Yapay Zeka ve E-ticaret Üzerine VOSviewer ile Bibliyometrik İncelemeler

Abstract

Son yıllarda, Yapay Zekâ (YZ) ve e-ticaret teknolojilerinin hızlı gelişimi, iş uygulamaları ve tüketici davranışlarında önemli değişimlere yol açmıştır. Bu çalışma, "Yapay Zekâ ve E-ticaret" konusundaki araştırmaların bibliyometrik bir analizini sunarak, alana kapsamlı bir bakış açısı kazandırmayı amaçlamaktadır. Analiz kapsamında ortak yazar ve yazar atıf analizleri, belge ve ülke atıf analizleri, kurum atıf analizleri ve anahtar kelime analizleri yer almaktadır. Çalışma, Web of Science veri tabanındaki İşletme, Yönetim, Ekonomi ve İşletme Finansı gibi alanlara odaklanmaktadır. 18 Mayıs 2024 itibarıyla, 2002-2024 yılları arasında yayımlanmış toplam 216 yayın incelenmiştir. Bu yayınların %33,79'u Çin, %18,27'si ABD, %11,42'si Hindistan, %5,94'ü Birleşik Krallık ve %5,48'i Almanya kaynaklıdır. Bu ülkelerden gelen yayınların ön planda olması, Çin’in ekonomik büyümesine, ABD’nin teknolojik altyapısına ve Hindistan’ın yazılım ve bilişim teknolojilerindeki liderliğine bağlanmaktadır. Benzer şekilde, Birleşik Krallık ve Almanya, teknolojiye yaptıkları yatırımlar ve rekabetçi ekonomik yapılarıyla öne çıkmaktadır. Bu çalışma, "Yapay Zekâ ve E-ticaret" alanındaki yayınların henüz sınırlı olduğunu, bunun da büyük ölçüde alanın yeni bir araştırma konusu olmasından kaynaklandığını göstermektedir. İnternetin yayılmasıyla birlikte e-ticaret hızla genişlemiş olmasına rağmen, bu alanda YZ uygulamaları görece yenidir. Araştırma, mevcut literatürü sistematik bir şekilde özetleyerek temel eğilimleri ortaya koymaktadır. Bu makale, konuya dair kapsamlı bir analiz sunmakta ve gelecekteki araştırmalara rehberlik edecek önemli bulgular sağlamaktadır.

Keywords

• Uluslararası Ticaret
• Yapay Zeka
• E-ticaret
• Bibliyometrik Analiz
• Web of Science

BIBLIOMETRIC ANALYSIS ON ARTIFICIAL INTELLIGENCE AND E-COMMERCE WITH VOSVIEWER

Abstract

In recent years, the rapid development of Artificial Intelligence (AI) and e-commerce technologies has brought significant changes to business practices and consumer behavior. This study provides a bibliometric analysis of research on "Artificial Intelligence and E-commerce," offering a comprehensive overview of the field. The analysis includes co-author and author citation analysis, document and country citation analysis, institution citation analysis, and keyword analysis. The study focuses on areas like Business, Management, Economics, and Business Finance within the Web of Science database. As of May 18, 2024, 216 publications from 2002 to 2024 were analyzed. Of these, 33.79% originated from China, 18.27% from the USA, 11.42% from India, 5.94% from the UK, and 5.48% from Germany. The prominence of publications from these countries is linked to China’s economic growth, the USA’s technological infrastructure, and India’s role in software and IT, while the UK and Germany stand out due to their investments in technology and competitive economies. This study shows that publications on "Artificial Intelligence and E-commerce" are still limited, mainly due to the field’s emerging nature. While e-commerce has expanded with the internet, AI applications in this domain are relatively new. This research systematically summarizes existing literature and highlights key trends. The article offers a thorough analysis, contributing valuable insights for future research.

Keywords

• International Trade
• Artificial Intelligence
• E-commerce
• Bibliometric Analysis
• Web of Science

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