The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Nontraditional Quality of Organizational Learning
Abstract
The traditional definition of learning as a shift in performance when the stimulus situation remains essentially the same implies a set of conditions that occur rarely in organizations. Thus, either organizational learning is an infrequent event, or it occurs frequently but takes a nontraditional form. Both possibilities are reviewed and implications for research strategy are suggested.
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Bem, D. J. (1972) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60024-6 · Cited by 5,241
Cited by
SECI, Ba and leadership: A unified model of dynamic knowledge creation
Nonaka, I., Toyama, R., & Konno, N. (2000) · Long Range Planning · doi:10.1016/s0024-6301(99)00115-6 · Cited by 4,135
Making public health programs last: conceptualizing sustainability
Pluye, P., Potvin, L., & Denis, J.-L. (2004) · Evaluation and Program Planning · doi:10.1016/j.evalprogplan.2004.01.001 · Cited by 374
The Social Construction of Organizational Learning: Conceptual and Practical Issues in the Field
Nicolini, D., & Meznar, M. B. (1995) · Human Relations · doi:10.1177/001872679504800701 · Cited by 344
Metadata
- Authors
- Weick, K. E.
- Venue
- Organization Science
- Published
- 1991-02
- Volume
- 2
- Issue
- 1
- Pages
- 116-124
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W2069705035
- Cited by
- 507
- References
- 1
- FWCI
- 8.67
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Nontraditional Quality of Organizational Learning. https://app.cochat.ai/papers/10.1287/orsc.2.1.116
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- Weick, K. E. (1991). The Nontraditional Quality of Organizational Learning. Organization Science. https://doi.org/10.1287/orsc.2.1.116
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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.
