• FLOWER RESEARCH JOURNAL
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• v.19 no.1
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• pp.68-76
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• 2011

This study was conducted to investigate customer taste related to satisfaction of a baby's first birthday party and re-visit of venues. General characteristics of customers were similar in male and female or the married and the unmarried. Mainstream age of respondents was from in their 20's to 30's. Among them, the number of university graduates were the largest in education level. Theoretical model was composed with seven significant variables of design style and composition and design harmony and color sense for flower decoration, accessibility, facility, service and price, satisfaction, and intention of re-visit based on the result of analysis on these factors. Exploratory factor analysis was performed using SPSS 14.0K. Structural equation modeling(SEM) for simultaneous measure of path coefficient in all casualty of study model, measurement model of AMOS 7.0 for evaluation of validity, and reliability and factor analysis method using technical statistics, frequency analysis, and Cronbach's Alpha for data analysis were used. The result of hypothesis verification showed that design style and composition was the most significant item in satisfaction of parameter and it was followed by design harmony and color sense. While service and price had positive effect on satisfaction, accessibility and facility had no relation to it. It means that the most crucial variable was a flower decoration in planning and representation of the celebration of baby's first birthday. In conclusion, the finding of this study suggests that the effective utilization of these variables will contribute to the enhancement of satisfaction affecting improvement service and price or intention of re-visit.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.14 no.2
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• pp.95-119
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• 2003

Case Study about the management of bakery menu through a menu analysis: This study checked the sales of bakeries this researcher has operated for 4 weeks before evaluating the menu with Kasavana & Smith Analysis, changing the position of the menu on the theoretical base of space composition and then checking the sales for 4 weeks again and analyzing in the same way. The study compared the two groups by using the menu analysis. The menu used in the analysis included 31 items produced in the stores and 29 items turned out from the headquarters. The results of the menu evaluation through Kasavana & Smith Analysis are as follows: (i) before changing the position of the menu 22 Stars, 20 Puzzles, 15 Plowhorses, 13 Dogs (ii) after changing the position 18 Stars, 24 Puzzles, 12 Plowhorses, 6 Dogs During the study, it was inconvenient that many things not thought about before were discovered. The limitations of the study are as below: a) when the displayed items were sold out, they couldn't be supplied continuously. The items from the headquarters were supplied as many as the ordered volume. As the stores prepared materials only for the day, they only produced bakeries as many as the dairy target. So it is difficult for them to keep extra bakery. b) it is natural that a new item make the sales of the existing items cut down. During the study, there appeared a new item, which influenced on the sales. c) as the store this researcher manages is smaller than the others, it was difficult to change all the position of the menu. With only 18 items changing their positions, there couldn't obtain more accurate data. d) because of the franchise contract, there fixed the prices of supply and sale. Therefore the price of Plowhorse couldn't be changed. However on the base of this study, it can search more specific ways to efficiently manage the bakery business in the future.

• Journal of the Korean Society of Costume
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• v.66 no.8
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• pp.98-108
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• 2016

Knitwear has been used as an active and functional clothing item due to its flexible and soft nature. Diverse design expressions have made knitwear into an essential fashion item for people today, who are constantly seeking for ways to display their individualism. The purpose of this study is to analyze the actual wearing conditions, and the preferred designs of knitwear for female college students in order to provide a baseline data, which can be used to develop knitwear designs for the subjects of the study. Survey by questionnaire of 135 female college students in 3 universities in Seoul were analysed. The results of the study are as follows: First, the most owned knitwear were sweaters and cardigans. Knitwear was viewed as soft and warm, as well as versatile. It was not restricted to certain sizes, and was comfortable to wear for different activities. Seound, the most preferred items were sweaters and cardigans. The most preferred styles were round neckline sweaters and open V-neckline cardigans. Third, the most preferred designs were plain designs with achromatic colors and wool-blended fabrics. The most preferred images were simple images. The most preferred fit was loose enough for little bit of room inside. Fourth, appropriateness and design of the knitwear were assessed during the purchasing stage. the most preferred method of purchase was purchasing via online stores after researching the knitwear through various channels, such as store visits and the Internet. The preferred price of knitwear was below 100,000 KRW. Fifth, the most common complaints were as follows: changes in the shape and quality of the knitwear after a wash, appearance of nap, and loose threads. In short, it is necessary for female college students to develop high quality knitwear with designs that can display individuality, while being simple.

