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Beyond Repeat Players: Judicial Suggestions for Tech Giants and Relational Governance in Chinese Courts

Published online by Cambridge University Press:  15 May 2025

Xinyi Ma*
Affiliation:
Law School, Peking University, Beijing, China
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Abstract

Observing the high compliance rates of tech giants with judicial suggestions from Internet courts in China, this article supplements Galanter’s thesis by reconsidering the extent to which repeat players inherently dominate litigation outcomes over one-shotters. Drawing from theories of relational contracts and governance, it proposes a theory of relational adjudication that not only explains the compliance phenomenon but also offers new insights into the high success rates of repeat players. This theory suggests that courts, acting as “repeat referees,” leverage long-term interactions to encourage greater compliance and improve litigation outcomes among these players. Central to this cooperative dynamic are reciprocal expectations and frequent information exchanges. Contrary to traditional views, within a relational governance framework, court intervention extends beyond case-by-case decisions to include systematic compliance advice, thereby integrating legal risk prevention into daily corporate practices. However, potential drawbacks such as risks to judicial credibility and integrity warrant careful consideration.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press or the rights holder(s) must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
© The Author(s), 2025. Published by Cambridge University Press in association with Shanghai Jiao Tong University