Scholarlink

We quantitatively investigate and compare the design characteristics of Japanese and Chinese e-commerce (EC) sites and develop a design tool that reflects these characteristics for cross-border EC sites. When Japanese and Chinese EC companies build websites targeting users in their respective countries, matching the design to the customs and preferences of the other country may lead to the natural acceptance of the site and facilitate business expansion. The effectiveness of the tool was confirmed by evaluating its usability and the acceptability of the site design by users in the other country, with five people from each country creating the site and 11 people from each country evaluating it. In addition, we attempt to automatically interconvert product images by considering the characteristics of each country using CycleGAN, a type of generative AI. Cross-border EC is expected to expand further, and tools such as those described in this study have the potential to contribute to its development.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Design Support Tool Based on the Analysis of Differences Between Japanese and Chinese E-commerce Sites

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Xiaojiao Zou,
  • Tomonari Kamba

摘要

We quantitatively investigate and compare the design characteristics of Japanese and Chinese e-commerce (EC) sites and develop a design tool that reflects these characteristics for cross-border EC sites. When Japanese and Chinese EC companies build websites targeting users in their respective countries, matching the design to the customs and preferences of the other country may lead to the natural acceptance of the site and facilitate business expansion. The effectiveness of the tool was confirmed by evaluating its usability and the acceptability of the site design by users in the other country, with five people from each country creating the site and 11 people from each country evaluating it. In addition, we attempt to automatically interconvert product images by considering the characteristics of each country using CycleGAN, a type of generative AI. Cross-border EC is expected to expand further, and tools such as those described in this study have the potential to contribute to its development.