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Expectancy Theory as an Explanation of Voluntary Use of a Decision-Support System
Abstract
In a laboratory setting, predicted motivation or “force” to use a decision-support system was related to later measures of actual system use. Results suggest support for the hypothesized model and imply that constructs of expectancy theory may offer some explanatory power in theoretical models of users' behavior.
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Citations
Cited by
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
Personal Computing: Toward a Conceptual Model of Utilization1
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991) · MIS Quarterly · doi:10.2307/249443 · Cited by 3,814
A Model of the Antecedents of Perceived Ease of Use: Development and Test
Venkatesh, V., & Davis, F. D. (1996) · Decision Sciences · doi:10.1111/j.1540-5915.1996.tb01822.x · Cited by 3,802
Davis, F. D., & Venkatesh, V. (2004) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2003.822468 · Cited by 582
Metadata
- Authors
- De Sanctis, G.
- Venue
- Psychological Reports
- Publisher
- SAGE Publications
- Published
- 1983-02
- Volume
- 52
- Issue
- 1
- Pages
- 247-260
- ISSN
- 0033-2941 (ISSN-L)
- 1558-691X
- OpenAlex
- W2489202599
- Cited by
- 160
- References
- 0
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- De Sanctis, G. (1983). Expectancy Theory as an Explanation of Voluntary Use of a Decision-Support System. Psychological Reports. https://doi.org/10.2466/pr0.1983.52.1.247
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.