The DOI matches its Crossref record.
Training End Users: An Exploratory Study
Abstract
This article presents and empirically evaluates a conceptual model of how training can impact the acceptance of information systems within the organization. Specifically, the training of end users is explored via an extensive field study of 100 middle- and upper-level managers from 20 companies. The results indicate that (1) a positive relationship exists between the computer-related training an individual receives and his/her computer-related ability, and (2) a positive relationship exists between the computer-related ability of an end user and his/her acceptance of information systems products and technologies.
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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
A taxonomy of players and activities across the ERP project life cycle
Somers, T. M., & Nelson, K. G. (2004) · Information & Management · doi:10.1016/s0378-7206(03)00023-5 · Cited by 694
Information System Success: Individual and Organizational Determinants
Sabherwal, R., Jeyaraj, A., & Chowa, C. (2006) · Management Science · doi:10.1287/mnsc.1060.0583 · Cited by 685
Al-Gahtani, S. S., & King, M. (1999) · Behaviour & Information Technology · doi:10.1080/014492999119020 · Cited by 519
The Influence of Individual Differences on Skill in End-User Computing
Harrison, A. W., & Rainer, R. K. (1992) · Journal of Management Information Systems · doi:10.1080/07421222.1992.11517949 · Cited by 498
Metadata
- Authors
- Nelson, R. R., & Cheney, P. H.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 1987-12-01
- Volume
- 11
- Issue
- 4
- Pages
- 547-559
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W2154163681
- Cited by
- 373
- References
- 0
- FWCI
- 51.85
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Training End Users: An Exploratory Study. https://app.cochat.ai/papers/10.2307/248985
- The paper
- Nelson, R. R., & Cheney, P. H. (1987). Training End Users: An Exploratory Study. MIS Quarterly. https://doi.org/10.2307/248985
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.
