• Journal of Distribution Science
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• v.11 no.2
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• pp.23-33
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• 2013

Purpose - Numerous studies have tried to assess the role of a warranty as an explanatory instrument for product quality. While one study argued that manufacturers signal their superior quality to consumers by extending the duration of a warranty, quality is not necessarily related to warranty and a warranty for a short duration is a sign of high product quality. However, there are limitations to measuring product quality in terms of a single variable such as a warranty. Some other studies have evaluated the influence of brand power or value and price on the supposed quality of a product while the influence of warranty was found to be insignificant. Research design, data, methodology - The study analyzes the influence of brand power and the country of origin effect on consumers' perception of product quality in line with warranty and establishes a priority strategy. Especially, consumer experience has a significant influence on state of the art technology products like applied home electronics as these goods are generally quite expensive and consumers expend significant energy in purchasing them, so the associated warranty and brand can have a critical role in the decision making process. The price of the product was excluded in this discussion as it continually varies with the market share of the product. Results - The results of the analysis are as follows: First, each of the factors such as the standard of the warranty, brand power, and country of origin effect influences the degree of satisfaction of an individual. Second, the factors brand power and quality of the warranty interact both complementarily and synergistically at a time, depending on the brand power. As brand power is more significant, the degree of satisfaction is greater in case of products with low quality warranty compared to those with high quality warranty. Third, the brand power and country of origin effect present a complementary interaction. Fourth, the country of origin effect and quality of a warranty interact synergistically. Conclusions - Thus, the higher the quality of warranty, greater is the increment in the degree of satisfaction. The comprehensive study on the effect of the country of origin on the purchase decision process and the degree of satisfaction compared to the other elements shows that in case of Japanese and Korean markets the brand power of a company is desirable in sustaining the quality of warranty to the industrial average. Also, there is no significant improvement in the perceived quality of the product when the quality of the warranty is lowered. Therefore, the warranty effect diminishes when the value of the brand is known, while it perishes when both the brand power and the country of origin effect are strong enough.

• Journal of Korea Technology Innovation Society
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• v.10 no.1
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• pp.164-181
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• 2007

This paper empirically analyzes determinants of DTV (Digital Television) adoption in household survey data with IT-related household demand characteristics. To this purpose, we conducted a survey for the adoption of DTV to 1,000 households nationwide. In the questionnaire, various questions asking socio-economics characteristics such as age, education, income were included. Also, status of adoption and usage of IT services such as paid broadcasting, internet, and DVD were asked. To analyze the determinants of intention of purchasing, decision of purchasing, and the timing of purchasing DTV, we adopted the ordered logit, binary logit and multinomial legit models. When there is an order among groups, ordered logit was employed and when there is no orders among groups, multinomial logit was emplyed for the estimation. It is found that when conditions of other explanatory variable are constant, the more educated household heads are, the more probable they become early adopters of DTV. It is also found that other conditions being constant, the income level of households and IT-related household demand characteristics are very important factors affecting DTV adoption. Since the likelihood of purchasing DTV is much higher for those who know the government policy of analog broadcasting termination schedule than others who do not know, dissemination of the Korean government's digital broadcasting policy will affect significantly the adoption of DTV. And policy with various incentives ought to be employed to accelerate DTV adoption, because households with the older TV sets are more likely to purchase DTV. It is suggested that the Korean government should develop policy to connect both DBS (Direct Broadcast Satellite) and DTV since DBS subscribers are more likely to be an early adopter than non-subscribers.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.146-152
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• 2016

