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Computer self-efficacy is a crucial component of training efforts and an important determinant of performance in computer tasks. We incorporate this important construct into the nomological network of performance in computer-supported tasks that require both functional and technology skills for successful completion. Computer self-efficacy is modeled in interaction with task and more particularized efficacy judgments, directly affecting performance in the focal task. The comprehensive model developed here provides a clear link between interventions on self-efficacy and performance in organizational settings. Our research also contributes to our understanding of the interplay between self-efficacy judgments related to functional and technological competences, as well as the positioning of more proximal and distal evaluations. We also argue for the consideration of differences in the extent to which tasks rely on technology for their performance, and show that has an impact on the relationships modeled between various self-efficacy judgments and task performance.
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Aguirre‐Urreta et al. (2025) studied this question.
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