Exploring the Intersection of Artificial Intelligence and Human Resource Management: A Bibliometric Study

被引:0
|
作者
Ossiannilsson, Ebba [1 ]
Altinay, Fahriye [2 ]
Shadiev, Rustam [3 ]
Benachour, Phillip [4 ]
Berigel, Muhammet [5 ]
Dagli, Gokmen [6 ]
Ayaz, Ahmet [7 ]
Yikici, Betul [6 ]
Altinay, Zehra [8 ]
机构
[1] Ossiannilsson Qual Open Online Learning Consultanc, I4Qual Se, Lund, Sweden
[2] Near East Univ, Inst Grad Studies, Fac Educ, Soc Res & Dev Ctr, Nicosia, Cyprus
[3] Zhejiang Univ, Coll Educ, Hangzhou, Peoples R China
[4] Univ Lancaster, Lancaster, England
[5] Karadeniz Tech Univ, Fac Econ & Adm Sci, Management Informat Syst, TR-61080 Trabzon, Turkiye
[6] Univ Kyrenia, Karakum, Cyprus
[7] Karadeniz Tech Univ, Digital Transformat Off, TR-61080 Trabzon, Turkiye
[8] Near East Univ, Fac Educ, Soc Res & Dev Ctr, Nicosia, Cyprus
关键词
artificial intelligence; bibliometric analysis; human resource management;
D O I
10.70594/brain/15.4/15
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Artificial Intelligence presents promising opportunities improve efficiency. decision-making, and boost employee engagement within human resource management. This study explores the intersection of Artificial Intelligenca and Human Resource Management through an in-depth bibliometric analysis, offering a comprehensive overview of research trends and advancements over the past decade. Prawing from the Web of Science database, this research examined 491 journal articles published from 2014 to 2023. Al applications in Human Resource Management have been particularly valuable during the COVID-19 pandemic, aiding healthcare professionals, facilitating remote work, and optimizing workforce management under challenging conditions. Implementing Artificial Intelligence in Human Resource Management Leadership management and information management has significantly improved organizational processes The study and outcomes. concludes that ongoing advandements in Artificial Intelligence technologyll continue to enhance Artificial Intelligence practices leading to a more adaptable, responsive, and efficient workforce capable of addressing future challenges.
引用
收藏
页码:215 / 230
页数:16
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