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This empirical study aims to examine luxury fashion retailers' localised multiple channel distribution strategies in China.

Through case studies of 15 participating retailers, qualitative data were collected from 33 semi-structured interviews.

Strong impacts of internationalisation strategies, distribution strategies and channel length towards multiple channel retailing are revealed. Multi-channel retailing is widely employed by firms who have entered China and further developed their businesses through local partnerships and adopted a selective distribution strategy via relatively longer channels. Omni-channel retailing is only suitable for the few retailers using an exclusive distribution strategy through direct marketing and wholly owned customer relationship management. As a dynamic transformation from multi- to omni-channel retailing, cross-channel retailing is adopted by those who are withdrawing from local partnerships and shifting to wholly owned expansions and operations in host markets.

The results are potentially challenged by relatively small sample size.

Practitioners are suggested to adapt multiple channel retailing to their international expansion strategies, distribution strategies and channel length in the host markets.

This paper contributes to the literature in both multiple channel retailing and international retailing by offering insights into the motives, development patterns and suitability of multiple channel retailing in the international retail marketing context.

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。

This study aims to examine the influence of the derived attributes of embedded artificial intelligence-mobile smart speech recognition (AI-MSSR) technology, namely perceived usefulness, perceived ease of use (PEOU) and perceived enjoyment (PE) on consumer purchase intention (PI) through the chain relationships of attitudes to AI and consumer smart experience, with the moderating effect of consumer innovativeness and Generation (Gen) X and Gen Y in fashion retail.

The study employed a quantitative survey strategy, drawing a sample of 836 respondents from Sri Lanka and India representing Gen X and Gen Y. The data analysis was carried out using smart partial least squares structural equation modelling (PLS-SEM).

The findings show a positive relationship between the perceived attributes of MSSR and consumer PI via attitudes towards AI (AAI) and smart consumer experiences. In addition, consumer innovativeness and Generations X and Y have a moderating impact on the aforementioned relationship. The theoretical and managerial implications of the study are discussed with a note on the research limitations and further research directions.

To multiply the effects of embedded AI-MSSR and consumer PI in fashion retail marketing, managers can develop strategies that strengthen the links between awareness, knowledge of the derived attributes of embedded AI-MSSR and PI by encouraging innovative consumers, especially Gen Y consumers, to engage with embedded AI-MSSR.

This study advances the literature on embedded AI-MSSR and consumer PI in fashion retail marketing by providing an integrated view of the technology acceptance model (TAM), the diffusion of innovation (DOI) theory and the generational cohort perspective in predicting PI.

This paper aims to explore the attitude-behaviour gap consumers experience when transitioning from buying fast fashion to embracing sustainable fashion consumption. Despite being driven to make sustainable fashion purchases, consumers are confronted with certain retail barriers that impede them from making the shift.

This study draws from the theory of planned behaviour and the behavioural-reasoning theory approaches to theoretically develop and assess five key fashion consumption barriers that moderate the relationship between sustainable fashion consumption motivations and actual behaviour. These are the steep price of sustainable fashion, low visibility, restricted availability, limited cognisance of the deleterious consequences of fast fashion and low trust in sustainability claims. Under heightened levels of moderators, the relationship between motivation and behaviour was predicted to be weaker. The author's data sample of 376 consumers validated the hypotheses.

This article contributes to the field of sustainable fashion retail consumption in three ways: (1) it reveals that the expensive cost of sustainable fashion is not an obstacle to its adoption, and consumers are willing to pay more but struggle to access the styles they prefer; (2) it unveils that, in contrast to recent scholarship, the lack of knowledge of the adverse environmental effects of fast fashion is still a barrier to transitioning to sustainability and (3) it implies that consumers are less motivated to lower their consumption of clothing when they feel dubious about fashion companies' sustainability claims.

The findings contribute to the existing body of knowledge on green consumption by shedding light on the complex dynamics between moderating factors and the transition from intention to behaviour in sustainable fashion consumption.

Businesses embark on cause-related marketing (CRM) initiatives as a marketing strategy to fortify consumers' behavioural intentions. Prior research indicates that human values could be tapped to understand the consumers' responses to perceived organizational motives behind undertaking social cause initiatives. This research employs Schwartz's theory of human values to examine consumers' patronage intentions towards CRM-linked fashion products. Moreover, fashion leaders play a crucial role in the diffusion of the latest fashion and fashion trends. This research investigates by integrating human values and fashion leadership, offering insights into CRM-linked fashion consumption motives.

The overarching goal was to investigate the complex interplay between human values and female fashion leadership to predict CRM patronage intention (CPI). Hence, a large-scale research study on 2,050 samples was undertaken by adopting threefold partial least squares–multigroup analysis–artificial neural network (PLS-MGA-ANN) to establish and empirically test a comprehensive model.

