• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.298-314
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• 2020

This study was conducted for the purpose of empirically analyzing the effects of the adolescents' relationships with major adults as the protection factors for their game addiction. Specifically, the discriminatory effects of adolescents' relationships with their parents, school teacher, and educational institute teachers on game addiction among elementary, middle, and high school students were compared. Analyzing the data from "2019 Korean Children and Youth Happiness Index" (N=7,454), it was found that adult relationships are significant factors explaining the level of game addiction even after controlling the influence of adolescents' demographic and social characteristics, game use behavior, and friend relationship factors. In the case of elementary school students, the relationship with their mothers reduces the risk of game addiction, while for middle and high school students, the relationship with fathers acts as a protection factor for game addiction. Meanwhile, the protection effects of the relationship between teenagers and school teachers on game addiction was found only in middle school students, and contrary to expectations, the relationship with the educational institute teacher did not have a significant impact on the game addiction of teenagers. Based on the above major research results, this study discussed on the development of programs and policies for the prevention and intervention of youth game addiction and provided suggestions for the follow-up research in the future.

• The Journal of Industrial Distribution & Business
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• v.9 no.5
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• pp.83-91
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• 2018

Purpose - The purpose of this study is to explore the introduction and activation of smart training for the effective training of vocational ability development of companies in the 4th industrial revolution era, we analyze the present status of smart training introduction and related difficulties and propose concrete activation plan. Research design, data, and methodology - Through the online survey, we tried to confirm the recognition of corporate about smart training. Questionnaires include what are the benefits, expectations, and difficulties of smart training, etc. The survey was conducted from August 21, 2017 to September 4, 2017. A total of 69 companies participated in the questionnaire. The questionnaire results were analyzed through frequency analysis and contents analysis. Based on the results of the questionnaire, we found out the cause of inhibition of smart training activation and suggested activation strategies. Results - The main reason for the provision of smart training is the expectation of the training performance and the recognition that it is possible to provide training in a flexible manner. The effectiveness of smart training operation was evaluated as a high level of contribution to the development of creative training course and the capacity of training institute. As a result of checking factors that hinders the activation of smart training, the most important reason is that the time and cost burden of the training institutes is excessive. The lack of expertise in the design of smart training courses and the burden of employers and trainees. Conclusions - In order to activate smart training, it is necessary to find solutions to the obstacles at the internal or external level of training institutions. The internal barriers to the training organization are lack of internal competence for preparation and course management. In this regard, we need to consider providing consulting, best practices or guidance in the process of designing and operating smart training. On the other hand, as an external obstacle factor, it is necessary to provide incentives to participate in smart training. In addition, further research is needed on strategies that can lead to participation in smart training from the viewpoint of employers and learners.

• The Journal of Industrial Distribution & Business
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• v.11 no.7
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• pp.29-40
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• 2020

Purpose: In modern society, many urban problems are occurring, such as aging, hollowing out old city centers and polarization within cities. In this study, we intend to apply big data and machine learning methodologies to predict depression symptoms in the elderly population early on, thus contributing to solving the problem of elderly depression. Research design, data and methodology: Machine learning techniques used random forest and analyzed the correlation between CES-D10 and other variables, which are widely used worldwide, to estimate important variables. Dependent variables were set up as two variables that distinguish normal/depression from moderate/severe depression, and a total of 106 independent variables were included, including subjective health conditions, cognitive abilities, and daily life quality surveys, as well as the objective characteristics of the elderly as well as the subjective health, health, employment, household background, income, consumption, assets, subjective expectations, and quality of life surveys. Results: Studies have shown that satisfaction with residential areas and quality of life and cognitive ability scores have important effects in classifying elderly depression, satisfaction with living quality and economic conditions, and number of outpatient care in living areas and clinics have been important variables. In addition, the results of a random forest performance evaluation, the accuracy of classification model that classify whether elderly depression or not was 86.3%, the sensitivity 79.5%, and the specificity 93.3%. And the accuracy of classification model the degree of elderly depression was 86.1%, sensitivity 93.9% and specificity 74.7%. Conclusions: In this study, the important variables of the estimated predictive model were identified using the random forest technique and the study was conducted with a focus on the predictive performance itself. Although there are limitations in research, such as the lack of clear criteria for the classification of depression levels and the failure to reflect variables other than KLoSA data, it is expected that if additional variables are secured in the future and high-performance predictive models are estimated and utilized through various machine learning techniques, it will be able to consider ways to improve the quality of life of senior citizens through early detection of depression and thus help them make public policy decisions.

