This study aims to examine the International Development Cooperations (IDCs) of Daesoon Jinrihoe and discuss the future prospects of these programs in terms of Daesoon Thought. The international community calls for the active participation of various donors, and this is not limited to only traditional donors such as governments, public institutions, and multilateral organizations. In this regard, the role of Faith-Based Organizations (FBOs) and Non-Governmental Organizations (NGOs) for religious communities is recognized as important. Daesoon Jinrihoe has systematized its IDCs by expanding its overseas services to implement the three major works with the official establishment of the Daejin International Volunteers Association (DIVA) in 2013. In addition to these activities, Daesoon Jinrihoe was selected by Korea International Cooperation Agency (KOICA) in 2022. As a new religion, Daesoon Jinrihoe does not provide as much support via FBOs when compared to other traditional religions (Christianity, Buddhism, Catholicism, etc.), but it is able to conduct strategic IDCs by utilizing its expertise and capabilities (education, healthcare, etc.). In fact, the nature and content of the projects carried out by these FBOs and Daesoon Jinrihoe are similar, and the results have been remarkable considering that these programs are still in their infancy. Above all, Daesoon Jinrihoe's foreign aid is more meaningful because it does not have a religious purpose such as missionary work, and it is funded by donations from believers. In carrying out IDCs, it is necessary to promote the professionalism of IDCs based on the strategic linkage of the three major works (charity aid, social welfare, and education). It is also necessary to recognize the value and spirit of IDCs for peace and coexistence based on mutual beneficence.
As new disasters such as COVID-19, MERS, and earthquakes appear in modern society, the nation's ability to manage uncertain risks is becoming more important. The government is promoting a disaster safety management policy closely related to daily life by reinforcing on-site response capabilities. Therefore, in order to respond more effectively to disasters that have recently been enlarged, complicated, and delocalized, there is a limit to only disaster-related organizations in the public sector. It is necessary to check it and find ways to develop it. In the event of an unpredictable national disaster or infection, the government needs disaster safety management measures closely related to daily life. Accordingly, as an efficient response and strategy such as procedures and methods for funeral support at the scene of a national disaster were needed, a designated funeral home was introduced. In the event of a major disaster, a large number of casualties that exceed the daily work level of the relevant department occur and rapid changes in relief, medical care, funeral and administrative procedures occur accordingly. The purpose of this study is to derive basic operating directions and prompt funeral support plans for funeral homes designated for national disaster preparedness.
As data becomes a new core resource with high attention, MyData service is spreading to various fields such as finance, medical care, and the public sector. However, research on the behavior of MyData service users is insufficient. Therefore, this study aims to empirically examine the effect of MyData service traits on value perception and acceptable behavior particularly in the financial sector where MyData service is most active. To this end, this study proposed a research model based on the literature. 295 survey responses were collected from individuals and analyzed using AMOS 26.0 for hypothesis testing. As a result of the analysis, it was found that self-information control, financial convenience, and personalized service had a significant effect on perceived value, and that perceived value had a significant effect on the intention to accept MyData service. Furthermore, this study examined the role of personal innovation and technological security in the relationship between variables by suggesting them as moderators. Results show that individual innovation was found to strengthen the relationship between two variables(self-information control and personalized service) and perceived value. Also, technological security was shown to strengthen the relationship between perceived value and intention to accept financial MyData services. The findings are expected to provide useful information to understand the factors affecting the acceptance of financial MyData service users and to understand the importance of individual innovation levels and technological security.
Objectives : The purpose of this study was to analyze the factors that influencing mental health literacy. Methods : We obtained data on 2016 general population from the Korean Mental Health Literacy Survey (2021) conducted by Ministry of Health and Welfare. Multiple regression analysis was used to evaluate the associations between sociodemographic characteristics and the score of questionnaire items in Korean Mental Health Literacy Survey. Results : Among the factors, female (p<0.001), higher age (p=0.005), higher income level (p<0.001) were significantly correlated with higher score of questionnaire items. Awareness of mental health center & community addiction management center (p=0.002), awareness of mental health hotline service (p<0.001) were also significantly associated with higher response score. Conclusions : The factors affecting mental health literacy could be considered when providing community mental health services.
