• The Journal of Society for e-Business Studies
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• v.15 no.2
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• pp.55-75
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• 2010

The primary purposes of this study are to find a proper model for government's selections of Mainbiz and present what are the better weights of the current indexes. We prepared three sets of models：first one using original 10 variables; second one using 9principally composed variables; third one using 7 principally composed variables. Among 3 models, the last one had higher explanation power than the other two models. Therefore, if index weights are adjusted according to the third newly developed model, the credibility in evaluating and selecting Mainbiz will be improved. When transforming the index weights and running the analysis, 5 variables(organization process, marketing management, management process, production-facility states, the level of forecasting) have more direct influences than other 4 variables(innovation strategies, knowledge management, achieving level, operational level) on selecting Main-biz.

• Journal of the HCI Society of Korea
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• v.11 no.1
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• pp.11-19
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• 2016

This study aimed to assess the economic value of the UX design and applied contingent valuation method (CVM) to the three smartphone screen unlock interface types: touch, fingerprint, and iris recognition. The contingent valuation method was chosen from various economic valuation approaches because the interface components such as the screen unlock are important user experience values but non-market goods which are not traded independently. Using the double-bounded dichotomous choice approach of the contingent valuation method, the survey results of the logit model showed that the economic value of touch unlock interface was 529 won, fingerprint was 4,214 won, and iris recognition was 1,316 won. That is, the fingerprint interface had the highest economic value, followed by iris recognition and touch interface. The main contribution of this research is that we examined a method for economic valuation of the UX design and generated systematic and credible results.

• Environmental and Resource Economics Review
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• v.32 no.3
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• pp.167-190
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• 2023

This study analyzes the potential demand for automobiles based on fuel type using survey data in Korea. The dependent variable of the model is the future desired fuel type, including gasoline, diesel, hybrid, electricity, and hydrogen. The main explanatory variables are the respondent demographic characteristics, key reasons for choosing vehicle fuel type and environmental awareness extracted via principal component analysis (PCA). Using a multinomial logit (MNL) model, we find that respondents who consider fuel economy and infrastructure increase the demand for a hybrid car but decrease the demand for electric and hydrogen vehicles. The denial-types increase the demand for gasoline (petrol) and diesel (light oil), and decrease the demand for electric vehicles. The anxiety-types increase the demand of hybrid vehicles, and decrease the demand for electric vehicles. In contrast, in the case of pro-types, the demand for diesel (light oil) hydrogen vehicles decreased.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.5
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• pp.2147-2156
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• 2013

This study aims to analyze the evaluation of the residential environment on the permanent rental housing in Busan. The Permanent Rental Housing policy is one of the special measures which contribute to getting the low-income urban dwellers settled in places of their own. Unfortunately the government has focused on expanding the quantity of housing even though housing doesn't mean just a physical object but the foundation of life. So the occupants who answered the survey lived in the permanent rental housing which were constructed by Busan Metropolitan Corporation. The purpose of the study is to give suggestions which can make up for dissatisfaction and apply preference of occupants based on the results of the research. The result of this study is in following; there were few significant managerial variables determinants of residential satisfaction. And significant variables are; position of rooms and bathroom facilities in internal building characteristics, color of apartment and playground in exterior building characteristics, commuting distance and viewshaft in locational characteristics. Therefore, the government needs to use cutting edge housing technologies aimed at improvement of residential environment and achievement of affordable expense simultaneously.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.4
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• pp.1307-1315
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• 2014

This study aims to analysis of determinants of the residents satisfaction of purchased rental housing and currently being implemented policy of supporting low-income families are empirically evaluated through the residential evaluation of purchased rental housing residents. Purchased rental housing users are possible to live in currently residing community consistently, have advantages for fewer problems of the phenomenon of social isolation, exclusion and preventing slumism of low-income families, are expected to increase in the future. First of all, the characteristics of residential environment, housing expenses and a head of household were examined for the residential environment evaluation of the residents of purchased rental housing, on the basis of this, the characteristics of internal and external house and residential location are examined each for the determinants of the residential environment satisfaction of purchased rental housing. The variables that affect residential satisfaction according to residential location are public facilities, educational facilities and welfare facilities respectively. In particular, the higher the satisfaction of access to welfare facilities, the higher the satisfaction of residential location of purchased rental housing was analyzed. The variables affecting the residential satisfaction according to the internal and external characteristics of house are significant in window status, cracking, heating facilities, housing scale and management.

