Degree assortativity in collaboration networks and invention performance

分类 生产力 产业组织 业务 新颖性 知识管理 营销 经济 计算机科学 复杂网络 神学 万维网 哲学 宏观经济学
作者
Rajat Khanna,Işın Güler
出处
期刊:Strategic Management Journal [Wiley]
卷期号:43 (7): 1402-1430 被引量:29
标识
DOI:10.1002/smj.3367
摘要

Abstract Research Summary We investigate the implications of the degree assortativity of intra‐firm networks for firms' innovation performance. We argue that prevalent patterns of collaborative relationships between organizational members can lead to variations in the levels of degree assortativity in intra‐firm networks, ranging from disassortative structures (highly central members connect with peripheral members) to assortative ones (highly central members connect with other highly central members and vice versa). These patterns influence knowledge access and resource mobilization pathways and are thus associated with various firm‐level invention outcomes. Using coarsened exact matching methodology and controlling for other characteristics of the intra‐firm network structures, we find that assortative structures in the pharmaceutical industry are associated with larger invention output, but inventions originating from assortative structures have lower average novelty and impact. Managerial Summary A central challenge in knowledge‐based industries is the design of collaborative teams to increase innovative output. In this article, we show that firms in the pharmaceutical industry vary in the extent to which central inventors within a firm collaborate with peripheral inventors. Further, the ideal composition varies based on the desired innovative output: Firms with frequent collaborations between central inventors have higher inventive productivity, while firms with higher mixing between central and peripheral inventors generate inventions that are on average more novel and have higher impact. Results have implications for organizational design toward desired innovative outcomes, as well as management of strategic human capital.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
brolliLuo发布了新的文献求助10
刚刚
清新的宛丝完成签到,获得积分10
刚刚
酷波er应助小胡采纳,获得10
3秒前
小智发布了新的文献求助10
4秒前
吴小胖发布了新的文献求助10
4秒前
顾矜应助meimei采纳,获得30
6秒前
庾摇伽完成签到 ,获得积分10
6秒前
量子星尘发布了新的文献求助10
6秒前
7秒前
情怀应助吴小胖采纳,获得10
9秒前
11秒前
11秒前
11秒前
13秒前
cheng完成签到,获得积分10
13秒前
value发布了新的文献求助30
15秒前
嗯嗯发布了新的文献求助10
16秒前
细心的紫丝完成签到,获得积分10
16秒前
充电宝应助小智采纳,获得10
17秒前
gattina发布了新的文献求助10
18秒前
科目三应助adam采纳,获得10
18秒前
19秒前
20秒前
allzzwell发布了新的文献求助10
20秒前
21秒前
21秒前
李健的小迷弟应助12345tty采纳,获得10
22秒前
回穆完成签到 ,获得积分10
22秒前
小宋发布了新的文献求助10
22秒前
小蘑菇应助彤彤彤红红红采纳,获得10
23秒前
bxxxxx完成签到,获得积分10
23秒前
big烂泥完成签到,获得积分10
24秒前
25秒前
zorro3574发布了新的文献求助10
26秒前
27秒前
28秒前
yalin完成签到,获得积分10
28秒前
luckily发布了新的文献求助10
32秒前
33秒前
35秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3959791
求助须知:如何正确求助?哪些是违规求助? 3506016
关于积分的说明 11127539
捐赠科研通 3237976
什么是DOI,文献DOI怎么找? 1789411
邀请新用户注册赠送积分活动 871758
科研通“疑难数据库(出版商)”最低求助积分说明 803019