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Cited by 758

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Market Orientation and Company Performance: Empirical Evidence From UK Companies

Greenley, Gordon E.·1995·British Journal of Management

Abstract

SUMMARY: There has been little empirical investigation of a relationship between market orientation and performance, which is assumed to exist in the strategic management and marketing literatures. This limited empirical evidence is equivocal, and is dominated by only two US studies. The overall aim of the study reported in this article was to build on this limited empirical evidence about a relationship, by achieving new insights from another national business culture, namely the UK. Unlike the US evidence, the results from this study suggest that the influence of market orientation on performance is moderated by environmental variables. They suggest that market orientation may not be advantageous in highly turbulent markets, and in conditions of low customer power and high technological change.

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Crossref · 10.1111/j.1467-8551.1995.tb00082.x

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Metadata

Authors
Greenley, G. E.
Venue
British Journal of Management
Publisher
Wiley
Published
1995-03
Volume
6
Issue
1
Pages
1-13
ISSN
  • 1045-3172 (ISSN-L)
  • 1467-8551
OpenAlex
W2100148483
Cited by
758
References
44
FWCI
69.11
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Market Orientation and Company Performance: Empirical Evidence From UK Companies. https://app.cochat.ai/papers/10.1111/j.1467-8551.1995.tb00082.x
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Greenley, G. E. (1995). Market Orientation and Company Performance: Empirical Evidence From UK Companies. British Journal of Management. https://doi.org/10.1111/j.1467-8551.1995.tb00082.x

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.