Earticle

초록

영어

In this study, we conducted a comparative study of Korea, China, and India on the influencing factors of internet shopping repurchase intention through SEM-ANN two-stage analysis, and analyzed changes in predictive performance and variable importance. As a result, through SEM analysis, it was confirmed that the factors influencing repurchase intention in internet shopping are different between Korea, China, and India. It has been proven that the R² of SEM is improved through ANN. And It has been proven that statistical-conclusion-validity was improved through which the size of the path coefficient in SEM remained similar to that of ANN's variable importance analysis.

목차

Abstract
1. Introduction
2. Research Model
3. Research Methodologies
3.1 Analysis Methods
4. Data Analysis
4.1 Reliability and Validity
4.2 SEM and ANN Analysis
4.3 SEM Analysis Results
4.4 ANN Analysis Results
5. Conclusion: Implications and Limitations
References

키워드

저자

• Sundong Kwon [ Professor, Department of MIS, Chungbuk National University ] Corresponding Author
• Paul Aniruddha [ Ph.D Candidate, Department of MIS, Chungbuk National University ] Co-Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005