亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

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
3秒前
蜡笔小新发布了新的文献求助10
4秒前
小羊咩完成签到 ,获得积分0
7秒前
8秒前
Echan发布了新的文献求助10
11秒前
三岁完成签到 ,获得积分10
16秒前
年轻问柳发布了新的文献求助10
21秒前
yanzilin完成签到 ,获得积分10
24秒前
华仔应助Echan采纳,获得10
25秒前
26秒前
今后应助Z1070741749采纳,获得10
26秒前
单纯的泥猴桃完成签到,获得积分10
27秒前
28秒前
30秒前
LC完成签到 ,获得积分10
31秒前
May发布了新的文献求助10
32秒前
33秒前
35秒前
Z1070741749发布了新的文献求助10
40秒前
May完成签到,获得积分20
40秒前
Bressanone发布了新的文献求助30
42秒前
搜集达人应助贪玩的谷芹采纳,获得10
43秒前
44秒前
爸爸_爸爸_帮帮我完成签到,获得积分20
45秒前
Doc完成签到,获得积分10
47秒前
xing发布了新的文献求助10
47秒前
1分钟前
WW完成签到,获得积分10
1分钟前
科研通AI6应助Li采纳,获得10
1分钟前
年轻问柳完成签到,获得积分10
1分钟前
1分钟前
1分钟前
Echan发布了新的文献求助10
1分钟前
1分钟前
不安的依风完成签到,获得积分10
1分钟前
1分钟前
柯柯发布了新的文献求助30
1分钟前
ZhaoY完成签到,获得积分10
1分钟前
浣风完成签到,获得积分10
1分钟前
1分钟前
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
List of 1,091 Public Pension Profiles by Region 1561
Specialist Periodical Reports - Organometallic Chemistry Organometallic Chemistry: Volume 46 1000
Current Trends in Drug Discovery, Development and Delivery (CTD4-2022) 800
Foregrounding Marking Shift in Sundanese Written Narrative Segments 600
Holistic Discourse Analysis 600
Beyond the sentence: discourse and sentential form / edited by Jessica R. Wirth 600
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 5522538
求助须知:如何正确求助?哪些是违规求助? 4613518
关于积分的说明 14538888
捐赠科研通 4551221
什么是DOI,文献DOI怎么找? 2494081
邀请新用户注册赠送积分活动 1475062
关于科研通互助平台的介绍 1446465