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Bridging human resource development processes through generative Artificial Intelligence.

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Názov: Bridging human resource development processes through generative Artificial Intelligence.
Autori: Korzynski, Pawel, Kim, Sewon, Egan, Toby
Zdroj: Human Resource Development Quarterly; Sep2024, Vol. 35 Issue 3, p247-256, 10p
Predmety: GENERATIVE artificial intelligence, ARTIFICIAL intelligence, HUMAN resources departments, SOCIAL network analysis, ORGANIZATIONAL change
Abstrakt: 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. [ABSTRACT FROM AUTHOR]
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Databáza: Complementary Index
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Abstrakt: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. [ABSTRACT FROM AUTHOR]
ISSN:10448004
DOI:10.1002/hrdq.21551