A meta-analysis of top management team compositional characteristics and corporate innovation in China

中国 多样性(控制论) 业务 任务(项目管理) 实证研究 作文(语言) 心理学 营销 经济 管理 政治学 统计 数学 语言学 哲学 法学
作者
Xuhua Wei,H.-J. Yang,Siyi Han
出处
期刊:Asia Pacific Business Review [Taylor & Francis]
卷期号:27 (1): 53-76 被引量:9
标识
DOI:10.1080/13602381.2021.1846952
摘要

Although a large number of empirical studies have explored the relationship between top management team (TMT) compositional characteristics and corporate innovation in China, there is much controversy regarding which kind of TMT compositional characteristic can better promote corporate innovation during the economic transition period. To reconcile these theoretical contradictions and explain why the empirical research results are inconsistent, we meta-analysed the effects of TMT compositional characteristics (i.e. variety, disparity and faultlines) on corporate innovation in China and explored the potential moderators between TMT compositional characteristics and corporate innovation. Based on 234 effect sizes reported in 89 studies (35,515 TMTs), we found that TMT composition types (i.e. task- and relation-oriented dimensions) could significantly moderate the relationship between TMT compositional characteristics and corporate innovation. Compared to TMT relation-oriented variety and disparity, TMT task-oriented variety and disparity were more positively related to Chinese corporate innovation. Further, TMT task-oriented faultline strength was positively related to Chinese corporate innovation, whereas TMT relation-oriented faultline strength was negatively related to it. Our findings not only help researchers understand why the relationship between TMT compositional characteristics and corporate innovation is inconsistent, but also help corporations in the backdrop to the economic transition to promote innovation by improving their TMT composition.
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
九韶发布了新的文献求助10
1秒前
正直的绯完成签到,获得积分10
1秒前
1秒前
1秒前
简单访卉完成签到,获得积分10
1秒前
CYF发布了新的文献求助10
1秒前
2秒前
陆梦鱼完成签到,获得积分10
2秒前
沉静的友灵完成签到,获得积分10
3秒前
jin应助amanda采纳,获得10
3秒前
4秒前
DW应助ting采纳,获得10
4秒前
科研通AI6.2应助bob采纳,获得10
5秒前
divi完成签到,获得积分10
5秒前
芋你呀完成签到,获得积分10
5秒前
yang_f发布了新的文献求助10
6秒前
花开绽放完成签到,获得积分10
7秒前
7秒前
7秒前
今后应助hxj采纳,获得20
7秒前
7秒前
Lucas应助友好的书南采纳,获得10
7秒前
liuyu发布了新的文献求助10
7秒前
8秒前
8秒前
8秒前
动听的善斓完成签到,获得积分10
8秒前
8秒前
润柏海发布了新的文献求助10
9秒前
9秒前
搜集达人应助a南妮采纳,获得10
9秒前
aaa发布了新的文献求助10
9秒前
秋风应助xxx采纳,获得10
11秒前
田様应助戴戴采纳,获得10
11秒前
宋一丹发布了新的文献求助10
11秒前
橘橘完成签到,获得积分10
11秒前
扎心发布了新的文献求助10
12秒前
科研小辉发布了新的文献求助10
13秒前
华子完成签到,获得积分10
13秒前
ACTIVE发布了新的文献求助10
13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
The Multiple Self-States Drawing Technique 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7768753
求助须知:如何正确求助?哪些是违规求助? 9311946
关于积分的说明 20326464
捐赠科研通 7353879
什么是DOI,文献DOI怎么找? 3315828
关于科研通互助平台的介绍 2464872
邀请新用户注册赠送积分活动 2330405