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학술논문The International Journal of Advanced Smart Convergence2019.12 발행KCI 피인용 3

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

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

강장묵(남서울대학교); Haibo HU(Department of Information Management, Wonkwang University); Yinghui CHEN(JiuJiang University, China); 이상원(원광대학교)

8권 4호, 1~8쪽

초록

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.

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.

발행기관:
국제인공지능학회
DOI:
http://dx.doi.org/10.7236/IJASC.2019.8.4.1
분류:
정보통신시스템및응용

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Design of Evaluation Index System for Information Experience based on B2C e- Commerce Bigdata and Artificial Intelligence | The International Journal of Advanced Smart Convergence 2019 | AskLaw | 애스크로 AI