The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Becoming a Consumer Society: A Longitudinal and Cross-Cultural Content Analysis of Print Ads from Hong Kong, the People's Republic of China, and Taiwan
Abstract
Results of a longitudinal study of ads from Hong Kong, the People's Republic of China (PRC), and Taiwan depict distinctive consumer cultures. PRC ads emphasize utilitarian appeals, promise a better life, and focus on states of being as a consumption theme. Hong Kong ads stress hedonistic values, promise easier and American lifestyles, and focus on doing. Taiwan ads fall between these two extremes, but are converging toward Hong Kong ads in consumption appeals over time. PRC ads, presumably anchored by remnants of an anti-materialistic political ideology, seem to chart a different trend.
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Cited by
Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value
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Exploring consumer status and conspicuous consumption
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The Effects of Culture and Socioeconomics on the Performance of Global Brand Image Strategies
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Metadata
- Authors
- Tse, D. K., Belk, R. W., & Zhou, N.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1989-03
- Volume
- 15
- Issue
- 4
- Pages
- 457
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2005807934
- Cited by
- 531
- References
- 14
- FWCI
- 18.67
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Becoming a Consumer Society: A Longitudinal and Cross-Cultural Content Analysis of Print Ads from Hong Kong, the People's Republic of China, and Taiwan. https://app.cochat.ai/papers/10.1086/209185
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- Tse, D. K., Belk, R. W., & Zhou, N. (1989). Becoming a Consumer Society: A Longitudinal and Cross-Cultural Content Analysis of Print Ads from Hong Kong, the People's Republic of China, and Taiwan. Journal of Consumer Research. https://doi.org/10.1086/209185
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.