The Evolving Relationship Between General and Specific Computer Self-Efficacy: An Empirical Assessment
Ritu Agarwal, V. Sambamurthy, and Ralph Stair
For further information on this article contact Ritu Agarwal at ragarwal@rhsmith.umd.edu
Abstract
The concept of computer self-efficacy (CSE) has recently
been proposed as important to the study of individual behavior toward
information technology. This paper extends current understanding about
the concept of self-efficacy in the context of computer software. We describe
how two broad types of computer self-efficacy beliefs, general self-efficacy
and task-specific self-efficacy, are constructed across different computing
tasks by suggesting that initial general CSE beliefs will strongly predict
subsequent specific CSE beliefs. The theorized causal relationships illustrate
the malleability and development of CSE beliefs over time within a training
environment where individuals are progressively provided with greater
opportunity for hands-on experience and practice with different software.
Consistent with the findings of prior research, judgments of self-efficacy
then serve as key antecedents of the perceived cognitive effort (ease
of use) associated with technology usage. Further, we theorize that self-efficacy
judgments in the task domain of computing are strongly influenced by the
extent to which individuals believe that they are personally innovative
with respect to information technology. Panel data were collected using
a longitudinal research design within a training context where 186 subjects
were taught two software packages in a sequential manner over a 14 week
period. The emergent patterns of the hypothesized relationships are examined
utilizing structural equation modeling techniques. Results largely support
the relationships posited.
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