Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 460

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Counting, Control and Calculation: Reflections on Measuring and Management

Power, Michael·2004·Human Relations

Abstract

This article explores fundamental issues in performance measurement systems broadly conceived. Three key moments or themes are identified. First, the foundations of measurement in counting practices, and their inherent reductionism, are considered. Second, the relations between measurement and technologies of monitoring and control, such as auditing, are discussed. Third, first- and second-order measurement (meta-measurement) are distinguished, respectively as particular institutions of counting and data production, and as related dense networks of calculating experts operating on these numbers within specific cultures of objectivity. Finally, arguments about the consequences of performance measurement systems are evaluated, contrasting democratic enthusiasm for performance measurement control technologies with the view that they are some kind of ‘fatal remedy’. In place of a simple dichotomy of trust or distrust in numbers, the development of performance measurement instruments is argued to be a cycle of innovation, crisis and reform, which continually expands into new regions of social and economic life, and which expresses varying degrees of commitment to precision.

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 · 10.1177/0018726704044955

Cites

5 of 5 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

Cited by

See all 460

Metadata

Authors
Power, M.
Venue
Human Relations
Published
2004-06
Volume
57
Issue
6
Pages
765-783
ISSN
  • 0018-7267 (ISSN-L)
  • 1741-282X
OpenAlex
W2112716461
Cited by
460
References
5
FWCI
11.79
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: Counting, Control and Calculation: Reflections on Measuring and Management. https://app.cochat.ai/papers/10.1177/0018726704044955
The paper
Power, M. (2004). Counting, Control and Calculation: Reflections on Measuring and Management. Human Relations. https://doi.org/10.1177/0018726704044955

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.