The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Designing organizations for competitive advantage: The power of unlearning and learning
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Citations
Cites
A Dynamic Theory of Organizational Knowledge Creation
Nonaka, I. (1994) · Organization Science · doi:10.1287/orsc.5.1.14 · Cited by 17,809
Cited by
Organizational learning capability: A proposal of measurement
Jerez-Gómez, P., Céspedes-Lorente, J., & Valle-Cabrera, R. (2005) · Journal of Business Research · doi:10.1016/j.jbusres.2003.11.002 · Cited by 765
The role of organizational learning in the opportunity-recognition process
Lumpkin, G. T., & Lichtenstein, B. B. (2005) · Entrepreneurship Theory and Practice · doi:10.1111/j.1540-6520.2005.00093.x · Cited by 590
Heuristics as adaptive decision strategies in management: HEURISTICS IN MANAGEMENT
Artinger, F., Petersen, M., Gigerenzer, G., & Weibler, J. (2015) · Journal of Organizational Behavior · doi:10.1002/job.1950 · Cited by 255
García‐Morales, V. J., Matías‐Reche, F., & Hurtado‐Torres, N. (2008) · Journal of Organizational Change Management · doi:10.1108/09534810810856435 · Cited by 254
Metadata
- Authors
- Lei, D., Slocum, J. W., & Pitts, R. A.
- Venue
- Organizational Dynamics
- Publisher
- Elsevier BV
- Published
- 1999-12
- Volume
- 27
- Issue
- 3
- Pages
- 24-38
- ISSN
- 0090-2616 (ISSN-L)
- OpenAlex
- W2012068871
- Cited by
- 362
- References
- 1
- FWCI
- 17.63
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Designing organizations for competitive advantage: The power of unlearning and learning. https://app.cochat.ai/papers/10.1016/s0090-2616(99)90019-0
- The paper
- Lei, D., Slocum, J. W., & Pitts, R. A. (1999). Designing organizations for competitive advantage: The power of unlearning and learning. Organizational Dynamics. https://doi.org/10.1016/s0090-2616(99)90019-0
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.