The main objective of this study is to compare the difference of consumers’ perception on brand context. The focal factors are brand equity, brand personality and perceived customer value. This would enhance the knowledge of cross-cultural brand equity and brand personality, especially in Fast-Fashion industry. In addition, the findings of this study show that, for a brand in different marketing context, how customers perceive the brand and contribute it to their value. The sample size of 800 consumers is applied (400 Japanese consumers and 400 Thai consumers. The focal brand is randomly selected by the researcher. The Structural Equation Modelling with multiple group analysis would be conducted for examining the differences of consumer perception on a Fast-Fashion brand. All major model fits indicator would be evaluated. Finally, the results of the study would be discussed.

The purpose of this paper is to empirically examine factors affecting customers’ intention to buy apparels through mobile apps. The proposed model was evaluated using survey data collected from 304 mobile app users and assessed by structural equation modeling. Our study contributes to a theoretical understanding of mobile apps usage.

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

This paper suggests the product supply process model based on the store and production capacity, assortment planning and quick response for fast fashion retailers with BPMN. In the fast fashion industry, the standardized business process model is required