Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,047

The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.

Institutional and Competitive Bandwagons: Using Mathematical Modeling as a Tool to Explore Innovation Diffusion

Abrahamson, Eric, Rosenkopf, Lori·1993·The Academy of Management Review

Abstract

The sheer number of organizations adopting an innovation can cause a bandwagon pressure, prompting other organizations to adopt this innovation. Institutional bandwagon pressures occur because nonadopters fear appearing different from many adopters. Competitive bandwagon pressures occur because nonadopters fear below-average performance if many competitors profit from adopting. Our mathematical model of bandwagons examines how organizational collectivities' characteristics determine (a) whether a bandwagon will occur, (b) how many organizations jump on it, and (c) how many retain the Innovation it diffuses. Simulating the model suggests, first, that any technological, organizational, or strategic innovation with ambiguous returns can diffuse in a bandwagon manner; second, that minor differences in organizational collectivities can have major effects on bandwagons' occurrence, extent, and persistence: and third, that bandwagons can prompt most organizations in a collectivity to adopt an innovation, even wh...

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 · 10.2307/258906

Cites

68 of 68 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 68 references

Cited by

See all 1,047

Metadata

Authors
Abrahamson, E., & Rosenkopf, L.
Venue
The Academy of Management Review
Published
1993-07
Volume
18
Issue
3
Pages
487
ISSN
0363-7425 (ISSN-L)
OpenAlex
W2035306811
Cited by
1,047
References
68
FWCI
9.44
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: Institutional and Competitive Bandwagons: Using Mathematical Modeling as a Tool to Explore Innovation Diffusion. https://app.cochat.ai/papers/10.2307/258906
The paper
Abrahamson, E., & Rosenkopf, L. (1993). Institutional and Competitive Bandwagons: Using Mathematical Modeling as a Tool to Explore Innovation Diffusion. The Academy of Management Review. https://doi.org/10.2307/258906

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.