International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Design of Evaluation Index System for Information Experience based on B2C e-Commerce Bigdata and Artificial Intelligence

  • KANG, Jangmook (Department of Artificial Intelligence Convergence, Global Cyber University) ;
  • HU, Haibo (Department of Information Management, Wonkwang University) ;
  • CHEN, Yinghui (School of Economics and Management, JiuJiang University) ;
  • LEE, Sangwon (Department of Computer & Software Engineering, Wonkwang University)
  • Received : 2019.09.04
  • Accepted : 2019.09.14
  • Published : 2019.12.31
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Abstract

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.

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References

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