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In this context, the aim of the present research is to examine what factors determine that consumers restrain from shopping used products through the Internet. So, this research aims to analyze what makes consumers prevent from shopping second-hand products online.

For this purpose, the authors propose and empirically test a conceptual model of the barriers towards online second-hand shopping behavior. Drawing on a sample of 405 consumers data were analyzed through structural equation modeling (SEM).

The findings reveal that contamination effects and the lack of trust towards the online store, followed by the low perceived product reliability and the poor product perceived quality prevent consumers from shopping used products online. Conversely, consumer embarrassment for shopping second-hand products and the purchase uncertainty do not influence consumers' second-hand shopping behavior.

This study contributes to the marketing literature on second-hand shopping, being an attempt to explore the factors that prevent consumers from purchasing used products through the Internet.

This paper explores how the existence of a second-hand market can affect remanufacturing decisions for durable goods in the presence of patent protection.

The authors construct a dynamic decision model between a durable goods original manufacturer and a durable goods remanufacturer considering the characteristics of the multi-cycle uses of new durable goods and remanufactured durable goods.

The results show that (1) the second-hand market compresses the cost space of a durable goods original manufacturer and a remanufacturer; (2) when the second-hand market exists, the optimal pricing of new durable goods is reduced, the optimal pricing of remanufactured durable goods is increased and the patent cost of each unit of durable goods increases and (3) the presence of the second-hand market will increase the original manufacturer's and remanufacturer's profits.

The research conclusion has certain reference value for the production strategy selection of each enterprise in the process of patented product remanufacturing and the government's fiscal policy formulation at each stage of the remanufacturing industry's development.

In the last 15 years, online sales of second-hand products have grown substantially due to changes in the economy, increasing interest in sustainability and the new opportunities offered by the alternative markets. However, little is known about the antecedents of customer retention in this particular online market. To this effect, the aim of this research is to bring new insights about what retains shoppers and creates loyal behaviour in this market by presenting a loyalty model based on expectancy-value theory and building on Olsen's satisfaction-loyalty model.

To achieve the above-mentioned purpose, a survey comprised of 507 respondents who had purchased second-hand products via an online platform during 2020 was used to test the model.

The results validate both the satisfaction-loyalty model and the mediator role of the fulfilment of expectations between perceived quality and satisfaction. The results also indicate that customer fulfilment of expectations depends only on the perception of product quality. Perceived product quality was also the dimension that most influenced satisfaction, followed by perceived vendor quality. Last, the dimensions that contributed most to loyal behaviour were satisfaction with the vendor and with the website.

The originality of this research lies in the validation of the unique satisfaction-loyalty model for online second-hand purchases. The value of this research is that it adds knowledge about effective strategies for platform owners and sellers to enhance customer satisfaction and loyalty in online second-hand markets.

The purpose of this research is to conduct a theoretical prediction study exploring the effectiveness of different content marketing strategies in expanding the second-hand market for fashion brands, comparing the costs and risks involved in these strategies in practice.

First, the expert interview method is employed to extract the content marketing strategies of the fashion second-hand market. Then, a descriptive space that is able to identify various fashion brand images is established. Then, experts' perceptions of the relationships between content marketing strategies and fashion brand image dimensions are obtained through a subjective evaluation procedure. Data of semantic evaluation were quantified and analyzed using the fuzzy logic method.

When fashion brands expand to the second-hand market, they not only need to focus on improving the individual differentiation of products but also give priority to the quality of products and services and the overall customer experience. Exploring the “social impact strategy” will become an important direction for the development of fashion brands in the future.

The research methodology employed herein exhibits a noteworthy degree of novelty. This study introduces a pioneering theoretical prediction approach utilizing fuzzy logic, marking the inaugural exploration of this emerging and captivating dimension within the context of the study. Simultaneously, the study provides comparative results among content marketing strategies for expanding the fashion second-hand market, offering guidance for market expansion.

The fashion industry has been accused of being the second largest environmental polluter in the world. Millions of tons of post-consumer waste are dumped in landfills and garbage disposal sites each year. However, environmental concerns are emerging as a mainstream issue among modern-day consumers. This critical problem has prompted fashion retailers and brands to embrace sustainable practices to address consumers’ environmental concerns by reducing pollution. Given this background, this research aims to understand consumer’s perceptions of value towards second-hand fashion consumption in the context of Sri Lanka.

