The DOI matches its Crossref record.
The validity of computational models in organization science: From model realism to purpose of the model
Overview
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Citations
Cited by
Optimal structure, market dynamism, and the strategy of simple rules
Davis, J. P., Eisenhardt, K. M., & Bingham, C. B. (2009) · Administrative Science Quarterly · doi:10.2189/asqu.2009.54.3.413 · Cited by 804
“This is consistent with empirical research showing that heuristics are learned quickly and stabilize rapidly (Bingham, Eisenhardt, and Davis, 2009) and that real-time, improvisational learning is often not retained in new heuristics (Weick, 1996; Moorman and Miner, 1998).”
BackgroundMethodInfluentialSpeed and Search: Designing Organizations for Turbulence and Complexity
Siggelkow, N., & Rivkin, J. W. (2005) · Organization Science · doi:10.1287/orsc.1050.0116 · Cited by 734
Metadata
- Authors
- Burton, R. M., & Obel, B.
- Venue
- Computational and Mathematical Organization Theory
- Published
- 1995-10
- Volume
- 1
- Issue
- 1
- Pages
- 57-71
- ISSN
- 1381-298X (ISSN-L)
- 1572-9346
- OpenAlex
- W1973429012
- Cited by
- 185
- References
- 0
- FWCI
- 4.07
- Type
- journal article
- Language
- en
- Open access
- closed
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.
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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.
