The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
An Empirical Examination of Individual Traits as Antecedents to Computer Anxiety and Computer Self-Efficacy1
Abstract
To better understand how individual differences influence the use of information technology (IT), this study models and tests relationships among dynamic, IT-specific individual differences (i.e., computer self-efficacy and computer anxiety), stable, situation-specific traits (i.e., personal innovativeness in IT) and stable, broad traits (i.e., trait anxiety and negative affectivity). When compared to broad traits, the model suggests that situation-specific traits exert a more pervasive influence on IT situation-specific individual differences. Further, the model suggests that computer anxiety mediates the influence of situation-specific traits (i.e., personal innovativeness) on computer self-efficacy. Results provide support for many of the hypothesized relationships. From a theoretical perspective, the findings help to further our understanding of the nomological network among individual differences that lead to computer self-efficacy. From a practical perspective, the findings may help IT managers design training programs that more effectively increase the computer self-efficacy of users with different dispositional characteristics.
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Cites
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Self-efficacy: The exercise of control
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Cited by
Trust in a specific technology: An investigation of its components and measures
Mcknight, D. H., Carter, M., Thatcher, J. B., & Clay, P. F. (2011) · ACM Transactions on Management Information Systems · doi:10.1145/1985347.1985353 · Cited by 1,185
Self-citationThe acceptance and use of a virtual learning environment in China
van Raaij, E. M., & Schepers, J. J. L. (2008) · Computers & Education · doi:10.1016/j.compedu.2006.09.001 · Cited by 940
Understanding the effect of e-learning on individual performance: The role of digital literacy
Mohammadyari, S., & Singh, H. (2015) · Computers & Education · doi:10.1016/j.compedu.2014.10.025 · Cited by 496
Hsu, M.-H., Yen, C.-H., Chiu, C.-M., & Chang, C.-M. (2006) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.04.004 · Cited by 490
Factors affecting purchase intention on mobile shopping web sites
Lu, H., & Yu‐Jen Su, P. (2009) · Internet Research · doi:10.1108/10662240910981399 · Cited by 466
Metadata
- Authors
- Thatcher, J. B., & Perrewé, P. L.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2002-12-01
- Volume
- 26
- Issue
- 4
- Pages
- 381-396
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W1555249425
- Cited by
- 755
- References
- 12
- FWCI
- 25.14
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
