Artificial Intelligence in Human Resource Management: A Bibliometric Analysis on Trends, Prospects and Future Research Agenda

Nuri Çeliker; Sergen Gürsoy

Makale detayları

Artificial Intelligence in Human Resource Management: A Bibliometric Analysis on Trends, Prospects and Future Research Agenda

Yazarlar:

Nuri Çeliker | Sergen Gürsoy

Yayıncı:

Sakarya University

Ana Başlıklar:

İşletme | İş Sistemleri (Diğer)

Dergi:

İşletme Bilimi Dergisi Vol.13 Issue 1, pp.97-120

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001342888

pISSN:

2148-0737

Anahtar kelimeler:

Özet:

 This study aims to reveal the general trends and intellectual structure of scientific research on artificial intelligence applications in Human Resource Management through bibliometric analysis. The fact that the subject is rapidly gaining importance in academic and sectoral terms makes it necessary to make a systematic evaluation to understand the effects of artificial intelligence in HRM processes. The 236 research data obtained from the Web of Science WoS database were analyzed using the Bibliometrix application programmed in R language. In this context, leading publications, authors, journals and countries on the subject are identified, research trends are revealed and future expectations are presented. The findings of the study show that research interest and the number of scientific publications on the subject have increased in recent years, with China and the US being the most productive countries. The application of artificial intelligence in recruitment processes and big data analytics are key trending concepts frequently used in research. The Internet of Things IoT theme shows the most recent research trend on the topic. Future research should consider the impact of AI on other HRM functions other than recruitment. The impact of AI in HRM on work engagement, gig, economic security, legal outlook and sustainable development have been identified as potential study topics for the future research agenda. The study provides an overview of the research scope and intellectual structure of the topic for those with a scientific and industry interest in the application of AI in HRM.

 This study aims to reveal the general trends and intellectual structure of scientific research on artificial intelligence applications in Human Resource Management through bibliometric analysis. The fact that the subject is rapidly gaining importance in academic and sectoral terms makes it necessary to make a systematic evaluation to understand the effects of artificial intelligence in HRM processes. The 236 research data obtained from the Web of Science WoS database were analyzed using the Bibliometrix application programmed in R language. In this context, leading publications, authors, journals and countries on the subject are identified, research trends are revealed and future expectations are presented. The findings of the study show that research interest and the number of scientific publications on the subject have increased in recent years, with China and the US being the most productive countries. The application of artificial intelligence in recruitment processes and big data analytics are key trending concepts frequently used in research. The Internet of Things IoT theme shows the most recent research trend on the topic. Future research should consider the impact of AI on other HRM functions other than recruitment. The impact of AI in HRM on work engagement, gig, economic security, legal outlook and sustainable development have been identified as potential study topics for the future research agenda. The study provides an overview of the research scope and intellectual structure of the topic for those with a scientific and industry interest in the application of AI in HRM.

 This study aims to reveal the general trends and intellectual structure of scientific research on artificial intelligence applications in Human Resource Management through bibliometric analysis. The fact that the subject is rapidly gaining importance in academic and sectoral terms makes it necessary to make a systematic evaluation to understand the effects of artificial intelligence in HRM processes. The 236 research data obtained from the Web of Science WoS database were analyzed using the Bibliometrix application programmed in R language. In this context, leading publications, authors, journals and countries on the subject are identified, research trends are revealed and future expectations are presented. The findings of the study show that research interest and the number of scientific publications on the subject have increased in recent years, with China and the US being the most productive countries. The application of artificial intelligence in recruitment processes and big data analytics are key trending concepts frequently used in research. The Internet of Things IoT theme shows the most recent research trend on the topic. Future research should consider the impact of AI on other HRM functions other than recruitment. The impact of AI in HRM on work engagement, gig, economic security, legal outlook and sustainable development have been identified as potential study topics for the future research agenda. The study provides an overview of the research scope and intellectual structure of the topic for those with a scientific and industry interest in the application of AI in HRM.

 Bu çalışma, İnsan Kaynakları Yönetiminde yapay zekâ uygulamalarına yönelik bilimsel araştırmaların genel eğilimlerini ve entelektüel yapısını bibliyometrik analiz yöntemiyle ortaya koymayı amaçlamaktadır. Konunun akademik ve sektörel açıdan hızla önem kazanması, İKY süreçlerinde yapay zekânın etkilerini anlamaya yönelik sistematik bir değerlendirme yapılmasını gerekli kılmaktadır. Web of Science WoS veri tabanından elde edilen 236 araştırma verisi, R dilinde programlanmış Bibliometrix uygulaması kullanılarak analiz edilmiştir. Bu kapsamda, konuyla ilgili önde gelen yayınlar, yazarlar, dergiler ve ülkeler belirlenmekte, araştırma eğilimleri ortaya çıkarılmakta ve geleceğe yönelik beklentiler sunulmaktadır. Çalışmada elde edilen bulgular, konuya ilişkin araştırma ilgisinin ve bilimsel yayın sayısının son yıllarda arttığını, Çin ve ABDnin en üretken ülkeler olduğunu göstermektedir. İşe alım süreçlerinde yapay zekâ uygulaması ve büyük veri analitiği, araştırmalarda sıklıkla kullanılan trend anahtar kavramlardır. Nesnelerin interneti IoT teması, konu ile ilgili en güncel araştırma eğilimini göstermektedir. Gelecek araştırmalar, yapay zekânın işe alım dışındaki diğer İKY fonksiyonları üzerindeki etkilerini gündemine almalıdır. İKYnde yapay zekânın işe bağlılık, gig, ekonomik güvenlik, yasal görünüm ve sürdürülebilir gelişim üzerindeki etkileri gelecekteki araştırma gündemi için potansiyel çalışma konuları olarak belirlenmiştir. Çalışma, İKYnde yapay zekâ uygulamalarına bilimsel ve sektörel açıdan ilgi duyan kişilere konunun araştırma kapsamı ve entelektüel yapısı hakkında genel bir bakış sunmaktadır.

Makale detayları

Artificial Intelligence in Human Resource Management: A Bibliometric Analysis on Trends, Prospects and Future Research Agenda

Yazarlar:

Nuri Çeliker | Sergen Gürsoy

Yayıncı:

Sakarya University

Ana Başlıklar:

İşletme | İş Sistemleri (Diğer)

Dergi:

İşletme Bilimi Dergisi Vol.13 Issue 1, pp.97-120

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001342888

pISSN:

2148-0737

Artificial Intelligence

Human Resource Management

HRM

Bibliometrics

Industry 4.0Yapay zekâ

İnsan Kaynakları Yönetimi

İKY

Bibliyometrik

Endüstri 4.0

Sayı

Makale detayları

Yazarlar: Nuri Çeliker | Sergen Gürsoy

Yayıncı: Sakarya University

Ana Başlıklar: İşletme | İş Sistemleri (Diğer)

Dergi: İşletme Bilimi Dergisi Vol.13 Issue 1, pp.97-120

Belge Tipi: Makale

Yayın Tarihi: 3/2025

Belge Dili: Türkçe

Document ID (Org No.): 2001342888

pISSN: 2148-0737

Sayı

Yazarlar:

Nuri Çeliker | Sergen Gürsoy

Yayıncı:

Sakarya University

Ana Başlıklar:

İşletme | İş Sistemleri (Diğer)

Dergi:

İşletme Bilimi Dergisi Vol.13 Issue 1, pp.97-120

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001342888

pISSN:

2148-0737