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논문검색

Design of Evaluation Index System for Information Experience based on B2C e-Commerce Bigdata and Artificial Intelligence

초록

영어

The online retail market continues to grow, especially in China, as e-commerce has developed rapidly in recent years in many countries. Meanwhile, the development and use of new network information technology provides consumers with various contact and experience environments for online shopping. Based on the theory of media weakness, the study began to focus consumer experience on the nature of commercial transactions. The study proposed and designed an initial measure of the consumer information evaluation index, which combines previous findings with implications. Finally, the five-dimensional B2C system was established to evaluate consumers' information experience providing information display, information interaction, information support and information personalization. We researched on evaluation index system for information experience of B2C e-commerce consumers based on samples of Chinese consumers.

목차

Abstract
1. Introduction
2. Related Works
2.1 Definition of e-Commerce
2.2 Core Factors of e-Commerce
2.3 Research Status of Information Experience
3. Selection of Evaluation Indexes
3.1 Question Design of Evaluation Index System
3.2 Initial Measurement Scale of Evaluation Index System
4. Construction of Evaluation Index System
4.1 Reliability Analysis
4.2 Validity Analysis
4.3 Formation of Index System
5. Conclusions
Acknowledgement
References

저자정보

  • Jangmook KANG Department of Artificial Intelligence Convergence, Global Cyber University, Republic of Korea
  • Haibo HU Associate Professor, PhD Program, Department of Information Management, Wonkwang University, Republic of Korea
  • Yinghui CHEN Master Program, School of Economics and Management, JiuJiang University, China
  • Sangwon LEE Associate Professor, Department of Computer & Software Engineering, Wonkwang University, Republic of Korea

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