The purpose is to propose and test the model for measuring the reputation of fashion brands. In order to test the model, 10 in-depth interviews with 10 Spanish Fashion CEOs and top managers were conducted. The findings validated variables: brand awareness, product and service quality, brand affect, self-congruence and sustainability and provided social networking as the new variable and removed the financial performance variable.

This research develops an under-investigated aspect of the business literature regarding firm-created and user-generated social media communication and their influence on purchase intention of endorsed fashion products. The results indicate that (i) brand equity mediates the relationship between social media communication and purchase intention of endorsed fashion products, and (ii) the mediational role of brand equity is further moderated by the consumer’s self-congruity with fashion brands.

Digital signage in a smart store would engage and invoke responses from consumers because good in-store experiences are more important than ever. Thus, the present study investigates consumer perceptions of interactive digital signage integrating technology acceptance model. Specifically, the current study examined 1) the effects of personal and fashion innovativeness on interactivity; 2) the effect of interactivity on perceived usefulness, ease of use, and enjoyment; and 3) the effects of perceived usefulness, ease of use, and enjoyment on intentions to use the products and the store, visit the store, and engage in word-of-mouth. As a pre-study, two researchers visited the smart stores of six brands in Seoul, all of which integrate various technologies in the fashion field. A video clip was developed as a stimulus to the study. A total of 214 responses were gathered and analyzed. The results were as follows. Personal innovativeness has a significantly positive effect on interactivity, whereas fashion innovativeness has no significant effect. Interactivity had positive effects on the perceived usefulness, ease of use, and enjoyment. Consumer responses (i.e., intentions to use, visit, and engage in word-of-mouth) were predicted by usefulness and enjoyment, but not by ease of use. The findings of this study could provide the fashion industry and retailers practical and valuable insights into enhancing consumers’ in-store experiences through the use of interactive digital signage.

This study explores determinants of purchase intentions for vegan fashion products based on the modified planned behavior model. Survey data from 434 university students were subjected to an analysis using descriptive statistics, factor analysis, and structural equation modeling. The results showed that almost half of the consumers surveyed recognized vegan fashion products and a little more than a half of consumers surveyed had purchase experience for vegan fashion products. Clothing, bags, and shoes are the most frequently purchased vegan fashion product categories. From the results of the model test, purchase intentions on vegan fashion products were determined by attitude, subjective norms, ethical responsibility, and ethical identity of the consumers. When consumers have a more positive attitude, have higher subjective norms, stronger ethical responsibility, and stronger ethical identity regarding the purchase of vegan fashion products, they are likely to have a greater intention to purchase vegan fashion products. The findings contribute to the literature by adding test results for vegan fashion products among the ethical product categories, highlighting the importance of the consideration of product category, which can give somewhat different results when exploring ethical consumption. Based on these findings, marketers need to use special tags or signage highlighting the ethical values and meanings of vegan fashion products to better communicate with target consumers with a high level of ethical responsibility and to help increase consumers’ control over purchase behaviors through reducing barriers generated by insufficient product information.

Sustainability was first presented in 1972. It was how biological systems remain diverse and productive indefinitely. Long-lived and healthy wetlands and forests are examples of sustainable biological systems. Now, people do not only focus on economy but also focus on social, environment and culture. In this paper we try to find out how to build sustainability index based on customers’ perception of companies’ sustainable performance in fashion industry. The index was explored based on American Customer Satisfaction Index. Through testing the sustainability performance of fashion industry using sustainability index this study tries to find out how customers were affected by fashion companies sustainability performance and how to improve customer repurchase intention through sustainability performance.

Using the extended technology acceptance model (TAM), the study aimed to understand consumers’ adoption process for smart fashion products. The research model was designed to examine the impacts of perceived ease of use and usefulness on attitude and behavior intention toward smart fashion products based on the technology innovativeness, enjoyment, and subjective norm variables. An online survey was conducted on consumers by employing a marketing research company. A total of 230 useable responses were obtained. Confirmatory Factor Analysis (CFA) was performed to test the measurement model. The proposed hypotheses were tested by employing the Structural Equation Model (SEM). The results found a positive impact of perceived ease of use on usefulness and a positive influence of usefulness on attitude and behavior intention. Attitude had a positive effect on behavior intention. In addition, technology innovativeness was found to have a positive influence on perceived ease of use and enjoyment had a positive influence on usefulness and attitude. Subjective norm predicted behavior intention. The findings of the study contribute to smart fashion literature and have important implications for smart fashion product developers and marketers, as they offer insights into the important role of technology innovativeness, enjoyment, and subjective norms perceived by consumers in improving attitudes and behavior intentions toward the products. Limitations and future research directions are discussed.

