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
| Translated title of the contribution | Analysis of Success Factors for Mobile Commerce using Text Mining and PLS Regression |
|---|---|
| Original language | Korean |
| Pages (from-to) | 127-134 |
| Number of pages | 8 |
| Journal | 한국컴퓨터정보학회논문지 |
| Volume | 21 |
| Issue number | 11 |
| State | Published - Nov 2016 |