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
刚刚
Mrsy发布了新的文献求助10
1秒前
如果发布了新的文献求助10
1秒前
1秒前
李爱国应助Linzy采纳,获得30
2秒前
大模型应助好好采纳,获得10
2秒前
2秒前
冷傲的小小关注了科研通微信公众号
3秒前
冷傲的小小关注了科研通微信公众号
3秒前
3秒前
4秒前
大模型应助ye采纳,获得10
5秒前
5秒前
fordream发布了新的文献求助10
5秒前
小蘑菇应助www采纳,获得10
5秒前
6秒前
bianco2007完成签到,获得积分10
6秒前
7秒前
7秒前
猴猴发布了新的文献求助10
8秒前
8秒前
小怪发布了新的文献求助20
8秒前
唐唐发布了新的文献求助10
8秒前
砼砼完成签到,获得积分10
8秒前
9秒前
9秒前
了了完成签到,获得积分10
9秒前
9秒前
山野下完成签到,获得积分10
10秒前
10秒前
英俊的铭应助枫林一叶下采纳,获得10
11秒前
welcomeS发布了新的文献求助10
11秒前
12秒前
VDC应助苹果音响采纳,获得30
13秒前
科研通AI6应助yvaine采纳,获得10
13秒前
rrrrrrry发布了新的文献求助10
13秒前
科研通AI6应助Clara凤采纳,获得10
13秒前
淋漓尽致发布了新的文献求助10
14秒前
xxxxxxxxx发布了新的文献求助10
14秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Fermented Coffee Market 2000
PARLOC2001: The update of loss containment data for offshore pipelines 500
Critical Thinking: Tools for Taking Charge of Your Learning and Your Life 4th Edition 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
A Manual for the Identification of Plant Seeds and Fruits : Second revised edition 500
Constitutional and Administrative Law 400
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 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5262524
求助须知:如何正确求助?哪些是违规求助? 4423472
关于积分的说明 13769822
捐赠科研通 4298194
什么是DOI,文献DOI怎么找? 2358305
邀请新用户注册赠送积分活动 1354627
关于科研通互助平台的介绍 1315823