İNSAN KAYNAKLARI YÖNETİMİNDE YAPAY ZEKÂ UYGULAMALARININ BENİMSENMESİNİN T.O.E. MODELİ İLE İNCELENMESİ

Year 2025, Volume: 15 Issue: 30, 678 - 711

Burcu Şefika Doğrul , Aytül Güneşer Demirci , Ercan Gön

https://doi.org/10.53092/duiibfd.1711324

Abstract

Bu çalışma, TOE modeli (Teknoloji-Organizasyon-Çevre) çerçevesini kullanarak, insan kaynakları yöneticilerinin İnsan Kaynakları Yönetiminde (İKY) Yapay Zeka (YZ) uygulamalarını benimseme eğilimlerini incelemektedir. Bu doğrultuda, araştırma verileri çevrimiçi anket yöntemiyle toplanmış ve analiz sürecinde Kısmi En Küçük Kareler Yapısal Eşitlik Modellemesi (PLS-SEM) kullanılmıştır. Araştırma bulguları, İKY'de YZ uygulamalarının teknolojik bağlamda sağladığı maliyet etkinliği ve göreceli avantajların YZ benimsemesini olumlu yönde etkilediğini ortaya koymuştur. Buna karşın, gizlilik ve güvenlik endişeleri ile teknolojik karmaşıklığın benimsemeyi olumsuz yönde etkilediği belirlenmiştir. Organizasyon bağlamında, üst yönetimin sağladığı desteğin ve insan kaynakları departmanının hazır olma durumunun, YZ'nin benimsenmesini pozitif yönde etkilediği tespit edilmiştir. Ancak çevresel bağlamda, rekabetçi baskı ve tedarikçi desteği değişkenlerinin YZ'nin benimsenmesi üzerinde istatistiksel olarak anlamlı bir etkisi olmadığı görülmüştür. Sonuç olarak, bu çalışma İKY’de YZ uygulamalarının örgütsel düzeyde benimsenmesini etkileyen faktörleri ortaya koyarak, insan kaynakları yöneticilerinin YZ adaptasyon süreçlerine ilişkin önemli bulgular sunmaktadır. Türkiye’de YZ uygulamalarının benimsenmesine yönelik faktörlerin belirlenmesi, literatürdeki önemli bir boşluğun doldurulmasına katkı sağlamaktadır.

Keywords

Yapay Zekâ , İnsan Kaynakları Yönetimi , Teknoloji-Organizasyon-Çevre Modeli (TOE)

EXAMINING THE ADAPTATION OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN HUMAN RESOURCES MANAGEMENT WITH THE T.O.E MODEL

Abstract

This study investigates human resource managers’ tendencies to adopt artificial intelligence (AI) applications in human resource management (HRM) by employing the Technology-Organization-Environment (TOE) framework. Accordingly, the research data were collected through an online survey method and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM).The findings reveal that, in the technological context, cost efficiency and relative advantage provided by AI applications in HRM positively influence AI adoption. In contrast, privacy and security concerns and technological complexity exert a negative impact. In the organizational context, top management support and the readiness of the HR department were identified as significant positive factors influencing AI adoption. However, in the environmental context, competitive pressure and supplier support did not affect AI adoption statistically significantly.In conclusion, this study contributes to understanding the factors influencing the adoption of AI applications in HRM at the organizational level, providing valuable insights into HR managers’ adaptation to AI in the Turkish context. The study addresses a significant gap in the literature by identifying the factors affecting AI adoption in HR departments in Turkey.

Keywords

Artificial Intelligence , Human Resource Management , Technology-Organization-Environment Modal

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