Exaggeration or Concealment: Corporate Social Responsibility Strategy in the Blockchain Era

Supplier green washing behaviors in corporate social responsibility (CSR) have become increasingly notable, often involving exaggerated claims about CSR initiatives or diverting resources to conceal violations. We develop a game-theoretic model to investigate the motivation of green washing and its intricate economic and social consequences, and explore whether blockchain technology can effectively enhance CSR efforts. We find that the trade-off between exaggeration and concealment inherent in green washing plays a significant role in CSR strategy selection and corresponding performances. Specifically, if the exaggerating effect dominates green washing, the supplier has an incentive to adopt blockchain for self-certification in CSR activities. Conversely, when the concealment effect prevails, opportunistic behavior is more likely to occur. However, the integrative green washing coefficient has polarized impacts on the optimal CSR effort level, retailer's profit, and consumer surplus. We unveil that block chain implementation achieves the highest social welfare when the exaggeration of green washing plays a more prominent role, particularly when the CSR violation penalty is relatively subtle for both firms. Interestingly, we observe that green washing, despite its negative connotations, can eventually stimulate CSR efforts due to the incremental demand induced by exaggerated disclosures, ultimately leading to the highest social welfare.

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Publication Details

Journal
IEEE Transactions on Engineering Management
Published
2025-01-01
DOI
https://doi.org/10.1109/tem.2025.3610266
Citations
1
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
2.11
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article

Exaggeration or Concealment: Corporate Social Responsibility Strategy in the Blockchain Era

Qingquan Lai, Ciwei Dong, Siru Chen, Xiutian Shi
1 citations
IEEE Transactions on Engineering Management
Impact of AI and Big Data on Business and Society
2.11
article

Exaggeration or Concealment: Corporate Social Responsibility Strategy in the Blockchain Era

Qingquan Lai, Ciwei Dong, Siru Chen, Xiutian Shi
article en
1 citations

Abstract

Supplier green washing behaviors in corporate social responsibility (CSR) have become increasingly notable, often involving exaggerated claims about CSR initiatives or diverting resources to conceal violations. We develop a game-theoretic model to investigate the motivation of green washing and its intricate economic and social consequences, and explore whether blockchain technology can effectively enhance CSR efforts. We find that the trade-off between exaggeration and concealment inherent in green washing plays a significant role in CSR strategy selection and corresponding performances. Specifically, if the exaggerating effect dominates green washing, the supplier has an incentive to adopt blockchain for self-certification in CSR activities. Conversely, when the concealment effect prevails, opportunistic behavior is more likely to occur. However, the integrative green washing coefficient has polarized impacts on the optimal CSR effort level, retailer's profit, and consumer surplus. We unveil that block chain implementation achieves the highest social welfare when the exaggeration of green washing plays a more prominent role, particularly when the CSR violation penalty is relatively subtle for both firms. Interestingly, we observe that green washing, despite its negative connotations, can eventually stimulate CSR efforts due to the incremental demand induced by exaggerated disclosures, ultimately leading to the highest social welfare.

IEEE Transactions on Engineering ManagementVol. 72
Zhongnan University of Economics and Law (CN), Nanjing University of Science and Technology (CN)
Openalex Percentile: Top 10%
Impact of AI and Big Data on Business and Society
2.11
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Exaggeration or Concealment: Corporate Social Responsibility Strategy in the Blockchain Era — Qingquan Lai, Ciwei Dong, et al. · IEEE Transactions on Engineering Management (2025) | TGRS Research Map | TGRS