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A Comparison of Japanese and U.S. Attitudes toward Foreign Products
Abstract
How are U.S. products perceived by foreign consumers? How do these product images affect international marketing strategies? What are the relationships between the “country product” image and international marketing strategies? These questions are of concern to all engaged in international business. This study measures the cross-cultural image of “made in …” products as perceived by both Japanese and U.S. businessmen.
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Citations
Cited by
Country Image: Halo or Summary Construct?
Han, C. M. (1989) · Journal of Marketing Research · doi:10.1177/002224378902600208 · Cited by 1,310
Country-of-Origin Effects for Uni-National and Bi-National Products
Han, C. M., & Terpstra, V. (1988) · Journal of International Business Studies · doi:10.1057/palgrave.jibs.8490379 · Cited by 961
Consumer Ethnocentrism: A Test of Antecedents and Moderators
Sharma, S., Shimp, T. A., & Shin, J. (1994) · Journal of the Academy of Marketing Science · doi:10.1177/0092070395231004 · Cited by 961
Customer Evaluation of Products in a Global Market
Samiee, S. (1994) · Journal of International Business Studies · doi:10.1057/palgrave.jibs.8490213 · Cited by 674
Hsu, C.-L., Chang, C.-Y., & Yansritakul, C. (2017) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.10.006 · Cited by 539
Metadata
- Authors
- Nagashima, A.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 1970-01
- Volume
- 34
- Issue
- 1
- Pages
- 68-74
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2312446115
- Cited by
- 575
- References
- 0
- FWCI
- 21.18
- Type
- journal article
- Language
- en
- Open access
- closed
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- Nagashima, A. (1970). A Comparison of Japanese and U.S. Attitudes toward Foreign Products. Journal of Marketing. https://doi.org/10.1177/002224297003400115
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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.