The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
An empirical study of the impact of user involvement on system usage and information satisfaction
Open accessAbstract
"User involvement" in information system development is generally considered an important mechanism for improving system quality and ensuring successful system implementation. The common assumption that user involvement leads to system usage and/or information satisfaction is examined in a survey of 200 production managers. Alternative models exploring the causal ordering of the three variables are developed and tested via path analysis. The results demonstrate that user involvement in the development of information systems will enhance both system usage and the user's satisfaction with the system. Further, the study provides evidence that the user's satisfaction with the system will lead to greater system usage.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
MIS problems and failures: A socio- technical perspective
Bostrom, R. P., & Heinen, J. S. (1977) · MIS Quarterly · doi:10.2307/248710 · Cited by 1,329
User Involvement and MIS Success: A Review of Research
Ives, B., & Olson, M. H. (1984) · Management Science · doi:10.1287/mnsc.30.5.586 · Cited by 1,318
Self-citationManagement Information Systems: Appreciation and Involvement
Swanson, E. B. (1974) · Management Science · doi:10.1287/mnsc.21.2.178 · Cited by 529
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
Task-Technology Fit and Individual Performance
Goodhue, D. L., & Thompson, R. L. (1995) · MIS Quarterly · doi:10.2307/249689 · Cited by 6,006
Explaining the Role of User Participation in Information System Use
Hartwick, J., & Barki, H. (1994) · Management Science · doi:10.1287/mnsc.40.4.440 · Cited by 1,540
Survey research methodology in management information systems: an assessment
Pinsonneault, A., & Kraemer, K. (1993) · Journal of Management Information Systems · doi:10.1080/07421222.1993.11518001 · Cited by 1,288
User involvement: A review of the benefits and challenges
Kujala, S. (2003) · Behaviour & Information Technology · doi:10.1080/01449290301782 · Cited by 943
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
An Assessment of the Contingency Theory of Management Information Systems
Weill, P., & Olson, M. H. (1989) · Journal of Management Information Systems · doi:10.1080/07421222.1989.11517849 · Cited by 351
Self-citationCho, Y. C., & Sagynov, E. (2015) · International Journal of Management & Information Systems (IJMIS) · doi:10.19030/ijmis.v19i1.9086 · Cited by 313
Persuasiveness of expert systems
Dijkstra, J. J., Liebrand, W. B. G., & Timminga, E. (1998) · Behaviour & Information Technology · doi:10.1080/014492998119526 · Cited by 161
Factors influencing consumer intention in social commerce adoption.
Akman, I., & Mishra, A. (2017) · Information Technology & People · doi:10.1108/itp-01-2016-0006 · Cited by 158
Teacher Training Institute, M., Cheok, M. L., Wong, S. L., & Faculty of Educational Studies, U. P. M. (2015) · International Journal of Instruction · doi:10.12973/iji.2015.816a · Cited by 127
Productivity enhancement from computer-mediated communication: a systems contingency approach
Hiltz, S. R. (1988) · Communications of the ACM · doi:10.1145/53580.53583 · Cited by 91
A methodology for shifting the focus of e-health support design onto user needs
De Rouck, S., Jacobs, A., & Leys, M. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2007.11.004 · Cited by 70
An investigation into the implementation factors affecting the success of big data systems
Cato, P., Golzer, P., & Demmelhuber, W. (2015) · 2015 11th International Conference on Innovations in Information Technology (IIT) · doi:10.1109/innovations.2015.7381528 · Cited by 20
Metadata
- Authors
- Baroudi, J. J., Olson, M. H., & Ives, B.
- Venue
- Communications of the ACM
- Published
- 1986-03
- Volume
- 29
- Issue
- 3
- Pages
- 232-238
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2037021532
- Cited by
- 894
- References
- 3
- FWCI
- 84.90
- Type
- journal article
- Language
- en
- Open access
- bronze
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.