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| Impact of Organizational Knowledge Characteristics on the Formation of Technological Collaboration Relationships: A Multilevel Network Analysis in the Field of Artificial Intelligence |
| Lin Ping1,2, Tao Chengxu1,2, Wu Jiang1,2 |
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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Abstract Knowledge is the foundation for an organization’s competitive advantage, and technological collaboration between organizations is a process of knowledge acquisition and integration. Exploring the impact of organizational knowledge characteristics on the formation of technological collaborative relationships can help organizations accurately identify potential partners, deepen collaboration, and enhance collaborative innovation performance. This study used patent data in the field of artificial intelligence from 2013 to 2021 to construct a knowledge-organization multilevel network. A multilevel exponential random graph model was employed to investigate the influence of organizational knowledge characteristics on the formation of inter-organizational technological collaboration relationships. The study determined that the technological collaboration network exhibited significant structural transitivity, with organizations tending to establish partnerships with their partners and leveraging trust transmission mechanisms based on shared ties to mitigate potential collaboration risks. The strength of knowledge ties, knowledge diversity, and knowledge proximity significantly drive the formation of technological collaboration relationships. However, knowledge combinatorial opportunities have a significant negative impact on inter-organizational technological collaboration. Furthermore, inter-organizational technological collaboration exhibits an evident preference for domain homogeneity, with both parties seeking partners within the same technological field. This study reveals the influence of organizational knowledge characteristics on the formation of technological collaboration relationships from a multilevel network perspective, validates the applicability of multilevel network analysis in the field of library and information science, and provides new insights and empirical support for understanding the evolution of complex technological networks.
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Received: 24 September 2025
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