The purpose of this paper is to examine affluent consumers’ emotions and loyalty toward luxury fashion brands’ flagship stores. A total of 138 participants were recruited. The results show product quality and other customers’ behaviors are the two factors that can affect affluent customers’ positive and negative emotions.

This paper utilizes a categorical approach, proposing and validating a comprehensive model that facilitates the understanding of the structure of the luxury fashion industry through the lens of the consumer. It explores the value dimensions of luxury fashion products and clarifies the confusion that is evident in the earlier luxury literature.

Fashion is primarily based on adoption of trends by consumers in textiles, clothing, footwear, jewelry and art, inter alia. As fashion is based on human preferences, it is characterized by dynamic changes throughout seasons and years, short life cycles, low predictability and high volatility of demand and impulse purchases. In the dynamic environment of apparel markets, fashion firms aim at successfully forecasting both the desirability of new collections and the volumes of each item produced and released to the market under terms of substantial levels of uncertainty. When demand for an item exceeds its supply, the firm is likely to lose additional profits that could have been collected had a sufficient volume of this item been present in the market. Alternatively, if the supply of an item surpassed its demand, it would remain unsold, thereby generating loss equal to its marginal production and distribution costs. The paper proposes a forecasting model that enhances the accuracy of fashion trend forecasting in the context of multiple variants of colour clothing. The model aims at maximizing profits of the firms, while minimizing the forecasting error and reducing the costs that result from excess capacity of production or, alternatively, from loss of potential revenues due to low demand.

The purpose of this study is to analyze the factors that lead to continuous use intention of SNS marketing. The research model was designed to investigate the SNS factors that affect use intention based on TAM (Technology Acceptance Model) suggested by Davis (1986). The survey focused on age twenties to thirties male and female who had experience in receiving fashion brands message through Facebook. 329 questionnaires were used to analyze the results of study, and SPSS 12.0 was used to conduct factor analysis, reliability analysis, and multiple regression analysis. The results of this research are as follows. First, interaction/playfulness, information, reliability, and convenience of access were extracted as the characteristics of fashion brands SNS marketing. Second, all SNS factors had significant relation on perceived usefulness. But only interaction/playfulness and convenience of access showed significant relation on perceived ease of use. Third, perceived usefulness and perceived ease of use affected continuous use intention. Forth, continuous use intention had significant relation on brand attitude and showed direct and indirect significant relation to purchase intention.

The purpose of this study is to apply the expectancy disconfirmation model to consumer post-purchase behavior toward fast fashion brands. This study incorporated repurchase intention as a result of consumer satisfaction. It was hypothesized that consumer satisfaction, which is influenced by expectation, perceived performance, and disconfirmation, influences repurchase intention. It was also hypothesized that expectation influences performance. This study examined the brands and prices of the most recent purchases of fast fashion and also examined whether the purchases were planned or unplanned. The hypothesized path was tested and the relative influences of instrumental and symbolic performance on satisfaction were identified. Data were collected from questionnaires answered by 344 university students who were selected by convenience sampling. The results were as follows: 1) Purchased brands were, in the order of frequency of purchase, Uniqlo, Zara, H&M, and Forever21, followed by domestic brands, 8seconds, Spao, and Mixxo. The frequency of unplanned purchase was more than twice higher than planned purchase. 2) Based on expectation and performance, dissatisfactory group was larger than satisfactory group, which were 35.8% and 24.7% respectively. 3) It was revealed from the expectancy disconfirmation model analysis that expectation and performance had positive influence, but cognitive dissonance had negative influence on satisfaction. Satisfaction had significant influence on repurchase intention. The path analysis showed that all hypothesized path coefficients were significant. The results suggest some effective marketing strategies for marketers in the fast fashion industry.

The established supply chain format has been radically changing from a three-month production to a shortened lead-time in the fashion industry. The faster pace of fashion trends, changing consumer lifestyle, and consequent demands for newness have been mainly attributed to the rapid development of high-tech information systems and mass communication. In particular, global fast-fashion leaders have become more successful by producing not as was initially planned and forecasted, but with an agility subject to customer responses. Latest customer trends are captured quickly, and production and distribution is steered to meet the response. In order to further maximize benefits and efficiency in a sustainable manner, the fast-fashion industry is seeking a production optimization model under which product attributes are defined in a short period of time, and an optimal quantity of products by style is produced. This paper aims to provide an optimal production quantity which subsequently requires an optimal parts procurement from the perspective of the supplier. This is obtained in order to minimize the cost function by identifying cost factors through an economic analysis technique. In this study, we propose a model for optimal production and its parts procurement to maximize target sales and profits by taking inventory and pricing into account.

This paper proposes a computation model of the quantity supplied to optimize inventory costs for the fast fashion. The model is based on a forecasting, a store and production capacity, an assortment planning and quick response model for fast fashion retai