• Journal of Fashion Business
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• v.22 no.5
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• pp.15-31
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• 2018

The purpose of this study was to classify male consumers and examine their clothing consumption values and the perceived importance of store attributes. Using Internet-based research service, survey data were collected from 651 male consumers aged between 20 and 40. The questionnaire included questions regarding respondents' preference of different store types, clothing consumption values, perceived importance of store attributes. According to the results, the respondents were categorized into 5 distinct groups based on their store type preferences: discount store preference group, multi-channel preference group, store indifferent group, brand store preference group, online store preference group. Multi-channel preference group was the largest among these groups. The five store type preference groups statistically varied in clothing consumption values, i.e., epistemic value, brand/conspicuous value, and economic value. The groups also differed in the importance they placed in the store attributes of: service and product quality, promotion, fashionability, salesperson and store environment, store atmosphere, convenience, and website image. The results of this study have direct implication for retail marketers of fashion companies who are targeting male consumers. Marketers can apply findings of this study in implementing retail strategies for different types of stores.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.9
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• pp.952-965
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• 2012

This study verifies the constituents of the professional image by a quantitative method that follows previous qualitative work to clarify the conceptual structure of the professional image for appearance management in the workplace. This study used on-line and off-line data from a positive sampling that involved 1,056 male and female workers engaged in 10 occupational classes. The results of the study were as follows: First, the constituents of a professional image include openness, leadership, harmonious relationship, and financial power, all of which demonstrated a high interrelationship. Second, there are significant differences in favorable factors according to the occupational category. It is important to strategically manage the professional image in consideration of effective image factors and related appearance attributes.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.10
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• pp.1509-1521
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• 2008

The subjects of this study were middle-aged women in their 40s$\sim$50s and older women aged 60 and over who were living in Seoul and Kyonggi-do, Korea. Through studying the participants' responses to the questions regarding the attributes of apparel quality in terms of the levels of satisfaction and importance, the target consumers' demand has been studied. And, they are applied to a QFD Matrix, to find out the relationship between the attributes of product quality and the guidelines of clothing design. For this study, apparel product quality is composed of five parameters: practicality, aesthetics, brand image, ease of care and fit. For the parameters of apparel product quality, the result of this study show that product improvements are needed in fit, aesthetics and practicality(in order of importance). The level of satisfaction(how satisfied consumer feels) was marked higher in brand image than that of importance(how important it is). To review demands for the apparel product attributes of formal suits for middle-aged and older women, the priority of these attributes through QFD Matrix that shows the relationship between the attributes and dress elements emphasized by designers has been examined. Material was the most important design element in designing formal suits. The shape of the pants was the second because the harmony between the jacket and the pants is important in formal suits. These were followed by trim and color tone of the jacket.

• The Korean Journal of Franchise Management
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• v.8 no.1
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• pp.31-41
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• 2017

Purpose - As the domestic coffee market is rapidly growing and competition is intensifying, coffee shops need to establish a marketing strategy that grasps the needs and desires of consumers in order to secure a competitive advantage in terms of survival. From this point of view, this study suggests what choice attributes consumers consider when visiting coffee shops, and analyzes the effect of customer choice attributes on franchise and private coffee shops using fsQCA. Research design, data, and methodology - In the present study, we tried to understand the effect of the combination of choice attribute on satisfaction by the type of coffee shop based on the complex system theory, while studying the existing coffee shop choice attribute focuses on the causal relationship. FsQCA is a complementary analytical method between quantitative and qualitative research, and is a method for effectively analyzing the complex combination of causal variables. Result - The results of the study are as follows. First, cleanliness was found to be the most important factor in determining coffee quality, which is the most important factor affecting customer satisfaction. Second, customers who prefer franchise coffee shops seem to be most concerned about atmosphere, menu, cleanliness and price. On the other hand, customers who prefer private coffee shops consider image the most important. Conclusions - The implications of this study are as follows. Overall, coffee shops should manage cleanliness basically regardless of the type of store, but they should manage the choice attributes differently depending on the type of coffee shop. Franchise coffee shops will be able to increase the level of store satisfaction by systematically managing the store atmosphere, menu, cleanliness, and price according to the manual using the advantages of the franchise system. On the other hand, unlike the franchise coffee shops, private coffee shops can operate autonomous stores, so customers can use various marketing mixes to enhance their store image.

• Culinary science and hospitality research
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• v.22 no.4
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• pp.156-169
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• 2016

The purpose of this study is to verify relationships among attributes of ramen package design, ramen image, and chinese customer's choice of ramen. We chose, as a sample, ramen 'sour ramen', 'squid jjambbong', 'tasty ramen', 'noodle beef soup', and 'seasame ramen'. The findings and implications can be summarized as follows. first, while chinese customers chose 'sour ramen' as the most favorable ramen, followed by 'tasty ramen', 'squid jjangbbong', 'noodle beef soup', and 'seasame ramen', for ramen image they most highly evaluated 'sour ramen' followed by 'squid jjangbbong', 'tasty ramen', 'seasame ramen', and 'noodle beef soup'. Second, there is a significant difference in popularity and reliability of quality, but no significant difference in attractiveness and healthiness among most attributes of ramen package design. Third, compared to 'seasame ramen', the popularity and reliability of quality for 'sour ramen', reliability of quality for 'squid jjangbbong', reliabilty of quality, and healthiness for 'tasty ramen' had positive effect on choice, while attractiveness for 'noodle beef soup' had a negative effect on their choice.

