• International Journal of Reliability and Applications
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• v.7 no.1
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• pp.71-77
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• 2006

The market for second hand products has been growing for a variety of reasons (e.g., new products appearing at a faster rate and the expected life of products increasing due to rapid advances in technology). The demand for warranties for second-hand products has been growing along with the growth of the market for second-hand products. Warranty for new products (consumer durables, industrial and commercial, and specialized defense products) has received a lot of attention. In contrast, warranties for second-hand product have received very little attention. Often, dealers of second-hand product such as cars offer 2D-warranties (Year and Kilometers). The expected warranty cost associated with a second-hand product for 2D-Policies is a function of the age of the item and its usage (as it affects failures over the warranty period), the warranty terms and the servicing strategy used by the dealer. This paper deals with development of models for warranty cost analysis along with the decision on sale price and warranty cover for 2D-Warranty policies associated with sale of second-hand products.

• Journal of Applied Reliability
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• v.17 no.2
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• pp.159-167
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• 2017

Purpose: The purpose of this research is to study research trend in the field of warranty and maintenance policy of second-hand products. Methods: To this end, we consider research articles, which deal with warranty and maintenance of the second-hand products, published on journals during the past 20 years and classify them by taxonomy scheme proposed by Shafiee and Chukova (2013). The taxonomy scheme consists of three maintenance models in warranty for second-hand product. In each models, we analyze proposed maintenance and warranty policies with respect to types of upgrade models, types of preventive maintenances, decision variables and decision criteria model. Results: We obtain the scheme of maintenance and warranty of the second-hand products and define cost related to warranty and maintenance of the second-hand item. Also, we summarize the characteristics of maintenance and warranty policies in each classified model. Conclusion: There have been several research reviews on maintenance and warranty polity of new products. This research surveys researches of authors during the past 20 years and classifies, summarizes and compares proposed maintenance and warranty policies of the second-hand products. This research provides useful information to researchers who are interested in maintenance and warranty of the second-hand products.

• The Korean Journal of Applied Statistics
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• v.26 no.1
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• pp.151-162
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• 2013

Due to a growing demand for the second-hand product, especially for the expensive one, the warranty and maintenance policies for such products have been studied to improve the product reliability of late. In this paper we study a periodic maintenance model for the second-hand product which is purchased by the customer at the age of $x$. When purchased, the dealer provides a warranty of a fixed length during which the product is maintained periodically to reduce the failure rate of the product and thus, to improve the reliability after each maintenance is served. If a failure occurs between two successive maintenances, only minimal repair is conducted. As for the warranty policy, we adopt free non-renewing repair action on each failure, in addition to the periodic maintenance service during the warranty period. Thus, under the given warranty policy, all the maintenance and repair costs incurred during the warranty period are charged to the dealer. For the proposed periodic maintenance scheme, we formulate a cost model to evaluate the expected total cost charged to the dealer during the warranty period and derive an optimal upgrade level of the failure rate at each maintenance to minimize the expected total warranty cost from the perspective of the dealer. We also present numerical results for an optimal upgrade level based on the proposed methods.

• Journal of Distribution Science
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• v.21 no.3
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• pp.123-134
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• 2023

Purpose: The no-contact and economic downturn caused by COVID-19 have further grown the used market. The second-hand trading industry has established itself as a popular consumption culture, leading to exponential growth in the size of the market. This study aims to identify the types of shopping motivation for used products targeting Korean consumers, and to examine the relationship between shopping motivations for second-hand transactions, consumption values, and re-use intentions. Research design, data and methodology: The first study was conducted on 63 used trading platform users and the second study was conducted on 441 used trading platform users to identify the types of consumers' motivation for shopping for used products. Results: As a result of the first study, the shopping motivation types of Korean used product consumers were classified into convenience motivation, economic motivation, hedonistic motivation, information Acquisition motivation, and free time utilization motivation. As a result of the second study, it was found that convenience motivation had the greatest influence on functional values and hedonic motivation had the greatest influence on emotional values, and that functional values had a great influence on platform reuse intentions. Conclusions: This study provides practical implications for the establishment of marketing strategies for used trading platforms and academic implications for research related to used trading.

• Knowledge Management Research
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• v.25 no.2
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• pp.193-218
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• 2024

The current study investigated the factors influencing the buyer's repurchase intention for second-hand products. This study first identified perceived risk and purchase value as the two primary influencing variables. Additionally, some exogenous variables influencing these two variables were examined. Statistical analysis using Partial Least Squares (PLS) revealed that product uncertainty, seller uncertainty, and site trust had statistically significant relationships with perceived transaction risk. However, while economic benefit showed a significant impact on purchase value, product scarcity and resale value did not exhibit a significant relationship with purchase value. Perceived transaction risk was found to have an insignificant relationship with repurchase intention, but indirectly influenced repurchase intention through purchase value. Purchase value was identified as having a significant influence on repurchase intention. Therefore, it was concluded that purchase value is the most important factor influencing repurchase intention in the purchase of second-hand products, while transaction risk indirectly influences repurchase intention through purchase value. The study indicates that product uncertainty and economic benefit are the most significant exogenous factors influencing transaction risk and purchase value, respectively.

