Artificial intelligence, knowledge and human resource management: A systematic literature review of theoretical tensions and strategic implications

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge Pub Date : 2025-09-18 DOI:10.1016/j.jik.2025.100809

Mercedes Úbeda-García, Bartolomé Marco-Lajara, Patrocinio C. Zaragoza-Sáez, Esther Poveda-Pareja

{"title":"Artificial intelligence, knowledge and human resource management: A systematic literature review of theoretical tensions and strategic implications","authors":"Mercedes Úbeda-García, Bartolomé Marco-Lajara, Patrocinio C. Zaragoza-Sáez, Esther Poveda-Pareja","doi":"10.1016/j.jik.2025.100809","DOIUrl":null,"url":null,"abstract":"<div><div>This article studies the interaction between artificial intelligence (AI) and human resource management (HRM) through a bibliometric analysis of 203 articles published between 2002 and 2024 in the Web of Science database. The analysis identifies six fundamental strategic research themes, ranging from automation and predictive analysis to the personalisation of the employee experience.</div><div>The paper illustrates the growing importance of AI and HRM, evidenced by an exponential increase in publications since 2016, with a significant peak after the COVID-19 pandemic. The conclusions highlight the need for a balanced approach that integrates technological innovation with rigorous ethical principles, particularly in critical areas such as algorithmic transparency, fairness in decision-making and personal data management.</div><div>The research also provides a valuable roadmap for future research and sustainable organisational practices in the digital age, highlighting the importance of addressing emerging challenges such as technostress and the implications of personalisation in hybrid work environments.</div><div>In addition to capturing the ways in which AI is transforming traditional HRM processes and the aspects covered by the literature so far, this paper also establishes a frame of reference for understanding and addressing the evolution of talent management in a rapidly changing technological context.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100809"},"PeriodicalIF":15.5000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Innovation & Knowledge","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2444569X25001544","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 article studies the interaction between artificial intelligence (AI) and human resource management (HRM) through a bibliometric analysis of 203 articles published between 2002 and 2024 in the Web of Science database. The analysis identifies six fundamental strategic research themes, ranging from automation and predictive analysis to the personalisation of the employee experience.

The paper illustrates the growing importance of AI and HRM, evidenced by an exponential increase in publications since 2016, with a significant peak after the COVID-19 pandemic. The conclusions highlight the need for a balanced approach that integrates technological innovation with rigorous ethical principles, particularly in critical areas such as algorithmic transparency, fairness in decision-making and personal data management.

The research also provides a valuable roadmap for future research and sustainable organisational practices in the digital age, highlighting the importance of addressing emerging challenges such as technostress and the implications of personalisation in hybrid work environments.

In addition to capturing the ways in which AI is transforming traditional HRM processes and the aspects covered by the literature so far, this paper also establishes a frame of reference for understanding and addressing the evolution of talent management in a rapidly changing technological context.

查看原文本刊更多论文

人工智能、知识和人力资源管理：理论张力和战略意义的系统文献综述

本文通过对Web of Science数据库2002年至2024年间发表的203篇论文进行文献计量分析，研究了人工智能（AI）与人力资源管理（HRM）之间的相互作用。该分析确定了六个基本的战略研究主题，从自动化和预测分析到员工体验的个性化。

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

Journal of Innovation & Knowledge Multiple-

CiteScore

16.10

自引率

12.70%

发文量

118

审稿时长

37 days

期刊介绍： The Journal of Innovation and Knowledge (JIK) explores how innovation drives knowledge creation and vice versa, emphasizing that not all innovation leads to knowledge, but enduring innovation across diverse fields fosters theory and knowledge. JIK invites papers on innovations enhancing or generating knowledge, covering innovation processes, structures, outcomes, and behaviors at various levels. Articles in JIK examine knowledge-related changes promoting innovation for societal best practices. JIK serves as a platform for high-quality studies undergoing double-blind peer review, ensuring global dissemination to scholars, practitioners, and policymakers who recognize innovation and knowledge as economic drivers. It publishes theoretical articles, empirical studies, case studies, reviews, and other content, addressing current trends and emerging topics in innovation and knowledge. The journal welcomes suggestions for special issues and encourages articles to showcase contextual differences and lessons for a broad audience. In essence, JIK is an interdisciplinary journal dedicated to advancing theoretical and practical innovations and knowledge across multiple fields, including Economics, Business and Management, Engineering, Science, and Education.