{"title":"Bridging human resource development processes through generative Artificial Intelligence","authors":"Pawel Korzynski PhD, Sewon Kim PhD, Toby Egan PhD","doi":"10.1002/hrdq.21551","DOIUrl":null,"url":null,"abstract":"<p>This editorial article examines how generative Artificial Intelligence (GAI) can bridge various human resource development (HRD) processes. As GAI adoption increases in human resources practices, understanding its potential to integrate different HRD activities becomes more important. The article reviews recent literature on Artificial Intelligence (AI) applications in HRD and explores GAI-enabled links between key HRD processes. The linkages include data-driven decision-making, real-time skill gap analysis, job crafting with GAI, GAI-supported personalized development plans, GAI-powered employee sentiment analysis, GAI chatbots, GAI-enabled virtual reality simulations, and GAI-supported social network analysis in talent and organization development contexts. By highlighting these GAI-enabled interconnections, the article provides insights into a more integrated approach to HRD. It also discusses implications for HRD practitioners and researchers, analyzing specific applications of GAI in HRD and recommending future research.</p>","PeriodicalId":47803,"journal":{"name":"Human Resource Development Quarterly","volume":null,"pages":null},"PeriodicalIF":4.0000,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Resource Development Quarterly","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hrdq.21551","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INDUSTRIAL RELATIONS & LABOR","Score":null,"Total":0}
引用次数: 0
Abstract
This editorial article examines how generative Artificial Intelligence (GAI) can bridge various human resource development (HRD) processes. As GAI adoption increases in human resources practices, understanding its potential to integrate different HRD activities becomes more important. The article reviews recent literature on Artificial Intelligence (AI) applications in HRD and explores GAI-enabled links between key HRD processes. The linkages include data-driven decision-making, real-time skill gap analysis, job crafting with GAI, GAI-supported personalized development plans, GAI-powered employee sentiment analysis, GAI chatbots, GAI-enabled virtual reality simulations, and GAI-supported social network analysis in talent and organization development contexts. By highlighting these GAI-enabled interconnections, the article provides insights into a more integrated approach to HRD. It also discusses implications for HRD practitioners and researchers, analyzing specific applications of GAI in HRD and recommending future research.
这篇社论文章探讨了生成式人工智能（GAI）如何在各种人力资源开发（HRD）过程中发挥桥梁作用。随着 GAI 在人力资源实践中的应用越来越多，了解其整合不同人力资源开发活动的潜力变得越来越重要。本文回顾了近期有关人工智能（AI）在人力资源开发中应用的文献，并探讨了 GAI 在人力资源开发关键流程之间的联系。这些联系包括数据驱动的决策、实时技能差距分析、利用GAI进行职位设计、GAI支持的个性化发展计划、GAI驱动的员工情感分析、GAI聊天机器人、GAI支持的虚拟现实模拟，以及GAI支持的人才和组织发展背景下的社交网络分析。通过强调这些由 GAI 支持的相互联系，文章对更加综合的人力资源开发方法提出了见解。文章还讨论了对人力资源开发从业人员和研究人员的影响，分析了GAI在人力资源开发中的具体应用，并对未来的研究提出了建议。
期刊介绍：
Human Resource Development Quarterly (HRDQ) is the first scholarly journal focused directly on the evolving field of human resource development (HRD). It provides a central focus for research on human resource development issues as well as the means for disseminating such research. HRDQ recognizes the interdisciplinary nature of the HRD field and brings together relevant research from the related fields, such as economics, education, management, sociology, and psychology. It provides an important link in the application of theory and research to HRD practice. HRDQ publishes scholarly work that addresses the theoretical foundations of HRD, HRD research, and evaluation of HRD interventions and contexts.
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