, Erin
Thesis Title Understanding computer self efficacy and its role in predicting attitutes to technological change
School, Centre or Institute School of Psychology
Institution The University of Queensland
Thesis type M.Sc Thesis
Supervisor Prashant Bordia
Total pages 73
Language eng
Subjects L
380100 Psychology
Formatted abstract

There were two main aims of this research. The first was to test an integrated model of attitudes to technological change and the second was to investigate how people form computer self efficacy judgements and how these may change over the course of a technological change. A longitudinal survey based study amongst the clerical workers at a medium sized private hospital was conducted. The survey was designed to measure the antecedents of attitudes to technological change and the predictors of computer self efficacy. Forty one members of staff from the four main administrative sections of the hospital participated in the first survey. This was distributed four months prior to a major technological change in the hospital's administrative systems. 36 members of staff from the same sections participated in the second survey distributed two months prior to the change. The integrated model predicted that event characteristics (uncertainty and communication) and the individual appraisal of their computer self efficacy would have combined power to predict attitudes to technological change. Anxiety was thought to mediate the rel<1.tionship. This model was tested over two periods in the change process. Results suggest that the static integrated model of attitudes to change is not appropriate in a dynamic change context. Only anxiety predicted attitudes to technological change at the early stages and failed to predict attitudes at the later stages. At the later stages of the change, both computer self efficacy and uncertainty become important predictors. Uncertainty and level of communication was found to predict anxiety over both times. The Results also showed that, despite considerable construct overlap between the enactive mastery variable and the task characteristic variable - task difficulty, a sense of mastery was the most important predictor of computer self efficacy at both stages of technological change. The task characteristic - task novelty was not at all important in the prediction of computer self efficacy and emotional arousal, similar to anxiety, was only important in making efficacy judgements at the early stages of the change. The implications of these results for managing technological change and developing computer self efficacy are discussed.

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Document type: Thesis
Collection: UQ Theses (non-RHD) - UQ staff and students only
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Created: Thu, 10 Apr 2014, 14:49:50 EST by Mr Chinh Nguyen on behalf of Scholarly Communication and Digitisation Service