Smart healthcare clothing combines IoT, new technology, and clothing construction to perform specific care functions, and its utility has been expanding rapidly within aging and diversified societies. However, the related market remains at an early stage of development due to limited regulation, lack of consumer awareness, and the need for not only technical development but promotion plans for potential users. This paper aims to analyze factors influencing purchase intention for smart healthcare clothing with biosignal monitoring, including variables in the Technology Acceptance Model (TAM), clothing attributes, health-related lifestyle factors, and fashion innovativeness. A survey was conducted on a sample of 300 males and 300 females ranging in age from 20 to 50 years, and data were analyzed using SPSS 21.0. The results show that perceived usefulness, perceived aesthetic attributes, health responsibility, and fashion innovativeness were overall significant predictors of using smart healthcare clothing. Additionally, perceived ease of use and physical activity in the male subsample, and perceived compatibility within the female group, also had significant effects. Furthermore, age was a determining factor; for subjects in the 30s age group, perceived usefulness, compatibility, and health responsibility had significant positive associations. The results of this study can provide basic guidelines for designing merchandising plans to expand user acceptance of smart healthcare clothing.

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.

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 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