Business

Unraveling the dynamics and identifying the "superstars" of R&D alliances in IUR collaboration: a two-mode network analysis in China

Z. Xing, L. Wang, et al.

This study by Zeyu Xing, Li Wang, and Debin Fang delves into the intricate dynamics of R&D alliance networks within China's industry-university-research institute collaborations. By analyzing joint patent data, it uncovers varied collaboration modes and key players over time, offering valuable recommendations for enhancing IUR collaboration success.

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Abstract

This study investigates the dynamics of R&D alliance networks in China's industry-university-research institute (IUR) collaborations using two-mode network analysis. Analyzing joint patent data, the study constructs collaboration, knowledge, and inter-organizational technology networks to examine their evolution and identify key players. Findings reveal no permanent "superstars" but distinct collaboration modes across different periods (formation, growth, mature), with varied technology class aggregation. The study offers recommendations for enhancing IUR collaboration success.

Publisher

Humanities & Social Sciences Communications

Published On

Dec 14, 2023

Authors

Zeyu Xing, Li Wang, Debin Fang

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