For the last several months, abortion debates have sparkled in Korea. The government has escalated the need of active punishment of illegal abortions to solve low fertility problems, while some obstetricians and gynecologist have proclaimed stoppage of illegal abortions suing colleague doctors who has conducted illegal abortions. Women's rights groups and researchers have also responded to the abortion debate claiming that women's decisions over their pregnancy are important in making of abortion policies. To contribute to Korean abortion debates, his paper aims to analyze European experiences of abortion polices in relation to the consequences on women's health. For the analysis of European abortion experiences, three countries - Ireland, U.K, and Netherland -are chosen. These three countries are selected since their legal and social acceptance of abortion and the level of safe abortion system are different. Each country is reviewed by national abortion policy, legal regulation, medical system and the role of civil society. The analysis shows several implications for abortion debates occurring in Korea. Various systematic policy mechanisms - abortion on women' request, abortions without complicated doctor's referrals, transparent and anonymous counseling and information provision regarding abortion, training and education for medical professionals to guarantee high quality abortion, abortions funded publicly for women to improve their access to abortions, steady monitoring and auditing abortion procedures and outcomes for safe abortion and so on - are required in Korean society. Two track procedures - safe abortion on women's request and prevention of unwanted pregnancy - are needed for reproduction of healthy women and society.
Material hardship measures have been used to supplement the traditional income-based poverty measures. Recently poverty researchers have increasingly used measure of material hardship to examine the well-being of low income families. Measuring the material hardship might be useful to a better understanding of the multi-dimensions of the poverty in Korea. Using the data of the Korea Welfare Panel Study(the fourth wave), I examine incidences of material hardship across quintiles of the income distributions and the factors that might affect the experience of material hardship among the poor families. Major findings are as follows. Descriptive results show that nearly one-fifth of all families had experienced at least one of the five material hardships in the year. Those in the bottom quintiles and the poor families are more likely to experience material hardship than the other quintiles and non-poor families. But, incidences of the material hardship in the middle income quintiles and low income families are not a few(18 percent and 37 percent). Logistic regression results show that family-consumption related variables, income other economic resources(asset and public assistance), and household's employment status affect the experience of material hardship among the poor families. But, material hardship among the poor families is not significantly related with family income. These results indicate that material hardship measures are the useful indicators to understanding the multi-dimensions of the poverty in Korea. And they suggest that an extensive reform of the public assistance policy is necessary to relieve the material hardships of the poor in Korea.
Journal of Korea Society of Industrial Information Systems
/
v.29
no.1
/
pp.135-144
/
2024
In this study, we propose an automatic classification model for quantitative multidimensional analysis based on facet theory to understand public opinions and demands on major issues through big data analysis. Civil complaints, as a form of public feedback, are generated by various individuals on multiple topics repeatedly and continuously in real-time, which can be challenging for officials to read and analyze efficiently. Specifically, our research introduces a new classification framework that utilizes facet theory and political analysis models to analyze the characteristics of citizen complaints and apply them to the policy-making process. Furthermore, to reduce administrative tasks related to complaint analysis and processing and to facilitate citizen policy participation, we employ deep learning to automatically extract and classify attributes based on the facet analysis framework. The results of this study are expected to provide important insights into understanding and analyzing the characteristics of big data related to citizen complaints, which can pave the way for future research in various fields beyond the public sector, such as education, industry, and healthcare, for quantifying unstructured data and utilizing multidimensional analysis. In practical terms, improving the processing system for large-scale electronic complaints and automation through deep learning can enhance the efficiency and responsiveness of complaint handling, and this approach can also be applied to text data processing in other fields.
