Bibliometric Analysis with Vosviewer on Human Resources Analytics

İsmail Karakulle

Makale detayları

Bibliometric Analysis with Vosviewer on Human Resources Analytics

Yazarlar:

İsmail Karakulle

Yayıncı:

Sakarya University

Ana Başlıklar:

Politika ve Yönetim (Diğer) | İşletme

Dergi:

İşletme Bilimi Dergisi Vol.12 Issue 3, pp.215-231

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001331142

pISSN:

2148-0737

Anahtar kelimeler:

Özet:

 Today, increased competition and environmental changes necessitate organizations to develop new human resource practices strategies. With the transition from traditional human resources management to strategic human resources, the roles and responsibilities of organizations in human resources management are changing. This situation increases the importance of human resource analytics and brings data-based decision-making processes to the forefront. Human resource analytics HRA helps organizations to make data-driven decisions, improve performance, and achieve strategic goals. The aim of this study is to determine how and what the trends in human resource analytics are in the literature and to provide data to researchers on how it will progress in the future. In addition, another important aim of the study is to determine which countries focus more on the subject and which authors and institutions are the most cited. As a result of the data obtained from the WoS database, the year with the most publications on HRA is 2022 274 studies, the type of publication is article 1382, and the type of index is SCI-Exp. 727, the author with the most publications is Ivo D. Dinov 15, the most cited authors are Christopher C. Benz, Andrew Cherniack, Katherine A. Hoadley, the country with the most publications and citations is USA, the institution with the most citations is New York University 2049 citations, the institution with the most publications is Purdue University 6 publications, the most used keywords are human resource analytics, big data, and human resource management, the study with the most bibliographic matches is Liu 2018, the most co-cited source is the international journal of human resource management.

 Today, increased competition and environmental changes necessitate organizations to develop new human resource practices strategies. With the transition from traditional human resources management to strategic human resources, the roles and responsibilities of organizations in human resources management are changing. This situation increases the importance of human resource analytics and brings data-based decision-making processes to the forefront. Human resource analytics HRA helps organizations to make data-driven decisions, improve performance, and achieve strategic goals. The aim of this study is to determine how and what the trends in human resource analytics are in the literature and to provide data to researchers on how it will progress in the future. In addition, another important aim of the study is to determine which countries focus more on the subject and which authors and institutions are the most cited. As a result of the data obtained from the WoS database, the year with the most publications on HRA is 2022 274 studies, the type of publication is article 1382, and the type of index is SCI-Exp. 727, the author with the most publications is Ivo D. Dinov 15, the most cited authors are Christopher C. Benz, Andrew Cherniack, Katherine A. Hoadley, the country with the most publications and citations is USA, the institution with the most citations is New York University 2049 citations, the institution with the most publications is Purdue University 6 publications, the most used keywords are human resource analytics, big data, and human resource management, the study with the most bibliographic matches is Liu 2018, the most co-cited source is the international journal of human resource management.

 Today, increased competition and environmental changes necessitate organizations to develop new human resource practices strategies. With the transition from traditional human resources management to strategic human resources, the roles and responsibilities of organizations in human resources management are changing. This situation increases the importance of human resource analytics and brings data-based decision-making processes to the forefront. Human resource analytics HRA helps organizations to make data-driven decisions, improve performance, and achieve strategic goals. The aim of this study is to determine how and what the trends in human resource analytics are in the literature and to provide data to researchers on how it will progress in the future. In addition, another important aim of the study is to determine which countries focus more on the subject and which authors and institutions are the most cited. As a result of the data obtained from the WoS database, the year with the most publications on HRA is 2022 274 studies, the type of publication is article 1382, and the type of index is SCI-Exp. 727, the author with the most publications is Ivo D. Dinov 15, the most cited authors are Christopher C. Benz, Andrew Cherniack, Katherine A. Hoadley, the country with the most publications and citations is USA, the institution with the most citations is New York University 2049 citations, the institution with the most publications is Purdue University 6 publications, the most used keywords are human resource analytics, big data, and human resource management, the study with the most bibliographic matches is Liu 2018, the most co-cited source is the international journal of human resource management.

 Günümüzde rekabetin artması ve çevresel değişiklikler, örgütlerin insan kaynakları uygulamalarında yeni stratejiler geliştirmesini zorunlu kılmaktadır. Geleneksel insan kaynakları yönetiminden stratejik insan kaynaklarına geçişle birlikte, örgütlerin insan kaynakları yönetimindeki rol ve sorumlulukları değişmektedir. Bu durum, insan kaynakları analitiğinin önemini artırmakta ve veri bazlı karar alma süreçlerini ön plana çıkarmaktadır. İnsan kaynakları analitiği İKA, örgütlerin veriye dayalı kararlar almasına, performansı artırmasına ve stratejik hedeflere ulaşmasına yardımcı olmaktadır. Çalışmanın amacı alan yazında insan kaynakları analitiğine olan eğilimlerin nasıl ve ne şekilde olduğunu belirleyerek, gelecekte nasıl ilerleyeceği konusunda alan araştırmacılarına veri sağlamaktır. Ayrıca konuyla ilgili olarak hangi ülkelerin konuya daha fazla ağırlık verdiği, en fazla atıf alan yazarların ve kurumların hangileri olduğunu belirlemek araştırmanın diğer önemli amacını oluşturmaktadır. Web of Science WoS veri tabanından alınan veriler sonucunda; İKA ile ilgili en fazla yayın yapılan yıl 2022 274 çalışma, en fazla yapılan yayın türü makale 1382, en fazla yayın yapılan indeks türü SCI-Exp. 727, en fazla yayın yapan yazar Ivo D. Dinov 15, en fazla atıf alan yazarlar Christopher C. Benz, Andrew Cherniack, Katherine A. Hoadley, en fazla yayın yapan ve atıf alan ülke ABD, en fazla atıf alan kurum New York Üniversitesi 2049 atıf, en fazla yayın yapan kurum Purdue Üniversitesi 6 yayın, en fazla kullanılan anahtar sözcükler insan kaynakları analitiği, büyük veri ve insan kaynakları yönetimi, en çok bibliyografik eşleşmesi olan çalışma Liu 2018, en çok ortak atıf alan kaynak the international journal of human resource management olduğu belirlenmiştir.

Makale detayları

Bibliometric Analysis with Vosviewer on Human Resources Analytics

Yazarlar:

İsmail Karakulle

Yayıncı:

Sakarya University

Ana Başlıklar:

Politika ve Yönetim (Diğer) | İşletme

Dergi:

İşletme Bilimi Dergisi Vol.12 Issue 3, pp.215-231

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001331142

pISSN:

2148-0737

Human Resource Analytics

Big Data

Human Resource Management

Bibliometric Analysisİnsan Kaynakları Analitiği

Büyük Veri

İnsan Kaynakları Yönetimi

Bibliyometrik Analiz

Sayı

Makale detayları

Yazarlar: İsmail Karakulle

Yayıncı: Sakarya University

Ana Başlıklar: Politika ve Yönetim (Diğer) | İşletme

Dergi: İşletme Bilimi Dergisi Vol.12 Issue 3, pp.215-231

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001331142

pISSN: 2148-0737

Sayı

Yazarlar:

İsmail Karakulle

Yayıncı:

Sakarya University

Ana Başlıklar:

Politika ve Yönetim (Diğer) | İşletme

Dergi:

İşletme Bilimi Dergisi Vol.12 Issue 3, pp.215-231

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001331142

pISSN:

2148-0737