• Journal of Fashion Business
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• v.20 no.3
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• pp.89-103
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• 2016

This study examines female new seniors' clothing consumption behaviors, such as their information sources, clothing store selection criteria, and perceived importance of sales associates' attributes, based on their level of clothing involvement. A face-to-face survey was conducted through a market research firm. The subjects of this study were female adults in their 50s and 60s residing in the Seoul metro area (N=197). Significant differences were found in the clothing consuming behaviors of new seniors depending on their clothing involvement(CI). High-CI new seniors tended to place more importance on both personal and non-personal information sources than low-CI new seniors. High-CI new seniors place importance both "merchandise assortment and store atmosphere" and "sales associates and service" when they select stores for clothing than low-CI new seniors. In terms of sales associates' attributes, high-CI new seniors tend to place more importance on customer-orientation than medium- and low-CI groups. Medium- and high-CI new seniors tend to place more importance on appearance than low-CI groups. However, there were no significant statistical differences for professional expertise among the three different CI groups.

• Journal of the Korean Home Economics Association
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• v.33 no.4
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• pp.279-288
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• 1995

The purpose of this study was to compare clothing attitude and clothing purchase behavior of two age groups of adult men,- college students and middle aged. Four aspects of clothing attitude (fashion interest, status symbol, conformity, practicality/comfort) were assessed with 20 Likert type questionnaires adapted from the previous researches. Four aspects of purchase behavior(information sources used, store patronage, importance of store attributes, clothing selection creteria for occasions) were measured with forced choice questionnaire developed or adapted from previous researches. The questionnaire were administrated to 512 male college students and middle aged men. The data were analysed using frequency, percentage, and t-test. The major findings drawn from this study were as follows : 1. Clothing comfort among four aspects of clothing attitude according to the age group was that middle-aged men showed higher conformity than college students. 2. For the information source for apparel purchase, college students used consumer dominated information source while middle-aged men used market dominated information source. 3. For apparel purchase, students preferred brand franchise store, and factory outlet/off-price store, while middle-aged preferred department store and custom-made. Among six store attributes, convenience and price were the most important attributes to the students, while convenience and high quality to the middle aged. 4. The most important clothing selection creteria for formal occasion (job interview, wedding ceremony) was dignity. Comfort/practicality were important creteria for both of leisure occasion and daily attendance (office, school).

• Journal of the Korean Institute of Landscape Architecture
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• v.29 no.3
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• pp.70-80
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• 2001

It is necessary to construct an effective regional information system in facing the incoming information intensive society. Many local government in Korea began to recognize a need for constructing a GIS(Geographic Information System) and they are planning to construct GIS´s to improve their administrative efficiency. However, ti requires high-priced hardware, software, and an experienced operator to sue a GIS effectively. The purpose of this study is to develop the GIS program which can be sued with ease by common users. By developing a GIS functioned program using a coordinate recognition module by application of geo-spatial data, and a digital map which is already made, this program can be used efficiently only by only inputting attributes without high-priced hardware and software, and can be utilized easily to every purposes of work with geo-spatial data and attributes. MapObjects, mapping and GIS component, was employed to use geo-spatial data, and Access 97 from Microsoft to manage and attributes database. Visual Basic, objected-oriented language, was used to develop an application program. Results of this study were applied to constructing the Information system of Kanwon National University. This program could be used for various purposed by common users without additional hardware and software.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.181-188
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• 2022

The purpose of this study is to identify selection attributes, functional benefits, psychological benefits, and values according to crossover shopping patterns (showrooming and webrooming). To achieve objectives of this study, a survey was designed based on the means-end chain theory, using the in-depth laddering technique and APT laddering technique which understanding the linkage of A(attributes)-FB(functional benefits)-PB(psychological benefit)-V(value). These two laddering techniques were used to construct a hierarchical value map (HVM) by linking selection attributes, functional benefits, psychological benefits, and value levels. The selection attribute items that showrooming shoppers consider important are 'price conformity', 'product information', 'product variety', and 'delivery service'. Functional benefit items were 'free purchase', 'economic benefit', 'communication', 'safety', and 'accurate Information', and psychological benefit items were 'convenience', 'relaxation', 'pleasure', 'rational consumption', and 'stability'. Finally, the value items were 'self-satisfaction', 'abundant life', 'achievement', 'happiness', and 'reasonable life'. Next, the selection attribute items that webrooming shoppers consider important are 'price conformity', 'product information', 'product variety', 'AS', 'shopping atmosphere', and 'seller service'. Functional benefit items were 'free purchase', 'economic profit', 'expression opinion', 'safety', and 'accurate information', and psychological benefit items were 'convenience', 'relaxation', 'rational consumption', and 'stability'. Finally, the value items were 'self-satisfaction', 'abundant life', 'happiness', and 'reasonable life'.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.1
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• pp.79-88
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• 2006

