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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.

This preliminary study describes the Malawi second‐hand clothing market and recommends strategies for improved distribution by entrepreneurs. We explore the potential for formal retailing of second‐hand clothing in Malawi and present avenues for further research on the topic.

A critical content analysis was conducted using data from secondary sources. Data reduction, data display, conclusion drawing, and verification allowed for organization and compression of information, and assisted in identification of research gaps.

Preliminary findings suggest organizational structure and effective distribution channel relationships may lead small‐scale entrepreneurial ventures to grow in the Malawi formal market. It is apparent that second‐hand clothing retail entrepreneurs have significant location and resource advantages to leverage in the Malawi domestic market.

This analysis was based on limited literature given the undocumented nature of Malawi retailing and the second‐hand apparel market. Potential research phases that could build from this study includes ethnographic study of current second‐hand clothing distribution and consumption practices in the Malawi context, stakeholders' perspectives on formalizing the second‐hand clothing trade, and a feasibility study on entrepreneurial training and start‐up program for small formal retailers of second‐hand apparel.

The paper highlights the second‐hand clothing trade as an under researched area with much fruitful potential for future study. Also the proposed framework for understanding retail development and distribution of second‐hand clothing from an embedded market perspective may be transferable to other developing nations who rely heavily on second‐hand clothing to meet consumer apparel needs.

According to the perspective of evolutionary economic theory, the marketplace continuously evolves over time, following the changing needs of both customers and firms. In accordance with the theory, the second-hand apparel market has been rapidly expanding by meeting consumers’ diverse preferences and promoting sustainability since 2014. To understand what changes in consumers’ consumption behaviors regarding used apparel have driven this growth, the purpose of this study is to examine how the second-hand apparel market product types, distribution channels and consumers’ motives have changed over the past five years.

This study collected big data from Google through Textom software by extracting all Web-exposed text in 2014, and again in 2019, that contained the keyword “second-hand apparel,” and used the Node XL program to visualize the network patterns of these words through the semantic network analysis.

The results indicate that the second-hand apparel market has evolved with various changes over the past five years in terms of consumer motives, product types and distribution channels.

This study provides a comprehensive understanding of the changing demands of consumers toward used apparel over the past five years, providing insights for retailers as well as future research in this subject area.

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.

Brand management and marketing have focused on brand-new goods, thus largely neglecting the emergence of markets for used products. This study sheds light on how consumers determine the perceived value of fashion brands in online flea markets. In addition, this study aims to illustrate how fashion brands are perceived when sold second-hand in Facebook flea markets.

Empirical data, consisting of internet discussions, were collected for this study from seven Facebook flea market forums between Fall 2014 and Fall 2015. The discussions were analyzed by means of qualitative content analysis.

In the context of flea markets, the perceived value is negotiated and evaluated through six antecedents: perceived quality, price, design, origin, authenticity and brand availability. Not surprisingly, price and quality appear as focal aspects when determining the value of a used brand in second-hand markets. However, the aspects of availability, origin and design complicate the considerations of the perceived value and can distinguish between different flea markets for fashion brands. In online second-hand markets for fashion brands, the passing of time appears to be an important factor grounding the consumers’ considerations of the perceived value.

This study brings forward novel viewpoints to brand marketing by discussing the formation of the consumer-perceived value in the growing field of online second-hand sales of fashion brands.

Second-hand/used goods channels compete with existing traditional channels to satisfy consumers’ needs that are unmet by traditional retail networks. However, most studies on online shopping have largely ignored online second-hand/used good purchases. This study aims to use Thaler’s mental accounting model, principal–agent perspective and contamination theory to highlight the differences in the value sought by online new goods and second-hand shoppers.

A conceptual framework linking perceived uncertainty, perceived acquisition value and e-loyalty was developed and tested using structural equation modelling. The moderating effects of product type (new vs second-hand) and frugality were also included.

The paper found strong support for the model. Results showed that online second-hand shoppers were more uncertain and perceived lesser levels of acquisition value when compared to new goods shoppers. They were also less frugal. Online shoppers are also more likely to buy products with sensory attributes (experience goods) in new goods websites and products with non-sensory attributes (search goods) from second-hand websites. The authors recommend various ways in which managers can increase perceived value for the online shopper.

