Mapping the AI Revolution in Global Trade: A Systematic Bibliometric Synthesis of Cross-Border E-Commerce Evolution
Öz
AI is the key force behind the direction in which CBEC evolves. While there is no shortage of algorithmic implementation, the conceptual development behind this connection has proven to be varied. This paper presents a comprehensive bibliometric review of innovations spanning a period of twenty-five years (2000-2025) at the nexus of artificial intelligence and international business. Based on PRISMA principles, the initial set of 181 Scopus papers was narrowed down to form a high-quality collection of 93 papers. Latent intellectual structures were discovered through advanced data visualization based on VOSviewer. As a result, a dense geographical distribution emerges, where China acts as the epicenter of research on AI-based CBEC. Three central topics have emerged, including strategic management, technological infrastructure, and consumer behavior, all supported by big data. Analysis indicates the evolution from simple automation to accuracy-focused predictive governance via the development of AI.
Anahtar Kelimeler
Kaynakça
- Bawack, R. E., Fosso Wamba, S., Carillo, K. D. A., & Akter, S. (2022). Artificial intelligence in E-Commerce: a bibliometric study and literature review. Electronic Markets, 32(1), 297–338.
- Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359–377. Chen, S., Ke, S., Han, S., Gupta, S., & Sivarajah, U. (2024). Which product description phrases affect sales forecasting? An explainable AI framework by integrating WaveNet neural network models with multiple regression. Decision Support Systems, 176, 114065. Deng, X., & Ouyang, Y. (2022). Cross-Border Supply Chain System Constructed by Complex Computer Blockchain for International Cooperation. Computational Intelligence and Neuroscience, 2022(3), 1-10. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296.
- Giuffrida, M., Mangiaracina, R., Perego, A., & Tumino, A. (2017). Cross-border B2C e-commerce to greater China and the role of logistics: A literature review. International Journal of Physical Distribution & Logistics Management, 47(9), 772–795. Guo, C., & Zhang, X. (2022). Research on Intelligent Customization of Cross-Border E-Commerce Based on Deep Learning. Mathematical Problems in Engineering, 2022, 4211616.
- He, P., Wang, T. Y., Shang, Q., Zhang, J., & Xu, H. (2022). Knowledge mapping of e-commerce supply chain management: a bibliometric analysis. Electronic Commerce Research, 22(1), 1-37.
- Kuang, J., Chang, T., & Wang, X. (2022). The impact of the Belt and Road Initiative on the development of China’s cross-border e-commerce. International Journal of Business and Management, 3(1), 6.
- Liu, X., Dou, Z., & Yang, W. (2021). Research on influencing factors of cross border E-commerce supply chain resilience based on integrated fuzzy DEMATEL-ISM. IEEE Access, 9, 36140-36153.
- Marzi, G., Balzano, M., Caputo, A., & Pellegrini, M. M. (2025). Guidelines for Bibliometric-Systematic Literature Reviews: 10 Steps to Combine Analysis, Synthesis and Theory Development. International Journal of Management Reviews, 27(1), 81–103.
- Öz, S., Kaplan, M., (2023). GIG Ekonomisi ve Emek Piyasaları Bibliometrik Analizi, Cumhuriyetin 100. Yılında Türk Emek Piyasasının Güncel Sorunları, Filiz kitabevi, 189-212.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Uluslararası Pazarlama
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
31 Mayıs 2026
Gönderilme Tarihi
8 Nisan 2026
Kabul Tarihi
14 Mayıs 2026
Yayımlandığı Sayı
Yıl 2026 Sayı: 1