Earticle

초록

영어

This study explores consumer motivations and perceived barriers to fashion rental services by analyzing 5,000 App Store reviews of Rent the Runway (RTR). Using a mixed-methods text mining approach—including LDA topic modeling, sentiment analysis with the AFINN lexicon, and time series-network analysis—the study identifies key value drivers such as convenience, variety, and emotional satisfaction, alongside risk factors like hidden fees, garment hygiene, and delivery issues. Six coherent topics reveal themes from premium access to service-related concerns, while sentiment analysis and temporal trends illustrate an emotional trajectory from initial excitement to skepticism and eventual trust recovery. Network visualization further maps shifts in consumer attitudes. Theoretically, this research extends value-risk frameworks by highlighting the joint role of cognitive and emotional appraisals in service adoption. Practically, it offers actionable insights for improving pricing transparency, service quality, and consumer trust. Methodologically, it demonstrates the value of user-generated reviews for capturing authentic consumer experiences beyond traditional survey methods.

목차

Abstract
1. Introduction
2. Literature review
2.1 The experiential, hedonic, and social dimensions of fashion rental consumption
2.2 Perceived Risk Value
3. Method
3.1 Data collection & Data Preprocessing
3.2 Data Analysis
4. Result
4.1 Frequency Analysis and Word Cloud
4.2. Topic Modeling and Sentiment Analysis
4.3 Network Analysis
5. Discussion
6. Conclusion
References

키워드

저자

• Sunnyoung Lee [ Teaching Professor, Department of Business, Dongguk University, Korea ] Corresponding Author
• Jae-Wook Bae [ Undergraduate student Department of Business, Dongguk University, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Internet, Broadcasting and Communication

• 간기

  계간

• pISSN

  2288-4920

• eISSN

  2288-4939

• 수록기간

  2009~2025

• 십진분류

  KDC 326 DDC 380