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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.

The internet has provided a gamut of benefits to consumers. The digital world, however, also provides space for various illegal or unethical consumer activities. Consumers may not always be fully aware of the unethical or illegal nature of some of the online activities that they engage in. This study aims to examine the questionable side of online consumer behaviour in an emerging market where internet penetration and smart phone accessibility is rapidly expanding. Using a third-person technique, this study attempts to empirically capture the perceptions of Indian adults regarding the prevalence of various questionable online activities such as unauthorized downloading of digital content, spreading fake news/misinformation and fraudulent returns and to understand the extent to which these respondents believe that such actions are acceptable or illegal and unethical.

An online questionnaire was used to collect primary data from 212 consumers. Non-probability convenience and snowball sampling was used for the purpose.

Unauthorized watching or downloading of online content is reported to be the most prevalent among the various types of questionable behaviours examined. However, it is behaviours such as fraudulent returns and spreading misinformation through online channels which are considered to be the most unethical or illegal. Certain behaviours which may be deemed to be unethical and illegal nevertheless are seen as acceptable. Significant differences between demographics in the case of several of the unethical activities are reported.

This study examines the grey and dark side of online behaviours among consumers in an emerging market and points to the need for action on several fronts to increase consumer awareness and sensitivity about the unethical or illegal nature of some of their online activities and the implications for multiple stakeholders. Based on the findings of this study, recommendations directed at consumers, marketers and policymakers are discussed.

Although the benefits of online communication channels have been extensively studied, their ability to facilitate certain unethical and even illegal activities is an under-researched area. The inclination to engage in these types of questionable behaviours may have been exacerbated by the restrictions imposed by the COVID-19 pandemic. This study highlights the importance of research on various grey consumer activities in the digital space and paves the way for further investigations by identifying online actions which are considered as most prevalent and/or unethical and illegal.

Pro-consumer refund system (PCRS) should be understood as a process in customer service, within which activities are related to the handling of goods that do not meet customer expectations, both in business-to-consumer (B2C) and business-to-business (B2B) relations. The research monitored three groups of variables – the importance of shopping decision factors, customer ID characteristics and PCRS characteristics. The authors explore relationships between these three groups of variables, and the authors tried to understand better the role of the PCRS system in customer perception of service quality.

An electronic survey was used to collect data in the planned structure. Research questions were developed into variables, and these were then the basis for creating questionnaires. Data were collected through electronic questionnaires. The sample consisted of 327 respondents from Poland (confidence level = 95%, confidence interval = 5.42).

The results of the research show that the PCRS is very important and appreciated from the customer's perspective. Most of the respondents are aware of their consumer rights and correctly understand the meaning of the term “pro-consumer refund system”. Respondents require complex service in terms of returns; their satisfaction does not depend on any individual factor. This also means that the return system must be lenient in each aspect.

A detailed analysis of aspects of PCRS has not yet been carried out in the literature. Although previous studies have focused, at least in part, on defining the essential attributes of PCRS, in most cases, it was an organization-driven view of this topic. The research examined the interrelationships between aspects of PCRS based on empirical data and offered a new perspective on this evolving concept.

Relatively scant attention thus far has been accorded in the marketing literature to the examination and explanation of return behaviour of consumers, especially within the mail order industry. The issues examined here consist of the nature and influence of such factors as “buying experience”, “perceived risk”, and “return frequency”. The aim of this paper is to analyse four groups of returners (“heavy returners”, “medium returners”, “light returners”, and “occasional returners”).

This paper details an empirical study of return behaviour based on a field survey that was conducted specifically focusing on the apparel category. Exploratory factor analyses and analyses of variance (ANOVA) have been employed to test the proposed hypotheses.

Results show that there exist different reasons for returns among the four groups of returners. In particular, they differ in their initial shopping motivation for mail order purchases, their group‐specific reasons for product returns, and also in their spending patterns.

These are discussed within the body of the paper.

A number of meaningful implications for mail‐order firms are developed from the empirical findings. While product returners have been thought to be an amorphous category (akin to a “black box”) in the past, this paper highlights the disparate motives for making returns. Specific prescriptions are provided regarding the management of product description, consumer return policy, and the handling of consumer perceived risk.

