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Cited by 353

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

International Market Segmentation Based on Consumer–Product Relations

Ter Hofstede, Frenkel, Steenkamp, Jan-Benedict E.M., Wedel, Michel·1999·Journal of Marketing Research

Abstract

With increasing competition in the global marketplace, international segmentation has become an ever more important issue in developing, positioning, and selling products across national borders. The authors propose a methodology to identify cross-national market segments, based on means–end chain theory. The methodology offers the potential for integrating product development and communication strategies by linking product characteristics to consumer benefits and values. For that purpose, a model is developed that identifies relations between the consumer and the product at the segment level, which increases the actionability and responsiveness of the segments. The model accounts for different response tendencies, across and within countries, that commonly hamper identification of cross-national segments. A Monte Carlo study shows that the model performs well in recovering the parameters across a wide range of conditions. The segmentation model is applied to consumer data on yogurt collected in 11 countries of the European Union. Four international segments are identified and found to be related to consumer sociodemographics, consumption patterns, media consumption, and personality. The authors show that the model has high predictive validity and outperforms the standard clustering approaches traditionally employed in international segmentation.

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Crossref · 10.1177/002224379903600101

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Metadata

Authors
Ter Hofstede, F., Steenkamp, J.-B. E. M., & Wedel, M.
Venue
Journal of Marketing Research
Published
1999-02
Volume
36
Issue
1
Pages
1-17
ISSN
  • 0022-2437 (ISSN-L)
  • 1547-7193
OpenAlex
W2099117300
Cited by
353
References
3
FWCI
51.27
Type
journal article
Language
en
Open access
closed

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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.