• Fashion & Textile Research Journal
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• v.20 no.4
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• pp.389-399
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• 2018

The purpose of this study was to investigate the differences of sociocultural attitudes toward appearance, clothing and cosmetics purchasing behaviors according to male consumer's age group. The research method was survey and subjects were 656 male consumers. The results were as follows. First, three factors (appearance importance awareness, appearance internalization, and slimness importance awareness) were emerged on sociocultural attitudes toward appearance. Young age group showed higher level of appearance importance awareness and internalization than middle age group. Second, there were many differences on clothing purchasing behaviors by age variable. Young age group more importantly considered psycho-social purchasing motives, aesthetic selection criteria, and the internet as information source and purchasing place than middle age group. Whereas middle age group more importantly considered practical purchasing motives, practical selection criteria, and store display & salesman as information sources, and fashion outlet as purchasing place than young age group. Third, there were also many differences on cosmetics purchasing behaviors by age variable. Young age group used more and various cosmetics, and they more importantly considered skin improvement as purchasing motive, skin suitability and price as selection criteria, the internet as information source and purchasing place than middle age group. On the other hand, middle age group generally used fundamental cosmetics, and they more importantly considered skin protection as purchasing motive, quality as selection criterion, TV and store display & salesman as information sources, and discount store and cosmetics speciality store as purchasing places than young age group.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.6
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• pp.213-220
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• 2018

This paper deals with survival facility location problem(SFLP) that the store with less of demand threshold level is closed result from another new establishment of store in the same kind of comparative firms have a monopoly market. We will be faced with a difficult problem when a new establishment stores in market saturation that the closed stores more than opening stores. Serra et al. proposes recursive heuristic concentration algorithm, and Han et al. suggests maximum insurance of customer location. But the drawback of these algorithms is a recursively computation for many locations. This paper get the solution from only neighborhood search of comparative firm's stores that can be maximum customers and closed comparative firm's store, and the location with minimum customer exchange to the location that can be closed the comparative firm's store with maximum customer. The advantage of this algorithm is to get the solution using a MS-Excel.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.17-22
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• 2022

With the spread of web services, data types are becoming more diversified. In addition to the form of storing data such as images, videos, and texts, the number and form of properties and metadata expressing the data are different for each data. In order to efficiently process such unstructured data, a key-value store is widely used for state-of-the-art applications. LSM-Tree (Log Structured Merge Tree) is the core data structure of various commercial key-value stores. LSM-Tree is optimized to provide high performance for small writes by recording all write and delete operations in a log manner. However, there is a problem in that the delay time and processing speed of user requests are lowered as batches of deletion operations for expired data are inserted into the LSM-Tree as special key-value data. This paper presents a Filtered LSM-Tree (FLSM-Tree) that solves the above problem by separating the deleted key from the main tree structure while maintaining all the advantages of the existing LSM-Tree. The proposed method is implemented in LevelDB, a commercial key-value store and it shows that the read performance is improved by up to 47% in performance evaluation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.5
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• pp.177-182
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• 2023

When determining a meeting place, it is always a cumbersome problem to select an appropriate store with a short travel time for all participants. In this paper, to solve this problem, we propose an algorithm that recommends the best place and store based on the subway station and develop the system. This system provides a web-based store information registration function that allows self-employed people to register and promote their store, and provides an app-based function to recommend a meeting place to participants. The proposed algorithm reduces the travel time of all participants based on the subway map and improves fairness by using the standard deviation of the required time. In addition, this system presents a new way for self-employed people who have recently relied only on publicity through delivery apps.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2003.05a
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• pp.131-134
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• 2003

Today the trend of department Is increasing stores to satisfy consumers to enjoy shopping comfortably and purchase desire. Specially, high stores focus on the sale environment improvement for consumers's pattern such as different corporate images, new life style and value system. However, nowadays Internet shopping mall is generalized, so consumer can purchase high brad more comfortably. Therefore, department store have to show high brand image through new interior production in departments. Specially, the importance of department store's facade is realized to link of company sales promotion of stores. Because the purpose of department store is sale, so the role of facade display is very important. Specially, facade in department stores contains many various concepts connotative logics, so this is more important than other space. Facade shows product images and connects consumer's purchase desire. Therefore the purpose of this study to find out the characteristics of high stores in departments and to help facade design of department stores.

