The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
User evaluations of IS as surrogates for objective performance
Overview
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Registry
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Statistics
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Claims the paper makes
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Self-check
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Citations
Cites
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
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
Task-Technology Fit and Individual Performance
Goodhue, D. L., & Thompson, R. L. (1995) · MIS Quarterly · doi:10.2307/249689 · Cited by 6,006
Self-citationEmpirical Evaluation of the Revised Technology Acceptance Model
Szajna, B. (1996) · Management Science · doi:10.1287/mnsc.42.1.85 · Cited by 1,656
Cognitive Fit: A Theory‐Based Analysis of the Graphs Versus Tables Literature*
Vessey, I. (1991) · Decision Sciences · doi:10.1111/j.1540-5915.1991.tb00344.x · Cited by 1,263
Cognitive Fit: An Empirical Study of Information Acquisition
Vessey, I., & Galletta, D. (1991) · Information Systems Research · doi:10.1287/isre.2.1.63 · Cited by 705 · cited 2×
“However, both Jarvenpaa [24] and Vessey [37] and Vessey and Galletta [38] made sense of the previously inconclusive ®ndings by arguing thatìncongruence' or a lack-of-®t between task demands and technology characteristics should slow decision processes or lead to greater error or both.”
Background
Cited by
Critical success factors for e-learning acceptance: Confirmatory factor models
Selim, H. M. (2007) · Computers & Education · doi:10.1016/j.compedu.2005.09.004 · Cited by 1,055
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
Ammenwerth, E., Iller, C., & Mahler, C. (2006) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-6-3 · Cited by 459
Wang, H., Tao, D., Yu, N., & Qu, X. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104156 · Cited by 373
Majchrzak, A., Malhotra, A., & John, R. (2005) · Information Systems Research · doi:10.1287/isre.1050.0044 · Cited by 350
Metadata
- Authors
- Goodhue, D. L., Klein, B. D., & March, S. T.
- Venue
- Information & Management
- Publisher
- Elsevier BV
- Published
- 2000-12
- Volume
- 38
- Issue
- 2
- Pages
- 87-101
- ISSN
- 0378-7206 (ISSN-L)
- OpenAlex
- W1998330087
- Cited by
- 287
- References
- 6
- FWCI
- 19.36
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: User evaluations of IS as surrogates for objective performance. https://app.cochat.ai/papers/10.1016/s0378-7206(00)00057-4
- The paper
- Goodhue, D. L., Klein, B. D., & March, S. T. (2000). User evaluations of IS as surrogates for objective performance. Information & Management. https://doi.org/10.1016/s0378-7206(00)00057-4
Data sources
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.
