Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 234

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

The effect of performance measurement systems on firm performance: A cross‐sectional and a longitudinal study

Koufteros, Xenophon, Verghese, Anto (John), Lucianetti, Lorenzo·2014·Journal of Operations Management

Abstract

Performance measurement (PM) systems have been popularized over the last 20 years and the operations management literature is replete with discussion of metrics and measurement systems. Yet, a comprehensive nomological network relating types of PM system uses to organizational capabilities and performance is lacking. Furthermore, there is scant empirical evidence attesting to the explanatory efficacy of PM systems as it relates to organizational performance. We view PM system uses through the lenses of the Resource Orchestration Theory (ROT) and explore specific relationships of underlying variables by relying on the Organizational Information Processing Theory (OIPT). Resting on the extant literature, we identify two types of uses which include Diagnostic Use (the review of critical performance variables in order to maintain, alter, or justify patterns in an organizational activity) and interactive use (a forward‐looking activity exemplified by active and frequent involvement of top management envisioning new ways to orchestrate organizational resources for competitive advantage) and relate them along with their interaction (i.e., dynamic tension) to organizational capabilities. We further link capabilities to target performance, which subsequently impacts organizational performance (operationalized through both perceptual and objective financial performance measures). The nomological network is tested via a cross sectional study (386 Italian firms) while the efficacy of PM systems to explain organizational performance is examined by using longitudinal panel data approaches over a 10 year period. There is sufficient evidence to suggest that the use of PM systems leads to improved capabilities, which then impact performance. Contrary to the extant literature, however, we discovered that Diagnostic Use appears to be the most constructive explanatory variable for capabilities. On the other hand, in light of a longitudinal study, we also uncovered that Diagnostic Use experienced depreciating returns as far as objective financial measures are concerned. Also, when high levels of Diagnostic Use were coupled with low levels of Interactive Use, they produced the lowest levels of organizational capabilities. Conversely, high levels of both types of PM system use generated extraordinary high levels of capabilities. There is sufficient evidence to suggest that organizations cannot rely merely on Diagnostic Use of PM systems. We also learned that the effects of PM systems (measured via adaptation) fade unless high learning rates are applied. We offer detailed recommendations for future research which have theoretical as well as empirical implications.

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 · 10.1016/j.jom.2014.06.003

Cites

8 of 8 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 8 references

Cited by

See all 234

Metadata

Authors
Koufteros, X., Verghese, A. (., & Lucianetti, L.
Venue
Journal of Operations Management
Publisher
Wiley
Published
2014-07-05
Volume
32
Issue
6
Pages
313-336
ISSN
  • 0272-6963 (ISSN-L)
  • 1873-1317
OpenAlex
W2152399466
Cited by
234
References
8
FWCI
28.99
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: The effect of performance measurement systems on firm performance: A cross‐sectional and a longitudinal study. https://app.cochat.ai/papers/10.1016/j.jom.2014.06.003
The paper
Koufteros, X., Verghese, A. (., & Lucianetti, L. (2014). The effect of performance measurement systems on firm performance: A cross‐sectional and a longitudinal study. Journal of Operations Management. https://doi.org/10.1016/j.jom.2014.06.003

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.