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This paper aims to investigate whether the consumers who return a product and those who end up keeping a product after experiencing post-purchase dissonance (PPD) possess distinct underlying characteristics.

Field survey study consisting of two separate surveys conducted with consumers of New York City and neighboring areas of New York and New Jersey.

Product returners and keepers exhibited disparate demographic profiles regarding gender and household income, along with ethnicity to some extent. The two groups also exhibited different predispositions with regard to confidence in the purchase decision and expectations about their purchase. Finally, returners and keepers were engaged in divergent thoughts, feelings and activities to cope with PPD.

The findings of this study offer marketing practitioners new knowledge and insight into understanding product returners and keepers and will assist them in developing strategies to reduce and manage increasing product returns by consumers more effectively.

This study is the first to present empirical evidence that product returners and keepers have distinct profiles of demographic characteristics and predispositions toward purchase. The study also has found divergent PPD coping strategies used by the two types of consumers, which exposes an obsolete understanding of PPD in the marketing literature.

The purpose of this paper is to investigate how online apparel retailers make trade-offs in achieving efficiency in handling consumer returns, attempting to reduce the number of consumer returns they are faced with and increasing sales through returns management.

The authors use literature to develop propositions and employed a case study research design to understand how online apparel retailers make trade-offs in returns management practices in order to verify the propositions. Case study subjects have been anonimized.

The authors have developed and verified five propositions with the aim to understand how retailers make trade-offs in reducing the number of online consumer returns, increasing the effectiveness of handling online consumer returns and increasing sales through returns management.

The research is limited by the use of interview data from cases, a focus on apparel retail only and by the use of companies located in the Netherlands only.

The propositions help managers make trade-offs in reducing the number of returns versus increasing sales through returns management versus increasing the effectiveness of handling consumer returns.

Consumer returns lead to a significant flow of items from consumers back to online retailers, in particular in fashion. Reduction of this flow decreases social and environmental impacts through reduced transport and handling requirements.

Several authors identify that more empirical research is welcome in the area of returns management. The research aims to contribute to this gap by focussing at how online apparel retailers make trade-offs in achieving efficiency in handling returns, increasing sales through returns management and attempting to reduce the number of consumer returns they receive.

Return policies are major risk-allaying cues for customers, yet they are a critical cost/lost-sales for retailers. Despite their importance in the retailing industry, few studies have examined the interplay of return policies with other cues that customers use to make a purchase decision. Toward this end, this study aims to investigate the interaction effects certain salient high-scope and low-scope cues, such as consumer ratings and brand image, and retailers’ return policies have on consumer purchase decisions.

Building on literature from signaling theory and cue scope literature (high-scope and low-scope cues), the authors develop a research model that hypothesizes the interrelationships between return policies, price discounts, customer product ratings and brand image. Three experimental studies investigate the potential interplay between return policies (lenient vs stringent), price discounts (low vs high), customer product ratings (low vs high) and brand image (high vs low) on quality certainty perceptions and purchase intentions. The mediating effect of quality certainty perceptions on the interplay of various factors (return policy, price promotions, consumer ratings and brand image) and customer purchase intentions is also investigated.

Results indicate that a lenient return policy will have a positive effect when consumers encounter high scope cues that signal undesirable aspects of the product (i.e. low consumer ratings, low brand image). In contrast, when high scope cues signal desirable aspects of the product (i.e. high consumer ratings, high brand image), it attenuates the effects of return policy. The findings suggest that quality certainty acts as a psychological process.

Service researchers should seek to examine the role of return policies in a more comprehensive manner.

Return policies are important cues for consumers while making purchase decision. Thus, retailers need to realize that these policies may need to be more dynamic or tiered, rather than one-size-fits-all.

This study provides a more comprehensive view of how consumers consider multiple cues simultaneously in decision-making. Literature has mainly examined the interactions between different high-scope and low-scope cues, but there has been limited research directed toward the interplay between multiple high-scope cues.

This paper aims to analyze the benefits of the blockchain to the circular economy (CE), which is composed of both closed-loop supply chain (CLSC) systems and reverse omnichannel solutions. By ensuring transparency, traceability, visibility and security, the blockchain allows firms to acquire operational capabilities through a CLSC and service capabilities through a reverse omnichannel, which can boost business performance considerably. The related network of relationships can be reinforced by establishing incentives, which entail both smart contracts in the blockchain and active return approaches in CE.

After identifying the boundaries of the theoretical framework, several research hypotheses are developed according to the literature review and emerging gaps. These gaps link to the impact of the blockchain on CE systems (CLSC and reverse omnichannel), as well as the influence on business performance. The hypotheses are then tested using structural equation modeling and adopting a partial least squares-path modeling technique on a dataset composed of 157 firms. Finally, multigroup analysis is used to test the impact of incentives on the research hypotheses.