This study is unique as it establishes and validates the relative or normalized importance placed on human values by fashion leaders, thereby predicting CPIs. The results revealed that women with high-fashion leadership and specific value types (benevolence, universalism, self-direction) are more likely to patronize CRM-linked fashion retailers. In addition, the findings validated that women with low-fashion leadership and specific value types (tradition, security, conformity) are more likely to patronize CRM-linked fashion stores.

The findings provide a valuable rationale to non-profit marketers, fashion marketing experts and practitioners to design customer value-based profiling and manage crucial CRM decisions.

The objective of this paper is to synthesise the published literature on consumer awareness and acceptance of Sustainable Fashion (SF) and highlight that sustainability decisions taken across procurement, designing, manufacturing and retailing must include the consumer perspective of SF.

Systematic Literature Review (SLR) on sustainable fashion combined with consumer behavior was conducted. The study approach involved descriptive analysis, content analysis and theoretical analysis in the first section. The later sections focus on sustainability practices across the apparel supply chain that can foster acceptance of sustainable fashion.

In this review paper, five solutions that are typically used for leveraging consumer awareness and acceptance towards sustainable fashion are identified from the latest research papers: (1) attention to micro-sensitive factors (2) shared responsibilities (3) repositioning sustainable fashion for larger audience (4) positioning conscious fashion and (5) unified approach. These solutions are proposed as most important for achieving success in sustainable production and sustainable consumption (SPSC) for the fashion industry. Further, suggestions for how to embed sustainability related business decisions across sourcing, designing, manufacturing, distribution and recollection and retailing are also provided.

Through this research, a clear view emerges of the progression of publication and where future research should be directed to popularise sustainable fashion among consumers. Research findings and proposed solutions will be valuable inputs for brand managers, marketers and retailers as they conceive new plans and make decisions about addressing sustainability challenges in textile and apparel manufacturing firms.

This is a first of its kind of study on sustainable fashion that highlights the importance of understanding consumer behaviour in influencing sustainability decisions required across sourcing, designing, manufacturing and retailing to achieve substantial economic advantages in the fashion industry. End-to-end supply chain processes (i.e. procurement, design, manufacturing, marketing and retailing) are considered to identify several factors that influence consumer behavior in favor of sustainable fashion throughout the supply chain.

Plus-size women represent a large consumer segment that has grown in popularity with the fashion industry, retailers and advertisers. Despite advancements in clothing availability for plus-sized women, the shopping experience for these women (compared with that of straight-size women) often still falls short. The current experience leaves plus-sized women feel like a second-class, minority group despite the fact that the majority of women in USA are considered plus-size. The purpose of this study was to assess how US-based, value- and mid-market online clothing retailers position their plus-size female clothing sections in their site navigation.

This study assessed the websites of N = 68 popular plus- and straight-sized US-based, value- and mid-market retailers to evaluate the placement of, and options available in, their plus-sized clothing sections.

Findings revealed that the majority of retailers completely separated out the plus-sized section from the straight-sized section and that the language used to describe plus-size clothing was body-focused (versus clothing-focused for straight-size clothing sections). Theoretical and practical implications for marketers, advertisers and retailers are discussed.

This is the first study to assess the separation of plus- and straight-sized clothing sections in online retail spaces. As brands begin to consider combining plus- and straight-sized clothing sections (see Old Navy), it is important to assess how wide-spread the separation of sections currently is in online retail environments.

The primary purpose of this study is to examine the relationship between conumers' emotional attachment towards fashion apps and positive behavioral outcomes, such as e-WoM and repurchase intention. The study also aims to explore how e-servicescape, customer experience and perceived value of online shopping influence this relationships.

The study has used quantitative research methods to collect data from a sample of 484 consumers who had previous experience of purchasing using fashion apps. Data were collected from university students enrolled in university in Gujarat, India using an online self-administered questionnaire. The data are analyzed using structure equation modeling to determine the relationships between the variables under investigation.

The results demonstrate relationships between e-servicescape, customer experience and perceived value of online shopping, emotional attachment and the two consumer outcomes: repurchase intention and e-WoM. The study found support for hypotheses 1, 2 and 3, highlighting the influence of e-servicescape, customer experience and perceived value of online shopping in developing emotional attachment with fashion apps. The study also confirmed hypotheses 5 and 6, which suggest that consumers who have a stronger emotional attachment to fashion apps are more likely to intend to repurchase fashion products and engage in positive electronic word-of-mouth behavior for fashion brands.

In today's digital age, fashion apps are vital for fashion retailers to remain competitive and offer their customers a smooth and immersive shopping experience . Given the potential impact of fashion apps on the customer behavior, it is essential to investigate the relationship relationships between e-servicescape, customer experience and perceived value of online shopping, emotional attachment and the two consumer outcomes: repurchase intention and e-WoM in the context of fashion apps. The findings of the study are expected to contribute to the understanding of consumer behavior in the context of fashion apps and e-commerce more broadly. The results may also provide insights into how fashion retailers can improve their online presence and customer experiences to increase emotional attachment and positive behavioral outcomes.