This paper contributes toward the evolving literature of consumer return behaviour in the context of distance purchasing and also by taking into consideration the heterogeneity of return groups. It looks at the characteristics of the return groups and how they differ in their prior motives of making their purchase decisions.

The current research explored both pre-purchase and post-purchase factors of consumer behaviour. Specifically, the purpose of this paper is to investigate the relationships that may exist among consumers’ perceptions of perishability, scarcity, low price, attitudes, impulse buying, post-purchase emotions, and product returns within the context of the fast fashion environments.

A total of 246 usable questionnaires completed by female undergraduate students, who made purchases and product returns at fast fashion retailers, were analysed in SPSS and AMOS 23.0. Structural equation modelling was employed to test the hypotheses.

Consumers who are attracted to scarcity due to limited supply and scarcity due to time, referred to as perceived perishability, have a positive attitude towards the fast fashion retailers in which products are presented in scarce environments. Likewise, consumers have a positive attitude towards fast fashion retailers due to low priced merchandises they offer. Consequently, consumers who have a positive attitude towards the fast fashion retailers are likely to purchase products from them impulsively. Moreover, impulse buying behaviour positively influenced some negative post-purchase emotional responses, which in turn positively influenced product returns in the fast fashion environments.

The results of the current study contribute to a greater understanding of apparel-related consumer behaviour in general. A theory formation of fast fashion consumer behaviour from acquisition to disposal can be drawn from the results of this study. Because some fast fashion retailers do sell clothing for both men and women, researchers could compare the responses of males and females to examine differences in consumer behaviour related to demographic characteristics. In the future, an examination of actual emotional responses and return behaviour would be beneficial for a more complete understanding of post-purchase consumer behaviour.

Fast fashion retailers could use this information to carefully design shopping environments that induce impulse buying behaviour because it may result in product returns. Fast fashion retailers need to understand the causes of the return behaviour, whether consumer related or product related, to better meet the needs of their target market. Return policies must be considered.

This research is the first to examine the impact of negative emotions following consumers’ impulse buying on product returns in the fast fashion retail environments.

The purpose of this paper is to examine the relationship between returning consumer environmental behaviour and tourists’ propensity to stay in a green hotel, particularly in the Malaysian context. Next, the influence of a moderating variable (i.e. green hotel knowledge) on returning tourists’ propensity to stay in a green hotel is also examined.

The research used a hierarchical regression for data analysis across a sample of 400 young respondents who stayed at a green hotel at least once in a year. Their participation was purely voluntary.

Empirical analysis via hierarchical regressions confirmed that returning tourists’ intention to stay at a green hotel was influenced positively by perceived behavioural control and attitude. However, the subjective norm was found to be not significantly related to returning tourists’ intention to stay at a green hotel.

The current data were only collected from respondents within one area which may not represent the entire population of Malaysia. Hence, it is imperative that sample size be expanded, and wider geographical areas with different cultural values covered to improve generalizability of findings.

These empirical results may benefit the hotel industry involved in green initiatives and activities in formulating effective marketing strategies to review the demand of returning consumers to stay in green hotels and evaluate the acceptance level of the returning consumers towards green behaviour. The hotel industry should take its environmental and social responsibility seriously and uphold aspects of energy efficiency, natural resources and environment and indoor environmental quality in business operations in a sustainable manner besides focusing on maximizing profit.

The results of this study offer a new forward motion to the findings of prior studies on environmental behaviour, which is not much covered in the literature in the Malaysian context by providing additional information in narrowing the research gap with regard to understanding returning consumers’ intention to stay in green hotels. Next, the proposed framework could be the basis for further research investigating returning consumers’ intention to stay in green hotels, within the Malaysian context.

This paper aims to propose a method for forecasting product returns based on reason codes. The methodology uses two approaches, namely central tendency approach and extreme point approach, and is developed for the consumer electronics industry.