Future studies can extend this investigation by including transaction value or other hedonic values to verify their impact on acquisition value and e-loyalty. While the authors found support for the notion that consumers who buy used goods online are less frugal, there is some research that could point to the opposite. Hence, research can investigate this topic in depth in more countries to throw more light on this.

To sustain themselves in a competitive online market, retailers need to understand the value sought by consumers. This study provides empirical evidence of the importance of acquisition value for new goods and second-hand shoppers.

No recent research has compared the value sought by online second-hand and new goods shoppers. This study contributes to the understanding of the acquisition value perceived by consumers in online new goods and second-hand shopping channels.

This study examined the links between user-generated content (UGC), dissatisfied customers and second-hand luxury fashion brands. A central premise of luxury fashion brands is the perceived status and privilege of those who own such items. Despite their marketing logic emphasising exclusivity and rarity, they have broadened their reach by integrating new digital marketing practices that increase access to luxury brand-related information and create opportunities for consumers to purchase products through second-hand sellers.

Building on an inductive qualitative study of 59 millennials from three European countries (France, Italy and the UK) and by examining the mediating role of UGC and dissatisfied customers, this paper develops a conceptual framework of three clusters of second-hand luxury fashion goods customers: spiritual consumers, entrepreneurial recoverer consumers and carpe diem consumers.

The proposed SEC framework (spiritual consumers, entrepreneurial recoverer consumers, and carpe diem consumers) illustrates how the emerging themes interconnect with the identified consumers, revealing significant consumer actions and attitudes found in the second-hand luxury goods sector that influence the usage of UGC and its integration into service failure and recovery efforts

This study suggested that the perceptions of consumers seeking second-hand luxury fashion products differ from those who purchase new or never previously owned luxury fashion products. Overall, this research sets the stage for scholars to forge a path forward to enhance the understanding of this phenomenon and its implications for luxury fashion companies.

The purpose of this paper is to analyze the business model of second-hand fashion stores and explore their challenges/opportunities and suggest potential strategies for second-hand fashion retail stores.

A qualitative research method using in-depth interviews of convenience sample of owners/store managers from within the USA was employed.

Contrasting the traditional retail stores, customers are the primary partners and suppliers of second-hand fashion stores. These stores retain minimal profits given a business model that typically involves sharing profits with customers. Cheaper price, thrill of finding great deals, value for brands and variety are the primary reasons mentioned by respondents for shopping at second-hand stores.

Limitations include the use of a convenience sample of store owners/managers as well as the research is limited to women and children’s stores. Respondents of the study were from the same geographical region and the characteristics of the redistribution markets may vary in a different region.

As a means to foster textile waste reduction through second-hand clothing business, these stores could adopt innovative revenue streams, additional partnerships, and improved fashion and store appeal that may be effective in increasing profits and the number of customers.

This study is one of the early attempts to examine the business model of second-hand fashion stores, a form of collaborative consumption in the fashion context. The study contributes in promoting second-hand fashion stores as a sustainable business model in the fashion industry.

This study aims to explore customers’ second-hand clothing purchases and their engagement on the Facebook marketplace.

A conceptual model is developed, building upon the online second-hand shopping motivation (OSSM) scale. Data gathered from 409 respondents was analysed using covariance-based structural equation modelling.

The results highlight that economic, convenience, ideological motivations and environmental concerns impact customers’ purchase intention. Conversely, status consumption was found to impede customers’ purchase intentions. Notably, the elements of social media engagement, including consumption, contribution and creation, demonstrated significance as a consequence of customers’ second-hand clothing purchase intention.

This study’s findings contribute to the knowledge encompassing sustainable fashion consumption, information systems and second-hand social media shopping. It uniquely explores customer behaviours related to second-hand clothes shopping on the Facebook marketplace by building upon the OSSM scale. These findings offer valuable insights, showcasing the determinants that can increase customer-centric social media engagement. These results inform online retailers on Facebook marketplace about sustainable practices, aligning with UN Sustainable Development Goals 12, 13 and 8, to promote a green global economy.