The results of this study have several implications for online retail managers and fashion app developers. The study provides strong support for the idea that the extent to which online customers feel emotionally attached to fashion apps is strongly related to their e-WoM and repurchase intention. Moreover, the results of the study suggest that online retailers who are looking to cultivate emotional connections with consumers through fashion apps should prioritize three key areas: e-servicescape, customer experience and perceived value of online shopping.

Integrating demand with supply has always been an evolving research area, which is affected by different factors including, but not limited to, sustainability, changing consumer demands and emerging supply chain practices. However, most of the research targeted developed countries due to better data access and enhanced information visibility. The research on supply and demand integration in Saudi Arabia is still in its infancy. This study explores this gap by providing a comprehensive analysis of demand and supply chain integration in the context of sustainability. This is done by first creating a developing countries-based research framework and then validating it through surveying 162 Saudi companies operating in multiple sectors like food, fashion and retail. Results suggest that there is more emphasis on supply-side factors relative to demand-side factors in the context of integration. Demand side factors only marginally impact waste reduction efforts. Similarly, the food sector is most sensitive to integration efforts attaching high importance to sustainability and efficiency initiatives. These results can be a useful guide for managers and policymakers who are planning and executing at the interface of demand and supply chains in developing countries.

Cross-sector analysis by survey questionnaire of 162. Descriptive statistical analyses were performed on the data for the study participants. Continuous variables were summarised using mean and standard deviation (SD), median and IQR; and proportions were used for nominal and ordinal variables. A total score measuring perception of employees towards supply–demand integration was analysed and compared by company-related factors (sector/industry, length of service in firm (years) and the number of employees). Comparisons were made using the chi-square test or ANOVA. A linear regression model was utilised to examine the independent effect of supply and demand side factors on employees' perception of integration. The model controlled for the sector, length of service and number of employees. Statistical significance was considered at p < 0.05.

The linear regression results showed that supply items significantly predicted integration. That is, higher supply–demand integration scores were significantly related to indicators for using supply variables in supply chain management (SCM) improves operational efficiency (OE), integrating supply variables at the execution stage reduces overall waste and including at least one supply-side variable in supply planning (p < 0.05). The indicator for integrating demand variables at the execution stage reduces overall waste was only marginally related to an increased integration scores (p = 0.089). Lastly, a significantly better perception of supply–demand integration was reported by employees in the food sector compared to those in the fashion sector (p = 0.018). Length of service or number of employees in the firm was not related to perception towards supply–demand integration.

Though accessing 162 companies in the Saudi market is a significant sample size given the fact that they are quite conservative in sharing supply and demand information. However, for better generalisation and richer insights, more sectors like manufacturing, oil and gas and hospitality should be added in future. Cross-country analysis from developing countries can be another interesting future direction.

This empirical paper draws its strength from the scale and depth of empirical data collected from Saudi companies belonging to multiple sectors to better understand demand and supply chain integration, especially from sustainability and waste reduction. This is true in the era of the pandemic and its associated risks for both upstream and downstream. The developing countries' perspective is important as not enough is written in the literature given the difficulties in accessing the information and subsequent analysis. The insights are bound to be unique as a consumer in these countries is undergoing significant socioeconomic changes affecting the supply chain of the companies.

This paper aims to analyze the ethical responses of the fashion industry to the first wave of the COVID-19 pandemic when the entire world was shocked by the rapid spread of the virus. The authors describe lessons from emergency ethics of care in the fashion industry during the initial months of COVID-19, which can assist fashion managers in improving ethical decisions in future operations.

Rapid qualitative research methods were employed by conducting real-time, in-depth interviews with key informants from multinational fashion companies operating in Spain, a severely affected region. A content analysis of news articles published during the first months of 2020 was conducted.

Five critical disruptions in the fashion industry were identified: (1) changes in public needs, (2) transportation and distribution backlogs, (3) defective and counterfeit supplies, (4) stakeholder relationships at stake and (5) managers' coping challenges. Additionally, five business survival responses with a strong ethics of care component were identified, implemented by some fashion companies to mitigate the damage: (1) adapting production for public well-being, (2) enhancing the flexibility of logistic networks, (3) emphasizing quality and innovation, (4) reinventing stakeholder collaborations and (5) practicing responsible leadership.

Despite the well-documented controversies surrounding unethical practices within the fashion industry, even during COVID-19, our findings inform managers of the potential and capability of fashion companies to operate more responsibly. The lessons learned can guide fashion companies' operations in a post-pandemic society. Furthermore, they can address other grand challenges, such as natural disasters, geopolitical conflicts and climate change.