The blockchain facilitates a more efficient CE system, although reverse omnichannel solutions seldom bring any benefits to performance. The shift from a passive to an active return approach must be carefully evaluated. The CLSC network can benefit from an active return approach by developing appealing incentives for collectors and enhancing the positive effects of the blockchain. In contrast, consumer incentives can have detrimental effects on the blockchain. Various combinations of incentives can only bring a few business performance increases, while collector incentives are vital to reinforce the CE system's operational and service capabilities.

This paper takes a new approach toward the study of CE, which considers a dual circular system composed of a CLSC and a reverse omnichannel. The research explores whether the adoption of blockchain technology enables better return processes by improving the operations in CLSC and services in reverse omnichannel. Finally, this is the first empirical work to evaluate the benefits emerging from incentives, which can activate smart contracts in the blockchain and enable active return approaches in CE.

While remanufactured products represent an increasingly researched phenomenon in the literature, not much is known about consumers' understanding and acceptance of such products. This study explores this issue in the context of the theory of perceived risk (TPR), investigating return policy leniency and distribution channel choice as potential factors to foster remanufactured products' sales.

This research utilizes an experimental design composed of a pre-test and a scenario-based main experiment to explore how return policy leniency might mitigate consumers' perceived risk and how their related purchase intention differs across two types of retail distribution channel structures (i.e. brick-and-mortar vs. online).

The investigation into the efficacy of return policy leniency within two retail distribution channel settings (i.e. brick-and-mortar vs. online) illustrates that providing a lenient return policy is an effective “cue” in increasing consumer purchase intention for remanufactured products. While prior literature has established that consumers value return policy leniency for new products, the authors provide empirical evidence that this preference also applies to remanufactured products. Notably, that return policy preference holds true in both channel settings (i.e. brick-and-mortar vs. online) under consideration. Additionally, and contrary to the authors’ predictions, consumers perceived remanufactured products sold via both channel settings as equally risky, thus highlighting that both are appropriate distribution channels for remanufactured products. Finally, while research on new products provides some initial guidance on consumer perceptions of quality and risk, the study provides empirical evidence into the difference of perceived risk with regard to new versus remanufactured products.

By employing the TPR, this research explored the role played by two supply chain management related factors (returns policy and channel structure) in reducing consumer's perceived risk and increasing purchase intention. In doing so, this study answers the call for more consumer-based supply chain management research in a controlled experimental research setting.

This paper seeks to investigate relationships between apparel return behavior and fashion innovativeness, buying impulsiveness, and consideration of return policies of US consumers.

A convenience sample of 246 undergraduates studying in the USA completed a questionnaire that contained measures of apparel returns, fashion innovativeness, buying impulsiveness, and consideration of return policies. Pearson correlation and multiple linear regression analysis were used to analyze the data.

It was found that apparel return behavior of participants was positively related to buying impulsiveness and to consideration of return policies. These two variables were also significant predictors of frequency of apparel returns. Fashion innovativeness was not significantly related to participants' apparel return behavior. In addition, participants' consideration of return policies was not related to their innovative or impulsive purchase behaviors.

Findings are useful to retailers to better understand characteristics of frequent returners and to make informed decisions about developing optimal return policies that prohibit excessive product returns yet do not inhibit consumers' purchasing.

There is limited research on potential effects of adopting restrictive return policies. The study begins to examine whether leniency in return policy might potentially influence the behavior of innovative or impulsive consumers.

The purpose of this paper is to examine how return policies from online fashion retailers from different countries (USA, China and Western European) support consumer need for uncertainty avoidance and lower negative prefactual thinking in two different markets: China and USA.

A content analysis of eight international online fashion retailers’ return policies in both the China and USA markets was conducted.

US, Chinese and Western European online fashion retailers have more detailed return policies in the USA market compared to the China market. The results also indicate that US, Chinese and Western European online fashion retailers are more inclined to offer lenient return policies in the USA market which helps to lower consumer perceptions of uncertainty and negative prefactual thinking.

Exploring online retailers’ return policies and how retailers respond to consumers’ level of comfort with uncertainty and tendencies to engage in negative prefactual within the context of different cultural markets offer valuable insight into standard retail practices necessary to retain profitability. Despite the perception of a “global” marketplace, nonstandardization of customer service is found.

Although the ability of online retailers to reach global markets has increased, few scholars have studied return policies within different cultural contexts. This study focuses on return policy as a major influencer of prefactual thinking by reducing anticipated regret and increasing online purchase intention in a global cultural context. The research is not only beneficial to managers who seek to increase the profitability through globally strategic implementation of return policies but also contributes to the consumer regret and risk literature.