• International Journal of Highway Engineering
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• v.17 no.2
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• pp.79-87
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• 2015

PURPOSES: According to accident statistics for road built in 2004, the ratio of accidents on frozen roads to normal roads is 0.9%, whereas the fatality ratio is 2.7%. The risk of accidents on frozen roads is very high. Measures taken every year to prevent traffic accidents of frozen roads in the winter season are still insufficient. Additionally, measures have been established mainly on rural roads. Therefore, for urban roads, analyses and measures to prevent accidents are lacking. In this study, data on accidents on frozen roads was used to search for the causes behind these accidents and measures to reduce accidents have been recommended. METHODS: In this study, collected data from the TAMS (Traffic Accident Management System), which were collected by the Seoul National Police Agency was used. The data were divided into vehicle, people, and condition of road. The analytical model used here was the Logistic Regression Model, which is frequently used for traffic safety and accident analysis. This study uses the odds ratio analysis to search for variables related to frozen road traffic accidents in each category. A total of 18 out of 47 variables were found to be the causes of accidents. RESULTS: From the results of the comparative analysis of 18 variables, the category of the condition of the road was found to be the most critical. Contrary to expectations, more accidents occurred in clear weather than in other conditions. Accidents on bridges occurred frequently, and its odds ratio was the highest compared with other road types. When BPT is operated, the probability of accidents on frozen roads is lower than in general conditions, and accidents occurred frequently on roads with less than four lanes. CONCLUSIONS : Based on the results of this study, suggestions for reducing the risk of future domestic road accidents in freezing conditions are indicated as follows. First, it is necessary to perform a technical review of the urban road traffic accidents caused by frozen roads. Second, it is necessary to establish criteria for the study of the road environment based on the major causes of road accidents on frozen roads. Third, improvements in urban road environmental factors should be made.

• Management & Information Systems Review
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• v.36 no.4
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• pp.167-185
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• 2017

With the expansion of corporate influence on civil society, companies are facing various demands and expectations on higher social responsibilities. This study discusses the influence of corporate social responsibility(CSR) on job attitude of employees when they recognize their company's CSR efforts. In this regard, it focuses on mediator effect of organizational identity by examining job satisfaction, organizational commitment, and turnover intention. Based on empirical investigation, positive influence was confirmed, stemming from recognized CSR. It influenced organizational identity, and it changed job attitudes including job satisfaction, organizational commitment, and decline of turnover intention. This result shows that if employees recognize company's sincere CSR activities and organizational values and culture are desirable, they tend to more strongly identify themselves with their organization. In sum, this paper found that organizational identity can be applied as a mediator which enhances the influence of CSR on job attitude. Lastly, it analyzed applicable implications to business management and suggestions for future research.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.1
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• pp.71-82
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• 2020

The existing transportation system, which is based on internal combustion engines, is rapidly being converted to electrification. Thus, eco-friendly public transportation with high transportation efficiency will continue to spread throughout the market in the near future. The purpose of this study is to compare and analyze the cognitive characteristics of passengers redgarding the technical and social factors of various public transportation means to help a successful introduction of eco-friendly public transit. Through a survey questionnaire (N=485), seven factors of seven transportation modes were evaluated and analyzed using principal component analysis. As a result, it is confirmed that potential passengers have high expectations for the eco-friendliness and city image of the eco-friendly buses. Also, it is confirmed that eco-friendly buses are superior in cleanliness and ride comfort than diesel buses. Given the study's results, this study identifies the cognitive characteristics of passengers regarding eco-friendly public transportation. We hope that these results will be used as basic information for image positioning and improved service with the use of eco-friendly transportation.

• The Korean Journal of Elementary Counseling
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• v.11 no.3
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• pp.465-484
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• 2012

The purpose of this study is to examine the relationship among savoring, happiness and optimism of elementary school students. This study is also expected to provide basic informations for the promotion of the happiness and optimism of elementary school students. The subjects were 495 fifth and sixth graders from 10 primary schools located in Seoul and Gyeonggi Province. The measurement were the savoring test, the happiness test and the optimism test. The collected data was analyzed using the i-STATistics program(Kim & Baker, 2012). The study results were as followings: First, female students had higher scores than male students in the savoring test, the happiness test and the optimism test. And there were significant gender differences in savoring, happiness and optimism. Second, there was a significantly positive correlation between savoring and happiness(home environment, self-attributes, abilities, and interpersonal relationships) at the level of p<0.001. And the regression analysis result showed that savoring contains explanatory power of 60.70% for happiness. Third, there was a significantly positive correlation between savoring and optimism(expectations for the future) at the level of p<0.001. And the regression analysis result showed that savoring contains explanatory power of 66.51% for optimism. The result of this study shows that savoring has a high correlation to happiness and optimism. Happiness and optimism of children can be enhanced by increasing savoring. Therefore, the development and verification of savoring program for children is required.