The facility area occupies approximately 50% of the topographic landmarks playing an important role in the utilization of geographical information in various fields, and requires more up-to-date information than the framework data of other areas. However, the expression mode in the 1:5000 digital map, which is a primitive data used for the preparation of framework data in the facility area, limits the description of the information on buildings, and its revision/renewal term of 5 years makes it far from up-to-date or accurate. Therefore, this study aimed to analyze the problems and quality deteriorating factors that may occur in establishing the framework data on the basis of existing establishment process of them in the facility area, and improve the qualify of the framework data in facility area by upgrading the methods of quality improvement. Expanding the information on attributes and improving the accuracy of locations were proposed as ways to increase the degree of utilization of the framework data in the facility area. And as the methods of expanding the information on attributes, it was proposed to improve the accuracy of the information on attributes for the framework data in the facility area using the information on attributes in the 1:1000 scale maps, and also to diversify the information on attributes in connection with the LMIS and AIS. To improve the accuracy of the locations, analyses were made with the potential problems that may occur in the establishment process through an experiment on the framework data in the facility area based on 1:1,000 digital map, and the results were used to present an improved, optimum process.

• Journal of Fashion Business
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• v.19 no.6
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• pp.82-100
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• 2015

Mobile fashion apps present much opportunity for marketers to engage consumers, however not all apps provide enough functions for their targeted audience. This study aims to determine how mobile fashion apps can be used to build brand community with consumer engagement. Qualitative data on fashion mobile apps were collected from the Apple app store and Android market during the spring and summer of 2015. A total of 110 fashion mobile apps were collected;, 50 apps were identified as apparel brands that either manufacture or sell apparel to consumers, which we categorized as "brand" fashion apps, and the remaining 60 were categorized as "non-brand" fashion apps. The result of the study can be summarized as below. The 60 non-brand fashion apps were grouped into 5 app types: shopping, searching, sharing, organizational, and informational. The main functions are for informational use and shopping needs, since at least half (31 apps) are used for either retrieving information or for shopping. However, in contrast, social networking and location were infrequent and not commonly utilized by these apps. The most common type of non-brand fashion apps available were shopping apps;, many shopping apps enable users to shop from several different websites and save their items into one universal shopping cart so that they only check out once. Most of these apps are informational and help consumers make more informed decisions on purchases;, in addition many offer location services to help consumers find these items in store. While these apps perform several functions, they do not link to social media. The 50 brand apps were grouped into 5 brand types: athletic, casual, fast fashion, luxury, and retailer. These apps were also checked for attributes to determine their functionality. The result shows that the main functions of brand fashion apps are for information (82% of the 50 apps) as well as location searching (72% of 50 apps). Conversely, these apps do not offer any photo sharing, and very few have organizational or community functions. Fashion mobile apps and m-marketing elements: To build brand community, mobile apps can be designed to motivate consumer's engagement with brands. The motivations of fashion mobile apps are useful in developing fashion mobile apps. Entertainment motives can be fulfilled with multimedia attributes, functionality motives are satisfied with organizational and location-based features, information motives with informational service, socialization with community and social network, learning and intellectual stimulation from informational attributes, and trend following through photo sharing. The 8 key attributes of mobile apps can correspond to the 4 m-marketing elements (i.e., Informative content, multimedia, interactions, and product promotions) that are further intertwined with m-branding elements. App Attributes and M-Marketing aim to Build Brand Community;, the eight key attributes can impact on 4 m-branding elements, which further contribute to building brand community by affecting consumers' perceptions of brands preference and advocacy, and their likelihood to be loyal.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.11
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• pp.1814-1824
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• 2008

