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http://dx.doi.org/10.7838/jsebs.2018.23.4.041

A Study on Customer Satisfaction of Mobile Shopping Apps Using Topic Analysis of User Reviews  

Kim, Kwang-Kook (Koscom)
Kim, Yong-Hwan (Gow IT)
Kim, Ja-Hee (Graduate School of Public Policy and Information Technology, SeoulTech)
Publication Information
The Journal of Society for e-Business Studies / v.23, no.4, 2018 , pp. 41-62 More about this Journal
Abstract
Despite the rapid growth of the mobile shopping market, major market participants are continuing to suffer operating losses due to severe competition. To solve this problem, the mobile shopping market requires research to improve customer satisfaction and customer loyalty rather than excessive competition. However, the existing studies have limits to reflect the direct needs of customers because they extract the factors on the basis of the Technology Acceptance Model and the literature study. In this study, to reflect the direct requirements of users of mobile shopping Apps, we derived concretely and various factors influencing customer satisfaction through a topic analysis using user reviews. And then we assessed the importance of derived factors to customer satisfaction and analyzed the effects of customer satisfaction on customer complaints and customer loyalty on a structural equation model based on the American customer satisfaction index. We expect that our framework linking a topic analysis and a structural equation model is to be applicable to studies on the customer satisfaction of other mobile services.
Keywords
Review Data; Text Mining; Topic Analysis; Topic Modeling; SEM; Mobile Shopping Apps; Customer Satisfaction;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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