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Cited by 340

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Chinese Consumers’ Perception of Corporate Social Responsibility (CSR)

Open access
Ramasamy, Bala, Yeung, Mathew·2009·Journal of Business Ethics

Abstract

The findings of this article increase our understanding of corporate social responsibility from the consumers’ perspective in a Chinese setting. Based on primary data collected via a self-administered survey in Shanghai and Hong Kong and results of similar studies conducted in Europe and the United States, we provide evidence to show that Chinese consumers are more supportive of CSR. We also show that Carroll’s pyramid of responsibilities can be applied in China. We evaluated the importance placed by Chinese consumers on the four responsibilities of firms – economic, legal, ethical and philanthropic – and find that economic responsibilities are most important while philanthropic responsibilities are of least importance. The nature of these differences is important for firms intending to use corporate social responsibility for strategic purposes.

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Crossref · 10.1007/s10551-008-9825-x

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Metadata

Authors
Ramasamy, B., & Yeung, M.
Venue
Journal of Business Ethics
Published
2008-06-17
Volume
88
Issue
S1
Pages
119-132
ISSN
  • 0167-4544 (ISSN-L)
  • 1573-0697
OpenAlex
W2023336155
Cited by
340
References
33
FWCI
11.20
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Chinese Consumers’ Perception of Corporate Social Responsibility (CSR). https://app.cochat.ai/papers/10.1007/s10551-008-9825-x
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Ramasamy, B., & Yeung, M. (2009). Chinese Consumers’ Perception of Corporate Social Responsibility (CSR). Journal of Business Ethics. https://doi.org/10.1007/s10551-008-9825-x

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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.