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Journals / Uluslararası Yönetim Bilişim Sistemleri ve Bilgisayar Bilimleri Dergisi / 2025 / Cilt: 9 Sayı: 2

Artificial Intelligence Trends in Management Science: A Content Analysis Approach

Yönetim Biliminde Yapay Zekâ Eğilimleri: Bir İçerik Analizi Yaklaşımı

Havva Değirmenci Tarakcı(HİTİT ÜNİVERSİTESİ)0000-0003-4149-0651
Pages
95–107
Publication Date
2025-12-31
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings indicate that Türkiye remains in the top 1% of AI research across all stages.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study examines the relationship between artificial intelligence (AI) and management science by conducting a content analysis of publications on AI in the management literature and identifying Türkiye's position in this field.
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Key Findings & Data:A five-stage filtering process was used to examine publications published between 2019 and 2024 in the Web of Science (WoS) database, and only 37 publications were identified as Türkiye-based.
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Conclusion & Impact:The findings indicate that Türkiye remains in the top 1% of AI research across all stages.
🔬Design:Modeling & Simulation
📍Scope:2019 Verileri
⚙️Variables:Yapay zeka · İçerik analizi · Yönetim

Abstract

This study examines the relationship between artificial intelligence (AI) and management science by conducting a content analysis of publications on AI in the management literature and identifying Türkiye's position in this field. A five-stage filtering process was used to examine publications published between 2019 and 2024 in the Web of Science (WoS) database, and only 37 publications were identified as Türkiye-based. The findings indicate that Türkiye remains in the top 1% of AI research across all stages. This demonstrates that Türkiye is still at the beginning of the intersection of AI and management and has not yet established a comprehensive theoretical framework. The vast majority of publications are included in the SSCI index, and prominent topics include technical areas such as artificial intelligence, machine learning, design, and manufacturing. Furthermore, it was observed that, in terms of sustainability goals, publications are mostly focused on education and innovation. These findings demonstrate that research diversity in this field in Türkiye is limited and that original studies are needed at a strategic level. In these respects, the study is one of the rare studies that comprehensively analyzes Türkiye's academic position in the field of AI and management and provides an important basis for future academic policy, research and practice.

Özet

Bu çalışma, yapay zekâ (YZ) ve yönetim bilimi arasındaki ilişkiyi ele alarak, yönetim literatüründe YZ konulu yayınların içerik analizini gerçekleştirmeyi ve Türkiye’nin bu alandaki konumunu ortaya koymayı amaçlamaktadır. Web of Science veri tabanında 2019–2024 yılları arasında yayımlanan yayınlar beş aşamalı bir filtreleme süreciyle incelenmiş ve yalnızca 37 yayının Türkiye merkezli olduğu tespit edilmiştir. Elde edilen bulgular, Türkiye’nin yapay zekâ araştırmalarında tüm aşamalarda %1’lik dilimde kaldığını göstermektedir. Bu durum, Türkiye’nin YZ ve yönetim kesişiminde hâlen başlangıç aşamasında olduğunu ve kapsamlı bir kuramsal çerçeve oluşturamadığını ortaya koymaktadır. Yayınların büyük çoğunluğu SSCI indeksinde yer almakta olup, öne çıkan konular arasında yapay zekâ, makine öğrenmesi, tasarım ve üretim gibi teknik alanlar bulunmaktadır. Ayrıca, sürdürülebilirlik hedefleri açısından yayınların çoğunlukla eğitim ve yenilik odaklı olduğu görülmüştür. Bu bulgular, Türkiye’de bu alandaki araştırma çeşitliliğinin sınırlı olduğunu ve stratejik düzeyde özgün çalışmalar yapılması gerektiğini göstermektedir. Bu yönleriyle çalışma, Türkiye’nin YZ ve yönetim alanındaki akademik konumunu kapsamlı biçimde analiz eden nadir araştırmalardandır ve gelecekteki akademik politika, araştırma ve uygulamalar için önemli bir zemin sunmaktadır.

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Cite This Article

Tarakcı, H. D. (2025). Artificial Intelligence Trends in Management Science: A Content Analysis Approach. Uluslararası Yönetim Bilişim Sistemleri ve Bilgisayar Bilimleri Dergisi, Cilt: 9 Sayı: 2, 95–107. https://doi.org/10.33461/uybisbbd.1696406

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