Dual network configurations and invention renewals within the pharmaceutical industry

对偶(语法数字) 业务 营销 产业组织 运营管理 制药工业 计算机科学 商业 经济 语言学 医学 药理学 哲学
作者
Tianyu Hou,Wei Wang,Zhang Liang,Juan Li,Bin Chong
出处
期刊:Management Decision [Emerald Publishing Limited]
卷期号:62 (6): 2029-2054
标识
DOI:10.1108/md-04-2023-0655
摘要

Purpose Although research on how the downstream calculations of a patent’s profit potential influence invention renewal decisions is extensive, the impact of the upstream knowledge creation stages is overlooked. The purpose of this study is to address this theoretical vacuum by examining the intra-organizational configuration of knowledge networks and collaboration networks. Design/methodology/approach The data consist of 491 global pharmaceutical firms that patent in the USA. Drawing on patent records, the authors simultaneously construct intra-organizational knowledge networks and collaboration networks and identify network cohesion features (i.e. local and global). The authors employ panel fixed-effects models to test the hypotheses. Findings The results show that local knowledge cohesion and local social cohesion decrease invention renewals, while global knowledge cohesion and global social cohesion increase renewals. Moreover, the marginal effects of local and global social cohesion are stronger than those of local and global knowledge cohesion, respectively. Research limitations/implications The hypotheses are tested using the pharmaceutical industry as a research setting, which limits the generalizability of our findings. In addition, potential formal and informal contingencies are not considered. Practical implications Despite its limitations, this study provides valuable implications. First, managers are cautioned against the adverse effects of local cohesion structures on invention renewal. Second, firms can dynamically adjust their local and global network configuration strategies to harmonize the generation of valuable inventions and the retention of good ideas. Originality/value Complementary to previous research that focused on inventions’ performance feedback, this study delves into upstream knowledge creation stages to understand invention renewals.
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