The purpose of this study was to investigate the information search behavior in functional sportswear purchasing by clothing and sports concern variables. Functional sportswear means sportswear made of functional clothing materials. The information search behavior in this study included information sources, information seeking attributes, information search differences between when consumers buy functional sportswear and when they purchase nonfunctional sportswear, and information characteristics. For this purpose, 500 questionnaires had been distributed to university students and 409 of which were used in the study. For data analysis, frequency, reliability analysis, factor analysis, and t-test were used. The results were as follows: first, the friends showed to be the most effective information source of functional clothing materials sportswear and internet revealed to be the information source that made the most frequent use of. The experts appeared to be the most reliable information source. Second, the more the students were concerned about clothing and sports, the more important they considered information seeking attributes. Third, in the aspects of information search differences between when consumers bought functional sportswear and when they purchased nonfunctional sportswear, only sports concern variables showed to be significant. The last, regardless of clothing and sports concern variables, it was found that customers considered all the information characteristics important.

• Journal of Information Science Theory and Practice
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• v.8 no.2
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• pp.32-44
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• 2020

This study attempts to draw the implications of student satisfaction with fieldwork courses in the library and information science (LIS) program in South Korea by determining the level of satisfaction experienced by students with practicums at a library and information service agency. LIS students with fieldwork experience were surveyed to assess their satisfaction and the factors affecting their satisfaction. Results from a multiple regression analysis revealed that from among factors of practicum settings, major-related attributes, and general attributes of respondents, "satisfaction with majors" and "interpersonal relationships" had a significant effect on satisfaction with practicums. Examining the six components of satisfaction with the course revealed that "practicum program" and "practicum setting" had a significant relationship with overall satisfaction. A selective intervention program to improve satisfaction with the course needs to be developed based on factors influencing overall satisfaction, focusing on "interpersonal relationship" and "satisfaction with majors.

• Journal of Computing Science and Engineering
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• v.5 no.3
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• pp.183-196
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• 2011

There has recently been a surge of interest in relational database mining that aims to discover useful patterns across multiple interlinked database relations. It is crucial for a learning algorithm to explore the multiple inter-connected relations so that important attributes are not excluded when mining such relational repositories. However, from a data privacy perspective, it becomes difficult to identify all possible relationships between attributes from the different relations, considering a complex database schema. That is, seemingly harmless attributes may be linked to confidential information, leading to data leaks when building a model. Thus, we are at risk of disclosing unwanted knowledge when publishing the results of a data mining exercise. For instance, consider a financial database classification task to determine whether a loan is considered high risk. Suppose that we are aware that the database contains another confidential attribute, such as income level, that should not be divulged. One may thus choose to eliminate, or distort, the income level from the database to prevent potential privacy leakage. However, even after distortion, a learning model against the modified database may accurately determine the income level values. It follows that the database is still unsafe and may be compromised. This paper demonstrates this potential for privacy leakage in multi-relational classification and illustrates how such potential leaks may be detected. We propose a method to generate a ranked list of subschemas that maintains the predictive performance on the class attribute, while limiting the disclosure risk, and predictive accuracy, of confidential attributes. We illustrate and demonstrate the effectiveness of our method against a financial database and an insurance database.

• Culinary science and hospitality research
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• v.23 no.6
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• pp.27-35
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• 2017

The purpose of this study was to examine the causal relationship among restaurant selection attributes and customer satisfaction and recommendation tastes for young people in their twenties who use tickets for Rail-ro. Data collection was conducted to utilize questionnaire survey with online and offline distribution. The collected data were analyzed using a statistical program SPSS 21.0 with frequency analysis, reliability analysis, factor analysis, and regression analysis. The results of the study showed that Internet search is the most common source of information about restaurants during the trip, and restaurant choice attributes have an important impact on customer satisfaction, food quality, employee service and reputation, but hygiene did not have a big effect on customer satisfaction. In addition, customer satisfaction has a significant effect on recommendation intention. Concluding the results from this study, it investigated the significant attributes for customers selection of restaurants and provide meaningful advice for market managers to make useful marketing strategies to attract more clients and augment economic benefits.