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Cited by 1,544

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

The Animosity Model of Foreign Product Purchase: An Empirical Test in the People's Republic of China

Klein, Jill Gabrielle, Ettenson, Richard, Morris, Marlene D.·1998·Journal of Marketing

Abstract

The authors provide an initial test of the animosity model of foreign product purchase in the People's Republic of China. In contrast to Shimp and Sharma's (1987) CETSCALE, the model predicts that animosity toward a foreign nation will affect negatively the purchase of products produced by that country independently of judgments of product quality. The model was tested using mainland Chinese consumers’ attitudes toward Japan and Japanese products. Structural equation modeling supports the model and shows that animosity has a significant impact on buying decisions above and beyond the effect of consumer ethnocentrism. Furthermore, these results were not cohort-specific. The measurement of cross-national hostility enables managers to understand better the purchase behavior of consumers in the international marketplace.

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Metadata

Authors
Klein, J. G., Ettenson, R., & Morris, M. D.
Venue
Journal of Marketing
Published
1998-01
Volume
62
Issue
1
Pages
89-100
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
OpenAlex
W2001874043
Cited by
1,544
References
37
FWCI
42.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Animosity Model of Foreign Product Purchase: An Empirical Test in the People's Republic of China. https://app.cochat.ai/papers/10.1177/002224299806200108
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Klein, J. G., Ettenson, R., & Morris, M. D. (1998). The Animosity Model of Foreign Product Purchase: An Empirical Test in the People's Republic of China. Journal of Marketing. https://doi.org/10.1177/002224299806200108

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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.