The Influence Mechanism of Patent Pool Relationships on Collaborative Innovation Performance: Evidence from MPEG LA

Authors

• Liubin LAI, School of Economics and Management, Changsha Normal University, Changsha 410148
• Hua XIE, Hunan Provincial Institute of Scientific and Technical Information, Changsha 410001
• Chen PENG, School of Economics and Management, Changsha Normal University, Changsha 410148
• Lin CHEN, Hunan Provincial Institute of Scientific and Technical Information, Changsha 410001

Keywords

alliance within patent pools, collaborative innovation, network position, competitive learning, technological similarity

Abstract

[Purpose/significance] Collaborative innovation is an important means of breaking through one's own resource bottlenecks and achieving technological upgrading. Studying the impact of patent alliance relationships on collaborative innovation performance among alliance partners is of significant importance, and at the same time, it provides guiding value for enterprises in effectively utilizing patent alliances to promote open innovation. [Method/process] Based on the panel data of more than 5 000 pairs of MPEG LA members, this paper focuses on the alliance network of patent pools.A fixed effects negative binomial regression model was used to analyze the influence mechanism of alliances within patent pools on collaborative innovation performance between partners, and the moderating effects of network centrality, competitive learning and technological similarity. [Result/conclusion] The results show that alliances within patent pools have a positive impact on collaborative innovation performance.Network centrality and competitive learning significantly weaken the association between patent alliances and collaborative innovation performance, while technological similarity cannot significantly moderate the association between alliances and collaborative innovation.

First Page

114

Last Page

124

Submission Date

23-Dec-2025

Revision Date

26-Jan-2026

Acceptance Date

7-Apr-2026

Published Date

1-Oct-2026

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Digital Object Identifier (DOI)

10.19809/j.cnki.kjqbyj.2026.04.011

Recommended Citation

LAI, Liubin; XIE, Hua; PENG, Chen; and CHEN, Lin (2026) "The Influence Mechanism of Patent Pool Relationships on Collaborative Innovation Performance: Evidence from MPEG LA," Journal of Scientific Information Research: Vol. 8: Iss. 4, Article 11.
DOI: 10.19809/j.cnki.kjqbyj.2026.04.011
Available at: https://eng.kjqbyj.com/journal/vol8/iss4/11