The DOI matches its Crossref record.
Consistency and Optimality in Managerial Decision Making
Abstract
This paper reports some research, ideas, and theory about managerial decision making. The first research projects dealt with are aggregate production and employment scheduling. From this is developed the idea that management's own (past) decisions can be incorporated into a system of improving their present decisions. Decision rules are developed, with the coefficients in the rules derived from management's past decisions (rather than from a cost or value model). Half a dozen test cases are used to illustrate and test these ideas (theory). Some rationale about decision making in organizations and criteria surfaces is supplied to help interpret the major ideas presented.
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Citations
Cited by
Handley, S. M., & Angst, C. M. (2015) · Strategic Management Journal · doi:10.1002/smj.2300 · Cited by 213
Judgmental bootstrapping: Inferring experts' rules for forecasting
Armstrong, J. S. (2001) · International Series in Operations Research & Management Science · doi:10.1007/978-0-306-47630-3_9 · Cited by 78
Metadata
- Authors
- Bowman, E. H.
- Venue
- Management Science
- Published
- 1963-01
- Volume
- 9
- Issue
- 2
- Pages
- 310-321
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2161964929
- Cited by
- 388
- References
- 0
- FWCI
- 10.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Consistency and Optimality in Managerial Decision Making. https://app.cochat.ai/papers/10.1287/mnsc.9.2.310
- The paper
- Bowman, E. H. (1963). Consistency and Optimality in Managerial Decision Making. Management Science. https://doi.org/10.1287/mnsc.9.2.310
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.