• IEMEK Journal of Embedded Systems and Applications
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• v.19 no.1
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• pp.47-55
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• 2024

We spend a lot of time in indoor space, and the space has a huge impact on our lives. Interior design plays a significant role to make an indoor space attractive and functional. However, it should consider a lot of complex elements such as color, pattern, and material etc. With the increasing demand for interior design, there is a growing need for technologies that analyze these design elements accurately and efficiently. To address this need, this study suggests a deep learning-based design analysis system. The proposed system consists of a semantic segmentation model that classifies spatial components and an image classification model that classifies attributes such as color, pattern, and material from the segmented components. Semantic segmentation model was trained using a dataset of 30000 personal indoor interior images collected for research, and during inference, the model separate the input image pixel into 34 categories. And experiments were conducted with various backbones in order to obtain the optimal performance of the deep learning model for the collected interior dataset. Finally, the model achieved good performance of 89.05% and 0.5768 in terms of accuracy and mean intersection over union (mIoU). In classification part convolutional neural network (CNN) model which has recorded high performance in other image recognition tasks was used. To improve the performance of the classification model we suggests an approach that how to handle data that has data imbalance and vulnerable to light intensity. Using our methods, we achieve satisfactory results in classifying interior design component attributes. In this paper, we propose indoor space design analysis system that automatically analyzes and classifies the attributes of indoor images using a deep learning-based model. This analysis system, used as a core module in the A.I interior recommendation service, can help users pursuing self-interior design to complete their designs more easily and efficiently.

• Journal of Distribution Science
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• v.14 no.6
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• pp.17-26
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• 2016

Purpose - The purpose of this study is to measure the effect on the attributes for store selection and Korean government regulations for large retailers on consumption emotion. Research Design, Data, and Methodology - Using SPSS ver.22, factor analysis & Cronbach's alpha, correlation, and regression test were performed. The total of 287 questionnaires were used for the analysis Result - Familiarity, perceived price, and perceived image have a positive effect on consumption emotion, but perceived quality & service did not. The Consumption emotion had a positive effect on traditional market revisit intentions. Retail regulation preference has a mediate effect between consumption emotion and familiarity & perceived price. Retail regulation preference also has a mediate effect between consumption emotion and traditional market revisit intension. Conclusion - Relationship marketing with sincerity is very important to keep familiarity, perceived price and image. People's consumption trend was changed due to dual career couple and heavy traffic jam in big cities. Therefore, a retail regulation cannot be a right solution for revitalizing traditional markets. So we need to find out an actual situation and design a win-win strategy between large retailers and traditional market.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.483-491
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• 2016

This study aims to consider the display method of the STA information that holds aesthetic cultural distinctiveness with the capability of immediate recognition of information in the relationship between the exposed time and the degree of cognition. As an consideration on the display method of information in an efficient way according as 'information attributes', the purpose of this study is to identify the visualization attributes of the STA information and to seek out display methods accordingly. Based on the information design and cognitive psychology, the cognitive features of the STA information have been identified and four visualization attributes of the STA information have been found based on the preceding studies on the information attributes in line with the relationship between exposure frequency and the level of awareness. In terms of information recognition, a metaphor, metonymy, use of indexical image and context, rhetoric, and Mnemonic have been proposed as major display methods for 'Understandable' and 'Conciseness', which are the major visualization attributes of the STA information while humor, parody, distinctiveness, friendliness, kitsch, formative beauty and newness have been suggested as the major display methods of 'Relevance' and 'Valuable', which are the major visualization attributes from the perspective of sensitive perception of information. Based on the results of this study, I'm planning to come up with display methods and to proceed with analyzing the relationship of the degree of cognition in association with context.

• Journal of Korean Institute of Industrial Engineers
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• v.30 no.4
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• pp.338-345
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• 2004

Personal Digital Assistants (PDAs) have become ubiquitous and continued to gain popularity. Since PDAs have some special contexts such as mobility and limited screen size, icons are utilized frequently because icons allow us to do tasks more rapidly and effectively on PDAs like another information appliances. The study presents a cognitive approach to study human factors affecting icon design with multidimensional Scaling (MDS) analysis. In the experiment, a real PDA was used to investigate 29 attributes and2 preference ratings for 22 PDA icons by 20 Korean subjects. As a result, cognitive positioning about icons, attributes, and preference data were arranged on the two dimensional perceptual map. Attributes were grouped by simplicity, universality, activity, complexity, abstraction, static, and alphanumeric time. Subjects preferences were highly related with simplicity attributes group and positive to universality and activity attributes groups. It was also confirmed that there are some icons unfitted to the mental model of Korean. However, when icons are designed for PDAs or similar information appliances to Korean, it should be designed simply and actively with universal image fitted on target users mental model.

• Journal of Distribution Science
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• v.14 no.8
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• pp.9-21
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• 2016

Purpose - This research analyzes the impact of motivations to dine out and selected attributes of customers on customer satisfaction and loyalty. Based on collected data, this study aims to suggest effective marketing strategies to help manage traditional Korean food restaurants. Research design, data, and methodology - The data were collected from the customers who visited traditional Korean food restaurants in Jeon-Ju for two months from December, 2015. The available data were 402 from collected 450 customers' data and they were analyzed by using SPSS 19.0. Result - These are the results of data analysis. First, environmental, personal and perceived factors influence on the motivations to dine out at Korean food restaurants which affect customer satisfaction. Next, selected attributes from Korean food restaurants have impacts on customer satisfaction. Third, motivations to dine out Korean food restaurants affect customer loyalty. Moreover, physical environments, curiosity and need satisfactions, which are the selected attributes, have impacts on customer loyalty. Lastly, it has been identified that customer satisfaction in Korean food restaurants influences customer loyalty. Conclusions - Satisfaction and good brand image of Jeon-Ju will increase customers' intention to revisit. This study has found that high customer satisfaction leads to re-visitation.