Cooperative Network Embedding, Knowledge Network Structure and Technological Catch-Up of Latecomers: A Technical Standards Alliance Perspective

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

Reference46 articles.

1. M. Hobday, “East Asian latecomer firms: learning the technology of electronics,” World Development, Vol.23, No.7, pp. 1171-1193, 1995.

2. X. Peng, S. Zheng, X. Wu, and D. Wu, “How do latecomer catch up to the forefront? – from ambidextrous learning perspective,” Management World, No.2, pp. 142-158, 2017 (in Chinese).

3. F. Galati and B. Bigliardi, “Redesigning the Model of the Initiation and Evolution of Inter-Firm Knowledge Transfer in R&D Relationships,” J. of Knowledge Management, Vol.23, No.10, pp. 2039-2066, 2019.

4. H. Dai, D. Zeng, and Y. Zhang, “Social Capital Embedded in Standard Alliance Portfolio and Its Impact on Enterprises’ Innovation Performance,” R&D Management, No.2, pp. 93-101, 2017 (in Chinese).

5. J. Wen, W. J. Qualls, and D. Zeng, “Standardization alliance networks, standard-setting influence, and new product outcomes,” J. of Product Innovation Management, Vol.37, No.2, pp. 138-157, 2020.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3