R&D team diversity and performance in hypercompetitive environments

多样性(政治) 团队构成 集合(抽象数据类型) 业务 产业组织 作文(语言) 营销 经济地理学 知识管理 计算机科学 经济 社会学 人类学 语言学 哲学 程序设计语言
作者
Karin Hoisl,Marc Gruber,Annamaria Conti
出处
期刊:Strategic Management Journal [Wiley]
卷期号:38 (7): 1455-1477 被引量:89
标识
DOI:10.1002/smj.2577
摘要

Research summary : This article examines the effects of an R&D team's composition on its performance outcomes in hypercompetition. The fundamental feature of firms in hypercompetitive settings is that they are constantly challenged to improve their competitiveness in a relentless race to outperform one another. Analyzing a unique data set from the Formula 1 motorsport racing industry, we find an inverse U‐shaped relationship between team diversity in task‐related experience and performance an important result that diverges from well‐established theories developed in more stable environments. Fundamentally, we show that the role of R&D team experience diversity varies depending on the size of the organizations in which R&D teams operate. While we find a moderating effect for firm age, this effect is not as robust as that of firm size . Managerial summary : This article examines the relationship between R&D team composition and performance in fast‐moving environments. Firms in these environments are constantly challenged to improve their competitiveness by outperforming one another. Analyzing a unique data set from the Formula 1 motorsport racing industry, we find that a team's diversity in job‐related experience increases its performance up to a certain extent. Once R&D teams become too diverse, performance decreases because communication and coordination become more difficult. We also show that the role of R&D team diversity varies depending on the size of the organizations in which R&D teams operate. Overall, our findings provide several novel implications for the strategy, innovation, and team literatures . Copyright © 2016 John Wiley & Sons, Ltd.
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
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
乐颜发布了新的文献求助10
刚刚
明亮的嚣发布了新的文献求助10
刚刚
所所应助fsz采纳,获得10
刚刚
大模型应助刘世昇采纳,获得10
刚刚
打打应助Jodie采纳,获得10
1秒前
1秒前
1秒前
流落尘世完成签到,获得积分10
1秒前
iNk应助萌新采纳,获得10
2秒前
2秒前
我来电了完成签到,获得积分10
2秒前
Wyy321应助简单梦旋采纳,获得10
2秒前
2秒前
科研通AI6.3应助yuquan采纳,获得10
2秒前
哈哈哈发布了新的文献求助10
3秒前
嘻嘻哈哈发布了新的文献求助10
3秒前
宇文数学发布了新的文献求助10
3秒前
3秒前
英姑应助橙子爱吃火龙果采纳,获得10
3秒前
克里斯蒂娜完成签到 ,获得积分10
3秒前
4秒前
4秒前
4秒前
4秒前
5秒前
5秒前
5秒前
5秒前
正直的银耳汤完成签到,获得积分10
5秒前
6秒前
6秒前
6秒前
6秒前
Vega发布了新的文献求助10
7秒前
7秒前
7秒前
8秒前
8秒前
8秒前
科研通AI6.3应助yybo采纳,获得10
9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
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
First commercial application of ELCRES™ HTV150A film in Nichicon capacitors for AC-DC inverters: SABIC at PCIM Europe 1000
Feldspar inclusion dating of ceramics and burnt stones 1000
Digital and Social Media Marketing 600
Zeolites: From Fundamentals to Emerging Applications 600
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5991666
求助须知:如何正确求助?哪些是违规求助? 7439428
关于积分的说明 16062687
捐赠科研通 5133285
什么是DOI,文献DOI怎么找? 2753503
邀请新用户注册赠送积分活动 1726216
关于科研通互助平台的介绍 1628323