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Unprogrammed Decision Making.
Abstract
The management of most company's daily operations abounds with highly programmed decisions: Consider merely the highly routinized rules that normally guide the everyday management of inventories, production schedules, machine and manpower allocations, cost estimation, mark-up pricing, etc. The more famous scientific description of a case of highly programmed decision making is perhaps G.P.E. Clarkson's, in which it was demonstrated that the portfolio selection decisions made by a bank trust investment officer were so well programmed that his decisions could be predicted by a computer, six months after his investment rules had been elicited by an interviewee.[2] This study, in contrast. focuses on highly unprogrammed decision making. This is a subject that usually gets relegated to the mystical realm, managerial
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Cited by
Chapman, D. S., Uggerslev, K. L., Carroll, S. A., Piasentin, K. A., & Jones, D. A. (2005) · Journal of Applied Psychology · doi:10.1037/0021-9010.90.5.928 · Cited by 1,182
Jones, D. A., Willness, C. R., & Madey, S. (2014) · Academy of Management Journal · doi:10.5465/amj.2011.0848 · Cited by 722
Why Are Individuals Attracted to Organizations?
Ehrhart, K. H., & Ziegert, J. C. (2005) · Journal of Management · doi:10.1177/0149206305279759 · Cited by 375
JOB SEARCH BEHAVIOR OF EMPLOYED MANAGERS
BRETZ, R. D., BOUDREAU, J. W., & JUDGE, T. A. (1994) · Personnel Psychology · doi:10.1111/j.1744-6570.1994.tb01725.x · Cited by 297
Developing a process model of problem recognition
Cowan, D. A. (1986) · The Academy of Management Review · doi:10.2307/258395 · Cited by 257
Metadata
- Authors
- Soelberg, P.
- Venue
- Academy of Management Proceedings
- Publisher
- Academy of Management
- Published
- 1966-12
- Volume
- 1966
- Issue
- 1
- Pages
- 3-16
- ISSN
- 0065-0668 (ISSN-L)
- 2151-6561
- OpenAlex
- W1983269138
- Cited by
- 232
- References
- 0
- Type
- conference abstract
- Language
- en
- Open access
- closed
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- Soelberg, P. (1966). Unprogrammed Decision Making. Academy of Management Proceedings. https://doi.org/10.5465/ambpp.1966.4980853
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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.
