Consumer Behavior

A Study on User Perception of Resale Platforms Using Structural Topic Modeling(STM)

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Abstract

The study utilizes Structural Topic Modeling(STM) to analyze 5,425 online reviews on Korean resale platforms, focusing on topics, sentiment, temporal trends, and topic correlations. Topics include "Inspection System,", "Automatic Login Issues," and "Seller's Opinions about Penalty." Positive sentiments relate to trust in product authenticity, while negative sentiments involves login issues and seller penalties. Time Seres analysis reveals declining membership and login concerns but increasing trends in inspection systems and transaction fees. Topic correlations form three clusters: platform development/UX&UI, platform management policies, and raffle entries/suggestions for improvement. Implications includes addressing diverse user needs and quality control for global resale platforms and fashion brands entering the Korean market.

Keywords: resale, platforms, korean consumers, online review data, STM

How to Cite:

shin, j., Chung, J. & Park, y., (2024) “A Study on User Perception of Resale Platforms Using Structural Topic Modeling(STM)”, International Textile and Apparel Association Annual Conference Proceedings 80(1). doi: https://doi.org/10.31274/itaa.17357