Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 313

The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.

Board Composition in Small and Medium‐Sized Family Firms*

Open access
Voordeckers, Wim, Van gils, Anita, Van den heuvel, Jeroen·2007·Journal of Small Business Management

Abstract

This study focuses on the determinants of board composition in Belgian small and medium‐sized family firms. It extends the empirical literature on board composition in private small and medium‐sized family enterprises by integrating several dimensions of the “family component” in the research model. Furthermore, using a multinomial logit model, we examine in which circumstances family firms opt for (1) a family board, (2) an inside board, or (3) an outside board. Results suggest that family‐related contingency variables are far more important than CEO‐related or control variables, giving support to the argument that board composition in family firms is a reflection of the family characteristics and objectives. Moreover, the results suggest that a resource dependence and added value perspective explain more of the variation in board composition than agency considerations.

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.1540-627x.2007.00204.x

Cites

71 of 71 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 71 references

Cited by

See all 313

Metadata

Authors
Voordeckers, W., Van gils, A., & Van den heuvel, J.
Venue
Journal of Small Business Management
Published
2007-01-01
Volume
45
Issue
1
Pages
137-156
ISSN
  • 0047-2778 (ISSN-L)
  • 1540-627X
OpenAlex
W2091475988
Cited by
313
References
71
FWCI
13.45
Type
journal article
Language
en
Open access
green

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: Board Composition in Small and Medium‐Sized Family Firms*. https://app.cochat.ai/papers/10.1111/j.1540-627x.2007.00204.x
The paper
Voordeckers, W., Van gils, A., & Van den heuvel, J. (2007). Board Composition in Small and Medium‐Sized Family Firms*. Journal of Small Business Management. https://doi.org/10.1111/j.1540-627x.2007.00204.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.