• Journal of Internet Computing and Services
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• v.9 no.1
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• pp.129-135
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• 2008

This paper presents a methodology to forecast KOSPI index by extracting fuzzy rules based on the neural network with weighted fuzzy membership functions (NEWFM) and the minimized number of input features using the distributed non-overlap area measurement method. NEWFM classifies upward and downward cases of KOSPI using the recent 32 days of CPPn,m (Current Price Position of day n for n-1 to n-m days) of KOSPI. The five most important input features among CPPn,m and 38 wavelet transformed coefficients produced by the recent 32 days of CPPn,m are selected by the non-overlap area distribution measurement method. For the data sets, from 1991 to 1998, the proposed method shows that the average of forecast rate is 67.62%.

• Journal of the Korean Society of Food Culture
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• v.32 no.4
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• pp.287-294
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• 2017

This study analyzed the comparative importance of the selection of a restaurant for solo diners, and suggests a solution for the ideal type of the restaurant that are appealing to solo diners using conjoint analysis techniques. A total of 280 questionnaires were distributed to consumers who had experience dining alone from June $7^{th}$, 2017 to June $14^{th}$, 2017, and 261 were completed (93.21%). As a result, the importance of the attributes of the restaurant was found to be the menu for solo diners (36.92%), price (30.29%), seating for solo diners (20.87%), and serving time of food (11.91%). The ideal combination of selection attributes was found to be having a menu for a solo diner, having a seat for a solo diner, meal service time of less than 10 minutes, and a low price of 2,500won. These results will form a database that contributes to the development of differentiated products and is building marketing strategies that can satisfy the needs of solo diners.

• Culinary science and hospitality research
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• v.14 no.2
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• pp.225-236
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• 2008

This study is to explore how the employees of tourist hotels perceive moderate room rates and price acceptance. Sampling was taken among employees for deluxe hotels at Yusong in Daejeon. A total of 150 samples were distributed and 124 valid samples were selected for this research. Answers were processed by SPSS 15.0 after data coding. The results of study are as follows; First, annual average sales price of hotel rooms is \99,223, and the rack rates take up 49.7% of the transaction rates. Second, the rack rates which many employees think moderate are in the range of $50.09{\sim}75.13%(\100,000{\sim}150,000)$ of the rack rates. Third, many employees consider $40.07{\sim}50.09%(\80,000{\sim}100,000)$ of the rack rates as the moderate acceptability rates. Finally, the differences of fair rates by age and annual income were noticeable. These hotels ought to narrow the gap between rack rates and transaction rates. This study has a meaning to draw up a new plan for the room rate policy.

• Culinary science and hospitality research
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• v.12 no.4 s.31
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• pp.1-17
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• 2006

The purpose of this study was to find out the impact of a selection attribute on customer satisfaction and customer loyalty in the coffee house industry. Through the preceding research, author chose coffee quality, price value, interior and employee service quality as selection attributes as well as customer loyalty as intent to recommend and to revisit. For this study, data were collected from the pedestrians around Kangnam, Samsung, Seoul national university of education subway stations from July 12 to August 4, 2005. Questionnaires were distributed and, of 314 papers, only 300 were suitable for the statistical analysis. The findings of the research were as follows: First, four selections had an effect on customer satisfaction which influenced customer loyalty. Coffee quality was the most influential variable among the selection attributes, and came price value, and interior and employee service quality in that order. Second, intent to revisit was influenced directly by not only customer satisfaction but also intent to recommend. However, this study had such limitations that data used in this study were limited to relatively narrow area and four attributes were not enough to explain all situations of choosing coffee houses. Consequently, further studies are needed to include more variables and coffee houses' brand images.

• Journal of the Korean Society of Food Culture
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• v.19 no.1
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• pp.1-11
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• 2004

The specific purposes of this study are that ; 1) to investigate the distinguished selection attributes on performance of Japanese chain restaurant according to general characteristics of the respondent ; 2) to find out relationships between selection attributes on performance for Japanese restaurant and customer's satisfaction Frequency analysis. one-way ANOVA, reliability analysis, factor analysis, multiple regression were used to analyze the data. Total 350 questionnaires were distributed and 312 were replied(89.14%). Selection attributes on performance for Japanese chain restaurant was divided into 7 factors. There are Factor1 'Store Image & Kindness', Factor2 'Sanitation & Taste', Factor3 'Approximation & Children's Menu', Factor4 'Delivery & Business Hours', Factor5 'Food Quantity & Korean Food', Factor6 'Service & Parking' Factor7 'Price & Publicity'. Monthly income, eating-out expense per once and type of companion have significant influences on selection attributes for performance. Customer's total satisfaction is significantly affected by selection attributes on performance. Factor7 'Price & Publicity' has the most significant influence on customer's satisfaction. We expect that the results can be used to provide basic information to plan marketing strategies, and take improved customer's satisfaction for Japanese chain restaurants.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.165-170
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• 2021

This paper examines the long-run relationship between financial development and economic growth. The effective function of financial development is crucial to promote the economic development of the country. To achieve the objective, this study used Gross Domestic Product as a dependent variable and Credit to The Private Sector, Ratio of the Gross Fixed Capital Formation to GDP, Trade, Consumer Price Index and Labour Force as an independent variable. Augmented Dickey-Fuller test statistic (ADF) to check the stationary. Bounds test for cointegration and Auto-Regressive Distributed Lag Models (ARDL) are used to check cointegrating relationship amongst the variables and causality between financial development and economic growth. Moreover, the Model selection method is Akaike Info Criterion (AIC). This result demonstrates that the labor force and trade hold a significantly negative relationship with economic growth. Nevertheless, inflation, Credit to The Private Sector, and Ratio of the Gross Fixed Capital Formation to GDP show a significantly positive relationship with economic growth. Therefore, there is a statistically significant relationship between Financial Development and Economic growth in Sri Lanka and the Sri Lankan government should reform its trade policies.

