• Journal of Information Technology Applications and Management
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• v.19 no.1
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• pp.1-12
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• 2012

Data mining is the process of searching and analyzing large quantities of data for finding out meaningful patterns and rules. Artificial Neural Network (ANN) is one of the tools of data mining which is becoming very popular in forecasting the future values. Some of the areas where it is used are banking, medicine, retailing and fraud detection. In finance, artificial neural network is used in various disciplines including stock market forecasting. In the stock market time series, due to high volatility, it is very important to choose a model which reads volatility and forecasts the future values considering volatility as one of the major attributes for forecasting. In this paper, an attempt is made to develop two models - one using feed forward back propagation Artificial Neural Network and the other using Autoregressive Conditional Heteroskedasticity (ARCH) technique for forecasting stock market returns. Various parameters which are considered for the design of optimal ANN model development are input and output data normalization, transfer function and neuron/s at input, hidden and output layers, number of hidden layers, values with respect to momentum, learning rate and error tolerance. Simulations have been done using prices of daily close of Sensex. Stock market returns are chosen as input data and output is the forecasted return. Simulations of the Model have been done using MATLAB$^{(R)}$ 6.1.0.450 and EViews 4.1. Convergence and performance of models have been evaluated on the basis of the simulation results. Performance evaluation is done on the basis of the errors calculated between the actual and predicted values.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.6
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• pp.783-795
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• 2014

This study investigates how the physical attractiveness of salespeople and other customers and self-image congruence influence customer perception and brand attitude. As a result of a pretest, four types of pictorial stimuli were developed: physical attractiveness of salespeople (high/low) ${\times}$ that of other customers (high/low). Stimuli were developed using Photoshop CS. A total of 550 samples in two experiments were used and all respondents were women in their 20s and 30s. Data were analyzed using ANOVA and SEM. The result of analysis shows that the physical attractiveness of salesperson had a significant impact on perceived quality, but that of other customers did not. However, self-image congruence with other customers shows a significant effect on perceived quality; however, salespeople did not. The impact of the perceived product quality on brand attitude is higher than perceived service quality. This study adds to fashion retailing literature by demonstrating that physical attractiveness and self-image congruence can influence a customers' perception of product or service quality and brand attitude. It provides interesting insight into how retailers can use social factors as a strategic tool in a retail setting.

• Journal of the East Asian Society of Dietary Life
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• v.21 no.6
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• pp.948-955
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• 2011

The purpose of this study was to investigate middle school boys' and their parents' preference on menu types of school breakfast. School breakfast was served at a boys' middle school in Gyeonggi-do, Korea for 7 weeks. Ten types of convenient menus, including steamed rice, rice porridge, rice cake, bread, or cereal, were served to 200 students free of charge. After the service period ended, questionnaires were distributed to the students and their parents. Usable questionnaires were returned by 142 (71%) students and 124 (62%) parents. About two-thirds (66%) of the students and about half (51%) of the parents preferred convenient menus to traditional menus as school breakfast. The students were the most highly satisfied with the menu type including hot dog buns whereas the parents regarded these as neither appropriate nor inappropriate as school breakfast. Overall, the menu types including steamed rice such as Kimbap or rice balls were highly ranked in terms of the students' level of satisfaction as well as the parents' level of appropriateness evaluation. About 20% of the students and 50% of the parents expressed intention to eat or make their children eat school breakfast even if payment is required. Over two-thirds of both the students (70%) and parents (68%) responded that less than 1,500 won per meal would be the appropriate price of school breakfast. The results of this study show that convenient menus could be considered as alternatives to traditional menus in school breakfast service, although additional efforts are necessary to develop such menus to satisfy both the students and their parents.

• Journal of Distribution Science
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• v.14 no.11
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• pp.83-90
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• 2016

