The DOI matches its Crossref record.
Uncertainty, Innovation, and Dynamic Capabilities: An Introduction
Abstract
This special issue draws on a range of intellectual roots—ranging from financial economics to organization theory, to design theory, and to human cognition. The goal of this special issue is to bring scholars from different disciplines together with practitioners who have had success applying the framework so as to help other managers lead their organizations to higher levels of performance.
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Citations
Cited by
Schilke, O., Hu, S., & Helfat, C. E. (2018) · Academy of Management Annals · doi:10.5465/annals.2016.0014 · Cited by 1,226
Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019) · British Journal of Management · doi:10.1111/1467-8551.12343 · Cited by 835
The role of information governance in big data analytics driven innovation
Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2020) · Information & Management · doi:10.1016/j.im.2020.103361 · Cited by 260
Akter, S., Wamba, S. F., Mariani, M., & Hani, U. (2021) · Industrial Marketing Management · doi:10.1016/j.indmarman.2021.07.014 · Cited by 108
Metadata
- Authors
- Teece, D., & Leih, S.
- Venue
- California Management Review
- Publisher
- SAGE Publications
- Published
- 2016-08
- Volume
- 58
- Issue
- 4
- Pages
- 5-12
- ISSN
- 0008-1256 (ISSN-L)
- 2162-8564
- OpenAlex
- W2518395320
- Cited by
- 325
- References
- 0
- FWCI
- 44.03
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Uncertainty, Innovation, and Dynamic Capabilities: An Introduction. https://app.cochat.ai/papers/10.1525/cmr.2016.58.4.5
- The paper
- Teece, D., & Leih, S. (2016). Uncertainty, Innovation, and Dynamic Capabilities: An Introduction. California Management Review. https://doi.org/10.1525/cmr.2016.58.4.5
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.