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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.

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 study investigates the factors that influence young consumers (Gen Zs and Ys) in emerging markets to engage fashion ads of non-luxury fashion retail small- to medium-size enterprises (SMEs) on social media. Through a desk assessment of practice and the phenomenon's available evidence in the extant literature, four main drivers were delineated, reviewed and subsequently tested to influence young consumers' behavioural engagements of emerging markets' fashion SMEs' social media contents.

A non-probability sample of 1,150 respondents (Gen Y and Z combined) in Ghana, an emerging market, formed the sample for the study. The respondents assessed four empirically identified antecedents (sales campaigns, relevant sales-related information, catchy and inspiring product/brand photo/video and consumer-generated contents) that are likely to influence their behavioural engagement on social media platforms (Instagram, Facebook, WhatsApp and Twitter). SmartPLS (version 3.3.3) was employed to perform partial least square structural equation modelling.

The results showed that to engage fashion-related ads, particularly from non-luxury fashion SMEs, young consumers consider sales campaigns, cues from consumer-generated contents, as well as quality and inspiring videos and photos. Less attention is given to relevant sales-related information.

The three significant drivers of engagement found in the current study provide managerial knowledge for non-luxury fashion SMEs in emerging markets. Videos and still pictures must be of high definition and quality. Short and long promotional campaigns may drive positive behavioural engagements. Interactivity between fashion SMEs and young consumers is encouraged as it precipitates the positive engagement behaviours enabled by social media. The study concludes with actionable recommendations for the non-luxury fashion SME sector in emerging economies.

The study is the first of its kind to ascertain what drives young consumers' engagement with non-luxury fashion SMEs on social media. It provides managerial insights and guidance to SMEs in emerging markets on effective social media fashion retailing targeted mainly at digital natives, the dominant generational cohorts on social media in most emerging economies.

The purpose of this study is to examine the impact of fashion influencer measures on consumers' purchase intentions and the mediation of attitudes to understand the phenomenon of influencer marketing in the backdrop of the fashion industry.

The present study employs a conceptual model based on extended theory of planned behaviour (TPB) with added perceived trust. Data were collected from 341 participants from different regions of the country and analysed using direct path analysis and mediation technique.

The study found that attitudes toward fashion influencers are positively influenced by perceived trust, subjective norms and perceived behavioural control. However, perceived behavioural control is not directly related to purchasing intents in the research model. The results confirmed that attitudes have a positive association with purchase intentions both directly and indirectly (partially mediation).

The study advocates market practitioners and advertisers to acknowledge the increasing importance of influencer marketing and the promotion of their fashion offerings in the setting of emerging fashion industry.

The present study adds crucial value to enhance the understanding of fashion influencer marketing in the Indian context. This research offers several insights into the continually growing knowledge domain of influencer marketing by predicting the direct relationships with purchase intents and the mediation of attitudes.

To investigate (1) the relationship between young adults' behavioural brand loyalty (BBL) and Japanese fashion companies' financial performance (FP) and (2) FP improvement from the perspectives of social media brand engagement (BE) and loyalty programmes (LPs) by applying the complexity theory.

A mixed methodology was employed by combining qualitative and quantitative approaches to examine the prediction of outcomes by various variables in a realistic context. The integrated model associated BE and LPs with BBL and FP, which are essential for fashion companies. We selected 14 fashion brands belonging to 14 publicly traded Japanese fashion companies and surveyed 183 Japanese consumers (aged 18–25 years) who chose these brands as their favourites, engaged with the brands and participated in LPs.

The findings reveal the positive and negative effects of the variables (BE and LP) on the outcomes (short- and long-term FP). They offer marketing implications regarding brand strategy and financial improvement by considering various combinations of causal factors and complex situations, such as the fashion brands' and consumers' characteristics.

Existing empirical studies consider consumers' symmetric reactions to the benefits and losses from variables (BE, LP and BBL) but do not realistically reveal the negative and positive effects on outcomes (FP). This study addresses this gap by applying the complexity theory and offers multiple solutions to target different consumer types to predict high FP.

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.

The study aims to analyse the possibilities of positioning the anti-consumption through different communication appeals. It analyses commercial and social marketing campaigns in the global context, with the aim to recommend communication guidelines to empower anti-consumption among different industries.

The study conducted a qualitative content analysis of marketing communication focused on anti-consumption promotion.

The results bring a comprehensive overview of possible communication appeals of anti-consumption and prove feasibility of their implementation. The analysis of used appeals leads to recommendations for developing effective marketing communication for promoting anti-consumption.

The recommendations can serve both for-profit and non-profit organization as a showcase to discover the idea of anti-consumption as communication appeals. By empowering anti-consumption, consumers could reach personal welfare and participate in social equilibrium. Also, the study brings recommendations for further research considering the evaluation of the implemented strategies.

The study covers a gap in published literature focusing on comprehensive analysis of existing anti-consumption marketing communication strategies and appeals and brings an overview of potential strategies for empowering anti-consumption among modern consumers.

The purpose of this study was to understand factors affecting market mavens' use of social media for fashion-related information provision. The study examined market mavens' motivations to share fashion-related information. Specifically, this study investigates the impact of their motivations (i.e. pleasure from helping, a sense of obligation) and technology acceptance model variables (i.e. beliefs about and attitude toward using social media) on intention to use social media for sharing fashion-related information.

An online survey yielded 862 responses from US female respondents. A subset (N = 307) representing those high in market mavenism was used for the study. Structural equation modeling was employed for the analysis.

The results confirmed that market mavens were driven by pleasure from helping and a sense of obligation to share fashion-related information. These motivations and attitude toward using social media to disseminate fashion-related information positively influenced market mavens' intention to use it to disseminate fashion-related information. Furthermore, belief variables (i.e. perceived usefulness, ease of use and enjoyment associated with social media) indirectly impacted this intention.

The study adds to the scant research examining market mavens' motivations for sharing fashion-related information with others and their intention to use social media. It provides valuable insights for fashion retailers looking to enhance the impact of social media marketing through the deployment of market mavens – very knowledgeable, motivated and trusted consumers.

The purpose of this study is to investigate the influence of augmented reality (AR) media characteristics on consumers’ purchase intention (PI) for fashion goods within the fashion industry context.

This study establishes five independent variables of salient AR media characteristics derived from existing studies which includes interactivity, vividness, augmentation, simulated physical control and environmental embedding. A quantitative online survey method is conducted with a sample of 172 respondents.

The findings suggest that all five AR media characteristics have a positive and significant influence on consumers’ PI for fashion goods. Among these five characteristics, interactivity and simulated physical control have the strongest positive impact on PI, followed by vividness, environmental embedding and augmentation.

This study provides valuable insights for fashion brands to better understand the media characteristics that consumers may be looking out for in AR experiences that could have an influence on their PI for fashion goods. This study also contributes to the literature by identifying the most influential AR media characteristics in the context of the fashion industry.