Earticle

From Traditional to AI-Driven E-Commerce : A Cross-Country Study Based on the EKB Model

  • 간행물
    한국경영정보학회 정기 학술대회 바로가기
  • 권호(발행년)
    2025 경영정보관련 학회 춘계통합학술대회 (2025.05) 바로가기
  • 페이지
    pp.722-725
  • 저자
    Paul Aniruddha, Sundong Kwon
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A472707

원문정보

초록

영어
The appearance of Generative Artificial Intelligence (GAI) technologies is revolutionising global e-commerce. Redefining how consumers engage with online shopping platforms is reshaping e-commerce by influencing consumer behaviour across all decision-making stages. This research-in-progress applies EKB model and SEM to examine how AI-driven influences key consumer decision factors—namely Price of Product, Quality of Product, Services, Perceived Risk and Information Search—across five major markets: Japan, Korea, China, India, USA. By comparing traditional e-commerce models (with/without AI/ML) against (non-conversational/conversational) GAI platforms, the research provides nuanced insights into AI's impact at each stage of the consumer decision-making journey. Giving particular attention to the purchase decision stage, AI’s role in dynamically supporting consumer choices is critically assessed. Survey data are yet to be gathered and analysed to test the proposed model, offering new theoretical, practical implications for AI’s interactive capabilities will be hypothesised to alter consumer outcomes across culturally diverse settings.

목차

Abstract
Introduction
Research Background
Objectives
Research Model
Tables
Figures
Future Works
References

저자

  • Paul Aniruddha [ Course in Ph.D. Dept. MIS, Chungbuk National University, Cheongju, Korea ] 1st Author
  • Sundong Kwon [ Professor, Dept. MIS, Chungbuk National University, Cheongju, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국경영정보학회 정기 학술대회 [KMIS Conference]
    • 간기
      반년간
    • 수록기간
      1990~2025
    • 십진분류
      KDC 325 DDC 658