Research on the Relationship between Structural Hole Location, Knowledge Management and Cooperative Innovation Performance in Artificial Intelligence

被引:11
|
作者
Wu, Hui [1 ]
Gu, Xiaomin [1 ]
Zhao, Yuanjun [2 ]
Liu, Wei [3 ]
机构
[1] Shanghai Lixin Univ Accounting & Finance, Sch Financial Technol, Shanghai, Peoples R China
[2] Shanghai Lixin Univ Accounting & Finance, Sch Business Adm, Shanghai, Peoples R China
[3] Qingdao Univ, Business Sch, Qingdao, Peoples R China
关键词
Structure hole location; collaborative innovation performance; knowledge management; artificial intelligence; SOCIAL NETWORK; DECISION;
D O I
10.1080/14778238.2020.1813642
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
This paper builds a conceptual model of the relationship between structural hole location, knowledge management, and collaborative innovation performance in the artificial intelligence environment. A questionnaire survey was conducted on 267 companies, and sample data were analysed using SEM statistics. In the artificial intelligence environment, under the influence of the embedded relationship of the collaborative innovation network structure, the influence of network structure hole position on the performance of collaborative innovation is discussed. The research results show that the location of network structure holes has a direct impact on the performance of collaborative innovation; At the same time, the location of network structure holes has a significant positive impact on knowledge management, and knowledge management plays a part of the mediating role in the process of network structure hole locations affecting collaborative innovation performance.
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页数:10
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