组织知识特征对技术合作关系形成的影响——基于人工智能领域的多层网络分析

doi:10.3772/j.issn.1000-0135.2026.06.007

情报学报

2026, Vol. 45

Issue (6): 868-880 DOI: 10.3772/j.issn.1000-0135.2026.06.007

情报技术与应用

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组织知识特征对技术合作关系形成的影响——基于人工智能领域的多层网络分析

林平^1,2, 陶成煦^1,2, 吴江^1,2

1.武汉大学信息管理学院，武汉 430072
2.武汉大学数字商务与产业研究中心，武汉 430072

Impact of Organizational Knowledge Characteristics on the Formation of Technological Collaboration Relationships: A Multilevel Network Analysis in the Field of Artificial Intelligence

Lin Ping^1,2, Tao Chengxu^1,2, Wu Jiang^1,2

1.School of Information Management, Wuhan University, Wuhan 430072
2.Research Center for Digital Commerce and Industry, Wuhan University, Wuhan 430072

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摘要知识是组织竞争优势的根源，组织间的技术合作本质上是知识获取与整合的过程。深入探讨组织知识特征对技术合作关系形成的影响，有助于组织精准识别潜在合作伙伴、深化合作并提升合作创新绩效。本文利用2013—2021年人工智能领域的专利数据，构建知识-组织多层网络，并采用多层指数随机图模型（multilevel exponential random graph model，MERGM）探究组织知识特征对组织间技术合作关系形成的影响。研究发现，技术合作网络表现出显著的结构传递性，组织倾向于与合作伙伴的伙伴建立合作，借助共同纽带的信任传递机制来降低潜在合作风险；组织的知识关系强度、知识多样性及知识邻近性显著驱动了技术合作关系的形成。然而，知识组合机会对组织间的技术合作具有显著负向影响。此外，组织间技术合作呈现明显的领域同质性偏好，合作双方倾向于在同一技术领域内寻找伙伴。本文从多层网络视角揭示了组织知识特征对技术合作关系形成的影响，验证了多层网络分析方法在图情领域研究中的适用性，为理解复杂技术网络演化提供了新的视角与实证支持。

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	林平
	陶成煦
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关键词 ：合作网络, 多层网络, 知识网络, 技术合作, 指数随机图模型

收稿日期: 2025-09-24

基金资助:国家自然科学基金重点项目“网络视角下乡村产业互联网的数智赋能研究”（72232006）。

通讯作者: 吴江，通信作者，1978年生，博士，教授，博士生导师，主要研究方向为社会网络计算、商务数据智能，E-mail：jiangw@whu.edu.cn。 E-mail: jiangw@whu.edu.cn

作者简介: 林平，1995年生，博士研究生，主要研究方向为网络信息计量；陶成煦，1996年生，博士研究生，主要研究方向为数据要素治理与政策计量；

引用本文:

林平, 陶成煦, 吴江. 组织知识特征对技术合作关系形成的影响——基于人工智能领域的多层网络分析[J]. 情报学报, 2026, 45(6): 868-880.
Lin Ping, Tao Chengxu, Wu Jiang. Impact of Organizational Knowledge Characteristics on the Formation of Technological Collaboration Relationships: A Multilevel Network Analysis in the Field of Artificial Intelligence. 情报学报, 2026, 45(6): 868-880.

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https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2026.06.007 或 https://qbxb.istic.ac.cn/CN/Y2026/V45/I6/868

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