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C2C 중고거래 플랫폼에서의 중고의류제품 판매 정보 분석 - NVivo를 활용한 내용 분석을 중심으로 -

Analysis of Sales Information of Secondhand Clothing Goods on the C2C Secondhand Trading Platform - Focusing on Content Analysis Using NVivo -

박현희
한국의류산업학회 (The Society of Fashion and Textile Industry)|2021.06|한국의류산업학회지 (The Korean Fashion and Textile Research Journal)|제23권 제3호|pp. 358-369

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참고문헌

키워드

내용분석content analysisNvivo소비자간중고거래플랫폼중고의류제품판매정보C2C secondhand trading platformssecondhand clothing goodssales information
주제분류생활과학

초록

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 sec- ondhand 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 informa- tion(20.54%), and service information(17.37%). This study will help C2C secondhand trading platform managers or sell- ers establish clear standards for presenting sales information and developing ideas toward constructing differentiated platform contents.

Abstract

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 sec- ondhand 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 informa- tion(20.54%), and service information(17.37%). This study will help C2C secondhand trading platform managers or sell- ers establish clear standards for presenting sales information and developing ideas toward constructing differentiated platform contents.

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