• Title/Summary/Keyword: Secondhand Trading

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Analysis of Sales Information of Secondhand Clothing Goods on the C2C Secondhand Trading Platform - Focusing on Content Analysis Using NVivo - (C2C 중고거래 플랫폼에서의 중고의류제품 판매 정보 분석 - NVivo를 활용한 내용 분석을 중심으로 -)

  • Park, Hyun Hee
    • Fashion & Textile Research Journal
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    • v.23 no.3
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    • pp.358-369
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    • 2021
  • This study aims to classify the dimensions of the sales information of secondhand clothing goods on the C2C secondhand trading platform and to systematically analyze the components of each dimension. To this end, the NVivo 12.0 qualitative data analysis software was used. The content analysis showed that the sales information of secondhand clothing goods was classified into four dimensions: detailed information of the sale goods, information specific to secondhand clothing goods, seller opinion information, and service information. The components of each dimension were as follows. The detailed information of the sale goods included size, sale price, item, design, brand name, material, color, wearing season, fit, gender, etc. The information specific to secondhand clothing goods included the number of times the item was worn, its purchase history, and product condition. Seller opinion information included product review, sales motivation, notes for the transaction, coordination proposal, and usage proposal. The service information included the transaction mode, exchange·return·refund, and promotion. The frequency analysis showed that the highest frequencies were sale goods(37.47%), information specific to secondhand clothing goods(24.63%), seller opinion information(20.54%), and service information(17.37%). This study will help C2C secondhand trading platform managers or sellers establish clear standards for presenting sales information and developing ideas toward constructing differentiated platform contents.

A Design and Implementation of Used Books Trading Web Service using an Auction System (경매 방식을 이용한 중고도서 거래 웹 서비스 설계 및 구현)

  • Lee, Jongwoo;Park, Jiyeon;Cho, Sarah;Han, Youjin;Song, Yoojeong
    • Journal of Digital Contents Society
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    • v.18 no.1
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    • pp.9-16
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    • 2017
  • Recently, consumer who has a desire to spend less money want to buy a cheap and good product because of long economy recession. Secondhand trading is regarded as a good method which allows people to buy cheap and good product. Activation of secondhand trading reduces the psychological distance among customers. Especially, in the case of expensive books such as major books, each university has community only for used book trading. However, existing used book community is hard to find current real-time trading state at a look, and it is impossible to purchase reasonably because of a one-way pricing of the seller. In this paper, we design and implement a used book trading web service using an auction system which can help anyone to trade used book easily. It is designed web based system and it provides convenience to user through efficient book registration function and book search function.

Implementation of Secondhand Clothing Trading System with Deep Learning-Based Virtual Fitting Functionality (딥러닝 기반 가상 피팅 기능을 갖는 중고 의류 거래 시스템 구현)

  • Inhwan Jung;Kitae Hwang;Jae-Moon Lee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.1
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    • pp.17-22
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    • 2024
  • This paper introduces the implementation of a secondhand clothing trading system equipped with virtual fitting functionality based on deep learning. The proposed system provides users with the ability to visually try on secondhand clothing items online and assess their fit. To achieve this, it utilizes the Convolutional Neural Network (CNN) algorithm to create virtual representations of users considering their body shape and the design of the clothing. This enables buyers to pre-assess the fit of clothing items online before actually wearing them, thereby aiding in their purchase decisions. Additionally, sellers can present accurate clothing sizes and fits through the system, enhancing customer satisfaction. This paper delves into the CNN model's training process, system implementation, user feedback, and validates the effectiveness of the proposed system through experimental results.

Analysis of the Safety Payment in Second-hand Transactions Using Text Mining (텍스트마이닝을 활용한 중고거래 안전결제 실태분석)

  • Eun-ji Kim;Beom-Soo Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.4
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    • pp.529-536
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    • 2023
  • The secondhand market in Korea has been showing steady growth. However, the number of fraud cases and the amount of damages from fraudulent activities in secondhand transactions are also increasing. As of 2021, the size of the secondhand market reached 24 trillion won, but the total amount of fraud-related damages reached 360.6 billion won. In order to prevent fraud between individuals, secondhand trading platforms have implemented a safety payment system. However, new types of fraud methods exploiting the safety payment system have emerged, undermining the security of secondhand transaction safety payments. In this study, we aim to utilize text mining to examine the current state of the safety payment system in secondhand transactions and propose improvement measures by analyzing the system through text mining and network analysis.

A Comparative Study on User Experience of Secondhand Marketplace Platform -Focusing on Bungae Jangter and Danggeun Market- (중고거래 플랫폼의 사용자 경험 비교 연구 -번개장터와 당근마켓을 중심으로-)

  • Lee, Gyeong-Mi;Ryu, Jin-ju;Kim, Min-jung;Jung, Da-Young
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.423-429
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    • 2022
  • The survey was conducted on the Bungae Jangter and Danggeun Market, which provide mobile used market services. The goal is to investigate factors that affect the user experience of used market platforms and to compare usability. Based on Peter Morville's Honeycomb Model, a survey and In-depth interviews were conducted to users with experience in secondhand transactions. And we qualitatively analyze the factors that affect the user experience. As a result, there were differences in usability depending on the age of the user. (reliability, how to find things, purpose of using used trading services, etc.) This study focused on actual user experience, so it will help you find a way to develop to user-centered secondhand marketplace services.