• Journal of the Korean Society for Library and Information Science
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• v.26
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• pp.187-212
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• 1994

The present study examines the characteristics of the international literature of classification systems published in the period 1981-1990. The references in the 'Classification Literature' sections of International Classification and the references in these source items were examined. The present study focused on analyzing each of the following characteristics: format, subject, language, geographical origin, age, authorship and number of references. The findings from the data analyses show clearly that in the literature of classification systems, I) books were the most frequently cited format; 2) library and information science was the most frequently cited subject; 3) English was the major language; 4) the literature of each classification system was written predominently in English except for Library Bibliographic Classification; 5) the language of each source item was the same as that of the greatest number of references of that source item: 6) the U.S., Germany, India, Russia, and the U.K. were the major geographic origin of publication; 7) there was a very close relationship between country of publication and language: 8) the country of origin of the documents was cited more than any other country except for the U.S.: 9) Price's Index of the literature revealed that the literature was a soft science and the half-life of the literature was about 7.5 years; 10) there was a preponderance of single authorships; 11) the literature was not a scholarly or scientific literature, according to the average number of references in source items and the percentage of unreferenced items. The findings of this reference study provide a better understanding of the characteristics of the classification systems literature. They prove useful for the collection development and assist classification systems researchers to prepare linguistically for their careers and encourage international communication efforts.

• Fashion & Textile Research Journal
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• v.16 no.2
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• pp.228-234
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• 2014

The purpose of this study is to analyze the differences in fashion attitudes between adolescents and the parents of adolescents. 562 adolescents and 163 parents' responses in South Korea are used for the analysis. Survey questionnaires specifically designed for the adolescents and parents are used to compare the differences of the two populations. The results suggest that adolescents and parents in South Korea have different evaluation values for adolescents' fashion goods and school uniforms. The Adolescents placed a premium on 'Comfort' and 'Design' for fashion goods and school uniforms. However, the parents placed a premium on 'Practicality' and 'Price' values for fashion goods and school uniforms. The school uniform items which were most accepted in Korean middle and high schools need the change in composition of items for four seasons. In purchasing behavior, the adolescents answered that they have more than one item of preferred fashion brand. The Korean adolescents prefer famous sportswear brand like Nike, Adidas and etc. The fashion market for adolescents in Korea is closely related with the parents in shopping behaviors. The comparison of the fashion attitude between parents and their children is more practical method for developing the adolescents' fashion items and young fashion market.

• Journal of Intelligence and Information Systems
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• v.13 no.4
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• pp.45-63
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• 2007

Recently as ubiquitous environment comes to the fore, information density is raised and enterprise is being able to capture and utilize customer-related information at the same time when the customer purchases a product. In this environment, a need for the recommender systems which can deliver proper information to the customer at the right time and right situation is highly increased. Therefore, the research on recommender systems continued actively in a variety of fields. Until now, most of recommender systems deal with item recommendation. However, in the market in ubiquitous environment where the same item can be purchased at several stores, it is highly desirable to recommend store to the customer based on his/her contextual situation and preference such as store location, store atmosphere, product quality and price, etc. In this line of research, we proposed the store recommender system using customer's contextual situation and preference in the market in ubiquitous environment. This system is based on collaborative filtering and Apriori algorithms. It will be able to provide customer-centric service to the customer, enhance shopping experiences and contribute in revitalizing market in the long term.

