This study used a path analysis of longitudinal data collected from 75 manufacturing employees participating in a computer training course, to test a model of the intrapersonal processes impacting computer-related performance. Gender, computer experience, and attributional style were found to be predictive of computer attitudes, which were in turn related to computer efficacy, task-specific performance expectations, and post-performance anxiety. Computer training was effective in raising user efficacy levels and improving computer performance. In addition, post-training efficacy was predictive of subsequent computer performance. Finally, performance outcomes and future performance expectations were predictive of users’ affective reactions.
Computers in Human Behavior – Elsevier
Published: Jan 1, 1999
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