Competitive overlap as a signal in expert partner choice: Evidence from patent law firm selection

选择(遗传算法) 专利法 业务 经济 产业组织 法律与经济学 法学 知识产权 计算机科学 人工智能 政治学
作者
Geoffrey Borchhardt,Balázs Kovács,Michelle Rogan
出处
期刊:Strategic Management Journal [Wiley]
标识
DOI:10.1002/smj.3700
摘要

Abstract Research Summary In market networks, firms regularly seek partners with needed expertise, but these partners often work with the firms' competitors. How such second‐order competitive overlap affects partner selection is unclear. Prior theory assumes firms view networks as “pipes” and emphasizes flows of competitor information via the shared partner as key in partner selection. We propose that firms also view networks as “prisms” and use competitive overlap as a signal of a potential partner's expertise. Hence, firms may prefer partners with competitive overlap. We find support for our claims in the patent law firm selection context. Furthermore, higher competitive overlap leads to slower patent acceptance but results in broader patents, implying that the competitive overlap expertise signal reduces search costs without significant performance loss. Managerial Summary When selecting expert partners like law firms or consultants, some companies may consider avoiding firms that also serve their competitor. However, when little is known about potential partners, this “competitive overlap” might be a way to assess their quality. We found that firms are more likely to choose patent law firms who work with their competitors. This occurs because a competitor's choice signals that partner's expertise. Companies rely on this signal most when they lack direct experience with potential partners or when entering new technological domains. While working with partners who serve competitors might slightly increase processing times, it can increase patent protection without compromising overall performance. These findings suggest that avoiding partners based solely on competitive overlap may limit access to valuable expertise.
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
orixero应助张靖采纳,获得10
1秒前
万能图书馆应助DanaLin采纳,获得10
1秒前
远山等故归完成签到,获得积分20
2秒前
明明发布了新的文献求助10
2秒前
落崖惊风发布了新的文献求助10
2秒前
chenqiumu应助皮卡丘比特采纳,获得100
2秒前
3秒前
小橙完成签到 ,获得积分10
4秒前
cainiao发布了新的文献求助10
4秒前
5秒前
5秒前
5秒前
5秒前
懵懂的钢笔完成签到 ,获得积分10
5秒前
Harper发布了新的文献求助30
6秒前
6秒前
blue完成签到 ,获得积分10
6秒前
pterionGao完成签到 ,获得积分10
8秒前
8秒前
8秒前
8秒前
漂亮糖豆完成签到 ,获得积分10
9秒前
10秒前
10秒前
11秒前
SJJ发布了新的文献求助10
11秒前
11秒前
开放的雅柏完成签到 ,获得积分10
12秒前
俞凡白完成签到,获得积分10
12秒前
jansorchen发布了新的文献求助10
12秒前
13秒前
14秒前
15秒前
15秒前
消音器发布了新的文献求助10
16秒前
大力的海蓝完成签到,获得积分10
16秒前
在水一方应助古往今来采纳,获得10
16秒前
16秒前
葛三发布了新的文献求助10
17秒前
暖暖完成签到,获得积分20
17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
Methoden des Rechts 600
Constitutional and Administrative Law 500
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
Vertebrate Palaeontology, 5th Edition 380
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 5284055
求助须知:如何正确求助?哪些是违规求助? 4437688
关于积分的说明 13814537
捐赠科研通 4318612
什么是DOI,文献DOI怎么找? 2370475
邀请新用户注册赠送积分活动 1365895
关于科研通互助平台的介绍 1329363