Journal of Information Technology Applications and Management

Korea Data Strategy Society (한국데이터전략학회)
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Analysis of User Reviews of Electric Kickboard Sharing Service Using Topic Modeling

토픽 모델링을 활용한 전동킥보드 공유 서비스의 사용자 리뷰 분석

  • Received : 2024.01.12
  • Accepted : 2024.02.28
  • Published : 2024.02.29
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Abstract

This study conducts topic modeling analysis on four electric scooter sharing platforms: Alpaca, SingSing, Kickgoing, and Beam. Using user review data, the study aims to identify key topics and issues associated with each platform, as well as uncover common themes across platforms. The analysis reveals that users primarily express concerns and preferences related to application usability, service mobility, and parking/accessibility. Additionally, each platform exhibits unique characteristics and challenges. Alpaca users generally appreciate convenience and enjoyment but express concerns about safety and service areas. SingSing faces issues with application functionality, while Kickgoing users encounter connectivity problems and device usability issues. Beam receives overall positive feedback, but users express dissatisfaction with application usability and parking. Based on these findings, scooter sharing service providers should focus on enhancing application features, stability, and expanding service coverage to meet user expectations and improve customer satisfaction. Furthermore, highlighting platform-specific strengths and providing tailored services can enhance competitiveness and foster continuous service growth and development.

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