Analysis of Factors Affecting the Operational Efficiency of Cross-Border E-Commerce Platforms Using AIGC
- DOI
- 10.2991/978-94-6463-742-7_32How to use a DOI?
- Keywords
- AIGC; Cross-border e-commerce; Operational efficiency; Influencing factors
- Abstract
With the release of chatGPT by OpenAI on November 30, 2022, the topic of artificial intelligence has once again become a global hotspot. AIGC (Artificial Intelligence Generated Content), as one of the contents of artificial intelligence, has begun to be widely used in all walks of life. As a frontier for the trial of high-tech, the cross-border e-commerce industry has become more closely integrated with AIGC in recent years, and many cross-border companies have invested in the research and development of AIGC functions. The emergence of technologies such as digital humans, AI customer service, and AI website building has enabled more efficient and intelligent trade. In this paper, it took AIGC as the research object, and through distributing questionnaires to cross-border operation workers, explore the factors that affect the use of AIGC on the operational efficiency of cross-border e-commerce platforms, so as to put forward some reasonable suggestions for cross-border e-commerce companies that are using AIGC.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jin Kuang AU - Yiwen Ding AU - Tse-Chen Chang PY - 2025 DA - 2025/05/31 TI - Analysis of Factors Affecting the Operational Efficiency of Cross-Border E-Commerce Platforms Using AIGC BT - Proceedings of the 2025 4th International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2025) PB - Atlantis Press SP - 287 EP - 295 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-742-7_32 DO - 10.2991/978-94-6463-742-7_32 ID - Kuang2025 ER -