The methodology presented here is based on the return reason codes (RC). The incoming returns are split into different categories using reason codes. These reason codes are further analyzed to forecast returns. The computation part of this model uses a combination of two approaches, namely extreme point approach and central tendency approach. Both the approaches are used separately for separate types of reason codes and then results are added together. The extreme point approach is based on data envelopment analysis (DEA) as a first step combined with a linear regression while central tendency approach uses a moving average. For certain type of returns, DEA evaluates relative ranks of products using single input and multiple outputs. Once this is completed, linear regression defines a correlation between relative rank (predictor variable) and return quantity (response variable). For the remaining type of returns the authors use a moving average of percent returns to estimate the central tendency.

Reason codes and consumer behavior in combination with statistical methods can be used to forecast product returns.

Consumer electronics retailers and manufacturers can effectively use this methodology to forecast product returns. This methodology effectively addresses and covers different product return scenarios.

This research paper shows the new way of forecasting product returns i.e. reason codes based forecasting by combining two approaches, namely extreme point approach and central tendency approach. Also, it shows a new way of translating the consumer behavior into meaningful data; that data can be fed to a model to forecast product returns.

This study, grounded in the SOR theory, aims to enrich the understanding of customer citizenship behaviour in omnichannel fashion retail by examining how different customer experiences enhance customer engagement and how that engagement leads to customer citizenship behaviour. The influence of return policies on the relationship between customer engagement and customer citizenship behaviour was also examined.

Partial least squares structural equation modelling (PLS-SEM) is used to examine the framework of the proposed study with data collected through a survey (n = 251) to examine the opinions of the respondents about the variables mentioned. The authors also assessed the proposed framework using predictive power assessment using PLS predict.

The study results reveal that customers’ experiences of integration and flexibility in omnichannel retail are positively associated with their engagement. However, customer experiences of connectivity, consistency and personalization do not appear to affect customer engagement significantly in omnichannel retail. The return policy positively moderates the relationship between customer engagement and customer citizenship behaviour in the omnichannel fashion retail context. Predictive power assessment shows that the proposed model has high prediction accuracy.

This study contributes to the marketing literature by investigating different dimensions of consumer experience collectively and its impact on customer engagement and citizenship behaviour. Furthermore, the study contributes to omnichannel retail in fashion industry by testing the return policy as a moderator variable on the relationship between customer engagement and citizenship behaviour.

Este estudio, basado en la teoría SOR, enriquece la comprensión del comportamiento cívico del cliente en el comercio minorista de moda omnicanal examinando cómo las diferentes experiencias del cliente mejoran el compromiso de éste y cómo dicho compromiso conduce al comportamiento cívico del cliente. También se examina la influencia de las políticas de devolución en la relación entre el compromiso del cliente y el comportamiento ciudadano del cliente.

Se utilizó la modelización PLS-SEM para examinar el marco del estudio propuesto con datos recogidos mediante una encuesta (n = 251) para examinar las opiniones de los encuestados sobre las variables mencionadas. Los autores también evaluaron el marco propuesto mediante una evaluación del poder predictivo utilizando la predicción PLS.

Los resultados revelan que las experiencias de integración y flexibilidad de los clientes en el comercio minorista omnicanal se asocian positivamente con su compromiso. Sin embargo, las experiencias de los clientes de conectividad, coherencia y personalización no parecen afectar significativamente al compromiso del cliente en el comercio minorista omnicanal. La política de devoluciones modera positivamente la relación entre el compromiso del cliente y el comportamiento ciudadano en el contexto del comercio minorista de moda omnicanal. La evaluación del poder predictivo mostró que el modelo propuesto tenía una alta precisión de predicción.

El estudio contribuye a la literatura de marketing investigando colectivamente diferentes dimensiones de la experiencia del consumidor y su impacto en el compromiso del cliente y el comportamiento ciudadano. Además, este estudio contribuye a la venta minorista omnicanal en la industria de la moda al probar la política de devoluciones como variable moderadora de la relación entre el compromiso del cliente y el comportamiento ciudadano.

