• Journal of Distribution Science
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• v.10 no.5
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• pp.37-44
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• 2012

In this paper, we investigate several factors that affect the locational decision of discount stores by using previous studies on the marketing area and the location of commercial facilities. We selected 21 primary variables that are expected to influence the decision of store location and, by factor analysis, grouped them into five underlying factors. Among these, the demographic factor, which shows the potential purchasing power level, had the greatest impact on the locational decision for the store. However, we found individual stores positioned according to unique locational characteristics in addition to the demographic factor. It means that we have to additionally consider if the vicinity of the market is based on any physical properties. Many previous studies proposed four decision factors for store location: the economic factor, the demographic factor, the land utilization factor, and traffic factor. However, the fivefold factors-our distinctive contribution-are more concrete and persuasive according to Korean reality. We show that location preference is based on the following criteria: (1) the area is densely populated, (2) houses stand close together, (3) residents have a high income level, (4) road traffic is developed and easy to access, and (5) public transportation is well developed. The demographic factor has the greatest impact on the location of a discount store. The number of households has a greater relevance to the demographic factor than does the individual consumer. Second, discount stores relatively prefer places where houses are located close together because such places offer easy access to the market. Third, a place whose residents have a high income level will be preferred, with its large cars and excellent traffic conditions. Fourth, a location would be highly rated if the roads around commercial facilities are well developed and their accessibility is good. Finally, discount stores must be located close to bus stops because female consumers, including housewives-the most important customers-evaluate stores based on distance. In this research, the variable of consumer attitude and preference was excluded, and the location factors of discount stores were analyzed according to a microscopic view through physical spatial data. In the future, the opening of new discount stores based on the five factors indicated above will require a comparatively shorter time from the first project feasibility analysis. In addition, the result of our study can be applied to the field of public policy for constructing and attracting large-scale distribution facilities.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.19-43
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• 2016

This study examines the causes of the Asian exchange rate crisis and compares it to the European Monetary System crisis. In 1997, emerging countries in Asia experienced financial crises. Previously in 1992, currencies in the European Monetary System had undergone the same experience. This was followed by Mexico in 1994. The objective of this paper lies in the generation of useful insights from these crises. This research presents a comparison of South Korea, United Kingdom and Mexico, and then compares three different models for prediction. Previous studies of economic crisis focused largely on the manual construction of causal models using linear techniques. However, the weakness of such models stems from the prevalence of nonlinear factors in reality. This paper uses a structural equation model to analyze the causes, followed by a neural network model to circumvent the linear model's weaknesses. The models are examined in the context of predicting exchange rates In this paper, data were quarterly ones, and Consumer Price Index, Gross Domestic Product, Interest Rate, Stock Index, Current Account, Foreign Reserves were independent variables for the prediction. However, time periods of each country's data are different. Lisrel is an emerging method and as such requires a fresh approach to financial crisis prediction model design, along with the flexibility to accommodate unexpected change. This paper indicates the neural network model has the greater prediction performance in Korea, Mexico, and United Kingdom. However, in Korea, the multiple regression shows the better performance. In Mexico, the multiple regression is almost indifferent to the Lisrel. Although Lisrel doesn't show the significant performance, the refined model is expected to show the better result. The structural model in this paper should contain the psychological factor and other invisible areas in the future work. The reason of the low hit ratio is that the alternative model in this paper uses only the financial market data. Thus, we cannot consider the other important part. Korea's hit ratio is lower than that of United Kingdom. So, there must be the other construct that affects the financial market. So does Mexico. However, the United Kingdom's financial market is more influenced and explained by the financial factors than Korea and Mexico.

• Journal of Venture Innovation
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• v.4 no.3
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• pp.109-124
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• 2021

This study intends to find out the influence of a consumer's shopping style on impulse buying mediated by sales promotion, based on low-cost cosmetic goods. For the study, pleasure, economical, and convenience shopping styles were set as the independent variables, and impulse buying was set as the dependent variable, and as the mediating variable between the two, sales promotions such as price discount event, free giveaway event, and visit-inducing activity were reviewed. Accordingly, the influence relation of shopping style, sales promotion, and impulse buying were reviewed with hierarchical regression analysis to examine the mutual influence relation. The data for this study employed a structured questionnaire, and 230 copies were collected against men and women in their 20s-30s, who are the main consumers of low-cost cosmetic goods, and 197 faithful responses were analyzed, and the major findings from the analysis results are as follows. First, pleasure-style consumers were found to have influenced impulse buying, while economical-style consumers were found to have a negative influence, and convenience-style was found to have no significant relation. Second, as for the examination of the mediating effect of sales promotion, price discount event, free giveaway event, and visit-inducing activity were found to have a partial mediating effect on the influence of pleasure shopping style on impulse buying, and did not fulfill the economical shopping style mediating effect condition. Also, as convenience shopping style was found to be insignificant towards impulse buying, it was excluded from the mediating effect. Such result is thought to be a useful elementary material for establishing a sales promotion strategy according to shopping styles through the analysis of styles of major consumers in order to increase the sales of businesses. The theoretical and pragmatic implications of such study results were discussed and the future study directions were suggested.