• Journal of Music and Human Behavior
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• v.16 no.2
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• pp.27-51
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• 2019

This case study aimed to investigate changes in self-expression following participation in a rap making program with adolescent survivors of childhood cancer. The rap making program was constructed based on the contextual support music therapy model. Three adolescent survivors of childhood cancer participated in six 80-minute individual sessions. During the sessions, each participant engaged in the following tasks: song discussion, lyric creation, and rapping over a selected beat. At pre and posttest, the Self-Expression Scale was completed by participants. Their verbal expressions lyrics were observed during the sessions, and individual interviews with the participants were conducted at the completion of the program. The results demonstrated that the mean rating of the Self-Expression Scale increased after the rap making intervention. Analysis of the participants' verbal expressions and lyrics demonstrated that participants were experiencing difficulties adjusting to school that they wanted to resolve. Furthermore, the analysis of the interviews at posttest found that participants experienced positive changes in self-perception, self-expression, and expectations for their future, compared to the pretest when the participants expressed negative self-perceptions due to difficulties in interpersonal relationships at school and physical limitations. This indicates that rap making can be an effective resource for providing this population with the means to recognize positive attributes about themselves and improve self-expression.

• Journal of Distribution Science
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• v.13 no.3
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• pp.93-100
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• 2015

Purpose - Since the early 1990s, it has been observed that the number and substance of studies on female leadership have been increasing. One of the reasons for this development may be concerned with the increasing number of female labor market participants as well as the greater opportunities for them to take higher positions in various organizations. In addition to this, the transition from mechanistic organizational structures that emphasize authority, control, and efficiency toward organic ones that focus on environmental adaptability, equality, and trust has also encouraged research on female leadership. The research tendency is based on the assumption that male and female leaders tend to exhibit different leadership styles according to their gender differences. Recent research has cast doubt on this assumption, by showing that the sociological gender roles of men and women are independent such that some female leaders show authoritative and control-oriented leadership, which were once considered to be male leadership styles. Research design, data, and methodology - This research attempts to carry out an empirical study on the gender-related leadership styles of female leaders and to examine their effect on group performance in the K business organization. This study also focuses on leader attributes such as trust, and it aims to discover whether these attributes should be regarded as independent or as moderating variables between leadership styles and performance. For these purposes, this study generated four hypotheses based on a review of the literature and it tested them using a survey. Female workers in the sales departments of the K Company, all of whom are women, were asked to provide answers to the presented questionnaires. This study hypothesizes that the type of gender roles played by women leaders will affect the job satisfaction and organizational commitment among the members of the sales group, and that the level of trust that is garnered by women leaders will also affect the types of gender roles that they play as well as employee job satisfaction and organizational commitment. Results - The results of this study show that both androgynous and masculine leadership styles are superior to the feminine leadership style in terms of employee job satisfaction and organizational commitment. However, contrary to our expectations, this study fails to show the superiority of the androgynous leadership style over the masculine leadership style. Moreover, there are no significant differences between these two leadership styles with regard to group performance. Conclusions - This study shows that it is important that different attributes of leaders, such as how trusted they are, be treated as moderating variables between leadership and performance rather than as independent variables. Finally, as this is the first attempt to view the role of the gender in a new perspective, the managerial implications of this study for leadership research, as well as its limitations, are presented. Suggestions for future related research are also proposed.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.331-340
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• 2013

Recently there is a heated debate going on regarding the patient-doctor communication in the medical schools and medical service sector. Patient-doctor communication is an interactive communication made during the consultation session which is known to bring positive effect to both the patient and the doctor. Through this research, a doctor coaching model was developed by combining a method that would help the patient and doctor communicate better by increasing the doctor's communication skill and a coaching mechanism. Through the research, the doctor coaching model consists of 5 levels. First is the 'relationship creation' which would cause the doctor's interest and expectations toward coaching mechanism. Second is 'recognition of change' and this would cause to understand the problem and pros of the doctor's communication with the patient and set a direction regarding the coaching. Third is 'understanding the perspective' and this would lead the doctor to think from the patient's perspective. Fourth is 'increasing problem solving and communication skills' and this would set specific terms as to how the doctor can improve his communication skills. Fifth is 'goal setting and support' where goal regarding the improvements can be set and agreement regarding the ways to maintain and strengthen the advantage can be made. The developed doctor coaching model is most meaningful in a way that it has first adapted a coaching mechanism to improve patient-doctor communication. Also in cases where such will be utilized in the future medical service sector, it is expected to affect greatly the doctor's communication skill and patient sympathizing skills. Hereby it will contribute in increasing the patient's treatment satisfaction.