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Analysis of Success Factors for Mobile Commerce using Text Mining and PLS Regression

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2016, 21(11), pp.127-134
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

김용환 1 Ja-Hee Kim 1 박지훈 2 이승준 1

1서울과학기술대학교
2이수페타시스

Accredited

ABSTRACT

In this paper, we propose factors that influence on the mobile commerce satisfaction conducted by data mining and a PLS regression analysis. We extracted the most frequent words from mobile application reviews in which there are a large number of user’s requests. We employed the content analysis to condense the large number of texts. We took a survey with the categories by which data are condensed and specified as factors that influence on the mobile commerce satisfaction. To avoid multicollinearity, we employed a PLS regression analysis instead of using a multiple regression analysis. Discovered factors that are potential consequences of customer satisfaction from direct requests by customers, the result may be an appropriate indicator for the mobile commerce market to improve its services

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.