Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 459

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

TOWARD A NEW CONTINGENCY APPROACH: THE SEARCH FOR ORGANIZATIONAL GESTALTS

Miller, Danny·1981·Journal of Management Studies

Abstract

Approaches that suffer from specification error and unwarranted generalizations are predominant among students of organizational adaptation and have resulted in fragmented and conflicting findings. The simplistic assumptions about organizations implicit in these approaches constrain the predictive power of findings and often prevent insights. It is argued that there exist complex Gestalts among environmental, organizational, and strategy-making variables, and that these Gestalts are relatively few and very different from one another both in terms of the scores of, and relationships among, variables. The Gestalts are expected to allow a richer, more complex, and multifaceted characterization of the process by which organizations adapt and change. They may also constitute enough structure in the data to yield more predictive findings. Some methodological approaches for identifying Gestalts are discussed [1].

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 · 10.1111/j.1467-6486.1981.tb00088.x

Cites

2 of 2 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 2 references

Cited by

See all 459

Metadata

Authors
Miller, D.
Venue
Journal of Management Studies
Publisher
Wiley
Published
1981-01
Volume
18
Issue
1
Pages
1-26
ISSN
  • 0022-2380 (ISSN-L)
  • 1467-6486
OpenAlex
W2064591544
Cited by
459
References
2
FWCI
13.21
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: TOWARD A NEW CONTINGENCY APPROACH: THE SEARCH FOR ORGANIZATIONAL GESTALTS. https://app.cochat.ai/papers/10.1111/j.1467-6486.1981.tb00088.x
The paper
Miller, D. (1981). TOWARD A NEW CONTINGENCY APPROACH: THE SEARCH FOR ORGANIZATIONAL GESTALTS. Journal of Management Studies. https://doi.org/10.1111/j.1467-6486.1981.tb00088.x

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.