JOURNAL ARTICLE
Product Safety and Liability with Deceptive Advertising and Moral Hazard.
Published In: Marketing Science (INFORMS), 2025, v. 44, n. 2. P. 287 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Guan, Xu; Cao, Huan; Li, Krista J.; Ding, Yucheng 3 of 3
Abstract
This article analyzes how two common product liability rules—strict liability and comparative negligence—affect firms and consumers when firms can deceptively advertise product quality and consumers choose their precaution efforts endogenously. Under strict liability, firms bear full responsibility for product failures, incentivizing truthful advertising of low-quality products to encourage consumer caution, which can improve firm profits and product safety. In contrast, comparative negligence allocates liability based on the negligence of both parties but tends to encourage deceptive advertising by low-quality firms, leading to pooling equilibria where consumers overestimate product quality and exert less precaution, potentially reducing safety and firm profits. The study finds that penalties imposed on firms have no effect under comparative negligence but can influence advertising honesty and consumer behavior under strict liability, sometimes increasing firm profits and product safety for intermediate penalty levels. Extensions considering price signaling, advertising penalties, consumer heterogeneity, and the substitutability or complementarity of product quality and precaution effort support these findings, highlighting that strict liability may better promote truthful information disclosure and safer consumer behavior in contexts of asymmetric information.
Additional Information
- Source:Marketing Science (INFORMS). 2025/03, Vol. 44, Issue 2, p287
- Document Type:Article
- Subject Area:Marketing
- Publication Date:2025
- ISSN:0732-2399
- DOI:10.1287/mksc.2023.0173
- Accession Number:183504479
- Copyright Statement:Copyright of Marketing Science (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.