The purposes of this study were to investigate the effects of professional soldiers' family healthiness on the organizational effectiveness of the military and test for any differences in the structural modeling path caused by the mediating effects of empowerment depending on whether they lived with their families or not. Data were collected with a self-administered survey distributed to 480 professional soldiers after the approval of the Ministry of National Defense. The data collected were then analyzed using descriptive statistics, structural equation modeling, and multi-group analysis. The analysis results show that the family healthiness of all of the professional soldiers had direct or indirect effects on their organizational effectiveness via empowerment and that family healthiness was a variable with a very large explanatory power for organizational effectiveness. Both family healthiness and empowerment had effects on the organizational effectiveness of the solders that were living with their families and those who lived separately from their families. The levels of family healthiness, empowerment, and organizational effectiveness were all high among the professional soldiers that were living with their families and all low among those who were not. Increasing the family healthiness and empowerment was found to enhance the organizational effectiveness in all of the models, and a higher organizational effectiveness would be expected from professional soldiers living with their families. These findings led to a proposal that various plans should be prepared to help professional soldiers live with their families and provide them with family welfare support.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.395-402
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• 2018

This study was conducted to identify factors influencing subjective happiness among nursing students. Participants consisted of 147 nursing students who were in the third and fourth years at two universities located in the Chungbuk and Kyungbuk provinces. Data were collected using questionnaires that looked at college-based stress, clinical-based stress, self-esteem, and subjective happiness from September 26 to October 29, 2016. Collected data were analyzed using the SPSS 22.0 statistics program with descriptive statistics, an independent t-test, analysis of variance (ANOVA), Scheffe's test, and hierarchical regression. The mean score for subjective happiness was 19.91 (range: 4 to 28). The mean for college-based stress was 2.92, and clinical-based stress was 2.61 (range: 1 to 5). The mean for self-esteem was 29.74 (range: 10 to 40). The significant predictors of subjective happiness in nursing students were self-esteem (p<.001), economic status (p=.002), interpersonal relationships (p=.001), and satisfaction with their major (p=.003). The explanatory power of variance was 68%, with self-esteem serving as the major predictor variable for subjective happiness. Therefore, we need various strategies that can enhance self-esteem, satisfaction with the major, and interpersonal relationships in order to improve nursing students' subjective happiness.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.301-310
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• 2018

This study was conducted to investigate the relationship between physical function (ADL, IADL) and mental function (depression, cognitive dysfunction) and quality of life in the elderly. The subjects of this study were 524 elderly people aged 65 or older who were admitted to 15 care facilities located in D metropolitan city. Data were collected through a personal interview conducted by interviewers that visited each care facility from November 2015 to January 2016. T-tests and ANOVA were used to compare the quality of life score for each independent variable, while multiple regression was used to determine the explanatory power of independent variables that affected quality of life. Quality of life was significantly lower among those of older age, lower educational level, living alone, with lower relationships with children, lower subjective health status, disability, lower ability for mastication, without regular eating habits, without regular exercise, and without regular health checkups. In addition, quality of life was significantly lower in the ADL and IADL, as well as among those with a higher depression level and lower cognitive impairment scores than their respective counterparts. The results of this study suggest that the quality of life among elderly that have been admitted to care facilities is significantly related to physical and mental functions as well as demographic characteristics, health status and health related behavioral characteristics.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.7
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• pp.297-306
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• 2017

Citizens want more accurate forecast information using Bus Information System. However, most bus information systems that use an average based short-term prediction algorithm include many errors because they do not consider the effects of the traffic flow, signal period, and halting time. In this paper, we try to improve the precision of forecast information by analyzing the influencing factors of the error, thereby making the convenience of the citizens. We analyzed the influence factors of the error using BIS data. It is shown in the analyzed data that the effects of the time characteristics and geographical conditions are mixed, and that effects on halting time and passes speed is different. Therefore, the halt time is constructed using Generalized Additive Model with explanatory variable such as hour, GPS coordinate and number of routes, and we used Hidden Markov Model to construct a pattern considering the influence of traffic flow on the unit section. As a result of the pattern construction, accurate real-time forecasting and long-term prediction of route travel time were possible. Finally, it is shown that this model is suitable for travel time prediction through statistical test between observed data and predicted data. As a result of this paper, we can provide more precise forecast information to the citizens, and we think that long-term forecasting can play an important role in decision making such as route scheduling.

