• The Research Journal of the Costume Culture
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• v.13 no.4 s.57
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• pp.564-575
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• 2005

The purposes of this study were to investigate the effects of shopping orientation on fashion shopping mall environments and purchase intention in internet fashion shopping mall. Data were obtained from 423 internet fashion shopping mall consumers who have experiences of buying products or visiting to internet fashion shopping mall in Busan, and were analyzed using by factor analysis, Cronbach's alpha, cluster analysis, ANOVA and Duncan test. The results showed shopping orientation perceived by Internet fashion shopping mall consumers were consisted five factors: Brand loyalty orientation, Economical orientation, Fashion orientation, Time saving orientation and Internet shopping orientation. Internet fashion shopping mall environments were composed of Visual information, Loading speed, Space composition, Product assortment, Checkout service, and Help desk. Consumers were classified by the shopping orientation into the Economical shopper, Fashion/brand shopper, and Convenience shopper. Economical shopper and Fashion/brand shopper rise in the estimation of Visual information, Product assortment, and Checkout service of shopping mall environment. Additionally, they were likely to have more intentions to purchase than the other types of shoppers in internet fashion shopping mall.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.185-194
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• 2020

The study aims to identify and measure factors affecting the perception of the selling price of luxury apartments in Hanoi. We conducted a questionnaire consisting of 29 observation variables with a 5-point Likert scale. Independent variables were measured from 1 "without effect" to 5 "strongly". Based on the desk review and results of interviews, a total of 500 questionnaires were sent to research participants for collection; 458 of them met standard and were subject to be analyzed. This study employs Cronbach's Alpha test, and regression model. The results of Exploratory Factor Analysis (EFA) and Multiple Regression Analysis (MRA) identify five main determinants influencing the perception of the selling price of luxury apartments in Hanoi, including Physical characteristics of a luxury apartment (PC); Location and position of an apartment (LP); Surrounding Area (SA); Quality of service provided by managers; (QS) and Demographics factor (DF). Based on the findings, some recommendations have been proposed to help the firm leaders design appropriate personnel policies for creating better price satisfaction for customers in the future. On this basis, the authors propose a number of recommendations to improve the quality of luxury apartments, thereby contributing to the development of the market for luxury apartments in Hanoi.

• Journal of the Korean Home Economics Association
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• v.43 no.7 s.209
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• pp.117-128
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• 2005

The purposes of this study were 1) to examine the conceptual structure of shopping value, fashion shopping mall attributes and emotions related to internet shopping, 2) to compare between hedonic consumers and utility consumers of fashion shopping mall attributes, emotions and purchasing intention and 3) to investigate the effects of shopping value, fashion shopping mall attributes, emotions and purchasing intention on purchasing behavior in internet fashion shopping malls. Data were obtained from 423 internet fashion shopping mall consumers who have bought products or visited an internet fashion shopping mall. The data were analyzed by using factor analysis, Cronbach's alpha, t-test and discriminant analysis. The results showed that shopping values perceived by internet fashion shopping mall consumers consisted of two factors: Hedonic value and Utility value. Internet fashion shopping mall attributes were composed of Visual information, Loading speed, Space composition, Product assortment, Checkout service and Help desk. Emotions were composed of Excitement Confidence, Displeasure and Uneasiness. There results demonstrated that hedonic consumers were more likely to perceive the factors of fashion shopping mail attributes, to experience various, emotions and to have more purchasing intention than utility consumers. Additionally, the findings suggest that shopping value is important in predicting the purchasing behavior of consumers' at internet fashion shopping malls. They gave insights into the promotion development of internet fashion shopping malls. Implications are drawn for the information useful to consumer behavior researchers and retailers of internet fashion shopping malls.

• Science of Emotion and Sensibility
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• v.11 no.4
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• pp.629-636
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• 2008

In recent years, a large number of robots have been developed in several countries, and these robots have been built for the purpose to appeal to users by well designed human-robot interaction. In case of the robots developed so far, they show proper reactions only when there is a certain input. On the other hands, they cannot perform in a standby mode which means there is no input. In other words, if a robot does not make any motion in standby mode, users may feel that the robot is being turned-off or even out of work. Especially, the social service robots maintain the standby status after finishing a certain task. In this period of time, if the robots can make human-like behavioral patterns such like a person in help desk, then they are expected to make people feels that they are alive and is more likely to interact with them. It is said that even if there is no interaction with others or the environment, people normally reacts to internal or external stimuli which are created by themselves such as moving their eyes or bodies. In order to create robotic behavioral patterns for standby mode, we analyze the actual facial expression and behavior from people who are in neutral affective emotion based on ethnographic methodology and apply extracted characteristics to our robots. Moreover, by using the robots which can show those series of expression and action, our research needs to find that people can feel like they are alive.