• Journal of Families and Better Life
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• v.26 no.1
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• pp.15-29
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• 2008

The study examined the characteristics of internet shopping mall sites including on-line market places and integrated internet stores from a perspective of consumer protection. Specifically, the study investigated 1) whether sufficient information is provided on the internet shopping mall sites, 2) whether shopping mall sites abide by internet advertising principles, and 3) specific examples of consumer misleading potentialities from internet shopping sites. Further, on-line market places and integrated internet stores were compared based on their informativeness and potential consumer misleading factors. Total 50 shopping mall sites were analyzed for examining the types of information provided and consumer misleading factors. To verify study questions, descriptive statistics were used. For comparison between on-line market places and integrated internet stores, Chi-square test and independent-sample t-test were employed. The results of this study were as the following: First, not a few of the internet shopping mall sites did not provided important information such as safety and warrantees. Second, important disclosures were not noticeable on the web pages and distracting factors were frequently used. Third, integrated internet stores were desirable compared to on-line marketplaces based on informativeness and consumer misleading potentialities. As the result of this study, internet shopping malls need to advised to provide sufficient information and reduce potential misleading factors.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.187-193
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• 2017

Objects Internet-based healthcare services provide healthcare and healthcare services, including measurement of user's vital signs, diagnosis and prevention of diseases, through a variety of object internet devices. However, there is a problem that new security vulnerability can occur when inter-working with the security weakness of each element technology because the internet service based on the object Internet provides a service by integrating various element technologies. In this paper, we propose a user privacy protection model that can securely process user's healthcare information from a third party when delivering healthcare information of users using wearable equipment based on IoT in a mobile environment to a server. The proposed model provides attribute values for each healthcare sensor information so that the user can safely handle, store, and store the healthcare information, thereby managing the privacy of the user in a hierarchical manner. As a result of the performance evaluation, the throughput of IoT device is improved by 10.5% on average and the server overhead is 9.9% lower than that of the existing model.

• Journal of the Korean Home Economics Association
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• v.39 no.10
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• pp.55-67
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• 2001

The purpose of this study were 1) to find out the benefits sought factors and segment the customers of internet shopping mall, 2) to find out the store image factors of internet shopping mall, and 3) to analyze the internet shopping mall market using perceptual map of segmented groups. The questionnaires dealing with attribute dimension of internet shopping mall image, benefits sought, and demographic variables were selected from the previous studies or were developed for this study. The data from 319 respondents which were collected through the internet survey site was analyzed by factor analysis, cluster analysis, one-way ANOVA, and $X^2$-test. The results of this study were as follows: 1. Benefit sought by consumer in internet shopping malls was found to include six different factors: assortments of products, search efficiency, brand/fashionability, delivery convenience, promotion service and informativeness. 2. As a result of subdividing the consumers, four distinctive groups were formed on the basis of benefit factors: multi-benefit oriented group, convenience oriented group, brand oriented group and low-benefit oriented group. Demographic traits such as education and income level were proven to significantly differentiate the benefit segments. 3. In the structural components of internet shopping-malls image, product/information, service/convenience and economy were drawn from attribute dimensions. 4. 12 perceptual maps of internet shopping mall image were constructed and each ideal vector were drawn.

• The Journal of Information Systems
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• v.14 no.1
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• pp.87-105
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• 2005

The purpose of this study id to examine the effect of Web site usability on the revisiting intention of customers in Internet book stores. The Web site usability construct consists of the factors such as contents, design, navigation, and interactivity. In order to accomplish the purpose of this study, a research model was established and it suggests that the usabililty effect the revisiting intention of online customers in Internet book stores. The results of the study show that contents, navigation, and interactivity has statistically significant effect on revisiting intention of Internet customers and this effect is mediated by perceived ease of use and perceived usefulness. This research confirms the importance of usability construct in designing web sites and understanding the use of web sites. Implications of these findings are discussed for researchers and practitioners.

• The Research Journal of the Costume Culture
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• v.13 no.1
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• pp.161-173
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• 2005

The Main objective of this study was to investigate the relationship between shopping orientations and Knit wear Buying Behavior of female college students in the U.S. age 18 to 33. The questionnaires for this survey were developed to measure knitwear purchasing behavior, including sources of information about knitwear, evaluative criteria of knit wear product, attributes f store preference for knitwear, and shopping orientation. The questionnaire was administered to 119 female college students in the University of California. The data was analyzed by percentage, frequency, mean, factor analysis, Cluster Analysis and ANOVA, Duncan Multiple Range test. The female college students were classified into five subdivisions by cluster analysis; cautious shopping group, recreational shopping group, self-confident shopping group, shopping indifferent group, price conscious shopping group. In the case of fashion information sources of knit wear, significant differences were found according to shopping orientation subdivision in observation of others' and famous people's clothing, fashion shows, fashion articles in magazines, newspapers, and on the Internet, and shop displays. The evaluation criteria of knit wear product were significantly different depending on shopping orientation subdivision in fashionable, brand and store name, appropriate for different occasion, prestige. The store attributes of knitwear were significantly different depending on shopping orientation subdivision in product knowledge of sales personnel, store atmosphere, display of merchandise, layaway payment plan, price level, ease of parking and access, and new fashion.