Location strategies of spinoff entrants: Implications of clustering and staying close to the parents

集聚经济 溢出效应 产品(数学) 业务 营销 半导体工业 星团(航天器) 产业组织 竞争优势 经济 微观经济学 工程类 计算机科学 制造工程 数学 程序设计语言 几何学
作者
Jarrod Humphrey,Gwendolyn Kuo-fang Lee
出处
期刊:Proceedings - Academy of Management [Academy of Management]
卷期号:2021 (1): 14894-14894 被引量:1
标识
DOI:10.5465/ambpp.2021.14894abstract
摘要

The research on agglomeration posits that co-locating in a cluster with industry rivals benefits the firm because of its proximity to resources including suppliers, labor, and knowledge spillover from rivals. Although it’s often assumed that co-location benefits new entrants, more recent research finds that stronger entrants gain less from co-location. Spinoff entrants—the organizational descendants of ongoing established firms—are comparatively stronger entrants because of the product, market, and industry knowledge they inherit from their parents. They may gain less from co-location, because the competitive pressures exerted by their parents and other industry rivals are higher when they are more proximate. For the spinoff entrants that locate farther away, the inheritance from their parents may be portable and thus do not decay with distance. Our paper examines the performance implications of whether spinoff entrants are located inside a cluster and staying close to their parents. Specifically, we conduct an event history analysis estimating the amount of time it takes a spinoff entrant to reach six entrepreneurial milestones. We find that being located inside a cluster and staying close to the parents are beneficial to spinoffs only when the industry has a single dominant cluster, as we observe in the semiconductor industry. When the industry has many clusters widely dispersed across the country, as we observe in the pharmaceutical industry, co-location is associated with worse performance. Our findings suggest that the dispersion of clusters in an industry is one condition where the assumption about new entrants benefiting from co-location is invalid.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
miqiqi完成签到,获得积分10
刚刚
CodeCraft应助cc采纳,获得10
3秒前
3秒前
会咩的嘉人璐完成签到,获得积分10
4秒前
4秒前
FashionBoy应助wujiaoqian采纳,获得10
6秒前
6秒前
早点睡觉丶完成签到,获得积分20
7秒前
orange9发布了新的文献求助10
7秒前
非梦完成签到,获得积分10
8秒前
10秒前
11111完成签到,获得积分10
10秒前
12秒前
扶苏完成签到,获得积分10
12秒前
上官若男应助菜鸡游泳采纳,获得10
12秒前
13秒前
Vintage完成签到,获得积分10
13秒前
灰灰发布了新的文献求助10
13秒前
无名老大应助伍盎采纳,获得20
14秒前
芈钥完成签到 ,获得积分10
15秒前
cc发布了新的文献求助10
15秒前
任我行发布了新的文献求助10
16秒前
16秒前
尼罗河的南墙完成签到,获得积分10
16秒前
猪猪发布了新的文献求助10
17秒前
传奇3应助富贵小粉猪采纳,获得10
19秒前
andrele发布了新的文献求助10
19秒前
爆米花应助尼罗河的南墙采纳,获得10
20秒前
领导范儿应助妮妮采纳,获得10
20秒前
小蘑菇应助任我行采纳,获得10
22秒前
22秒前
儒雅沛蓝发布了新的文献求助10
22秒前
27秒前
WM应助猪猪采纳,获得10
29秒前
29秒前
30秒前
30秒前
yue123完成签到 ,获得积分10
30秒前
明亮的青旋完成签到,获得积分10
31秒前
爆米花应助子乔采纳,获得10
31秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1200
BIOLOGY OF NON-CHORDATES 1000
进口的时尚——14世纪东方丝绸与意大利艺术 Imported Fashion:Oriental Silks and Italian Arts in the 14th Century 800
Autoregulatory progressive resistance exercise: linear versus a velocity-based flexible model 550
Education and Upward Social Mobility in China: Imagining Positive Sociology with Bourdieu 500
Zeitschrift für Orient-Archäologie 500
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 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 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3352752
求助须知:如何正确求助?哪些是违规求助? 2977749
关于积分的说明 8681356
捐赠科研通 2658744
什么是DOI,文献DOI怎么找? 1455921
科研通“疑难数据库(出版商)”最低求助积分说明 674190
邀请新用户注册赠送积分活动 664810