Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 401

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Measuring Performance in Social Enterprises

Open access
Bagnoli, Luca, Megali, Cecilia·2011·Nonprofit and Voluntary Sector Quarterly

Abstract

This article addresses the subject of management control and tries to create a performance measurement system for social enterprises, that is, how to measure success. Three reference fields for management are analyzed: (a) economic-financial performance, linked to the determination of general performance (profits, value added, etc.) and analytic results (production-cost of services, efficiency indicators, etc.); (b) social effectiveness, to measure the quantity and quality of work undertaken and to identify its impact on the intended beneficiaries and the community; and (c) institutional legitimacy, verifying conformity with law and mission statement. In integrating these aspects, we propose a multidimensional controlling framework that is appropriate to the management of a social enterprise. We try to demonstrate the validity of the theoretical model through the illustration of an Italian empirical case: the work integration social enterprise “Ulisse.”

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 · 10.1177/0899764009351111

Cites

17 of 17 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 17 references

Cited by

See all 401

Metadata

Authors
Bagnoli, L., & Megali, C.
Venue
Nonprofit and Voluntary Sector Quarterly
Published
2009-12-02
Volume
40
Issue
1
Pages
149-165
ISSN
  • 0094-0607 (ISSN-L)
  • 0899-7640
  • 1552-7395
OpenAlex
W2097978072
Cited by
401
References
17
FWCI
13.80
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: Measuring Performance in Social Enterprises. https://app.cochat.ai/papers/10.1177/0899764009351111
The paper
Bagnoli, L., & Megali, C. (2011). Measuring Performance in Social Enterprises. Nonprofit and Voluntary Sector Quarterly. https://doi.org/10.1177/0899764009351111

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.