文献类型：期刊文献

英文题名：Managing collaborative innovation in China's marine industry: a multilayer network perspective

作者：Zhou, Jingfan[1];Liao, Zefang[2];Zhou, Minghua[3];Shao, Changsheng[4];Mo, Xianrui[1]

机构：[1]Guangdong Ocean Univ, Sch Management, Zhanjiang, Peoples R China;[2]Shanghai Ocean Univ, Coll Econ & Management, Shanghai, Peoples R China;[3]Guangdong Ocean Univ, Sch Econ, Zhanjiang, Peoples R China;[4]Southern Marine Sci & Engn Guangdong Lab Zhanjiang, Zhanjiang, Peoples R China

年份：2025

卷号：12

外文期刊名：FRONTIERS IN MARINE SCIENCE

收录：SCI-EXPANDED(收录号：WOS:001649956300001)、、Scopus(收录号：2-s2.0-105026139605)、WOS

基金：The author(s) declare that financial support was received for the research and/or publication of this article. This research was supported by the Major Research Project National Social Science Fund of China (22VHQ006), the Guangdong Provincial Philosophy and Social Science Plan (GD22CYJ29), the Philosophy and Social Sciences Planning Project of Zhanjiang City (ZJ23YB70), and the Guangdong Ocean University Humanities and Social Sciences Research Project (030301092304).

语种：英文

外文关键词：marine industry; innovation performance; multilayer networks; co-evolution; patent analysis

外文摘要：Fostering a dynamic innovation ecosystem is a key strategic challenge for China's marine industry, yet organizations and policymakers lack a clear understanding of what types of collaborative structures truly drive performance. This study moves beyond traditional single-layer analyses to construct a comprehensive multilayer network of inter-organizational collaboration, knowledge flows, and technological evolution, using patent data from 2000 to 2024. The research analyzes the structural characteristics and evolution trend of the multilayer network to reveal the longitudinal dynamics of the China's marine industry's collaborative innovation landscape. A negative binomial regression is used to examine the effect of network characteristics on organizational innovation performance. Findings reveal that while both broad and deep partnerships significantly boost innovation, this effect is mediated by knowledge diversity. The positive impact is contingent on the organizational knowledge assets. Organizations with unique knowledge gain more from broad, shallow ties, compared to deep and intensive collaborations. For highly knowledgeable organizations, occupying too many strategic network positions can lead to information overload and diminishing innovation performance. This research provides an evidence-based framework for managers to optimize their R&D collaboration strategies and for policymakers to design more effective innovation policies, ensuring a more robust and dynamic marine innovation ecosystem.