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Cited by 265

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A survey and taxonomy of strategy‐related performance measures for manufacturing

White, Gregory P.·1996·International Journal of Operations & Production Management

Abstract

Although the topic of manufacturing performance measurement has recently attracted considerable interest, little has been done to enumerate or classify the measures that exist. Lists 125 different strategy‐related measures that were found through a survey of accounting, manufacturing and managerial literature. Develops a taxonomy which categorizes those measures according to competitive priority (cost, quality, flexibility, delivery reliability, or speed), data source (internal or external), data type (objective or subjective), measure reference (self‐referenced or benchmark), and process orientation (process input or process outcome). Finds that the largest number of measures have been proposed for the competitive priority of flexibility and the fewest for delivery reliability. Most measures have focused only on process outcomes using self‐referenced objective data from internal sources. Based on these results, suggests that companies and academic researchers utilize new or different measures to assess adequately strategy‐related manufacturing performance.

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Metadata

Authors
White, G. P.
Venue
International Journal of Operations & Production Management
Publisher
Emerald
Published
1996-03-01
Volume
16
Issue
3
Pages
42-61
ISSN
0144-3577 (ISSN-L)
OpenAlex
W2061911148
Cited by
265
References
1
FWCI
7.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A survey and taxonomy of strategy‐related performance measures for manufacturing. https://app.cochat.ai/papers/10.1108/01443579610110486
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White, G. P. (1996). A survey and taxonomy of strategy‐related performance measures for manufacturing. International Journal of Operations & Production Management. https://doi.org/10.1108/01443579610110486

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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.