Purpose - During the last two years, convenient stores (CS) are emerging as one of the most fast-growing retail trades in Korea. The goal of this work is to forecast and to analyze sales at CS using ARIMA-Intervention model (IM) and exponential smoothing method (ESM), together with sales at supermarkets in South Korea. Considering that two retail trades above are homogeneous and comparable in size and purchasing items on off-line distribution channel, individual behavior and characteristic can be detected and also relative superiority of future growth can be forecasted. In particular, the rapid growth of sales at CS is regarded as an everlasting external event, or step intervention, so that IM with season variation can be examined. At the same time, Winters ESM can be investigated as an alternative to seasonal ARIMA-IM, on the assumption that the underlying series shows exponentially decreasing weights over time. In case of sales at supermarkets, the marked intervention could not be found over the underlying periods, so that only Winters ESM is considered. Research Design, Data, and Methodology - The dataset of this research is obtained from Korean Statistical Information Service (1/2010~7/2016) and Survey of Service Trend of Korea Statistics Administration. This work is exploited time series analyses such as IM, ESM and model-fitting statistics by using TSPLOT, TSMODEL, EXSMOOTH, ARIMA and MODELFIT procedures in SPSS 23.0. Results - By applying seasonal ARIMA-Intervention model to sales at CS, the steep and persisting increase can be expected over the next one year. On the other hand, we expect the rate of sales growth of supermarkets to be lagging and tied up constantly in the next 2016 year. Conclusions - Based on 2017 one-year sales forecasts for CS and supermarkets, we can yield the useful information for the development of CS and also for all retail trades. Future study is needed to analyze sales of popular items individually such as tobacco, banana milk, soju and so on and to get segmented results. Furthermore, we can expand sales forecasts to other retail trades such as department stores, hypermarkets, non-store retailing, so that comprehensive diagnostics can be delivered in the future.

• Journal of Fashion Business
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• v.10 no.5
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• pp.74-92
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• 2006

This study aims at revitalization of industrial consignment education and focuses on the development of preferred subjects and teaching methods. The survey was administered to six hundred workers for the local fashion distribution companies for two years between through interview and questionnaire with 13 questions: 3 of them about favorite subjects, 7 about teaching methods, and the rest about whether or not they want to enter a college as well as which certificates and which kinds of job they want to have. The results of the survey can be summarized as follows. 1 The respondents in 2005 who answered to the questions about fashion design and other major subjects show that they preferred the subjects on fashion design to the subject of make-up and that they were interested in the photo-shop subject while they were less interested in the fashion marketing subject. 2 In order to apply what they learn to their own work field, the respondents want practical-work oriented lectures rather than theory centered ones. It means the new teaching program needs the teaching staffs who have had some practical work experiences and majored in the same subjects as the respondents prefer to learn. So it is necessary to take it into consideration that the development of new curriculums should focus on the subjects of practical skill and the experiences of actual work fields. 3 The certificate of 'shop-master' qualification is considered as the most interesting and necessary thing for their job. The respondents show that they are most concerned in a shop-master, manager of a department at department stores related to fashion distribution companies. Therefore, it points out the intensive teaching program for getting the qualification of shop-master is a must in the industrial consignment education.

• Journal of the Korean Geotechnical Society
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• v.33 no.1
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• pp.17-30
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• 2017

There are many limitations for ensuring structural stability of retaining wall. Especially, L-shaped retaining wall and gravity retaining wall need large space, and massive concrete, respectively. Assembled Earth Retailing (AER) wall was developed to overcome the shortcomings. In this paper, stability of AER wall is verified by field model tests and the 3D-numerical analysis. The results show that horizontal displacement of AER wall was reduced by maximum 67.84% for conventional retaining walls, and earth pressure acting on the retaining wall was reduced by maximum 73.19%.

• Korean Journal of Poultry Science
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• v.26 no.1
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• pp.43-50
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• 1999

The features of special brand eggs are growing more and more diverse and it is hard to draw a clear distinction between these and ordinary (no-brand) eggs. Special brand eggs range from those with objectively recognizable characteristics to those given only an unsubstantial product image and price differentials are among them great, too. The relation between product features and prices is unclear. Special brand eggs are the commodity whose characteristics are the vaguest of all livestock products. Farm's brand eggs produce a high profitability to producers is they are directly sold to consumers, by, for example, home-delivery service. But if they are sold to supermarkets, etc., producer's (poultry farmer's) income becomes lower by the amount of distributors' margin, reducing the profitability substantially. Thus how to increase the ration of retailing is important for farmers to secure a high profit. The sales strategies of poultry are the combination of two elements, that is, new product development (product differentiation) and creation of new market. But it is difficult for special brand egg producers to develop products with clear characteristics (use value) distinct form ordinary eggs and so these producers depend on the factors of appearance, such as the color of egg shells and package. Special brand eggs manage to keep their marketable value by the combination of the few product features and product image. Thus NB eggs from feed producers have a great market-ability since they can take advantage of the power of patents and TV commercials. However, market differentiation affects profitability much more than product features and price gaps are very wide between directly sold and wholesaled eggs. The producers of special brand eggs have come to the turning point where they have to decide whether they will content with being the subcontractors for NB and PB eggs or they will continue to keep their independence in production and marketing.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.5
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• pp.815-829
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• 2016

