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Bridging human resource development processes through generative Artificial Intelligence

delete2024-08-25
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OA
AI
P
Paweł Korzyński
S
Sewon Kim *
T
Toby Egan
DOI:10.1002/hrdq.21551delete
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摘要

摘要

En 中文
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.

期刊

Human Resource Development Quarterly 封面图
Human Resource Development Quarterly
IF:
3.8
论文数:
493
被引数:
2.1K

机构

University System of Maryland 封面图
University System of Maryland
学者数:
6.5W
论文数: 5.6W
被引数: 113
K
kozminski university
学者数:
264
论文数: 297
被引数: 1
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