The DOI matches its Crossref record.
Organizations as Action Generators
Abstract
Most of the time, organizations generate actions unreflectively and nonadaptively. To justify their actions, organizations create problems, successes, threats and opportunities. These are ideological molecules that mix values, goals, expectations, perceptions, theories, plans, and symbols. The molecules form while people are result watching, guided by the beliefs that they should judge results good or bad, look for the causes of results, and propose needs for action. Because organizations modify their behavior programs mainly in small increments that make sense to top managers, they change too little and inappropriately, and nearly all organizations disappear within a few years.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Organizational learning: The contributing processes and the literatures
Huber, G. P. (1991) · Organization Science · doi:10.1287/orsc.2.1.88 · Cited by 8,072
KEEPING AN EYE ON THE MIRROR: IMAGE AND IDENTITY IN ORGANIZATIONAL ADAPTATION.
Dutton, J. E., & Dukerich, J. M. (1991) · Academy of Management Journal · doi:10.2307/256405 · Cited by 2,931
Teece, D., Peteraf, M., & Leih, S. (2016) · California Management Review · doi:10.1525/cmr.2016.58.4.13 · Cited by 2,317
Using Paradox to Build Management and Organization Theories
Poole, M. S., & van de Ven, A. H. (1989) · The Academy of Management Review · doi:10.5465/amr.1989.4308389 · Cited by 1,905
DEVELOPING INNOVATION CAPABILITY IN ORGANISATIONS: A DYNAMIC CAPABILITIES APPROACH
LAWSON, B., & SAMSON, D. (2001) · International Journal of Innovation Management · doi:10.1142/s1363919601000427 · Cited by 1,581
Sarta, A., Durand, R., & Vergne, J.-P. (2021) · Journal of Management · doi:10.1177/0149206320929088 · Cited by 264
Staber, U. (2001) · Regional Studies · doi:10.1080/00343400125106 · Cited by 201
Structural Evolution Through Idiosyncratic Jobs: The Potential for Unplanned Learning
Miner, A. S. (1990) · Organization Science · doi:10.1287/orsc.1.2.195 · Cited by 137
Preparing for the worst: the process of effective crisis management
Reilly, A. H. (1993) · Industrial & Environmental Crisis Quarterly · doi:10.1177/108602669300700204 · Cited by 89
Metadata
- Authors
- Starbuck, W. H.
- Venue
- American Sociological Review
- Publisher
- SAGE Publications
- Published
- 1983-02
- Volume
- 48
- Issue
- 1
- Pages
- 91
- ISSN
- 0003-1224 (ISSN-L)
- OpenAlex
- W3122267228
- Cited by
- 653
- References
- 0
- FWCI
- 25.35
- 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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.
