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A survey of decision support system applications (1988–1994)
Abstract
To extend a previous survey of specific decision support system (DSS) applications over the period (January 1971–April 1988), we have conducted a follow-up survey of DSS applications published between May 1988 and December 1994. Two hundred seventy-one published applications are identified. This survey reveals that there appear to be more creative applications of optimisation and suggestion model-based DSS than simulation-based applications. This is evidenced by a proportional increase of optimisation and suggestion models and a decrease of representation models. Moreover, group decision support systems, executive support systems, and knowledge-based systems applications are becoming more prevalent in many organisations. Although management science (MS)/operational research (OR) models continue to play critical roles, there is a clear observable trend in the DSS model area that three non-MS/OR tools are emerging as powerful DSS tools: graphics, artificial intelligence, and visual interactive modeling.
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Cited by
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Metadata
- Authors
- Eom, S. B., Lee, S. M., Kim, E. B., & Somarajan, C.
- Venue
- Journal of the Operational Research Society
- Publisher
- Informa UK Limited
- Published
- 1998-02
- Volume
- 49
- Issue
- 2
- Pages
- 109-120
- ISSN
- 0160-5682 (ISSN-L)
- 1476-9360
- OpenAlex
- W2348265989
- Cited by
- 219
- References
- 0
- FWCI
- 11.39
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A survey of decision support system applications (1988–1994). https://app.cochat.ai/papers/10.1057/palgrave.jors.2600507
- The paper
- Eom, S. B., Lee, S. M., Kim, E. B., & Somarajan, C. (1998). A survey of decision support system applications (1988–1994). Journal of the Operational Research Society. https://doi.org/10.1057/palgrave.jors.2600507
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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.
