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

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Exploring the Intersection of Artificial Intelligence and Human Resource Management: A Bibliometric Study. / Ossiannilsson, Ebba; Altinay, Fahriye; Shadiev, Rustam et al.
In: BRAIN. Broad Research in Artificial Intelligence and Neuroscience, Vol. 15, No. 4, 03.12.2024, p. 215-230.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Ossiannilsson, E, Altinay, F, Shadiev, R, Benachour, P, Berigel, M, Dagli, G, Ayaz, A, Yikici, B & Altinay, Z 2024, 'Exploring the Intersection of Artificial Intelligence and Human Resource Management: A Bibliometric Study', BRAIN. Broad Research in Artificial Intelligence and Neuroscience, vol. 15, no. 4, pp. 215-230. https://doi.org/10.70594/brain/15.4/15

APA

Ossiannilsson, E., Altinay, F., Shadiev, R., Benachour, P., Berigel, M., Dagli, G., Ayaz, A., Yikici, B., & Altinay, Z. (2024). Exploring the Intersection of Artificial Intelligence and Human Resource Management: A Bibliometric Study. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 15(4), 215-230. https://doi.org/10.70594/brain/15.4/15

Vancouver

Ossiannilsson E, Altinay F, Shadiev R, Benachour P, Berigel M, Dagli G et al. Exploring the Intersection of Artificial Intelligence and Human Resource Management: A Bibliometric Study. BRAIN. Broad Research in Artificial Intelligence and Neuroscience. 2024 Dec 3;15(4):215-230. doi: 10.70594/brain/15.4/15

Author

Ossiannilsson, Ebba ; Altinay, Fahriye ; Shadiev, Rustam et al. / Exploring the Intersection of Artificial Intelligence and Human Resource Management : A Bibliometric Study. In: BRAIN. Broad Research in Artificial Intelligence and Neuroscience. 2024 ; Vol. 15, No. 4. pp. 215-230.

Bibtex

@article{758e0b2ffa964857a399a5ec1c06bae4,
title = "Exploring the Intersection of Artificial Intelligence and Human Resource Management: A Bibliometric Study",
abstract = "Artificial Intelligence presents promising opportunities to improve efficiency, enhance decision-making, and boost employee engagement within human resource management. This study explores the intersection of Artificial Intelligence and Human Resource Management through an in-depth bibliometric analysis, offering a comprehensive overview of research trends and advancements over the past decade. Drawing from the Web of Science database, this research examined 491 journal articles published from 2014 to 2023. AI 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 and outcomes. The study concludes that ongoing advancements in Artificial Intelligence technology will continue to enhance Artificial Intelligence practices, leading to a more adaptable, responsive, and efficient workforce capable of addressing future challenges.",
author = "Ebba Ossiannilsson and Fahriye Altinay and Rustam Shadiev and Phillip Benachour and Muhammet Berigel and Gokmen Dagli and Ahmet Ayaz and Betul Yikici and Zehra Altinay",
year = "2024",
month = dec,
day = "3",
doi = "10.70594/brain/15.4/15",
language = "English",
volume = "15",
pages = "215--230",
journal = "BRAIN. Broad Research in Artificial Intelligence and Neuroscience",
number = "4",

}

RIS

TY - JOUR

T1 - Exploring the Intersection of Artificial Intelligence and Human Resource Management

T2 - A Bibliometric Study

AU - Ossiannilsson, Ebba

AU - Altinay, Fahriye

AU - Shadiev, Rustam

AU - Benachour, Phillip

AU - Berigel, Muhammet

AU - Dagli, Gokmen

AU - Ayaz, Ahmet

AU - Yikici, Betul

AU - Altinay, Zehra

PY - 2024/12/3

Y1 - 2024/12/3

N2 - Artificial Intelligence presents promising opportunities to improve efficiency, enhance decision-making, and boost employee engagement within human resource management. This study explores the intersection of Artificial Intelligence and Human Resource Management through an in-depth bibliometric analysis, offering a comprehensive overview of research trends and advancements over the past decade. Drawing from the Web of Science database, this research examined 491 journal articles published from 2014 to 2023. AI 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 and outcomes. The study concludes that ongoing advancements in Artificial Intelligence technology will continue to enhance Artificial Intelligence practices, leading to a more adaptable, responsive, and efficient workforce capable of addressing future challenges.

AB - Artificial Intelligence presents promising opportunities to improve efficiency, enhance decision-making, and boost employee engagement within human resource management. This study explores the intersection of Artificial Intelligence and Human Resource Management through an in-depth bibliometric analysis, offering a comprehensive overview of research trends and advancements over the past decade. Drawing from the Web of Science database, this research examined 491 journal articles published from 2014 to 2023. AI 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 and outcomes. The study concludes that ongoing advancements in Artificial Intelligence technology will continue to enhance Artificial Intelligence practices, leading to a more adaptable, responsive, and efficient workforce capable of addressing future challenges.

U2 - 10.70594/brain/15.4/15

DO - 10.70594/brain/15.4/15

M3 - Journal article

VL - 15

SP - 215

EP - 230

JO - BRAIN. Broad Research in Artificial Intelligence and Neuroscience

JF - BRAIN. Broad Research in Artificial Intelligence and Neuroscience

IS - 4

ER -