• International Area Studies Review
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• v.12 no.3
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• pp.321-339
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• 2008

The purpose of this study to the analyze characteristics and purchasing activities of consumers by using the Multinomial Logit model, which is a well-known discrete selection model to explain and forecast consumers' selection activities(patterns). The study aims to determine the state of competition between National Brand and Private Band and how some demographic characters and marketing variables influence consumers' brand selections within the facial tissue market. Our analysis process includes reorganization of panel data(individuals' purchasing record at each point) to fit the purpose of our study as well as analysis of probability and influencing factors of consumers' brand selection at each point of purchases. The result showed that consumers at higher age and with higher income hold better probability to purchase National Brand. Likewise, locations also had considerable effect on selecting brand, and Private Brand was preferred in department store and discount stores. On the other hand, consumers loyal to National Brand reported higher probability to purchase if the product prices were higher while Private Brand buyers were more promoted the purchase under price discount.

• Information Systems Review
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• v.25 no.3
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• pp.59-81
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• 2023

Elderly suicide problem has become worse in South Korea. With a rapid aging of the population, the trend of suicide among the elderly is expected to accelerate, preventing elderly suicide has been considered an important societal problem. Thus, we aim to investigate various factors that explain suicidal ideation and to develop a predictive model for suicidal ideation in the context of elderly people in South Korea. To this end, this study contributes to addressing the elderly suicide problem. By using seven-year panel data from the Korea Welfare Panel Survey, we extract various potential causal factors for elderly suicidal ideation based on interpersonal theory of suicide and social disorganization theory. Then a panel logit model was employed to assess the impacts of potential factors on suicidal ideation and deep learning and machine learning algorithms were used to develop a predictive model for suicidal ideation of elderly people. The results of our study provide practical implications for preventing elderly suicide by identifying causal factors of suicidal ideation and a high suicidal risk group of the elderly. This study sheds light on synergy of mixed methodology and provides various academic implications.

• Journal of Preventive Medicine and Public Health
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• v.30 no.4 s.59
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• pp.729-740
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• 1997

To determine the relationship between hypertension and nutrient intake cross-sectional study were performed in a rural area. Adult resident over 30-year-old age were measured blood pressure and body mass index(BMI), and interviewed about food in-take for the previous 24 hours. 250 men and 297 women participated the survey. Significant correlation was showen in men between mean systolic blood pressure and protein density. Significant correlation with mean diastolic blood pressure was showen on protein density, protein energy(%), calcium density and energy-adjusted protein in men. We analysed risk factor for hypertension adjust the effect of age, BMI, sex and family history by multiple logistic regression. Protein density(odds ratio=3.18), fat density(odds ratio=1.94) and energy-adjusted protein(odds ratio=1.01) intake were positively associated with hypertension but sodium density(odds ratio=0.73) was showen to have inverse relationship.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.3D
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• pp.275-281
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• 2012

The aim of this study is to suggest the development direction of future space management. It is not a simple question that why people visit specific place. People visit a place for escape from routine, to learn from other people, spend a time with their friends or lover, to take a rest and get some fresh idea, to relieve stress, and for shopping. It is depend on a various visit motivation with complicated a psychological phenomenon. Visitor participate in choice a specific place by various motivation and purpose. Generally, visitor motivation accepted understanding visitor behavior and process of selected a place. Understanding that why people visit specific place can use a marketing and policy making of visit place so we need to study about visitor motivation. Data were collected through offline surveys from 501 people who have visited four survey place. Empirically analyzed the determinations of visitor motivation and estimate the place by using Ordinal Logit Model.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.214-222
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• 2018

The purpose of this study is to analyze the role of individualistic, family, and social characteristics of immigrant women on marriage on community integration. It is focused on exploring how the immigrant women on marriages' residential district differentiate community integration. The study adopts a questionnaire method in research of immigrant women on marriage in all parts of Korea. Data are collected from 163(Metropolitan Government & City), 182(Provincial Government) immigrant women on marriage for empirical analysis respectively. Technique used in analyzing data is Binary Logit Model primarily. In conclusion, on the results of test, it turned out to be strong significant influence on provincial regions than the metropolitan city regions statistically excepting family, and social characteristics.