The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Organizational Context and the Success of Management Information Systems
Abstract
This paper identifies the organizational context variables affecting the success and failure of MIS. The variables are categorized as uncontrollable, partially controllable and controlled, and a conceptual scheme is suggested. In addition, current information on these variables and the interactions between them is surveyed; propositions are stated concerning relationships between the variables and the success or failure of MIS.
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Citations
Cites
Management Information Systems: Appreciation and Involvement
Swanson, E. B. (1974) · Management Science · doi:10.1287/mnsc.21.2.178 · Cited by 529
Cited by
An Integrated Model of Information Systems Adoption in Small Businesses
Thong, J. Y. L. (1999) · Journal of Management Information Systems · doi:10.1080/07421222.1999.11518227 · Cited by 1,727
Kuan, K. K. Y., & Chau, P. Y. K. (2001) · Information & Management · doi:10.1016/s0378-7206(01)00073-8 · Cited by 1,335
Determinants of success for computer usage in small business
DeLone, W. H. (1988) · MIS Quarterly · doi:10.2307/248803 · Cited by 703
Developing a multidimensional measure of system-use in an organizational context
Doll, W. J., & Torkzadeh, G. (1998) · Information & Management · doi:10.1016/s0378-7206(98)00028-7 · Cited by 334
Rajan, C. A., & Baral, R. (2015) · IIMB Management Review · doi:10.1016/j.iimb.2015.04.008 · Cited by 234
Metadata
- Authors
- Ein-Dor, P., & Segev, E.
- Venue
- Management Science
- Published
- 1978-06
- Volume
- 24
- Issue
- 10
- Pages
- 1064-1077
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2086007337
- Cited by
- 551
- References
- 1
- FWCI
- 35.68
- 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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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.
