产业链视域下技术-科学协同创新演化分析

doi:10.3772/j.issn.1000-0135.2026.04.006

情报学报

2026, Vol. 45

Issue (4): 534-551 DOI: 10.3772/j.issn.1000-0135.2026.04.006

情报理论与方法

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产业链视域下技术-科学协同创新演化分析

阎竞博, 蔚海燕

华东师范大学经济与管理学院，上海 200062

Evolution of Technology-Science Synergistic Innovation from the Perspective of Industrial Chain

Yan Jingbo, Yu Haiyan

School of Economics and Management, East China Normal University, Shanghai 200062

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摘要产业链协同创新是提升产业竞争力的重要途径，科学评估协同创新演化规律对于制定有效的创新管理策略具有重要意义。基于此，本文提出技术-科学协同创新演化分析框架，基于产业链环节的专利和论文数据，运用改进的图卷积神经网络（graph convolutional network，GCN）方法识别协同创新社区，通过协同演化同步率和创新传递效率构建双维度评估体系，深入分析产业链协同创新的演化规律和管理特征，并以新能源汽车锂离子电池产业链为案例进行实证分析，验证本文提出框架的有效性。研究结果表明，本文提出的分析框架能够有效提高大规模网络的社区识别与演化分析的精度，所构建的协同创新评估体系能够有效识别产业链技术-科学协同创新能力的演化过程和现有瓶颈，为产业开展协同创新提供可资借鉴的参考依据。

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	阎竞博
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关键词 ：协同创新, 产业链, 演化分析, 图卷积神经网络, 新能源汽车锂离子电池

收稿日期: 2025-07-23

作者简介: 阎竞博，1997年生，博士研究生，研究方向为信息分析；蔚海燕，通信作者，1980年生，博士，副教授，博士生导师，研究方向为信息分析，E-mail：hywei@infor.ecnu.edu.cn；

引用本文:

阎竞博, 蔚海燕. 产业链视域下技术-科学协同创新演化分析[J]. 情报学报, 2026, 45(4): 534-551.
Yan Jingbo, Yu Haiyan. Evolution of Technology-Science Synergistic Innovation from the Perspective of Industrial Chain. 情报学报, 2026, 45(4): 534-551.

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https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2026.04.006 或 https://qbxb.istic.ac.cn/CN/Y2026/V45/I4/534

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