• Journal of the Korean Geographical Society
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• v.47 no.4
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• pp.606-624
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• 2012

The main objective of this paper is to provide an adequate and comprehensive review of what has been done in South Korea in the field of geospatial analysis and modeling. This review focuses on spatial data analysis and spatial statistics, spatial optimization, and geosimulation among various aspects of the field. It is recognized that geospatial analysis and modeling in South Korea got through the initial stage during the 1990s when computer and analytical cartography and GIS were introduced, moved to the growth stage during the first decade of the $21^{st}$ century when there was a surge of relevant researches, and now is heading for its maturity stage. In spatial data analysis and spatial statistics, various topics have been addressed for spatial point pattern data, areal data, geostatistical data, and spatial interaction data. In spatial optimization, modeling and applications related to facility location problems, districting problems, and routing problems have been mostly researched. Finally, in geosimulation, while most of research has focused on cellular automata, studies on agent-based model and simulation are in beginning stage. Among all these works, some have fostered methodological advances beyond simple applications of the standard techniques.

• Journal of Distribution Science
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• v.7 no.3
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• pp.5-24
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• 2009

In the retail management, store location has an important influence like business skills. The reason for failure to selecting location is that the market analysis model is not popular in business field. It gets worse in supermarket industry. Currently, store developers are relying on simple statistics and the sixth sense as market analysis techniques. lt proves that the market analysis model is not distributed well in the field. This market analysis model can apply to medium and small business market using an existing market analysis model, broad market model. And its study outcome can be theorized as a result. Converse's new retail model can be used as to analyze junction market. Pareto_Huff model can also be used to compute shopping probability. To do so, this study can be divided into walking distance market and driving distance market as a model market. Also it examines industry type such as SM and SSM. By taking consumer survey, condition of consumers to select store will be counted in shopping probability so that it improves the objectivity and reliability. Through this process, derived study outcome can be a new estimated revenue model for practical application of selecting store location in large and medium-sized supermarket.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.2
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• pp.559-567
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• 2017

The aim of this study was to identify the interrelationship among the motives for selecting a teaching profession, job satisfaction, and the burnout of preschool teachers. In particular, this study examined the mediating effect of job satisfaction on the relationship between their motives and burnout. Data were collected from a group of 200 kindergarten and daycare center teachers working in Seoul, Choongnam and Kyeonggi Provinces. Data analysis was conducted using the PASW Statistics 18.0. The results are as follows. First, there were correlations among their motives for occupational choice, job satisfaction, and burnout. Their motives for selecting a teaching profession and job satisfaction had an influence on their burnout. Second, job satisfaction had a mediating effect on the relationship between motives for selecting a teaching profession and burnout of preschool teachers. These results suggest that improvements of their job satisfaction would help alleviate their burnout and mediate the influence of motives for selecting a teaching profession.

• Culinary science and hospitality research
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• v.16 no.3
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• pp.147-160
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• 2010

This study aims to analyze the effect of emotional response from dining out experience on satisfaction after dining out based on the customers who have visited a luxurious Korean restaurant. For this study, it designed a research model through literary research and derived hypotheses. For the empirical analysis, 250 copies of the questionnaire using the self-administered method were distributed and 230(94%) copies were collected. Among them, 220(88%) copies were used for the analysis. SPSS WIN Version 12.0 statistical package program was used for the analysis of data processing, the frequency analysis, reliability analysis and factor analysis were operated, and the hypothesis testing was verified by the regression analysis. The results of the analyses are as follows. For the hypothesis that "the dining-out consumption pattern will have a significant effect on the emotional response," it was verified that the style which pursues health and the style which is loyal to relationships had significant effects on pleasure while the style which pursues rest didn't. Also, the style which pursues health and the style which is loyal to relationships had significant effects on arousal while the style which pursues rest didn't. For the hypothesis that "emotional response will have a significant effect on satisfaction," it was verified that pleasure and simulation had significant effects on satisfaction. As a result of the study, the current dining-out consumption pattern is changed from the purpose of having meals for the biological needs in the past to considering emotional response such as preferred taste or mood.

• Environmental and Resource Economics Review
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• v.31 no.2
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• pp.291-317
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• 2022

This study tried to analyze the factors affecting consumers' vehicle selection for the spread of eco-friendly vehicles. We used the energy census data for this purpose, and although the energy census collects useful information from a large number of samples, it has been limitedly used to create simple statistics in many cases. Based on 2,771 transport sector microdata from the 2017 Energy Census, we collected vehicle price, fuel efficiency, and number of vehicle models, which are alternative characteristic variables that change according to consumers' choice, and converted and analyzed data to enable conjoint analysis. The analysis results in two-folds. First, it was confirmed that the official fuel efficiency of a vehicle and the fuel cost, which is affected by changes in the relative price of each fuel, are important variables in selecting an eco-friendly vehicle. In order to achieve the goal of spread of eco-friendly vehicles, it is necessary to develop technologies to improve fuel efficiency and set appropriate electric rates for charging electric vehicles. Second, an increase in the number of vehicle models through the expansion of the eco-friendly car industry and market also affects consumers' choice of eco-friendly vehicles, so efforts to expand the supply of eco-friendly vehicles will be an important factor. In addition, it is also significant that this study showed that the use of the energy census can be diversified by deriving meaningful policy implications using the results of the energy census periodically conducted in the country without a separate survey.

