The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Absorptive Capacity, Environmental Turbulence, and the Complementarity of Organizational Learning Processes
Abstract
Following the process-based definition of absorptive capacity, this article identifies technological and market knowledge as two critical components of prior knowledge in the organizational learning processes of absorptive capacity. Data from a multi-informant survey conducted in 175 industrial firms show that exploratory, transformative, and exploitative learning have complementary effects on innovation and performance. The results emphasize the multidimensional nature of absorptive capacity, and they help to explain interfirm discrepancies in profiting from external knowledge. Moreover, the findings underscore the importance of dynamic capabilities in contexts characterized by high degrees of technological and market turbulence.
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Cites
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Cited by
Anderson, N., Potočnik, K., & Zhou, J. (2014) · Journal of Management · doi:10.1177/0149206314527128 · Cited by 3,103
Bibliometric analysis of absorptive capacity
Apriliyanti, I. D., & Alon, I. (2017) · International Business Review · doi:10.1016/j.ibusrev.2017.02.007 · Cited by 359
How do large multinational companies implement open innovation?
Mortara, L., & Minshall, T. (2011) · Technovation · doi:10.1016/j.technovation.2011.05.002 · Cited by 301
Metadata
- Authors
- Lichtenthaler, U.
- Venue
- Academy of Management Journal
- Publisher
- Academy of Management
- Published
- 2009-08
- Volume
- 52
- Issue
- 4
- Pages
- 822-846
- ISSN
- 0001-4273 (ISSN-L)
- 1948-0989
- OpenAlex
- W1966318685
- Cited by
- 961
- References
- 10
- FWCI
- 180.15
- Type
- journal article
- Language
- en
- Status
- Retracted
- Open access
- closed
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- Lichtenthaler, U. (2009). Absorptive Capacity, Environmental Turbulence, and the Complementarity of Organizational Learning Processes. Academy of Management Journal. https://doi.org/10.5465/amj.2009.43670902
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.