• Journal of Venture Innovation
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• v.5 no.3
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• pp.71-80
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• 2022

The real estate market is an important part of a country's economy and plays a major role in economic growth through the growth of many related industries. Changes in interest rates affect asset prices and have a significant impact on housing prices. This study analyzed housing prices by dividing them into nationwide, local, and Seoul housing prices in order to analyze whether the effect of changes in interest rates on housing prices shows regional differences. The analysis was conducted from the first quarter of 2011 to the fourth quarter of 2021, and was analyzed using the DOLS model. The main analysis results are as follows. First, interest rates were found to have a significant negative effect on national housing prices, and a drop in interest rates significantly increased national housing prices and an increase in interest rates significantly lowered national housing prices. The consumer price index and loan growth rate also had a positive effect on housing prices nationwide, but statistical significance was not high. Second, interest rates had a negative effect on local housing prices, unlike national housing prices, but were not statistically significant. On the other hand, it was found that the consumer price index and loan growth rate had a larger and significant positive effect on local housing prices compared to national housing prices. Finally, it was found that the interest rate had the only significant negative effect on housing prices in Seoul. And this effect was greater and more significant than the effect on national and local housing prices. In the end, it was found that the effect of interest rates on Korean housing prices differs locally. Interest rates have a significant negative effect on national housing prices, and local housing prices, but they are not statistically significant. In addition, the interest rate was found to have the largest and most significant negative effect on housing prices in Seoul. In addition, it was found that there was a difference in the effect of macroeconomic variables on housing prices. This means that there are differences between regions with different factors influencing local and Seoul housing prices, and this point should be considered when drafting and implementing real estate policies.

• The Korean Journal of Applied Statistics
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• v.23 no.1
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• pp.63-71
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• 2010

Business entrepreneurs reflect their views of domestic and foreign economic activities on their operation for the growth of their business. The decision, forecasting, and planning based on their economic sentiment affect business operation such as production, investment, and hiring and consequently affect condition of national economy. Business survey index(BSI) is compiled to get the information of business entrepreneurs' economic sentiment for the analysis of business condition. BSI has been used as an important variable in the short-term forecasting models for business cycle analysis, especially during the the period of extreme business fluctuations. Recent financial crisis has arised extreme business fluctuations similar to those caused by currency crisis at the end of 1997, and brought back the importance of BSI as a variable for the economic forecasting. In this paper, the meaning of BSI as an economic sentiment index is reviewed and a GUIDE regression tree is constructed to find out the factors which affect on BSI. The result shows that the variables related to the stability of financial market such as kospi index(Korea composite stock price index) and exchange rate as well as manufacturing operation ratio and consumer goods sales are main factors which affect business entrepreneurs' economic sentiment.

• Culinary science and hospitality research
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• v.22 no.3
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• pp.240-253
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• 2016

The purpose of this study is to predict factors influencing participant demand for the temple stays and to help find alternatives for temple stay marketing strategies. Specifically, the study sought to examine input variables on the visit frequency of temple visitors who partook in temple food. Research subjects were temple stay participants with experience with temple food. Through convenience sampling method, 300 self-administered questionnaires were distributed to participants at 4 temple stays in Seoul. Of the 278 questionnaires collected, 232 (83%) were used for research analysis. Given that the requirement that proper model for analysing the collected data be applied, the Truncated Negative Binomial(TNB) Poisson model, which is useful for analysing count data that are truncated at '0' and overcrowded with a certain value, was selected fort his study. Study results found that, for temple stay food revitalization, the most crucial item for temple food proponents to recognize is natural food ingredients. The degree of affection was higher among respondents over 40 years of groups and with incomes over 40 million won or more than others. In addition, unmarried and male were higher than married and female, and the Christian population in the temple food demand higher impact than Shamanism community. This match should be a priority to establish an in-depth public relations policy of targeted marketing of consumers according to various demographic characteristics. Active and aggressive efforts to expand food inspection are required to promote the healthy image of the temple food to the fragmentation of consumer marketing hierarchy.