This exploratory study uses a qualitative approach to understand consumers’ perceptions of value towards second-hand fashion consumption.

This research uses the theoretical model of the means-end chain model and shows five consumer’s values of second-hand consumers: price-consciousness, consciousness on emotional bonds, comfortability consciousness, quality and brand consciousness and social and environmental consciousness. Furthermore, the authors show non-second-hand fashion consumers’ values as social status consciousness, hygienic consciousness, comfortability consciousness, quality and brand consciousness and self-expressive consciousness.

This research sheds some light on the emerging knowledge of second-hand consumption. This research further points out certain practical implications by drawing attention to a few opportunities and challenges associated with the second-hand fashion business within the Sri Lankan fashion retail sector, in particular when launching new fashion brands catering to second-hand fashion consumers.

The sale of second-hand goods in the luxury fashion space continues to soar. However, existing literature on this segment is limited and the factors that draw consumers to this space are not well understood. This study aims to fill this gap and proposes a conceptual model demonstrating the linkage between the motivators and barriers toward re-commerce in the luxury fashion space and actual shopping behaviors.

A survey sample of USA second-hand luxury fashion shoppers was collected. Participants were asked questions about various motivators and barriers toward re-commerce, as well as the participants' attitudes and shopping behavior. The results were analyzed using SmartPLS structural equation modeling (SEM).

Economic reasons, originality and self-extension were found to be statistically significant motivators of attitudes toward re-commerce, while status consumption, nostalgia and ecological motivators were not. Superstitious beliefs were also found to be statistically significant motivators toward attitudes of re-commerce. Attitudes were also found to be a significant predictor of shopping behavior as measured by dollars spent and shopping frequency.

This study is among the first to propose a conceptual model depicting the relationship between motivators and barriers to actual shopping behavior in the second-hand luxury fashion space. Many of the motivators and barriers examined in this study are novel and have not been considered in prior research. Superstitious beliefs in particular have not been studied in the context of re-commerce.

Non-profit organizations (NPOs) are exposed to a highly competitive environment in which they are forced to grow their commercial activity to acquire additional financial resources. This study aims to create an understanding of how NPOs involved in textile reuse as a revenue-generating programme manage their reverse supply chains (RSC).

The research involves an embedded single-case study of NPOs in Finland involved in post-use textile collection. The main data sources are semi-structured interviews and participant observations.

This study is inspired by the microfoundations movement and identifies the underlying microfoundations of the NPOs’ capabilities for managing RSC for textile reuse. The study contributes to the literature by demonstrating NPOs’ lower-level, granular practices and their adaptations for achieving quality outcomes in textile reuse.

The findings have context sensitivity and apply to the NPOs which operate in a context similar to Finland, such as in other Nordic countries.

This study continues the discussion on the adoption of “business-like” practices in the NPOs’ pursuit of additional revenue streams to finance humanitarian work. The findings of this study can also be transferred to the growing area of domestic textile circularity.

Using the case of NPOs in textile reuse, the study illustrates how RSC management can serve a social, non-profit cause and transform unwanted textile products into a source of fundraising for humanitarian work.

This enriches the understanding of NPOs’ practices within the scope of revenue-generating programmes by examining one of them – textile reuse through charity shops from an RSC perspective.

This research draws on drive reduction theory and mental accounting theory to understand how the prospect of reselling used items can influence consumer feelings of consumption guilt and impact their willingness to purchase new products.

We conducted two studies with between-subjects designs to explore this relationship. In Study 1, we examined the correlation between consumers' perceived guilt and their willingness to buy a new product, considering their awareness of the product’s resale potential. Study 2 delved into the aspect of reselling a similar old product already owned by the consumer.

The findings suggest three key insights. First, consumers' awareness of resale potential significantly affects their guilt perception and purchasing decisions. Second, the resale reference price (RRP) can decrease guilt perception but increase the intention to buy a new product. Lastly, when consumers are aware of the resale value of a previously owned product that is similar to the desired new product, the effect of the RRP on their purchasing intent is mediated by consumer guilt.

This research fills a theoretical gap by empirically exploring the emotional motivations behind consumer resale behavior. It presents a novel perspective on how resale activities can shape feelings of guilt and impact purchasing decisions. This offers important implications for understanding the dynamics of consumer behavior in the second-hand market.