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The Debate over Doing Good: Corporate Social Performance, Strategic Marketing Levers, and Firm-Idiosyncratic Risk
Open accessAbstract
Marketers and investors face a heated, provocative debate over whether excelling in social responsibility initiatives hurts or benefits firms financially. This study develops a theoretical framework that predicts (1) the impact of corporate social performance (CSP) on firm-idiosyncratic risk and (2) the role of two strategic marketing levers, advertising and research and development (R&D), in explaining the variability of this impact among different firms. The results show that higher CSP lowers undesirable firm-idiosyncratic risk. Notably, although the salutary impact of CSP is greater in firms with higher (versus lower) advertising, a simultaneous pursuit for CSP, advertising, and R&D is harmful with increased firm-idiosyncratic risk. For theory, the authors advance the literature on the marketing–finance interface by drawing attention to the risk-reduction potential of CSP and by shedding new light on some critical but neglected roles of strategic marketing levers. They also extend CSP research by moving away from the long-fought battle for a universal CSP impact and toward a finer-grained understanding of when some firms derive more risk-reduction benefits from CSP. For practice, the results indicate that the “goodwill refund” of CSP is not unconditional. They also empower marketers to communicate more effectively with investors (i.e., doing good to better manage the risk surrounding firm stock prices).
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“One argument being put forth is that CSR generates “moral capital,” for instance, through customer trust, employee loyalty, lower price elasticities, or goodwill with regulators (e.g., Luo and Bhattacharya 2009). Such moral capital provides insurance-like protection against negative future events and the reactions of stakeholders to such events, resulting in a lower volatility of future cash flows”
From Mandatory CSR and sustainability reporting: economic analysis and literature review (2021) · cites this paper as Luo and Bhattacharya 2009
In the citing paper
“some studies have empirically shown that organizations paying attention to multiple stakeholders perform better (e.g., Homburg et al. 2013;Koll et al. 2005;Luo and Bhattacharya 2009;Sisodia et al. 2007).”
From Stakeholder marketing: theoretical foundations and required capabilities (2015) · cites this paper as Luo and Bhattacharya 2009
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Metadata
- Authors
- Luo, X., & Bhattacharya, C. B.
- Affiliations
- The University of Texas at Arlington (US)
- Boston University (US)
- Corresponding author
- Luo, Xueming
- Bhattacharya, C.B.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 2009-11
- Volume
- 73
- Issue
- 6
- Pages
- 198-213
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2152198904
- Cited by
- 962
- References
- 66
- Citations by year
- 2026: 49 · 2025: 83 · 2024: 69 · 2023: 79 · 2022: 75 · 2021: 86 · 2020: 78 · 2019: 63 · 2018: 54 · 2017: 49 · 2016: 58 · 2015: 48 · 2014: 52 · 2013: 35 · 2012: 37
- FWCI
- 79.74
- Type
- journal article
- Language
- en
- Open access
- green
- papers.ssrn.com
- Locations
- Journal of Marketing (publishedVersion)
- SSRN Electronic Journal (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Corporate Social Responsibility Reporting
- Social Sciences › Business, Management and Accounting › Strategy and Management › Corporate Identity and Reputation
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Markets and Investment Strategies
- Keywords
- corporate social performance, firm-specific risk, advertising, research and development, marketing-finance interface, social responsibility, stock price risk, goodwill, investor relations, CSR and financial performance
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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