Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 399

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Relationality in Organizational Research: Exploring The Space Between

Bradbury, Hilary, Lichtenstein, Benyamin M. Bergmann·2000·Organization Science

Abstract

Relationships and interactions should be an important focus of attention in organizational scholarship. In contrast to traditional research approaches that focus on independent, discrete entities, methodologies oriented to relational concerns in organizations allow researchers to study the intersubjective and interdependent nature of organizational life. In addition to providing historical and philosophical bases for a perspective which emphasizes relationality, we review the growing number of methods that capture relational aspects of organizational life. Examples include network analysis, and “complexity” modeling, correspondence analysis and participatory research, case study methods, the learning history approach, psychometrics, and action inquiry. Our goal is to establish a “palette” of methodological choices for the researcher interested in operationalizing a relational perspective within organizational research/practice.

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.11.5.551.15203

Cites

4 of 4 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 4 references

Metadata

Authors
Bradbury, H., & Lichtenstein, B. M. B.
Venue
Organization Science
Published
2000-10
Volume
11
Issue
5
Pages
551-564
ISSN
  • 1047-7039 (ISSN-L)
  • 1526-5455
OpenAlex
W2121796338
Cited by
399
References
4
FWCI
5.91
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: Relationality in Organizational Research: Exploring The Space Between. https://app.cochat.ai/papers/10.1287/orsc.11.5.551.15203
The paper
Bradbury, H., & Lichtenstein, B. M. B. (2000). Relationality in Organizational Research: Exploring The Space Between. Organization Science. https://doi.org/10.1287/orsc.11.5.551.15203

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.