Search results

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.

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.

The demand for second-hand clothing has risen rapidly in the past few years. Yet, the understanding of the motivations of consumers buying second-hand clothing is very limited. The purpose of this study is to propose and empirically test an integrated model of the theory of planned behaviour and the theory of consumption values to explain consumers' intention to buy second-hand clothing.

Data (n = 290) are collected from consumers in Malaysia and analysed by partial least squares structural equation modelling (PLS-SEM).

Results of this study show that attitudes towards second-hand clothing, injunctive norms, descriptive norms, moral norms, and perceived behavioural control have a significant positive influence on consumers' intention to buy second-hand clothing. Furthermore, emotional value and environmental value are found to have a significant positive influence on attitudes. However, no support is found for the positive influence of social value and epistemic value on attitudes.

The study confirms that the integrated model is useful in explaining consumers' intention to buy second-hand clothing. Furthermore, this study also provides some valuable suggestions to practitioners.

Vintage has been a growing trend in clothing recently, leading to major fashion brands launching collections inspired by vintage pieces or luxury haute‐couture houses digging into their archives to revive past designs. Yet, as this market develops, little is known about the profile of the consumer and the motivations to purchase vintage. This paper aims to explore the veracity of a number of assumptions relating to vintage consumption, equating it to the consumption of used, previously owned clothes by nostalgic prone, environmentally‐friendly or value‐conscious consumers.

A quantitative approach including structural equation modeling (SEM) was employed in this research using data collected from 103 women (screened on past second‐hand purchases). Vintage clothes were defined as pieces dating back from the 1920s to the 1980s. Second hand clothes were defined as modern used clothes.

The results show that the main antecedents to vintage consumption are fashion involvement and nostalgia proneness as well as need for uniqueness through the mediation of treasure hunting. In contrast, second‐hand consumption is directly driven by frugality. Eco‐consciousness plays an indirect role through bargain hunting. In essence, the thrill of the hunt is present for vintage and for second hand consumption. Yet, while vintage consumers shop for a unique piece with history, second‐hand consumers shop for a unique piece at a good price. Additionally, the main characteristics of vintage fashion consumers are a higher level of education and higher income whereas age is not directly related to the purchase of vintage pieces.

The paper discusses the relevance of second‐hand stores repositioning as vintage based on vintage and second‐hand consumers' profiles. Also, the need to educate consumers on the role of second‐hand consumption in a pro‐environmental lifestyle is highlighted.

This purpose of this study is to develop actionable marketing insights regarding why consumers might elect to purchase vintage products. A concept called consumer pastness is introduced, developed and defined to achieve this end. Consumer pastness demonstrably affected consumers’ perceptions of vintage products’ scarcity and consumers’ propensity to purchase vintage items. When applied inside marketing contexts, consumer pastness may also explain how and why consumers distinguish vintage products that are “of the past” from new and second-hand products. The data suggest that when consumers perceive products are characterized by higher consumer pastness the products will be perceived as scarcer, more desirable and more valuable than new or second-hand versions of the same item.

A scale was developed to capture three dimensions that comprise consumer pastness and then a pilot study and two experiments were conducted to test the research propositions.

Study propositions were confirmed. Consumers perceive vintage products as scarcer and more desirable than other types of products.

A novel and useful concept is introduced to the marketing literature inside this study. To the best of the authors’ knowledge, this study is the first to investigate and develop theoretical insights regarding how and why consumers perceive vintage products differently from new and second-hand products. The investigations reported below are also the first to develop practical insights regarding how management might respond to these insights about the role consumer pastness plays.

The study aims to examine whether and how second-hand clothing shoppers differ from non-shoppers on various psychographic variables, including environmentalism, perception of contamination, price sensitivity and perception of vintage clothing. Additionally, this study hopes to uncover whether and how the aforementioned psychographic variables help predict second-hand clothing shopping behaviour, specifically shopping frequency at second-hand clothing stores.

Data were collected through a survey method from 152 college students.

Results showed that college students who shopped at second-hand clothing stores were more likely to be environmentally conscious, more sensitive to higher prices and more likely to wear used clothing to express a vintage look and to be “green”, and to perceive used clothing to be less contaminated, as compared to those who did not shop at second-hand clothing stores. This study concluded that, among college students, second-hand clothing shoppers may do so not only for economic reasons but also for creation of style and feeling special about themselves.

This study suggests that college students who shop at second-hand clothing stores are different from those who do not shop at second-hand stores in terms of their environmental attitudes, perceptions of contamination from used clothing, sensitivity to prices and how they feel about vintage clothing. Further, financial concern (i.e. price sensitivity) is no longer the only reason for second-hand clothing shopping.

Little research has been conducted to understand second-hand clothing shopping behaviour among college students. This study examined multiple psychographic variables and provided insights into college students’ second-hand shopping behaviour.

The purpose of this paper is to review and develop stochastic models for the evaluation of the expected warranty cost, from dealer's viewpoint, for second hand items sold under different warranty policies.

This study makes a useful contribution to the warranty literature by developing a framework to study one dimensional warranty policies for second‐hand products from dealer's viewpoint. Also, numerical examples are provided to illustrate the application of these models.

Despite the fact that warranties for second‐hand products are commonly used, the accurate pricing of warranties in many situations remains an unsolved problem, for both the dealer and customer. The proposed framework allows the dealer to analyze the cost of alternative warranty policies before deciding on the policy to be offered with the sale of a second‐hand item.

The policies and models developed in this paper can be useful in managerial decisions making related to second‐hand products such as automobiles, home appliances, helicopters, electronic equipment and electronics.

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.

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.