The value of online reviews has been well documented by academics and practitioners. However, to maximise the benefits of consumer reviews, online sellers must avoid the negative consequences associated with customer feedback, such as reputation loss, or product returns after purchase. In developing a better understanding of the relationships between online reviews and their potential for negative impacts, this research aims to explore product returns. Through a quantitative model, this research demonstrates why online reviews can result in product return behaviours.

The hypotheses were tested via two studies. In Study 1, the authors examine the direct effects of review valence and review volume on product returns by analysing secondary data on 4,995 stores on China's Taobao.com. Study 2 further extends and validates the findings of Study 1 with a survey sample of 795 participants across several online shopping platforms. This analysis examines the mechanics and conditions that influence the relationships between online reviews and product returns through partial least squares-structural equation modelling (PLS-SEM).

The results show that both review valence (i.e. average star ratings) and the number of reviews can increase the probability of product returns due to the high expectations that result from positive online reviews. Further, the effect of review valence on product returns is stronger for first-time purchasers at a store. In terms of mitigation, the analysis shows that bilateral communications between sellers and buyers can temper the unrealistic expectations set by positive reviews, leading to fewer product returns.

This research adds to the literature on online reviews by exploring the negative consequences of online reviews and the role they play in online purchasing decisions. The findings also provide direct evidence as to why online reviews can result in more product returns, adding clarity to extant research which contains conflicting conclusions as to how online reviews affect product return behaviours.

This paper aims to review the literature on “E-fulfillment” with respect to marketing and operations issues in the current dynamic and complex e-tailing environment and thereby generate significant insights.

This paper is based on a systematic literature review on e-fulfillment focusing on marketing and operations issues therein. This systematic literature review consists of a critical review on e-fulfillment under planning (review question initialisation), searching (literature search), screening (literature evaluation), extraction and synthesis and reporting phases to conceptualise e-fulfillment. A total of 122 research articles have been reviewed to explore e-fulfillment and to develop key constructs and propositions.

This review provides the following three outcomes. First, the varied-fulfillment definitions have been critically reviewed, leading to synthesis, and thereby, an e-fulfillment definition is provided. Further, the variations for e-fulfillment across product types, which have been identified as a key variable for e-fulfillment, have been explored. Second, authors find five e-fulfillment components at the marketing and operations interface: website quality, customisation strategy, distribution strategy, last mile delivery and return management. Continuing with the e-fulfillment interface with marketing, the linkages between e-fulfillment and select post-purchase consumer behaviours measures across different product types have been reviewed. The paper thus with a focus on synthesising e-fulfillment literature from a process perspective emphasises the consumer behaviour metric for measuring e-fulfillment performance.

This study would help academicians, researchers, e-tailers and practitioners to understand e-fulfillment from a process perspective. For the researcher, it presents areas for future research by giving possible research directions in this emerging area. This study also brings out the impact of e-fulfillment according to product type on the post-purchase consumer behaviour measures, which will help e-tailers to link e-fulfillment to consumer behaviour metrics.

The paper classifies the fragmented literature to develop constructs and propositions for e-fulfillment. This is the first kind of study on e-fulfillment process and its impact on select post-purchase consumer behaviour measures across product types.

Motivated by the real-world practice that the boom of the online selling induces a higher product return as well, selecting which online channel mode indicates who takes ownership over the product and thus bears the loss of the product return. This paper aims to seek the optimal online channel modes for the two members in a platform supply chain in the presence of product returns.

This study aims to develop a platform supply chain that consists of one platform company and one supplier. Along with an offline distribution channel, the supplier can choose two alternative online selling modes (i.e. the reselling and agency modes) to sell its product through the online marketplace. This paper applies Stackelberg game to derive the equilibrium with different business scenarios and selects the optimal online channel modes for two parties, respectively. Moreover, this paper extends to a different supply chain with a reverse channel leadership and a different product return policy for testing the robustness.

Several interesting and important results are derived in this paper. Firstly, it is found that the relative pricing are largely relied on the costs of two channels. Secondly, the platform supply chain may benefit from a pure channel rather than the dual-channel when this channel enjoys a relatively low cost and/or a sufficiently high consumer preference. Then, the platform and the supplier act contradictorily when selecting their optimal online channel modes. To be specific, the platform motivates to choose the online reselling mode when both the commission rate and the slotting fee are relatively low, whereas the supplier is likely to select the online agency mode under this circumstance. Finally, a win-win situation in regards to the optimal online channel mode for two parties is achievable with numerical experiments.

Based on the analytical studies, the results derived in the authors’ work can provide managerial insights to assist the supplier and the platform company in determining the operational decision and selecting the optimal online channel mode to deal with consumer returns. In addition, appropriate commission rate along with slotting fee will make both parties achieve a win-win situation in determining their optimal online channel mode.

To the authors’ best knowledge, this paper makes the first move to determine the optimal online channel mode in the content of consumer returns and study how it is affected by different product return policies.