JOURNAL ARTICLE

Converting Counterfeiters in Emerging Markets to Authorized Suppliers: A New Anti-Counterfeiting Measure.

  • Published In: Production & Operations Management, 2025, v. 34, n. 9. P. 2910 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Lu, Liling; Fang, Xin; Gao, Sarah Yini; Kazaz, Burak 3 of 3

Abstract

The article focuses on a game-theoretic analysis of converting counterfeiters producing high-quality "super fakes" in emerging markets into authorized overseas suppliers as an anti-counterfeiting strategy. It identifies three main sourcing strategies for a brand-name firm—single sourcing from a home supplier, dual sourcing from both home and converted overseas suppliers, and single sourcing from the overseas supplier—and examines how factors such as cost differentials, law enforcement penalties, and consumer quality perceptions influence these strategies and the likelihood of counterfeit sales. The study finds that while conversion can reduce production costs and mitigate counterfeit risks, especially under dual sourcing, it does not inherently prevent counterfeiting unless penalties are sufficiently stringent. Additionally, converting counterfeiters may reduce consumer surplus and does not always improve social welfare, benefiting society primarily when penalties or cost advantages are high. Extensions of the model consider sequential contract offerings and endogenous counterfeit pricing, reinforcing the strategic role of wholesale contracts in managing counterfeit risks.

Additional Information

  • Source:Production & Operations Management. 2025/09, Vol. 34, Issue 9, p2910
  • Document Type:Article
  • Subject Area:Law
  • Publication Date:2025
  • ISSN:1059-1478
  • DOI:10.1177/10591478251327759
  • Accession Number:187503039
  • Copyright Statement:Copyright of Production & Operations Management is the property of Sage Publications Inc. 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.