A Brave New World of Human Resources Research: Navigating Perils and Identifying Grand Challenges of the GenAI Revolution

社会学 政治学 重大挑战 环境伦理学 哲学 法学
作者
Anthony J. Nyberg,Deidra J. Schleicher,Bradford S. Bell,Corine Boon,Peter Cappelli,David G. Collings,Joseph Ernest Dalle Molle,Stefan Feuerriegel,Barry Gerhart,Yoojin Jeong,M. Audrey Korsgaard,Dana Minbaeva,Robert E. Ployhart,Prasanna Tambe,Ingo Weller,Patrick M. Wright,Valery Yakubovich
出处
期刊:Journal of Management [SAGE]
被引量:5
标识
DOI:10.1177/01492063251325188
摘要

This paper reviews the transformative role of Generative Artificial Intelligence (GenAI) in Human Resource (HR) management, from a practice perspective, highlighting both opportunities and challenges and laying out a use-inspired future research agenda. This scoping review is grounded in insights from a unique Summit held in Spring 2024, which brought together HR academic scholars with dozens of Fortune 500 Chief Human Resource Officers (CHROs) and their top technical leaders to discuss the workforce implications of GenAI. The paper identifies six key themes from the Summit practitioners: GenAI as disruptive and transformative, data as competitive advantage, adoption challenges, potential ethical abuses, the experimentation imperative, and the critical role of CHROs. These six themes provide a foundation for future research directions, which are discussed regarding six functional HR areas: recruitment and selection, training and development, performance management, job and work design, talent management, and compensation and benefits. The research agenda in each area emphasizes the need for academic researchers to understand and address the practical challenges posed by GenAI. Overcoming these substantive challenges will demand meaningful effort and a keen willingness to learn, on the part of both HR leaders and scholars. The paper concludes with a call to action for management scholars to engage in use-inspired research that bridges the gap between academic knowledge and practical HR challenges.
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
刚刚
1秒前
西西发布了新的文献求助10
1秒前
1秒前
医学帅哥发布了新的文献求助10
2秒前
pears完成签到,获得积分20
2秒前
宿雨发布了新的文献求助10
2秒前
酸辣粉发布了新的文献求助20
2秒前
木木发布了新的文献求助10
3秒前
tracy发布了新的文献求助10
3秒前
清泓完成签到,获得积分10
3秒前
GDL发布了新的文献求助10
3秒前
影1完成签到,获得积分10
4秒前
jinxuan完成签到,获得积分10
4秒前
LHZM关注了科研通微信公众号
5秒前
科研小牛马完成签到,获得积分10
5秒前
sward915发布了新的文献求助10
5秒前
liuuuuu完成签到 ,获得积分10
6秒前
6秒前
6秒前
科研通AI6应助RYK采纳,获得10
7秒前
嘎哈发布了新的文献求助10
7秒前
8秒前
棉花糖完成签到,获得积分20
8秒前
清泓发布了新的文献求助10
9秒前
量子星尘发布了新的文献求助10
9秒前
10秒前
10秒前
11秒前
量子星尘发布了新的文献求助10
11秒前
11秒前
11秒前
12秒前
summer完成签到 ,获得积分10
12秒前
CipherSage应助jingyu841123采纳,获得10
13秒前
yznfly给请输入昵称的求助进行了留言
13秒前
CY发布了新的文献求助30
14秒前
医学帅哥完成签到,获得积分10
14秒前
Sherlock完成签到,获得积分10
14秒前
zxp发布了新的文献求助10
14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
Binary Alloy Phase Diagrams, 2nd Edition 8000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 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 5663244
求助须知:如何正确求助?哪些是违规求助? 4848011
关于积分的说明 15103155
捐赠科研通 4821513
什么是DOI,文献DOI怎么找? 2580786
邀请新用户注册赠送积分活动 1535013
关于科研通互助平台的介绍 1493343