• Fashion & Textile Research Journal
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• v.23 no.3
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• pp.358-369
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• 2021

This study aims to classify the dimensions of the sales information of secondhand clothing goods on the C2C secondhand trading platform and to systematically analyze the components of each dimension. To this end, the NVivo 12.0 qualitative data analysis software was used. The content analysis showed that the sales information of secondhand clothing goods was classified into four dimensions: detailed information of the sale goods, information specific to secondhand clothing goods, seller opinion information, and service information. The components of each dimension were as follows. The detailed information of the sale goods included size, sale price, item, design, brand name, material, color, wearing season, fit, gender, etc. The information specific to secondhand clothing goods included the number of times the item was worn, its purchase history, and product condition. Seller opinion information included product review, sales motivation, notes for the transaction, coordination proposal, and usage proposal. The service information included the transaction mode, exchange·return·refund, and promotion. The frequency analysis showed that the highest frequencies were sale goods(37.47%), information specific to secondhand clothing goods(24.63%), seller opinion information(20.54%), and service information(17.37%). This study will help C2C secondhand trading platform managers or sellers establish clear standards for presenting sales information and developing ideas toward constructing differentiated platform contents.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1D
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• pp.105-113
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• 2006

Construction cost index is generally used to estimate the new project cost based on past construction data and to adjust the contract cost when the price change of various articles and items of expenditure composing the contract occurs. In Korea, it is mostly used for modulation of construction contract cost due to fluctuation of prices. However the method for making cost index had some problems in calculating cost index of each expenditure item that could not properly reflect the change of construction cost. To supplement these problems, the research of developing construction cost index has been executed. Through the precedent research, these problems were partially resolved but still remain. Therefore this research proposes the method for making cost index that utilizes representative items of labor, material, equipment by analyzing bill of quantity of road construction, through analysis and comparison of precedent studies. By using this method, it is expected to solve the problems which were not reflected in preceeding studies.

• The KIPS Transactions:PartD
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• v.17D no.4
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• pp.253-258
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• 2010

Traditional frequent pattern mining considers equal profit/weight value of every item. Weighted Frequent Pattern (WFP) mining becomes an important research issue in data mining and knowledge discovery by considering different weights for different items. Existing algorithms in this area are based on fixed weight. But in our real world scenarios the price/weight/importance of a pattern may vary frequently due to some unavoidable situations. Tracking these dynamic changes is very necessary in different application area such as retail market basket data analysis and web click stream management. In this paper, we propose a novel concept of dynamic weight and an algorithm DWFPM (dynamic weighted frequent pattern mining). Our algorithm can handle the situation where price/weight of a pattern may vary dynamically. It scans the database exactly once and also eligible for real time data processing. To our knowledge, this is the first research work to mine weighted frequent patterns using dynamic weights. Extensive performance analyses show that our algorithm is very efficient and scalable for WFP mining using dynamic weights.

• Journal of Fashion Business
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• v.18 no.1
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• pp.80-100
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• 2014

As men have started to show more desire to express themselves through clothing and accessories also they learn by themselves and take diverse experiences about fashion. At the same time, men's fashion-consciousness is growing together. The role of male consumers' is becoming significant in the fashion market, and there has been more research on their clothes and fashion is increasing, however research on the male casual clothing for their 30~49 years old group is still insufficient. This study aims to examine the casual brands for men in their 30~40s and their characteristics among other men's brands recently appearing in Korea. The results of the study found: first, regarding the questionnaire to give men's casual brand names, 30s males' answers showed clearer recognition about the casual brand than those of 40s males. secondly, the factors affecting attitude of male consumers' towards casual brands are designed 'aesthetics', 'surroundings' and 'price', and the men in their 40s put more important than men in their 30s on 'aesthetics' and 'surroundings'. third, when men were actually buying casual brand, they then took five characteristic factors into account namely: 'the external environment', 'functionality' design 'aesthetics', 'symbolic' and 'price'. Men in their 30s did not show much difference in actual purchase characteristics in regards for the brand factors but men in their 40s showed interest when asked about 'buying product with noticeable brand logo or trademark' item among 'symbolic' factors than men in their 30s (p< .01 of significant difference).