• Information Systems Review
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• v.23 no.4
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• pp.45-67
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• 2021

As the transaction volume of the C2C second-hand market is growing, the number of frauds, which intend to earn unfair gains by sending products different from specified ones or not sending them to buyers, is also increasing. This study explores the model that can identify frauds in the online C2C second-hand market by examining the postings for transactions. For this goal, this study collected 145,536 field data from actual C2C second-hand market. Then, the model is built with the characteristics from postings such as the topic and the linguistic characteristics of the product description, and the characteristics of products, postings, sellers, and transactions. The constructed model is then trained by the machine learning algorithm XGBoost. The final analysis results show that fraudulent postings have less information, which is also less specific, fewer nouns and images, a higher ratio of the number and white space, and a shorter length than genuine postings do. Also, while the genuine postings are focused on the product information for nouns, delivery information for verbs, and actions for adjectives, the fraudulent postings did not show those characteristics. This study shows that the various features can be extracted from postings written in C2C second-hand transactions and be used to construct an effective model for frauds. The proposed model can be also considered and applied for the other C2C platforms. Overall, the model proposed in this study can be expected to have positive effects on suppressing and preventing fraudulent behavior in online C2C markets.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.469-471
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• 2023

본 논문에서는 기존 중고거래 플랫폼들의 불편한 점들을 해소하고 사용자들이 효율적이고 편리한 중고거래를 할 수 있도록 도와주는 플랫폼을 개발했다. 조사를 통해 기존 중고거래 플랫폼은 허위 매물, 시세 파악의 어려움, 사기 피해 등의 문제점이 존재한다는 사실을 인식했다. 문제 해결을 위해 파이썬을 활용하여 주요 중고거래 플랫폼의 상품 데이터를 수집했다. 이에 IQR을 적용하여 가격의 이상치를 판별했다. 가격 비교와 허위 매물 판별이 용이하게 되는 장점이 있다. 또한 이상치를 제거한 상품들의 시세를 계산하여 데이터를 차트로 시각화했다. 플랫폼과 지역마다 상이한 중고 상품의 신뢰성 있는 시세를 파악할 수 있고 중고거래 사기 피해를 방지할 수 있도록 사용자에게 주요 사기 수법, 뉴스 등의 정보를 제공한다.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.5
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• pp.822-838
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• 2023

Reselling, an activity of purchasing high-scarcity products and selling them back at high prices, has gained popularity among those in their 20s and 30s in recent years. This study examines the resell activity process of the MZ generation using the online second-hand platform and its inherent meaning. Interviews with 15 participants in their 20s and 30s showed that respondents have four purchase stages: being influenced by social media, collecting and comparing information using various social media, purchasing efforts, and post-purchase behavior. The research derived three inherent meanings of resell activities: (1) means of self-presentation and differentiation, (2) confirmation of investment skills and aptitude to lead fashion trends, and (3) pleasure of consumption. Respondents indicated meeting self-satisfaction through public selfies on social media. In addition, they emphasized the empirical pleasure during the buying journey by collecting product information, comparing prices, and negotiating with buyers. Our findings confirm the spread of resell activities from minority groups to enthusiastic youth. This study is significant for focusing on fashion products that attract attention in the resell market and examining the respondents' consumption experiences from various perspectives.

• The Journal of Fisheries Business Administration
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• v.47 no.1
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• pp.47-61
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• 2016

This study is aimed to analyze economical meaning and problems on the industrial differentiation of Korean laver industry. Based on the surveyed data, the export value of korean laver has increased over 28 times for last 20 years($10 million to $300 million) and the separation of farming and processing was an important success factor of rapid growth of korean laver industry. However, the result of the survey shows that the farming profit is 534.1 won out of the total price for a bunch of dried laver, 3,566.3 won. So, farming profit counts for just 15 percent of total price. In contrast, the processing profit is 1,143.5 won and it is 32.1 percent of total price. This means that laver farmers are not being guaranteed their profit properly. This phenomenon is occurred due to lower status of first-hand processors(which produce dried laver) to second-hand processors(which produce seasoned laver) due to advanced payment given by second-hand processors. So, fist-hand processors should provide their product in the price which was designated by second-hand processors. Besides, despite of many business risks caused from climate change and environmental pollution, the market price of raw laver has steadily decreased. For sustainable prosperity of korean laver industry, imbalance on korean laver industry concerning profit sharing is need to be changed. In future, self-processing of dried laver in fishery household and enhancing the role of The Fisheries Cooperative Union in laver industry can be considered.

• Fashion & Textile Research Journal
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• v.14 no.6
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• pp.928-940
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• 2012

The present study aimed to propose the competitive strategy to fashion brand franchise stores by analyzing articles regarding success stores as published in fashion magazines. A total of 91 articles were selected from three fashion magazines and content analysis was applied to extract major factors. Four types of trading areas and eight product types were compared by the major factors. As results, six major factors composing competitive strategy were analyzed such as personal selling, management of sales forces, promotion, customer relationship management, management of store space, and relationship with headquarter. Comparing competitive factors by the types of trading area, management of sales forces and personal selling were crucial for central district and for outlets/interchange district. On the other hand, personal selling and customer relationship management were important for local district while management of store space and personal selling were critical for tenants of the large discount store/shopping mall area. Comparing by product types, personal selling was the most important factor for all product types except young casualwear whereas the second important one was management of sales forces for adult casualwear, womenbbbs wear, and others. For menbbbs wear, sales promotion was the second important one whereas management of store space was the second crucial one for underwear and childrenbbbs clothing. Based on the present study result, it is proposed that competitive strategy of individual fashion brand franchise store should be differently developed because the characteristics of trading area and product type are different and in turn, customers benefit and competition might be different.