Bridging human resource development processes through generative Artificial Intelligence

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.

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Publication Details

Journal
Human Resource Development Quarterly
Published
2024-08-25
DOI
https://doi.org/10.1002/hrdq.21551
Citations
20
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
13.49
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article

Bridging human resource development processes through generative Artificial Intelligence

Sewon Kim, Toby Egan, Paweł Korzyński
20 citations
Human Resource Development Quarterly
AI and HR Technologies
13.49
article

Bridging human resource development processes through generative Artificial Intelligence

Sewon Kim, Toby Egan, Paweł Korzyński
article en
20 citations

Abstract

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.

Human Resource Development QuarterlyVol. 35(3)
Kozminski University (PL), State University of New York (US), University of Maryland, College Park (US), Empire State University (US)
Decent work and economic growth
Openalex Percentile: Top 1%
AI and HR Technologies
13.49
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Bridging human resource development processes through generative Artificial Intelligence — Sewon Kim, Toby Egan, et al. · Human Resource Development Quarterly (2024) | TGRS Research Map | TGRS