• Journal of Information Technology Services
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• v.14 no.1
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• pp.69-83
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• 2015

The e-commerce market has been more diversified via B2B or P2P, and the size of this market has gradually been expanded as well. A noteworthy phenomenon is the P2P market, which has shown a rapid, approximately 200-fold or more increase in size since 2005. Specifically, the online secondhand-goods market that makes transaction easier and more convenient has attained a fast growth as well, but either sellers or buyers of secondhand goods are properly protected due to a lack of legal regulations on secondhand-goods transaction. The purpose of this study was to examine problems with online secondhand-goods transaction and to suggest some reform measures. There is something wrong with the legal status of brokers for secondhand-goods sales. According to the current law, individual brokers are neither mail-order sellers nor mail-order brokers. So they don't have lots of liabilities, and it means that the burden of risk is all imposed on buyers. Therefore it's suggested that individual brokers should be defined as 'involved operator of electronic commerce' so that proper liability might be imposed on them.

• 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.

• 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.

• The Journal of Society for e-Business Studies
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• v.27 no.1
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• pp.29-41
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• 2022

Since the first sale of a banner advertisement in 1995, electronic commerce has become a new transaction channel for consumers. With more than 20 years of its history, electronic commerce has become an important consumption channel for everyone and inexperience is no more a reason that discourages the consumption through this channel. The great expansion of this channel is now a formidable thereat to traditional channels. However, products with high asset specificity and complexity are still having difficulty to be traded over the online channel where the experience of the products for a consumer is limited. Especially, variations of the same product's quality depending on how pre-owners used the product and high complexity to describe the quality of the products prevent used goods from being traded over e-channels. Added to that, the information asymmetry between sellers and buyers for used goods makes the establishment of market transaction difficult. Considering the challenges, the current case study discusses thredUP, a clothing resale platform company. In this paper, we study how the company could overcome those limitations in this toughest resale market through the use of AI for dynamic pricing and standarized product quality ratings. In addition, we also hope to provide readers with the opportunity to understand the secondhand industries and its market, and see where it is heading for in the future.