相关性(法律)
理论(学习稳定性)
透视图(图形)
多样性(政治)
多样性(控制论)
独创性
知识管理
价值(数学)
社交网络(社会语言学)
计算机科学
社会心理学
心理学
社会学
人工智能
机器学习
政治学
创造力
人类学
万维网
法学
社会化媒体
作者
Min Guo,Naiding Yang,Jingbei Wang,Hui Liu,Fawad Sharif Sayed Muhammad
标识
DOI:10.1108/jkm-01-2023-0072
摘要
Purpose Previous research has analyzed the consequence of network stability; however, little is known about how partner type diversity influence network stability in R&D network. Based on knowledge-based view and social network theory, the purpose of this paper is to unravel the internal mechanisms between partner type diversity and network stability through the mediating role of knowledge recombination in R&D network. Design/methodology/approach The authors collected an unbalanced panel patent data set from information communication technology industry for the period 1994–2016. Then, the authors tested the different dimensions of partner type variety and its relevance in the R&D network and the mediating role of knowledge recombination through adopting the multiple linear regression. Findings Results indicate an inverted U-shaped relationship between partner type diversity (variety and relevance) and network stability, whereas knowledge recombination partially mediate these relationships. Originality/value From the perspective of R&D networks, this paper explores that there are the under-researched phenomena the antecedent of network stability through nodal attributes (i.e. partner type variety and partner type relevance). Moreover, this paper empirically examined the mediating role of knowledge recombination in the partner type diversity–network stability relationships. The novel perspective allows focal firm to recognize importance of nodal attributes, which are critical to fully excavate the potential capabilities of cooperating partners in R&D network.
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