Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 409

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Reproducing Knowledge: Replication Without Imitation at Moderate Complexity

Rivkin, Jan W.·2001·Organization Science

Abstract

The complexity of a firm's strategy affects both the ease with which the firm can replicate the strategy in a new setting and the ease with which rivals can imitate it. Simple strategies are as readily imitated as replicated, and highly intricate strategies resist imitation and replication equally. At moderate levels of complexity, however, a wedge develops between the ease of replication and the difficulty of imitation, so long as the replicator has better information than the imitator about the original success. An agent-based simulation model clarifies the structural reasons that this is so. The model also shows how the wedge-maximizing level of complexity varies with the replicator's informational edge over the imitator. The results help to pinpoint situations in which strategies requiring replication are likely to defy imitation and generate sustained competitive advantage. More generally, the analysis sheds light on the value of superior but imperfect information about good solutions to hard problems. Finally, the results suggest that a pattern long observed by organization scholars--that “loosely coupled organizations” are especially effective competitors--may arise for a very different reason than is normally posited.

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/orsc.12.3.274.10106

Cites

10 of 10 references verified0 citation errors · 0 not checkable

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

Cites

Show all 10 references

Cited by

See all 409

Metadata

Authors
Rivkin, J. W.
Venue
Organization Science
Published
2001-06
Volume
12
Issue
3
Pages
274-293
ISSN
  • 1047-7039 (ISSN-L)
  • 1526-5455
OpenAlex
W2164170887
Cited by
409
References
10
FWCI
35.60
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: Reproducing Knowledge: Replication Without Imitation at Moderate Complexity. https://app.cochat.ai/papers/10.1287/orsc.12.3.274.10106
The paper
Rivkin, J. W. (2001). Reproducing Knowledge: Replication Without Imitation at Moderate Complexity. Organization Science. https://doi.org/10.1287/orsc.12.3.274.10106

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.