A Bibliometric Analysis of Artificial Intelligence and Green Information Technologies: Evaluating Future Research Trends

Abstract

Artificial intelligence (AI) has become one of the most transformative technologies of recent years. By leveraging AI, businesses can enhance their environmental interaction, perform advanced analytics, and make sustainable and equitable decisions. At this point, AI is also recognized as a key driver in the advancement of green information technologies (Green IT). Green IT focuses on enabling organizations to increase productivity and efficiency while minimizing environmental impact. This study aims to identify the key research trends at the intersection of AI and Green IT and to conduct a systematic bibliometric analysis of the existing literature. Based on 246 articles retrieved from the Web of Science database (2010–2025), the study examines the most productive countries, influential journals, and thematic clusters to provide a strategic overview for future research. It was observed that AI significantly contributes to strategies such as energy efficiency, smart grid development, and climate crisis mitigation. Notably, this paper also highlights how the synergy between AI and Green IT can lay the foundation for energy-efficient and sustainable metaverse infrastructures, where immersive technologies and intelligent systems demand green and scalable computing solutions. As one of the few bibliometric studies on this emerging convergence, the paper offers strategic insights for both academia and industry to promote environmentally responsible AI-driven digital ecosystems.

Keywords

• Artificial Intelligence
• Green Information Technologies
• Green Computing
• Digital Transformation

Yapay Zekâ ve Yeşil Bilgi Teknolojilerinin Bibliyometrik Analizi: Gelecekteki Araştırma Trendlerinin Değerlendirilmesi

Abstract

Yapay zekâ (YZ), son yılların en dönüştürücü teknolojilerinden biri haline gelmiştir. İşletmeler YZ'den yararlanarak çevresel etkileşimlerini artırabilir, gelişmiş analizler gerçekleştirebilir ve sürdürülebilir ve adil kararlar alabilirler. Bu noktada, YZ aynı zamanda yeşil bilgi teknolojilerinin (Yeşil BT) ilerlemesinde önemli bir itici güç olarak kabul edilmektedir. Yeşil BT, kuruluşların çevresel etkiyi en aza indirirken üretkenliği ve verimliliği artırmalarını sağlamaya odaklanır. Bu çalışma, YZ ve Yeşil BT'nin kesişimindeki temel araştırma eğilimlerini belirlemeyi ve mevcut literatürün sistematik bir bibliyometrik analizini yürütmeyi amaçlamaktadır. Web of Science veri tabanından (2010-2025) alınan 246 makaleye dayanan çalışma, gelecekteki araştırmalar için stratejik bir genel bakış sağlamak amacıyla en üretken ülkeleri, etkili dergileri ve tematik kümeleri incelemektedir. YZ'nin enerji verimliliği, akıllı şebeke geliştirme ve iklim krizi hafifletme gibi stratejilere önemli ölçüde katkıda bulunduğu gözlemlenmiştir. Özellikle bu makale, yapay zeka ve yeşil bilişim teknolojileri arasındaki sinerjinin, sürükleyici teknolojilerin ve akıllı sistemlerin yeşil ve ölçeklenebilir bilişim çözümleri gerektirdiği, enerji açısından verimli ve sürdürülebilir meta veri tabanı altyapılarının temelini nasıl oluşturabileceğini de vurgulamaktadır. Bu yeni ortaya çıkan yakınsama üzerine yapılmış birkaç bibliyometrik çalışmadan biri olan makale, hem akademiye hem de endüstriye, çevre dostu yapay zeka destekli dijital ekosistemleri teşvik etmek için stratejik içgörüler sunmaktadır.

Keywords

• Yapay Zeka
• Yeşil Bilişim Teknolojileri
• Yeşil Bilişim
• Dijital Dönüşüm

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