• Journal of Navigation and Port Research
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• v.31 no.2
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• pp.133-139
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• 2007

Relative importance of maritime transport that takes charge of main current of freight in country' economy is very large. Especially, port and facility carry out important role which treats freight of import and export smoothly and improves international trade as turning point, to achieve key role on connection and association between sea and land. For such reason, enlargement of port facilities or development of port needs to grasp exactly the utilization of port, attributes and selective factors of shipper. On the other hand, the amounts of physical distribution on Mokpo port located in Korean west coast are increasing, with fast economic growth of East Asian including China. This study uses discrete choice model that is measuring to analyze attribute and characteristic of Mokpo port, and analyzes port selection by decision factors of shipper. This paper composed a questionnaire using the result of preceding research, to decide port selection factor among competitive ports. Through factor analysis on a basis of the questionnaire' result, five principal components were extracted. These are resorted out by Logit model, to grasp competitive elements of port. This research fin present direction which raises competitive power of ports in west coast of Korea, especially on alternative and concentration of middle-class port as Mokpo may be useful.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.3
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• pp.317-322
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• 2011

Korean adults' internet addiction diagnosis measure, K-scale developed by Korea National Information Society Agency (NIA), has composed of 4 categories including 20 items. This scale can diagnose user's internet addiction with individual's questionnaire items. Most of previous research works were tried to know reasons of internet addiction and to judge whether adolescents are addicted or not with their samples. In this research, it is the goal to find the key component to judge individual's internet addiction by using a decision tree in the data mining field and a principal component analysis in statistics. From the experimental results, we would discover that tolerance and preoccupation factor is the most important one to affect adult's internet addiction.

• Journal of Engineering Education Research
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• v.25 no.5
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• pp.12-19
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• 2022

This study explored the determinants of first job employment outcomes(employment status, salary, company size) of engineering college graduates using 2018 Graduates Occupational Mobility Survey(GOMS) data. Independent variables were used as variables for personal characteristics, academic background, and job preparation efforts. The priorities and interactions between the factors determining employment outcomes were identified using the decision tree analysis. The research results are as follows. First, it was found that the most important factor in determining the 'first job employment status' was 'exam preparation(public and private company, test for teacher recruitment)' among individual's job preparation efforts. Second, the most important factor in determining 'first job salary' was 'gender' among individual characteristics. Third, the most important factor in determining the 'first company size' was the experience of 'corporate job aptitude study' among individual's job preparation efforts. Based on the results of the analysis, suggestions for establishing customized career development strategies for engineering college students were presented.

• Journal of the Korean association of regional geographers
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• v.15 no.3
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• pp.409-420
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• 2009

This study aims at analyzing location and policy factors influencing the move-in decision of apartment factories on the case study of middle and small sized companies in Daegu City. The main results of this study are as follows. Firstly, analyzing the questionnaire survey results, 58.2% of response companies have the intentions to move-in apartment factories. Secondly, through the factor analysis to the location factors, 5 factors such as network, move-in cost, accessibility, factory space and labor are derived. And through the factor analysis to the policy factors, 3 factors such as management support policy, pecuniary support policy and administrative support policy are also derived. Finally, analyzing logistic regression analysis, we can find pecuniary support policies influence the move-in decision of apartment factories.

• Child Health Nursing Research
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• v.18 no.2
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• pp.53-59
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• 2012

Purpose: This study was done to verify the reliability and validity of the Korean version of DMCI in Korean adolescents. Methods: A methodological study design was used with Cronbach's ${\alpha}$ for reliability, and an exploratory factor analysis and contrasted groups approach for construct validity. DMCI was translated into Korean and tested with a sample of 406 adolescents in Korea. The data were analyzed using Cronbach's ${\alpha}$, item correlation with total, principal component factor analysis, and t-test. Results: The translated content of the DMCI was validated by nursing faculty members and translation equivalency was obtained. The Cronbach's ${\alpha}$ of the DMCI simplified with 18 items was .78. The factor analysis revealed three factors explaining 41.5% of total variance and the corresponding factors were self-observation (21.6%), self-judgement (11.4%), and self-confidence (8.6%). The mean score for the DMCI in the aggression group was significantly lower than the non-aggression group. Conclusion: Results of this study suggest that the Korean version of DMCI can used as a reliable and valid measure to assess decision making competency in Korean adolescents.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.6
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• pp.60-69
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• 2012

Public Transport Information Service which use smartphone Apps has received attention as the way of solution that reduced transport problem. Smartphone can offer real-time information because of a LBS(Location Based Service) system. This study try to find out which factor affect mode choice ratio of public transport, especially smartphone Apps. The result shows that rising oil price, traffic congestion, public information service with smartphone apps, BIS(Bus Information System) factors get 0.39, 0.27, 0.18, 0.16 scores with paired comparison. Younger and student respondents prefer smart phone public information service. Decision Tree shows that the most important decision factor is smartphone information service factor.

