The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Strategies for information requirements determination
Abstract
The problem to which the paper has been directed is the selection of an information requirements determination strategy. In developing the concept of strategy selection, the paper defines two levels of requirements: organizational information requirements and application-level requirements. The constraints on humans as specifiers of information requirements are explored. Four broad strategies for information requirements determination encompass groups of methods. These strategies are (1) asking, (2) deriving from an existing information system, (3) synthesis from characteristics of the utilizing system, and (4) discovering from experimentation with an evolving information system application.
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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
Cited by
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
Risk Management and Agency Theory in is Projects – an Exploratory Study
Phelps, R. (1996) · Journal of Information Technology · doi:10.1057/jit.1996.4 · Cited by 12
Metadata
- Authors
- Davis, G. B.
- Venue
- IBM Systems Journal
- Publisher
- IBM
- Published
- 1982
- Volume
- 21
- Issue
- 1
- Pages
- 4-30
- ISSN
- 0018-8670 (ISSN-L)
- OpenAlex
- W2066900729
- Cited by
- 645
- References
- 1
- FWCI
- 65.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- Davis, G. B. (1982). Strategies for information requirements determination. IBM Systems Journal. https://doi.org/10.1147/sj.211.0004
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.
