Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,111

The DOI matches its Crossref record.

The Persistence and Transfer of Learning in Industrial Settings

Argote, Linda, Beckman, Sara L., Epple, Dennis·1990·Management Science

Abstract

The persistence of learning within organizations and the transfer of learning across organizations are examined on data collected from multiple organizations. Results indicate that knowledge acquired through production depreciates rapidly. The conventional measure of learning, cumulative output, significantly overstates the persistence of learning. There is some evidence that learning transfers across organizations: organizations beginning production later are more productive than those with early start dates. Once organizations begin production, however, they do not appear to benefit from learning in other organizations. The implications of the results for a theory of organizational learning are discussed. Managerial implications are described.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1287/mnsc.36.2.140

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 1,111

Metadata

Authors
Argote, L., Beckman, S. L., & Epple, D.
Venue
Management Science
Published
1990-02
Volume
36
Issue
2
Pages
140-154
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W2147088137
Cited by
1,111
References
0
FWCI
21.07
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Persistence and Transfer of Learning in Industrial Settings. https://app.cochat.ai/papers/10.1287/mnsc.36.2.140
The paper
Argote, L., Beckman, S. L., & Epple, D. (1990). The Persistence and Transfer of Learning in Industrial Settings. Management Science. https://doi.org/10.1287/mnsc.36.2.140

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.