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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 (Dept. of Fashion Design, Kyungpook National University/Center for Beautiful Aging)
  • 박현희 (경북대학교 패션디자인 전공/장수생활과학연구소)
  • Received : 2021.06.08
  • Accepted : 2021.06.28
  • Published : 2021.06.30

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 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.

Keywords

Acknowledgement

이 논문은 2020년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임(NRF-2020S1A5B5A16082586).

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