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

IF 9.3 1区 管理学 Q1 BUSINESS
Anthony J. Nyberg, Deidra J. Schleicher, Bradford S. Bell, Corine Boon, Peter Cappelli, David G. Collings, Joseph E. 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
{"title":"A Brave New World of Human Resources Research: Navigating Perils and Identifying Grand Challenges of the GenAI Revolution","authors":"Anthony J. Nyberg, Deidra J. Schleicher, Bradford S. Bell, Corine Boon, Peter Cappelli, David G. Collings, Joseph E. 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","doi":"10.1177/01492063251325188","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":54212,"journal":{"name":"Journal of Management","volume":"37 1","pages":""},"PeriodicalIF":9.3000,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/01492063251325188","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

Abstract

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.
人力资源研究的美丽新世界:导航危险和识别基因革命的重大挑战
本文从实践的角度回顾了生成式人工智能(GenAI)在人力资源(HR)管理中的变革作用,强调了机遇和挑战,并提出了以使用为灵感的未来研究议程。这一范围审查基于2024年春季举行的一次独特峰会的见解,该峰会汇集了人力资源学术学者与数十位财富500强首席人力资源官(chro)及其顶级技术领导者,讨论了GenAI对劳动力的影响。本文确定了峰会实践者的六个关键主题:基因人工智能具有颠覆性和变革性,数据具有竞争优势,采用挑战,潜在的道德滥用,实验的必要性以及chro的关键作用。这六个主题为未来的研究方向奠定了基础,并从人力资源职能的招聘与选拔、培训与发展、绩效管理、岗位与工作设计、人才管理和薪酬福利六个方面进行了探讨。每个领域的研究议程都强调了学术研究人员理解和解决GenAI带来的实际挑战的必要性。克服这些实质性的挑战需要人力资源领导者和学者付出有意义的努力和热切的学习意愿。论文最后呼吁管理学者采取行动,从事以使用为灵感的研究,弥合学术知识与实际人力资源挑战之间的差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
22.40
自引率
5.20%
发文量
0
期刊介绍: The Journal of Management (JOM) aims to publish rigorous empirical and theoretical research articles that significantly contribute to the field of management. It is particularly interested in papers that have a strong impact on the overall management discipline. JOM also encourages the submission of novel ideas and fresh perspectives on existing research. The journal covers a wide range of areas, including business strategy and policy, organizational behavior, human resource management, organizational theory, entrepreneurship, and research methods. It provides a platform for scholars to present their work on these topics and fosters intellectual discussion and exchange in these areas.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信