Araştırma Makalesi

BIBLIOMETRIC ANALYSIS ON ARTIFICIAL INTELLIGENCE AND E-COMMERCE WITH VOSVIEWER

Cilt: 4 Sayı: 2 31 Aralık 2024
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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

Kaynakça

  1. Adam, M., Wessel, M., & Benlian, A. (2021). AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, 31(2), 427-445.
  2. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.
  3. Bandara, R., Fernando, M., & Akter, S. (2020). Privacy concerns in E-commerce: A taxonomy and a future research agenda. Electronic Markets, 30(3), 629-647.
  4. Bawack, R. E., Wamba, S. F., Carillo, K. D. A., & Akter, S. (2022). Artificial intelligence in E-Commerce: a bibliometric study and literature review. Electronic Markets, 32(1), 297-338.
  5. Baczkiewicz, A., Kizielewicz, B., Shekhovtsov, A., Watrobski, J., & Salabun, W. (2021). Methodical aspects of MCDM based E-commerce recommender system. Journal of Theoretical and Applied Electronic Commerce Research, 16(6), 2192-2229.
  6. Brill, T. M., Munoz, L., & Miller, R. J. (2022). Siri, Alexa, and other digital assistants: a study of customer satisfaction with artificial intelligence applications. In The Role of Smart Technologies in Decision Making. Routledge.
  7. Callon, M., Courtial, J. P., Turner, W. A., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191-235.
  8. Chae, B., & Goh, G. (2020). Digital entrepreneurs in artificial intelligence and data analytics: Who are they?. Journal of Open Innovation: Technology, Market, and Complexity, 6(3), 56.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Finans

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

31 Aralık 2024

Gönderilme Tarihi

26 Eylül 2024

Kabul Tarihi

29 Kasım 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 4 Sayı: 2

Kaynak Göster

APA
Koç, H. (2024). BIBLIOMETRIC ANALYSIS ON ARTIFICIAL INTELLIGENCE AND E-COMMERCE WITH VOSVIEWER. İşletme Bilimi ve Uygulamaları Dergisi, 4(2), 25-48. https://izlik.org/JA55YK93LX

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