YAPAY ZEKÂ VE TÜKETİCİ DAVRANIŞI ALANINDAKİ YAYINLARIN BİBLİYOMETRİK ANALİZİ

Öz

Bu çalışma, yapay zekâ (YZ) ve tüketici davranışı alanındaki akademik yayınları bibliyometrik analiz yöntemiyle incelemektedir. Web of Science veri tabanında “AI” AND “Consumer” anahtar kelimeleri kullanılarak gerçekleştirilen tarama, 1991–2025 yılları arasındaki yayınları kapsamış ve akademik makaleler, bildiriler, derlemeler, editoryal yazılar, kitap bölümleri, kitap, mektup vb. yayınlar analiz kapsamına dâhil edilmiştir. Toplam 1980 yayın, VOSviewer yazılımı aracılığıyla ortak atıf analizi, yazar iş birliği ağları, anahtar kelime eşleşmeleri ve akademik kümelenmeler gibi kriterler açısından değerlendirilmiştir. Bulgular, 2020 yılından itibaren yayın sayısında belirgin bir artış olduğunu göstermektedir. Çalışmalarda en çok ele alınan konuların müşteri memnuniyeti, insan-robot etkileşimi, veri gizliliği, tüketici güveni ve teknoloji kabulü olduğu görülmektedir. Analiz sonuçları, ABD, Çin, İngiltere ve Hindistan gibi ülkelerin akademik üretimde öne çıktığını göstermektedir. Sean Sands, Stefano Puntoni ve Yuanyuan Cui gibi araştırmacılar en fazla yayına sahip isimler arasında yer almaktadır. Bu çalışma, YZ ve tüketici davranışı alanındaki bilimsel etkileşimleri görselleştirerek akademik eğilimleri anlamayı amaçlamakta ve gelecek araştırmalar için yönlendirici bir çerçeve sunmaktadır.

Anahtar Kelimeler

• Yapay Zekâ
• Tüketici Davranışı
• Bibliyometrik Analiz
• VOSviewer.

BIBLIOMETRIC ANALYSIS OF PUBLICATIONS IN THE FIELD OF ARTIFICIAL INTELLIGENCE AND CONSUMER BEHAVIOR

Öz

This study examines academic publications in the field of artificial intelligence (AI) and consumer behavior using bibliometric analysis. A search conducted in the Web of Science database using the keywords “AI” AND “Consumer,” covered publications from 1991 to 2025. The dataset includes academic articles, conference papers, reviews, editorials, book chapters, books, letters, and similar types of publications. A total of 1,980 records were analyzed using the VOSviewer software based criteria such as co-citation analysis, author collaboration networks, keyword co-occurrence mapping, and academic clustering. The findings indicate a significant increase in publication volume beginning in 2020. The most frequently addressed topics in the literature include customer satisfaction, human-robot interaction, data privacy, consumer trust, and technology acceptance. The analysis also reveals that countries such as the United States, China, the United Kingdom, and India are the most prominent in terms of academic output. Researchers such as Sean Sands, Stefano Puntoni, and Yuanyuan Cui are among the most prolific authors. This study aims to visualize the scientific interactions in the field of AI and consumer behavior domain, offering a deeper understanding of academic trends and providing a guiding framework for future research.

Anahtar Kelimeler

• Artificial Intelligence
• Consumer Behavior
• Bibliometric Analysis
• VOSviewer.

Kaynakça

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