本研究以 SOR 理论为基础, 通过研究不同的顾客体验如何提高顾客参与度, 以及顾客参与度如何推动顾客公民行为, 丰富了对全渠道时尚零售中顾客公民行为的理解。研究还探讨了退货政策对顾客参与和顾客公民行为之间关系的影响。

本文采用 PLS-SEM 模型来检验拟议的研究框架, 并通过调查（n = 251）收集数据, 以检验受访者对上述变量的看法。作者还通过使用 PLS 预测评估预测能力, 对提出的框架进行了评估。

通过调查（n = 251）收集的数据, 使用 PLS-SEM 模型来研究拟议的研究框架, 以考察受访者对上述变量的看法。作者还通过使用 PLS 预测评估预测能力, 对提出的框架进行了评估。

研究结果表明, 顾客在全渠道零售中对整合性和灵活性的体验与他们的参与度呈正相关。然而, 顾客在连通性、一致性和个性化方面的体验似乎并未对顾客参与全渠道零售产生显著影响。退货政策对全渠道时尚零售中顾客参与和公民行为之间的关系起到了积极的调节作用。 预测能力评估表明, 所提出的模型具有较高的预测准确性。

本研究通过对消费者体验的不同维度及其对顾客参与和公民行为的影响进行综合研究, 为营销文献做出了贡献。此外, 本研究通过检验退货政策作为顾客参与和公民行为之间关系的调节变量, 为时尚行业的全渠道零售做出了贡献。

The authors analysed the operations of two synchronised channels by focusing on “buy online and return in store” (BORS) strategies in fast-fashion retail by investigating internal and external factors affecting this omnichannel strategy.

The authors apply a combination of techniques to identify the BORS factors. Firstly, a strengths, weaknesses, opportunities and threats (SWOT) analysis was used to define the operational factors of BORS adoption. The authors then apply analytic hierarchy process (AHP) to evaluate the factors under four SWOT categories for kids, male and female consumer groups. The factors of BORS were then ranked using the fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (fuzzy VIKOR) approach.

Combining the SWOT, AHP and fuzzy VIKOR techniques, the authors identified 21 factors in this study. The opportunity that BORS provides for trying in the fitting room for a better convenient shopping experience was ranked as the most important factor, followed by the opportunity to create a loyal customer profile with an easy and well-organised return process. Furthermore, the results reveal that the child consumer group is the most critical of the stated operations factors, followed by male and female consumers.

The authors described the operational factors and supported the decision-making system of BORS for each consumer group with a priority ranking to realise effective managerial management for fast-fashion retailers and practitioners.

The study contributes to the growing literature on the BORS omnichannel strategy, specifically for fast-fashion retail based on consumer needs.

The purpose of this paper is to examine the impact of self‐congruence on consumer satisfaction with services and to develop and test a conceptual model of the antecedents and consequences of consumer satisfaction in the hospitality industry.

The conceptual framework consists of the following constructs: actual self‐congruence, ideal self‐congruence, desires congruence, service quality, consumers' overall attitude to a service firm, and intention to return. Moreover, 12 hypotheses were developed and tested. Exploratory and confirmatory factor analysis were used to test the validity of the measures, while PLS was used in hypotheses testing. Data were collected from 185 consumers who had recently visited a restaurant or hotel.

Strong support was found for 11 of the 12 hypotheses. Findings reveal that ideal self‐congruence and desires congruence have positive effects on consumer satisfaction. In contrast, it is shown that actual self‐congruence is not related to consumer satisfaction. Moreover, it is demonstrated that the two dimensions of service quality – physical quality and staff behaviour – have a positive impact on both desires congruence and consumer satisfaction. Importantly, consumer satisfaction is found to be a better indicator of the consumers' overall attitude to the service firm than service quality. The study confirms that consumer satisfaction mediates the relationship between the two service quality dimensions, ideal self‐congruence, and intention to return.

This study makes four important contributions. First, satisfaction research is advanced by integrating self‐concept theory into the postpurchase evaluation of services. Second, the relationship between the multidimensional nature of service quality and consumer satisfaction is examined by testing paths from two posited dimensions of service quality – physical quality and staff behaviour – to satisfaction. Third, the consumers' overall attitude to a service firm is integrated into existing models of satisfaction and its impact on behavioural loyalty (intention to return) is tested. Finally, a contribution is made to the satisfaction research literature by testing the effect of service quality on desires congruence, and the effect of desires congruence on consumer satisfaction.