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Cited by 401

The DOI matches its Crossref record; 300 of the 300 references it cites were found in a registry or an index.

Organizational Learning Processes and Outcomes: Major Findings and Future Research Directions

Argote, Linda, Lee, Sunkee, Park, Jisoo·2021·Management Science

Abstract

We trace the evolution of research on organizational learning. As organizations acquire experience, their performance typically improves at a decreasing rate. Although this learning-curve pattern is found in many industries, organizations vary in the rate at which they learn. In order to understand this variation, we separate organizational learning into four processes: search, knowledge creation, knowledge retention, and knowledge transfer. Within each process, we present research on how dimensions of experience and of the organizational context affect learning processes and outcomes. Our goals are to describe major findings and to identify opportunities for future research. The article concludes with a discussion of research directions that are likely to be productive in the future. These directions include investigating how new technological and organizational developments are likely to affect organizational learning. This paper was accepted by David Simchi-Levi, Special Section of Management Science: 65th Anniversary.

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Metadata

Authors
Argote, L., Lee, S., & Park, J.
Venue
Management Science
Published
2021-09
Volume
67
Issue
9
Pages
5399-5429
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W3096948557
Cited by
401
References
300
FWCI
30.28
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Organizational Learning Processes and Outcomes: Major Findings and Future Research Directions. https://app.cochat.ai/papers/10.1287/mnsc.2020.3693
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Argote, L., Lee, S., & Park, J. (2021). Organizational Learning Processes and Outcomes: Major Findings and Future Research Directions. Management Science. https://doi.org/10.1287/mnsc.2020.3693

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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.