Author:
Su Xiaomeng,Hu Jing,Wang Yilin, ,
Abstract
Taking the technical standards alliance (TSA) of strategic emerging industries as the sample, including China’s new energy vehicles, new-generation information technology, new materials, and high-end equipment manufacturing, the article empirically verified the impact of the external cooperation network and internal knowledge network of late-developing enterprises on their dual catch-up. The results showed that the appropriate centrality of the cooperative network promotes the exploitative catch-up and exploratory catch-up of late-developing enterprises. However, the excessive centrality blocked its exploratory catch-up. The structural hole of the cooperation network was conducive to the exploratory catch-up of late-developing enterprises, but not to their exploitative catch-up. The comprehensive cohesiveness of the knowledge network strengthened the positive impact of the centrality of the cooperation network on exploitative catch-up of late-developing enterprises, damaging the negative impact of the structural hole of the cooperation network on exploitative catch-up. The partial cohesiveness of the knowledge network positively adjusted the centrality of the cooperative network, the relationship between the structural hole and exploratory catch-up, and negatively adjusted the relationship between the centrality of the network and exploitative catch-up. By analyzing the differential impact of the dual network on two types of technology catch-up strategies of late-developing enterprises, the article deepened the theory of organizational duality. Meanwhile, the article contained innovation activities of late-developing enterprises in the TSA, which provided a new theoretical perspective and empirical basis for the combination of standardization of cooperation and innovation management theory.
Funder
Ministry of Higher Education and Scientific Research
Zhejiang Province
National Office for Philosophy and Social Sciences
Publisher
Fuji Technology Press Ltd.
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction
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