• International Commerce and Information Review
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• v.19 no.1
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• pp.67-98
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• 2017

This study intended to investigate to what extent country image of America and previous visit experience affect the cross-border shopping intention. In particular, the present study used a country image measurement brought from another research study the factors of which are economy-technology image, social-cultural image, and citizen image. A total of 155 respondents participated in the survey targeting Korean citizen for the present study. Single regression, multiple regression, and independent t-test were conducted for data analysis. The result of the single regression indicated that country image is a critical predictor of cross-border shopping intention. The Multiple regression revealed that among three factors composing country image, social-cultural image plays the most significant and economy-technology image plays the second-most significant role in influencing cross-border shopping intention. However, it was found that citizen image does not play a substantial role for some reason. Moreover, the result of t-test showed that those who have a prior visit experience to America are more likely to buy products online from America than those who don't have prior visit experience. More detailed findings and implications will be discussed in the manuscript.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.4
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• pp.345-376
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• 2014

This study examined (1) what effect emotional labor has on an university library, focusing on (2) the relationship among a supervisor's emotional intelligence, the extent of social support and the level of library service on job performance. The survey period took place from 14 Oct. to 4 Nov. 2013. 533 librarians at 13 public and 28 private university libraries were included in the survey. Of the 533 surveys distributed, 529 were returned and used in the final analysis. SPSS Win 21.0 was used for statistical analysis, factor analysis, regression analysis and differential analysis. The survey also shows that a librarian's emotional labor affects emotional intelligence of supervisor, social support and library service level positively. This finding is not the case for the employees in the general service industry. Because the librarian is professional and manages stress better than general employees. This research suggest the following practical measures. Educational programs for librarian's emotional intelligence should be planned in order to improve library service.

• Korean Journal of Construction Engineering and Management
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• v.23 no.5
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• pp.3-14
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• 2022

Construction projects have high potentials of claims among a variety of stakeholders. Claims on their own are not disputes but they have high potentials leading to disputes if agreements are not made between parties due to conflicting opinions. In the event of the construction disputes between clients and contractors, it could give negative impacts to both parties and, to minimize or pro-actively manage construction disputes, the role of clients is more significant. The objective of the study is to analyze a level of associations between the types of disputes and causes of construction projects based on the association rule analysis, and to identify and discuss key characteristics and implications from client's perspectives. The study analyzes associations between the types of disputes and causes, and also identifies those with a high level of associations. It also presents the outcomes of more systematic analysis compared to descriptive statistics just based on frequencies. Through the analysis of the data cases, the study proposes the directions to resolve the causes of disputes from client's perspectives. It can assist to improve understandings of the relationships between the types of disputes and causes and to pro-actively manage the disputes of construction projects.

• Clinical and Experimental Pediatrics
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• v.52 no.2
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• pp.199-204
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• 2009

Purpose : Seizure associated with fever may indicate the presence of underlying inherited metabolic diseases. The present study was performed to investigate the presence of underlying metabolic diseases in patients with complex febrile seizures, using analyses of urine organic acids. Method : We retrospectively analyzed and compared the results of urine organic acid analysis with routine laboratory findings in 278 patients referred for complex febrile seizure. Results : Of 278 patients, 132 had no abnormal laboratory findings, and 146 patients had at least one of the following abnormal laboratory findings: acidosis (n=58), hyperammonemia (n=55), hypoglycemia (n=21), ketosis (n=12). Twenty-six (19.7 %) of the 132 patients with no abnormal findings and 104 (71.2%) of the 146 patients with statistically significant abnormalities showed abnormalities on the organic acid analysis (P<0.05). Mitochondrial respiratory chain disorders (n=23) were the most common diseases found in the normal routine laboratory group, followed by PDH deficiency (n=2) and ketolytic defect (n=1). In the abnormal routine laboratory group, mitochondrial respiratory chain disorder (n=29) was the most common disease, followed by ketolytic defects (n=27), PDH deficiency (n=9), glutaric aciduria type II (n=9), 3-methylglutaconic aciduria type III (n=6), biotinidase deficiency (n=5), propionic acidemia (n=4), methylmalonic acidemia (n=2), 3-hydroxyisobutyric aciduria (n=2), orotic aciduria (n=2), fatty acid oxidation disorders (n=2), 2-methylbranched chain acyl CoA dehydrogenase deficiency (n=2), 3-methylglutaconic aciduria type I (n=1), maple syrup urine disease (n=1), isovaleric acidemia (n=1), HMG-CoA lyase deficiency (n=1), L-2-hydroxyglutaric aciduria (n=1), and pyruvate carboxylase deficiency (n=1). Conclusion : These findings suggest that urine organic acid analysis should be performed in all patients with complex febrile seizure and other risk factors for early detection of inherited metabolic diseases.

• Journal of Korean Society of Transportation
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• v.35 no.6
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• pp.469-480
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• 2017

On April 1, 2004, KTX (Korea Train eXpress), the first HSR (High-Speed Rail) in Korea, was introduced to Gyeongbu Line. The introduction of the KTX service led to a change in the number of passengers for Gyeongbu Line. Previous studies have analyzed the pre and post-event changes of the intervening events by either simple statistics or intervention ARIMA analysis. However, the intervention ARIMA model has a limitation that several assumptions such as the occurrence time and the type of intervention events are necessary. To this end, this study analyzed the effects of intervention event on the number of passengers using the Gyeongbu line based on a time series outlier detection technique which can overcome limitations in the previous studies. The time series outlier detection technique can analyze the time, effect type and size of an intervention event without the assumption of the time and effect type of the intervention event. The data were collected from the Korea Transport Database (KTDB) for twelve years from 2003 to 2014 (144 months). The analysis results showed that the size of the influence type in the same intervention events was different across the major city routes, and the intervention event which could not be found by previous study methods was also found.