Exploring new knowledge through research collaboration: the moderation of the global and local cohesion of knowledge networks

被引:0
|
作者
Luyun Xu
Jian Li
Xin Zhou
机构
[1] Hunan University,College of Business Administration
来源
The Journal of Technology Transfer | 2019年 / 44卷
关键词
Collaboration breadth; Collaboration depth; Local cohesion; Global cohesion; Knowledge network; New knowledge; O32;
D O I
暂无
中图分类号
学科分类号
摘要
Research collaboration has long been suggested as an effective way to obtain innovative outcomes. Nevertheless, relatively little is known about whether and how different research collaboration strategies inspire or inhibit firms in the exploration of new knowledge. Drawing upon the research collaboration literature and social network theory, this study examines the effects of two specific collaboration strategies (i.e., collaborating widely and collaborating deeply) on new knowledge exploration by recognizing the moderating roles of the local and global cohesion of knowledge networks. We test our hypotheses by using a manually collected sample of 730 Chinese vehicle or parts manufacturers during the period between 1985 and 2011. The empirical results suggest the positive effects of research collaboration breadth and collaboration depth on new knowledge exploration and that the global cohesion of intra-organizational knowledge networks magnifies the effect of collaboration breadth, while local cohesion negatively moderates the effect of collaboration depth on new knowledge exploration. These findings jointly indicate that a research collaboration strategy in combination with the structure of a knowledge base is crucial for obtaining novel knowledge.
引用
收藏
页码:822 / 849
页数:27
相关论文
共 29 条
  • [1] Exploring new knowledge through research collaboration: the moderation of the global and local cohesion of knowledge networks
    Xu, Luyun
    Li, Jian
    Zhou, Xin
    JOURNAL OF TECHNOLOGY TRANSFER, 2019, 44 (03) : 822 - 849
  • [2] Dynamics of collaboration network community and exploratory innovation: the moderation of knowledge networks
    Wang, Jingbei
    Yang, Naiding
    SCIENTOMETRICS, 2019, 121 (02) : 1067 - 1084
  • [3] Dynamics of collaboration network community and exploratory innovation: the moderation of knowledge networks
    Jingbei Wang
    Naiding Yang
    Scientometrics, 2019, 121 : 1067 - 1084
  • [4] Knowledge Networks, Collaboration Networks, and Local Search Behaviors
    Zhang, Hongjuan
    Guo, Jia
    Guo, Feng
    Zhang, Wanting
    GROUP & ORGANIZATION MANAGEMENT, 2023,
  • [5] The impact of collaboration and knowledge networks on citations
    Guan, Jiancheng
    Yan, Yan
    Zhang, Jing Jing
    JOURNAL OF INFORMETRICS, 2017, 11 (02) : 407 - 422
  • [6] Managing the dynamic change of organizational knowledge base in collaboration networks
    Wang, Jingbei
    Nie, Yafei
    BALTIC JOURNAL OF MANAGEMENT, 2022, 17 (03) : 321 - 337
  • [7] Exploring the effect of city-level collaboration and knowledge networks on innovation: Evidence from energy conservation field
    Ba, Zhichao
    Mao, Jin
    Ma, Yaxue
    Liang, Zhentao
    JOURNAL OF INFORMETRICS, 2021, 15 (03)
  • [8] Mapping disciplinary differences of knowledge production and collaboration networks in China
    Chen, Wei
    Wang, Nyuying
    Liu, Zhigao
    REGIONAL STUDIES REGIONAL SCIENCE, 2020, 7 (01): : 210 - 213
  • [9] Degree assortativity in collaboration networks and breakthrough innovation: the moderating role of knowledge networks
    Lin, Runhui
    Li, Biting
    Lu, Yanhong
    Li, Yalin
    SCIENTOMETRICS, 2024, 129 (07) : 3809 - 3839
  • [10] Exploring network dynamics in scientific innovation: collaboration, knowledge combination, and innovative performance
    Jia, Yangyang
    Chen, Hongshu
    Liu, Jingkang
    Wang, Xuefeng
    Guo, Rui
    Wang, Ximeng
    FRONTIERS IN PHYSICS, 2025, 12