• Journal of Global Scholars of Marketing Science
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• v.17 no.1
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• pp.1-21
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• 2007

This study seeks to understand the effects of information search activities and brand image on the hotel patronage intention based on the theory of reasoned action. First, it investigates the influence of attitude formed about hotel on the patronage intention. Second, it seeks to develope an alternative to TRA by looking into the effects of hotel image variable on hotel-specific attitude and patronage intention and attempts to substantiate the role of brand image as a substitute to subjective norm to increase the TRA's explanatory power. The main finding of this study are as follow; First, out of the three components of cognitive evaluation of hotel (human service, physical service and information service), human and physicial services were found to have significant influence on patronage intention. Brand image was found to exert notable influence on attitude toward hotel as well as patronage intention. Remarkably, the finding that brand image positively enhanced the TRA model sheds new strategic insight as to the usefulness of brand image as an alternative to overcome the TRA's limitation stemming from subjective norm. Third, it was learned that study subjects gave more weight to external information sources such as TV, radio, newspaper, magazine, and internet than to internal sources such as individual knowledge, experience or self image.

• Spatial Information Research
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• v.18 no.4
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• pp.1-11
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• 2010

Unlike the previous studies which have focused on 2-dimensional urban characteristics, this paper presents statistical models explaining urban heat island(UHI) effect by 3-dimensional urban morphologic information and addresses its policy implications. 3~dimensional informations of Columbus, Ohio arc captured from LiDAR data and building boundary informations are extracted from a building digital map, Finally NDV[ and temperature data are calculated by manipulating band 3, band 4, and thermal hand of LandSat images. Through complicated data processing, 6 independent variables(building surface area, building volume, height to width ratio, porosity, plan surface area) are introduced in simple and multiple linear regression models. The regression models are specified by Box-Tidwell method, finding the power to which the independent variable needs to raised to be in a linearity. Porosity, NDVI, and building surface area are carefully chosen as explanatory variables in the final multiple regression model, which explaining about 57% of the variability in temperatures. On reducing UHI, various implications of the results give guidelines to policy-making in open space, roof garden, and vertical garden management.

• Journal of Korean Society of Transportation
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• v.22 no.7 s.78
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• pp.79-90
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• 2004

In this study, we applied the Bayesian Networks for the case of the trip generation models using the Seoul metropolitan area's house trip survey Data. The household income was used for the independent variable for the explanation of household size and the number of cars in a household, and the relationships between the trip generation and the households' social characteristics were identified by the Bayesian Networks. Furthermore, trip generation's characteristics such as the household income, household size and the number of cars in a household were also used for explanatory variables and the trip generation model was developed. It was found that the Bayesian Networks were useful tool to overcome the problems which were in the traditional trip generation models. In particular the various transport policies could be evaluated in the very short time by the established relationships. It is expected that the Bayesian Networks will be utilized as the important tools for the analysis of trip patterns.

• Journal of Korean Society of Transportation
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• v.35 no.4
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• pp.321-331
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• 2017

The objective of this study is to analyze the factors affecting the pedestrian accidents of roundabout near schools. To this end, this study has focus on the comparative analysis of pedestrian accidents across different school areas. The traffic accident data from 2007 to 2014 are collected from TAAS data set of Road Traffic Authority. To develop the pedestrian accident rate model, the linear regression model has been utilized in this study. 28 explanatory variables such as geometry and traffic volume factors are used. The main results are summarized as follows. First, the null hypotheses that the number of pedestrian accidents are the same are rejected. Second, 5 multiple linear regression accident models with higher statistical significance (adjusted $R^2$ of 0.651~0.788) have been developed. Third, while the common variables of 3 models (model I~III) related to school location are evaluated to be the pedestrian island, crosswalk, types of roundabout, elementary school and bus stop. Fourth, while the common variable of 3 models (model III~V) related to near school area or not is evaluated to be pedestrian island, type of roundabout, sidewalk, elementary school, speed hump, speed limit sign and number of entry lane. As a result, the installation of pedestrian islands and crosswalk might be expected to decrease the number of pedestrian accidents near schools.