• The Journal of Advanced Prosthodontics
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• v.10 no.6
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• pp.395-400
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• 2018

PURPOSE. This study tried to find the most significant factors predicting implant prognosis using machine learning methods. MATERIALS AND METHODS. The data used in this study was based on a systematic search of chart files at Seoul National University Bundang Hospital for one year. In this period, oral and maxillofacial surgeons inserted 667 implants in 198 patients after consultation with a prosthodontist. The traditional statistical methods were inappropriate in this study, which analyzed the data of a small sample size to find a factor affecting the prognosis. The machine learning methods were used in this study, since these methods have analyzing power for a small sample size and are able to find a new factor that has been unknown to have an effect on the result. A decision tree model and a support vector machine were used for the analysis. RESULTS. The results identified mesio-distal position of the inserted implant as the most significant factor determining its prognosis. Both of the machine learning methods, the decision tree model and support vector machine, yielded the similar results. CONCLUSION. Dental clinicians should be careful in locating implants in the patient's mouths, especially mesio-distally, to minimize the negative complications against implant survival.

• Korean Journal of Human Ecology
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• v.18 no.6
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• pp.1237-1246
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• 2009

This study was designed to identify and compare the consumption value and interest in appearance with regard to the comparison of men's cosmetics purchase decision factors. We conducted a survey among 259 men who have experienced the re-purchase of men's cosmetics. All data was analyzed with the SPSS Windows 17.0 program in terms of frequency, percentage, means, standard deviations, paired-t test, Cronbach $\alpha$, factor analyses, and multiple regression. In summary, three findings emerged from this study. First, men's cosmetics purchase decision factors included two subfactors: product quality factors (price, quality, skin compatibility, fragrance) and image factors (trend, brand image, consciousness of others, diversion). Second, a paired-t test revealed that the consideration toward the image factors of a first time purchase decision was lower than the re-purchase decision factors. However the consideration toward the product quality factors of a first time purchase decision was not different from the re-purchase decision factors. Third, the product quality factors were positively influenced by distinction factors of appearance and functional value. And social value, emotional value, and curiosity value were found to be effective in the image factors at the first time of purchase and re-purchase. Also, the product quality factors of re-purchase decisions were influenced by the satisfaction of the first time purchase. This study will contribute to provide some information for marketers in understanding men's cosmetics purchase decisions and to offer basic data for marketing strategies and product development.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.666-673
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• 2020

The purpose of this study was to investigate the relationship between dental decision factors and dental service satisfaction of the high school students. The study participants consisted of 300 high school students in some regions. A total of 288 were used for the final analysis, except 12 with insufficient responses. The data was analyzed by using SPSS 18.0 program. According to general characteristics, if there was no scaling experience, orthodontic treatment, high satisfaction with school life, the higher the subjective oral health status, the higher the satisfaction of the dental hospital. Hospital decision factors according to the general characteristics of the subjects most frequently answered that employee service satisfaction was important. As a result of testing the correlation between hospital decision factors and medical service satisfaction, there was a significant positive correlation between medical service satisfaction, such as facility, recommendation of others, use procedures, service adequacy, employee service satisfaction. As a factor influencing dental hospital satisfaction, subjective oral health was shown as a good criterion, and usage procedures and staff service satisfaction showed positive relevance. Continuous trust builds up is important to improve patient satisfaction.

• Journal of Fashion Business
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• v.22 no.4
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• pp.145-159
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• 2018

The present study was carried out to investigate the effects of career identity and social support on the career decision-making self-efficacy of women who have experienced career interruption. Furthermore, the aim was to seek effective measures for making a career decision for the successful re-employment of women with a break in their career. From March $3^{rd}$ to April $2^{nd}$, 2018, a survey was conducted targeting 380 career-interrupted, married women with age between 30-50 years and with work experience of more than six months. The selected subjects had received 1-9 months of beauty education from various vocational training institutes, beauty academies, and women's center in Seoul and Gyeonggi region. A total of 361 questionnaires were used for final analysis. The SPSS Program for data analysis, Cronbach's ${\alpha}$, exploratory factor analysis, factor analysis, frequency analysis, correlation analysis, and multiple regression analysis were employed for the study. The results of this study are as follows. It was apparent that the establishment of a career identity and social support could play important roles in creating a relation with new career decisions for re-employment. Thus, this study aims to provide basic data necessary for the successful career preparation in women with career interruption.