İnsan Kaynakları Analitiğinin Bibliyometrik Analizi: Web Of Science İncelemesi

Abstract

Bu araştırmada İnsan Kaynakları Analitiği alanının durumu ve gelişimi bibliyometrik inceleme aracılığıyla ortaya konulmuştur. Bu amaca yönelik olarak Web of Science veri tabanında yer alan konuyla ilgili 1996-2023 yılları arasında yayımlanan 192 çalışma derlenerek sayım ve içerik analizlerine tabi tutulmuştur. Alanda en etkili ülkeler Çin, Hindistan ve ABD olurken Türkiye kendisine ilk on arasında yer bulmuştur. İstanbul Teknik Üniversitesinin bu konuda yaptığı katkılar çalışmanın bulguları arasındadır. İçerik analizlerine göre performans kavramı alan için önemini korumaya devam ederken analitik hiyerarşi prosesi ve strateji gibi kavramların ilerleyen dönemlerde daha fazla ön plana çıkması muhtemeldir.

Keywords

• İnsan Kaynakları Analitiği
• Bibliyometri
• WoS

Bibliometric Analysis of Human Resources Analytics: Web of Science Review

Abstract

In this research, the status and development of the Human Resources Analytics field is revealed through bibliometric analysis. For this purpose, 192 studies on the subject published between 1996-2023 in the Web of Science database were compiled and subjected to counting and content analysis. While the most influential countries in the field are China, India and the USA, Turkey has found itself among the top ten. The contributions of Istanbul Technical University in this regard are among the findings of the study. According to content analysis, while the concept of performance continues to maintain its importance for the field, concepts such as analytical hierarchy process and strategy are likely to come to the fore in the future.

Keywords

• Human Resources Analytics
• Bibliometrics
• WoS

References

1. Bassi, L. J., Carpenter, R., & McMurrer, D. (2010). HR Analysis Handbook (pp. 11, 13–14) Amsterdam.
2. Bersin, J., Collins, L., Mallon, D., Moir, J., & Straub, R. (2016). People analytics gaining speed, Deloitte Insights.
3. Cappelli, P. (2017). There’s no such thing as big data in HR. Harvard Business Review, 2, 2-4.
4. Davenport, T. H., & Harris, J. G. (2007). Competing on analytics: The new science of winning. Boston, MA: Harvard Business School Press.
5. Edwards, M. R. (2019). HR metrics and analytics. In M. Thite (Ed.), E-HRM: Digital approaches, Directions and Applications. Routledge.
6. Ellmer, M., & Reichel, A. (2021). Staying close to business: the role of epistemic alignment in rendering HR analytics outputs relevant to decision-makers. The International Journal of Human Resource Management, 32(12), 2622-2642.
7. Fitz-Enz, J., & John Mattox, II. (2014). Predictive analytics for human resources. John Wiley & Sons.
8. GERÇEK, M., & GERÇEK, R. G. (2022). İnsan kaynakları yönetimi çalışmalarının bibliyometrik analizi (2017-2021). Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 15(4), 816-832.

9. Huselid, M. A. (2018). The science and practice of workforce analytics: Introduction to the HRM special issue. Human Resource Management, 57(3), 679-684.
10. Isson, J. P., & Harriott, J. S. (2016). People analytics in the era of big data: Changing the way you attract, acquire, develop, and retain talent. John Wiley & Sons.
11. Kryscynski, D., Reeves, C., Stice‐Lusvardi, R., Ulrich, M., & Russell, G. (2018). Analytical abilities and the performance of HR professionals. Human Resource Management, 57(3), 715-738.
12. KORKMAZ, M., & GÜLTEKİN, Z. (2023). “Yeşil İnsan Kaynakları Yönetimi” Başlıklı Çalışmaların Web Of Science Veri Tabanına Dayalı Bibliyometrik Analizi. Uluslararası Beşeri Bilimler ve Eğitim Dergisi, 9(20), 461-481.
13. Lepenioti, K., Bousdekis, A., Apostolou, D., & Mentzas, G. (2020). Prescriptive analytics: Literature review and research challenges. International Journal of Information Management, 50, 57-70.
14. Marler, J. H., & Boudreau, J. W. (2017). An evidence-based review of HR Analytics. The International Journal of Human Resource Management, 28(1), 3-26.
15. Marler, J. H., & Fisher, S. L. (2013). An evidence-based review of e-HRM and strategic human resource management. Human resource management review, 23(1), 18-36.
16. Van den Heuvel, S., & Bondarouk, T. (2017). The rise (and fall?) of HR analytics: A study into the future application, value, structure, and system support. Journal of Organizational Effectiveness: People and Performance, 4(2), 157-178.