Hunting for talent: Firm‐driven labor market search in the United States

杠杆(统计) 业务 劳动经济学 测量数据收集 营销 经济 计算机科学 统计 数学 机器学习
作者
Ines Black,Sharique Hasan,Rembrand Koning
出处
期刊:Strategic Management Journal [Wiley]
卷期号:45 (3): 429-462 被引量:14
标识
DOI:10.1002/smj.3559
摘要

Abstract Research Summary We analyze firm‐driven labor market search, where firms “hunt” for talent rather than rely on workers to apply for vacancies. We leverage three approaches. We develop a model of firm‐driven search and derive equilibrium conditions under which firms use this channel. We test our model's predictions using two data sources. Data from a nationally representative survey of 10,000 workers shows that the percentage hired through recruiting has increased from 4.9% in 1991 to 14.3% in 2022. This share is larger for higher‐skilled workers and those with online profiles on LinkedIn. We complement this analysis with data on the near universe of online job postings from 2010 through 2020. Consistent with our model and worker survey evidence, we find firms that demand higher‐skilled workers or operate in labor markets with heavy LinkedIn use are more likely to “hunt for talent.” Managerial Summary We study the phenomenon of “hunting” for talent, where firms fill open positions by searching for workers and inviting them to a recruiting process, rather than relying on workers to apply directly. We find that the percentage of workers hired through hunting has increased from 4.9% in 1991 to 14.3% in 2022. We propose that firms that rely more on high‐skilled workers and/or operate within industries with a higher share of available candidates with online profiles are more likely to hunt for their talent. We find support for this conjecture using two data sets, documenting the worker and firm side of the labor market. Data from a nationally representative survey of 10,000 workers shows they are more likely to have been “hunted” by their employer if they work in an occupation that requires more skills, or if their industry has more candidates with online profiles. Moreover, data on US‐wide job postings over the past decade shows that firms in need of highly skilled workers are more likely to invest in outbound recruiting capabilities.

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
2秒前
陈佳利关注了科研通微信公众号
2秒前
3秒前
4秒前
Ava应助洋洋得意采纳,获得10
5秒前
5秒前
8秒前
念y完成签到 ,获得积分10
9秒前
9秒前
12秒前
香蕉觅云应助11111采纳,获得10
13秒前
13秒前
14秒前
鹊起发布了新的文献求助10
14秒前
谢桓完成签到 ,获得积分10
14秒前
15秒前
15秒前
嘿嘿发布了新的文献求助10
15秒前
15秒前
16秒前
xiaoxu发布了新的文献求助10
17秒前
结实梦琪发布了新的文献求助10
18秒前
18秒前
scuter发布了新的文献求助20
19秒前
lbx发布了新的文献求助10
19秒前
火火完成签到 ,获得积分10
19秒前
现代的雪糕完成签到,获得积分10
20秒前
猛发sci完成签到,获得积分10
20秒前
mcsmdxs发布了新的文献求助10
20秒前
ww应助壮观砖家采纳,获得20
21秒前
陈佳利发布了新的文献求助30
21秒前
小杨完成签到,获得积分20
22秒前
22秒前
大力麦片完成签到,获得积分10
22秒前
我是老大应助关乔采纳,获得10
22秒前
Hu发布了新的文献求助10
23秒前
量子星尘发布了新的文献求助10
24秒前
善学以致用应助夹心饼干采纳,获得30
24秒前
聪明的念芹完成签到,获得积分20
25秒前
26秒前
高分求助中
Theoretical Modelling of Unbonded Flexible Pipe Cross-Sections 10000
(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
《药学类医疗服务价格项目立项指南(征求意见稿)》 880
花の香りの秘密―遺伝子情報から機能性まで 800
3rd Edition Group Dynamics in Exercise and Sport Psychology New Perspectives Edited By Mark R. Beauchamp, Mark Eys Copyright 2025 600
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
Digital and Social Media Marketing 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5620818
求助须知:如何正确求助?哪些是违规求助? 4705416
关于积分的说明 14931932
捐赠科研通 4763450
什么是DOI,文献DOI怎么找? 2551239
邀请新用户注册赠送积分活动 1513799
关于科研通互助平台的介绍 1474704