Abstract: Over a decade of rapid growth in short video content has opened increasingly in-depth perspectives on this topic, with increasingly diverse scientific publications exploring different aspects of this phenomenon. Short videos have rapidly transformed the e-commerce landscape, influencing consumer behavior, marketing strategies, and technological advancements. This study used bibliometric analysis to evaluate existing research on short videos in e-commerce and identify key trends, research clusters, and influential publications. Using Scopus (2015-2024) data, co-citation, keyword co-occurrence, and bibliographic matching analyses were conducted. Publication analysis revealed three stages: initial (2015-2018) with limited research, growth (2019-2020) with increased interest, and explosive growth (2021-2024). Keyword co-occurrence analysis highlights interconnected research topics, with "video platforms," "short video," and "social media" forming a central cluster. The cluster indicates a recent focus on the "social context" of short videos in e-commerce. Co-citation analysis identifies key research clusters covering e-commerce and user behavior, user experience, advertising effectiveness of short videos, methodology, and underlying theories. These findings are helpful for researchers seeking to understand short-form video utilization in e-commerce. Insights are required to develop effective marketing strategies, improve user experiences, and capitalize on technological innovation in this rapidly evolving space.

Duy Nguyen Binh Phuong, Tien Ngo Thi My, Thuy Nguyen Binh Phuong, Thi Pham Nguyen Anh and Hung Le Huu, “Bibliometric Analysis of the Evolution and Impact of Short Videos in E-Commerce (2015-2024): New Research Trends in AI” International Journal of Advanced Computer Science and Applications(IJACSA), 16(3), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160346

@article{Phuong2025,
title = {Bibliometric Analysis of the Evolution and Impact of Short Videos in E-Commerce (2015-2024): New Research Trends in AI},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160346},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160346},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {3},
author = {Duy Nguyen Binh Phuong and Tien Ngo Thi My and Thuy Nguyen Binh Phuong and Thi Pham Nguyen Anh and Hung Le Huu}
}