Journal of the Korea Academia-Industrial cooperation Society
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v.17
no.4
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pp.188-198
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2016
This study examined the effects of a smoking cessation coaching program based on the motivation stage applying the Transtheoretical Model to stop the smoking of patients in terms of the amount of smoking, nicotine dependence, CO level, and urine cotinine. The study design was a multi-repeat multiple repeat intermittent time series study with one-group, a pre-post design. The participants were 47 smoking patients (44 males and 3 females), who were treated at a public hospital in N city. The participants were 4 (8.51%) subjects in the action stage and 43 subjects (91.49%) in the preparation stage of the motivation stage. The coaching program intervention was conducted at the first day, second week, and 6th week. The smoking cessation maintenance of the subjects was checked at the 12th week. A chi-square test and t-test were used to analyze the data. The subjects in the action stage were kept under the condition of no smoking and nicotine dependence. After the program of subjects in the preparation stage, the amount of smoking, nicotine dependence, and CO level were significantly lower compared to the pre-test (p<.001). The findings suggest that the coaching program based on the motivation stage was effective in improving the smoking cessation for patients who smoke. On the other hand, the patients in the smoking cessation program may require much more financial assistance than those of healthy people. A greater workforce and budget will be needed for patients to stop smoking.
Given that with the development of the 4th industry, interest and desire for smart cities are gradually increasing and related technologies are developed as a way to strengthen urban competitiveness by utilizing big data, information and communication technology, IoT, M2M, and AI, the purpose of this study is to find out how to achieve this goal on the premise of the idea of smart well fair city. In other words, the purpose is to devise a smart well-fair city in the care area, such as health care, medical care, and welfare, and see if it is feasible. With this recognition, the paper aimed to review the concept and scope of smart city, the discussions that have been made so far and the issues or limitations on its connection to social security and social welfare, and based on it, come up with the concept of welfare city. As a method of realizing the smart welfare city, the paper reviewed characteristics and features of a social security platform as well as the applicability of smart city, especially care services. Furthermore, the paper developed discussions on the standardization of the city in terms of political and institutional improvements, utilization of personal information and public data as well as ways of institutional improvement centering on social security information system. This paper highlights the importance of implementing the digitally based community care and smart welfare city that our society is seeking to achieve. With regard to the social security platform based on behavioral design and the 7 principles(6W1H method), the present paper has the limitation of dealing only with smart cities in the fields of healthcare, medicine, and welfare. Therefore, further studies are needed to investigate the effects of smart cities in other fields and to consider the application and utilization of technologies in various aspects and the corresponding impact on our society. It is expected that this paper will suggest the future course and vision not only for smart cities but also for the social security and welfare system and thereby make some contribution to improving the quality of people's lives through the requisite adjustments made in each relevant field.
Purpose: The purpose of this study was to survey the knowledge and needs of hospice for inpatients' family. Methods: This study was carried out with 277 inpatients' families at J General Hospital located in J city, Korea during the period from March to May, 2004. The data were collected through a self-reporting questionnaire constructed by the authors. The data were analyzed by descriptive statistics and $x^2-test$ with SPSSWIN 10.0. Results: 83.8% of the respondents heard about hospice mostly through mass communication. 76.9% of the respondents recognized hospice to be helpful and to provide comfort during the remainder of life and to confront the moment of death. Most of the respondents responded positively to the necessity of hospice service, and would receive hospice if necessary. 76.5% of them would consider arranging preparation for death if he/she were to be diagnosed with a terminal illness. 63.9% of the respondents wanted only to be with their family members, 31.4% wanted both the family and hospice members at the moment of death. They named the best helper among the hospice members to be the nurse. 81.6% of the respondents wanted a hospice institution to be established, 23.8% of them report that the most adequate hospice management institution would be the hospice ward in hospital. Conclusion: Consequently, most respondents wanted hospice services. So Korean society is in need of developing adequate teaching and care programs for hospice according to local needs.
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