Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy—An Empirical Assessment

Ritu Agarwal (), V. Sambamurthy () and Ralph M. Stair ()
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Ritu Agarwal: Decision and Information Technologies, The Robert H. Smith School of Business, The University of Maryland, College Park, Maryland 20742-1815
V. Sambamurthy: Decision and Information Technologies, The Robert H. Smith School of Business, The University of Maryland, College Park, Maryland 20742-1815
Ralph M. Stair: College of Business, The Florida State University, Tallahassee, Florida 32306-1110

Information Systems Research, 2000, vol. 11, issue 4, 418-430

Abstract: The concept of computer self-efficacy (CSE) recently has 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 using structural equation modeling techniques. Results largely support the relationships posited.

Keywords: computer self-efficacy; technology acceptance; software training; longitudinal study; causal model (search for similar items in EconPapers)
Date: 2000
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Citations: View citations in EconPapers (46)

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