This study investigates Korean consumers' general perception on brand authenticity, tests the influences of authenticity determinants on the evaluation of fashion brand authenticity and compares the influences in terms of brand category (luxury/non-luxury). A three-stage methodological approach was adopted: (1) A literature review identifies authenticity determinants and generates measurement items. (2) A preliminary study uses a quantitative survey (n=50) to purify the determinants. (3) A quantitative consumer survey (n=150) identifies general perceptions on brand authenticity by measuring the perceived relevance of brand authenticity on determinants and explores the influence of determinants on authenticity evaluations using purified measurements of authenticity determinants. The results of general perception on brand authenticity show that Korean consumers deem authentic brands as honest, sincere and socially responsible. The results indicate obvious differences between luxury and non-luxury brands towards the influence of perceived authenticity determinants (genuine, consistent, original, traditional and authoritative) on authenticity evaluation of luxury/non-luxury brands. In non-luxury brands, only 'genuine' and 'consistent' have significant effects that are similar to the results of the general perception on brand authenticity. However, only 'consistent' and 'authoritative' have significant effects for luxury brands and are different from the general perception.

• Journal of Fashion Business
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• v.19 no.1
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• pp.1-16
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• 2015

Universities in Korea are already saturated with fashion-related majors, and graduates are having difficulties getting jobs. For this reason, Korean universities should educate students with a competitive curriculum. The purpose of this study was to analyze and compare the curricula of fashion-related majors at universities in Korea and the United States (U.S.) in order to help develop fashion-related curricula at the universities in Korea. The curricula of the 52 majors in 47 Korean universities and the 62 majors in 62 U.S. universities were analyzed. Data was analyzed using MS Excel 2010 and R 3.0.1.; the statistical significance was determined at ${\alpha}$=0.05. There were five main differences between fashion-related majors in Korean universities and those in the U.S. universities: 1) The subjects of the U.S. were more diverse and more business-oriented than those of Korea, but the universities of Korea had more design subjects. 2) The U.S. more often utilized computer technology, than Korea, in the field of fashion design. 3) The U.S. offered more theoretical courses, than Korea, in the field of fashion materials. 4) In the clothing construction field, the U.S. offered more apparel design and technical design than Korea. 5) The U.S. mainly educated on retailing and buying subjects while Korea mainly educated on fashion marketing subjects within the fashion business field.

• Journal of Distribution Science
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• v.15 no.4
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• pp.69-78
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• 2017

Purpose - The study was AI as exploratory study on artificial intelligence (AI) shopping information services, to explore the possibility of a new business of the distribution industry. For research, we compare to IBM of consumer awareness surveys an AI shopping information service for retailing channel and target goods group. Finally, we present to service scenario for distribution service using AI. Research design, data, and methodology - First, to identify possible the success of the information service shopping using AI, AI technology for the consumer is very important for the acceptance of judgement. Therefore, we explored the possibility of AI information service for business as a shopping. The experimental data were used to interpret the meaning of the relevant literature and the IBM Institute of Business Value (IBV) Report 2015. This research is based on the use of a technical acceptance model (TAM) to determine whether the consumer would adopt the 'AI shopping information service' technology. Step 1 of the process assumes that the consumer adopts AI technology. In step 2, consumers find their preference channels and goods targeted at them as per their preferences. Finally Step 3, we present scenario for 'AI shopping information service' based on the results of Step 1 and 2. Results - Consumers have expressed their high interests in the new shopping information services, especially the on/off line distribution channels can use shopping information to increase the efficiency in provision of goods. Digital channel (such as SNS, online shopping etc.) is especially high value goods such as cars, furniture, and home appliances by displaying it to an appropriate product group. Conclusions - The study reveals the potential for the use of new business models such as 'AI shopping information service' by the distribution industry. We present seven scenario related AI application refer from IBM suggestion, and the findings would enable the distribution industry to approach target consumers with their products, especially high value goods. 'Shopping advisor' is considered to the most effective. In order to apply to the other field of the distribution industry business, which utilizes AI technology, it should be accompanied by additional empirical data analysis should be undertaken.