• Asia-Pacific Journal of Business
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• v.12 no.3
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• pp.37-50
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• 2021

Purpose - This study aimed to examine the behavior surrounding the Initial Public Offering (IPO) event of firms within the same conglomerate and the impact of under-pricing and Return on Equity(ROE) on a firm's abnormal stock returns. Design/methodology - This study collected data from 166 South Korean Chaebols, consisting of 355 firms distributed as 202 listed on Korea Composite Stock Price Index (KOSPI) and 153 firms listed on Korean Securities Dealers Automated Quotations (KOSDAQ) from 2000 to 2020. The Capital Asset Pricing Model (CAPM) and the multiple regression analysis were hired to analyze the data. Findings - First, we found an adverse price reaction of IPO listing in the same chaebol group, and firms with higher under-pricing affect other firms' stock prices more adversely within the conglomerate. Next, we explored a negatively significant relation between ROE and the chaebol firms' stock returns during IPO events. Research implications - The novelty of this study is there are not many empirical studies on the impact of IPO within a conglomerate. So, the findings of this study contribute to the literature for analyzing stock's abnormal returns within a conglomerate.

• 지역과문화
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• v.8 no.1
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• pp.77-93
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• 2021

The importance of cultural goods marketing in the management of museums is increasing as the museum's cultural goods are taking an important part in the profit.This study analyzes the differences in cultural goods between the National Palace Museum and the National Palace Museum through the 4P strategy of marketing products, prices, channels and promotion. While the National Palace Museum emphasizes cooperation with other companies in terms of products, the National Museum of Korea focuses on developing its own products.In terms of price, the two museums have different strategies because of their different market share.In terms of space, the National Palace Museum sells cultural goods through a variety of electronic merchants, while the National Museum of Korea is distributed through a special website.In terms of promotion, the Palace Museum uses online social media marketing strategies, while the National Museum of Korea collects ideas and develops cultural products through open recruitment activities every year. This research is of new significance to the development of cultural products in China and Korea through comparison between the National Palace Museum and the National Museum of Korea.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1278-1280
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• 2011

인터넷 쇼핑몰을 통하여 사용자들은 다양한 상품의 구입과 유통정보시스템의 구축으로 복합적이고, 차별화된 전략을 통해 소비패턴의 큰 변화를 가져왔다. 이러한 추세는 대형마트를 중심으로 확산되었고, 대형마트를 선호하고 구매력을 향상시키는 요인이 되었으며, 경제성장과 소득수준의 향상으로 사용자들의 욕구 또한 고급화되고 다양화되는데 큰 영향을 끼치고 있다. 이로 인하여 인터넷에서 처리되는 정보의 종류가 점차 확대되고 다양화되면서 정보를 처리하기 위한 구현기법도 복잡해지고 있으며, 웹사이트들은 단순히 정보제공 차원을 넘어서고 있다. 이에 따라 사용자들은 동적인 정보제공, 보안기능, 통계처리들의 기능도 요구하고 있다. 이러한 요구를 수용하기 위해서는 웹 자원을 효율적으로 관리하기 위한 시스템이 필요하다. 이러한 이유로 현재 대형마트별로 홈페이지가 구축되어 있어 사용자들이 원하는 생필품을 검색할 수 있으나, 어느 특정지역을 대상으로 통합하여 검색할 수 있는 시스템은 없는 상황이다. 본 논문에서는 D 지역의 대형마트를 선정하여 사용자들이 주로 이용하는 생필품들의 가격을 조사하여 상품에 대한 가격을 웹상에서 보다 쉽게 비교하여 검색할 수 있도록 MPP(Mart Products Price) 통합 검색 시스템을 구현하였다.

• Culinary science and hospitality research
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• v.22 no.3
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• pp.44-54
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• 2016

This study examined the factors that affect the relationship between low price coffee shops service quality and brand image, and rrevisit intention. A total of 225 questionnaires were distributed to consumers, of which 210 were deemed suitable for analysis after the removal of 15 unusable responses. In order to perform statistical analyses required in the study, the SPSS 18.0 Statistical Program was used for frequency analysis, factor analysis, and reliability analysis, correlations, and regression analysis. The results of exploratory factor analysis showed that four factors regarding service quality were extracted from all measurements with a KMO of 0.864 and a total cumulative variance of 73.235%, With regard to brand image, one factor was extracted with a total cumulative variance of 66.497% and a KMO score of 0.885. One factor for revisit intention was extracted that accounted for a total cumulative variance of 60.192% and a KMO score of 0.845. All factors were significant to 0.000 and the correlation between variables was significant. Thus, based on the results, the main research hypothesis that identifies the relationship among service quality, brand image and revisit intention was partially adopted.