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Cited by 321

The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.

Strategy, Choice of Performance Measures, and Performance

Open access
Stede, Wim A. Van der, Chow, Chee W., Lin, Thomas W.·2006·Behavioral Research in Accounting

Abstract

We examine the relationship between quality-based manufacturing strategy and the use of different types of performance measures, as well as their separate and joint effects on performance. A key part of our investigation is the distinction between financial and both objective and subjective nonfinancial measures. Our results support the view that performance measurement diversity benefits performance as we find that, regardless of strategy, firms with more extensive performance measurement systems—especially those that include objective and subjective nonfinancial measures—have higher performance. But our findings also partly support the view that the strategy-measurement “fit” affects performance. We find that firms that emphasize quality in manufacturing use more of both objective and subjective nonfinancial measures. However, there is only a positive effect on performance from pairing a qualitybased manufacturing strategy with extensive use of subjective measures, but not with objective nonfinancial measures.

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Crossref · 10.2308/bria.2006.18.1.185

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Metadata

Authors
Stede, W. A. V. D., Chow, C. W., & Lin, T. W.
Venue
Behavioral Research in Accounting
Published
2006-01-01
Volume
18
Issue
1
Pages
185-205
ISSN
  • 1050-4753 (ISSN-L)
  • 1558-8009
OpenAlex
W1987008835
Cited by
321
References
65
FWCI
19.41
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Strategy, Choice of Performance Measures, and Performance. https://app.cochat.ai/papers/10.2308/bria.2006.18.1.185
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Stede, W. A. V. D., Chow, C. W., & Lin, T. W. (2006). Strategy, Choice of Performance Measures, and Performance. Behavioral Research in Accounting. https://doi.org/10.2308/bria.2006.18.1.185

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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.