The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
On the Construction of a Multi-Stage, Multi-Person Business Game
Abstract
The subject of this paper is a multi-stage, multi-person business game which will be used for executive training purposes by the American Management Association. A discussion of the basic philosophy of game play, and of the many analytical, computational, and conceptual difficulties encountered in the construction of business games, is followed by a description of the game in question, as actually constructed and played, with particular attention to four features which, it is felt, merit consideration: (1) Absence of an explicit criterion function; (2) Principle of marginal change; (3) Hidden formulas; (4) Minimal computation. The game (which, in a number of preliminary plays with top management participating, has met with a favorable reception) is outlined in some detail with a view to showing how it circumvents or overcomes a number of the obstacles described.
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Citations
Cites
Some aspects of the sequential design of experiments
Robbins, H. (1952) · Bulletin of the American Mathematical Society · doi:10.1090/s0002-9904-1952-09620-8 · Cited by 2,184
Metadata
- Authors
- Bellman, R., Clark, C. E., Malcolm, D. G., Craft, C. J., & Ricciardi, F. M.
- Venue
- Operations Research
- Published
- 1957-08
- Volume
- 5
- Issue
- 4
- Pages
- 469-503
- ISSN
- 0030-364X (ISSN-L)
- 1526-5463
- OpenAlex
- W2004613544
- Cited by
- 323
- References
- 1
- FWCI
- 3.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bellman, R., Clark, C. E., Malcolm, D. G., Craft, C. J., & Ricciardi, F. M. (1957). On the Construction of a Multi-Stage, Multi-Person Business Game. Operations Research. https://doi.org/10.1287/opre.5.4.469
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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.
