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Corporate Social Responsibility: The Good, the Bad and the Ugly
Abstract
This challenging and somewhat controversial book provides a critical perspective on contemporary discourses of corporate social responsibility (CSR). Subhabrata Bobby Banerjee questions the win-win assumptions of CSR and identifies the limits of the good that corporations can do, illustrating that the ability of firms to enhance social welfare is constrained by their current form and purpose; that of a shareholder value maximizing entity.
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Citations
Cited by
Scherer, A. G., & Palazzo, G. (2011) · Journal of Management Studies · doi:10.1111/j.1467-6486.2010.00950.x · Cited by 2,131
The Effects of Perceived Corporate Social Responsibility on Employee Attitudes
Glavas, A., & Kelley, K. (2014) · Business Ethics Quarterly · doi:10.5840/beq20143206 · Cited by 657
Corporate social responsibility and developing countries
Dobers, P., & Halme, M. (2009) · Corporate Social Responsibility and Environmental Management · doi:10.1002/csr.212 · Cited by 438
Theory Assessment and Agenda Setting in Political CSR: A Critical Theory Perspective
Scherer, A. G. (2018) · International Journal of Management Reviews · doi:10.1111/ijmr.12137 · Cited by 149
Metadata
- Authors
- Banerjee, S. B.
- Venue
- Edward Elgar Publishing eBooks
- Publisher
- Edward Elgar Publishing
- Published
- 2007-11-27
- OpenAlex
- W4255691366
- Cited by
- 228
- References
- 0
- FWCI
- 11.97
- Type
- book
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Corporate Social Responsibility: The Good, the Bad and the Ugly. https://app.cochat.ai/papers/10.4337/9781847208552
- The paper
- Banerjee, S. B. (2007). Corporate Social Responsibility: The Good, the Bad and the Ugly. Edward Elgar Publishing eBooks. https://doi.org/10.4337/9781847208552
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.