• Journal of Family Resource Management and Policy Review
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• v.19 no.2
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• pp.1-26
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• 2015

The purpose of this study was to analyze the quality of life (QoL) of elderly women and the effect of social support on their QoL. The data were used 'urvey on the Elderly in 2011', which was held from 'Ministry of Health & Welfare' and 'Korea Institute for Health and Social Affairs'. Among the total 15,146 respondents, 3,880 of elderly women whose age was over 65, and who did not live together with their married children were included in the analysis. Multiple regression analysis and path analysis were used to analyze the research model. The findings were as follows. First, from the fact that the elderly women showed the highest mean in 'contact frequency with friends' among social support, it seemed that the elderly women contacted their friends more than their children in their old age. Among the support types from their children, elderly women received emotional support, physical support, instrumental support in order and irregular cash as a way of economic support. Second, from the regression results, the most critical factor that affected the QoL of elderly women was 'subjective physical condition level' and 'subjective standard of living' comes next. Third, the most important factor was 'subjective standard of living' from path analysis results, and 'subjective physical condition level' and 'total amount of annual income' in order. Also, social supports such as 'phone call contact frequency with children', 'emotional support from children', phone call contact frequency with relatives', 'phone call contact frequency with friends' positively affected the QoL of elderly women. Therefore, raising social supports from children, relatives, and friends positively contributes to improve the QoL of elderly women directly and indirectly. The results show that social supporters, which is a part of the structural aspects of social support, and types of social support, which lies in functional aspects, directly affect QoL of the elderly women and turn out to be factors that improve the QoL as mediating variables. It is concluded that the social supports can be the most important resources that make up declining personal and social resources in old age and maintain the QoL of elderly women.

• Journal of Family Resource Management and Policy Review
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• v.16 no.1
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• pp.199-227
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• 2012

Studies of leisure time generally have been concentrated on the amount of time spent by each family member in Korea. In this study, the shared leisure time among family members in various leisure activities was mainly investigated. Purposes of this study were to describe how family members spent the leisure time together and to investigate the determinants that affected whether or not family shared leisure time together. The data source was the '2009 Time Use Survey' conducted by the Korea National Statistical Office. The person involved in each activity was surveyed for the first time in the survey. The data from 17,470 diaries(10,359 weekdays and 3,549 Sunday) from 8,745 individuals aged from 20 to 59 who had a spouse were analyzed. The descriptive statistics and logistic regressions were used. On average, married couples spent leisure time together with spouses 36 minutes a day on weekdays and 1 hour and 38 minutes on Sunday, respectively. Parent did with preschool children 5 minutes a day on weekdays and 15 minutes on Sunday, respectively. The shared leisure time with other family and relatives was 22 minutes a day on weekdays and 1 hour and 13 minutes on Sunday, respectively. Although there was a wide variation on the shared family leisure time by the types of activities, the main shared leisure activity was using mass media, which accounts for about two third of all shared leisure time together with family. Independent variables, including the age, sex, education level, working hours, personal income, presence of preschool children, marital status, sex role attitude, and dual or single income earner were the significant determinants of family's or couple's parent-preschool children's shared leisure time on weekdays or Sunday. Based on the results of this study, family and leisure policy were suggested to increase active family shared leisure time.

• Journal of Energy Engineering
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• v.22 no.4
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• pp.370-375
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• 2013

This paper attempts to estimate the city gas demand function in Korea over the period 1981-2012. As the city gas demand function provides us information on the pattern of consumer's city gas consumption, it can be usefully utilized in predicting the impact of policy variables such as city gas price and forecasting the demand for city gas. We apply lagged dependent variable model and ordinary least square method as a robust approach to estimating the parameters of the city gas demand function. The results show that short-run price and income elasticities of the city gas demand are estimated to be -0.522 and 0.874, respectively. They are statistically significant at the 1% level. The short-run price and income elasticities portray that demand for city gas is price- and income-inelastic. This implies that the city gas is indispensable goods to human-being's life, thus the city gas demand would not be promptly adjusted to responding to price and/or income change. However, long-run price and income elasticities reveal that the demand for city gas is price- and income-elastic in the long-run.

• Culinary science and hospitality research
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• v.21 no.3
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• pp.29-39
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• 2015

This study examined the factors that affect the relationship among local specialties food quality, value perception and customer behavioral intention. A total of 280 questionnaires were distributed to consumers, of which 268 were deemed suitable for analysis after the removal of 12 unusable responses. In order to perform statistical analyses required for the study, SPSS 18.0 Statistical Program was employed for frequency analysis, factor analysis, and reliability analysis. The results of the exploratory factor analysis showed that three factors regarding local food specialties quality were extracted from all measurements with a KMO of 0.827 and a total cumulative variance of 65.638%. With regard to value perception, six factors were extracted with a total cumulative variance of 59.855% and a KMO score of 0.782. One factor for behavioral intention was extracted that accounted for a total cumulative variance of 64.427% and a KMO score of 0.757. 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 relationships between value perception and behavioral intention was partially adopted.