• Health Policy and Management
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• v.24 no.1
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• pp.4-12
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• 2014

Background: The purpose of this study is to investigate current status and investigation of government agencies, communities, corporates, hospitals, non-governmental organization, non-profit organization, and so on which performed Corporate Social Responsibility to global health issues. Methods: This paper focuses on analyzing definition and principle of public-private partnership (PPP), types of PPP, challenge of PPP through delphi survey and interview which need to be discussed by professional groups such as private groups, universities and researches, government decision makers, corporates, and hospitals for successful PPP. Results: Based on this analysis on global health issues of 237 groups, the results were shown that main global health issues of many hospitals were aids of the developing countries (48%). Main program was activities of overseas volunteers (30%) and most 152 groups (42%) supported Asia. Also, this paper gives a definition of PPP that is the growth together in PPPs as a way of fulfilling public tasks in partnership between the state administration and private enterprises to apply both strengths behind transparency, accountability. Conclusion: In conclusion, from the results of analysis, we suggest as prior setting of global issues for both demand and supply side and are served as the effective way by PPP on global health issues. Moreover, this study will be expanded on the sections of findings, multiple researches, discussion, and policy recommendations.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2017.05a
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• pp.93-94
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• 2017

This study have derived the big issue of overseas construction through big data analysis. For identification of big issues on overseas construction, domestic online articles, 30 daily newspapers like the JoongAng Ilbo, 7 construction related articles including construction economy and 1,759 local newspapers and small media companies were analyzed from October 1st, 2015 to September 30th, 2016. 13,884 cases in total were used for big data analyses and big issue candidates were identified. The analysis result is as shown below. First, looking into major issues on overseas construction for a year, construction orders in the Middle East decreased because of the drop in oil prices. Accordingly, there were discussions on concerns and crises we may face as profitabilities worsened in overseas construction. Second, analyzing main concern based on 8 key words on overseas construction among construction issues for the last one year, it was found as following: Region (29.4%), Business environment (21.4%), Group (15.8%), Profitability (14.5%), Policy and Institution (7.8%), Market environment (4.2%), Business (project) (4.15%), and Education (3.2%). Third, among 30 issues on 8 key words, 10 key issues that are likely to spread and continue were identified. Then, a semantic network map among key words and centrality were analyzed.

• International Journal of Contents
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• v.15 no.4
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• pp.1-7
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• 2019

As the recent developments of artificial intelligence, particularly machine-learning, impact every aspect of society, they are also increasingly influencing creative fields manifested as new artistic tools and inspirational sources. However, as more artists integrate the technology into their creative works, the issues of diversity and fairness are also emerging in the AI-based creative practice. The data dependency of machine-learning algorithms can amplify the social injustice existing in the real world. In this paper, we present an interactive visualization system for raising the awareness of the diversity and fairness issues. Rather than resorting to education, campaign, or laws on those issues, we have developed a web & ML-based interactive data visualization system. By providing the interactive visual experience on the issues in interesting ways as the form of web content which anyone can access from anywhere, we strive to raise the public awareness of the issues and alleviate the important ethical problems. In this paper, we present the process of developing the ML-based interactive visualization system and discuss the results of this project. The proposed approach can be applied to other areas requiring attention to the issues.

• Journal of Korean Elementary Science Education
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• v.24 no.5
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• pp.571-582
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• 2005

This study aims to examine primary school teachers' interest and understanding of bioethical issues, and to analyze their perception of bioethics teaching in the primary school education. For this purpose, the questionnaires were constructed. The data were collected from 553 primary teachers in the whole country. Major findings of the studys are as follows. First, most primary school teachers showed high level of interest about bioethical issues, but they had the limited understanding about bioethical issues. Primary teachers showed the highest interest about' respect for human life' and the lowest understanding of 'awareness of current biotechnology' Second, the prior reasons why primary teachers wanted to teach specific bioethical issues in the classes were that 'they were closely related to social phenomena' and 'they were appropriate for enhancing students' awareness of the value of life'. Third, the lack of the teachers' knowledge about bioethics and limited supply of teaching materials were found to be barriers, which prevent them from teaching bioethical issues. The implications of these results are discussed for the improvement of bioethics teaching in primary school education.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.1
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• pp.1-12
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• 2015

This paper discusses current internet interconnection issues according to radical changes of internet traffic pattern. In this context, the recovery of network investment cost for network provider becomes hot issue. For recovery issues of investment cost, there are many disputes among stake holders. Therefore, it is necessary to investigate this issues in the context of internet interconnection. Also, it is important to develop the current regulation about internet interconnection under traffic changing environments. This paper selects four issues to deal with and analyzes the present situations and problems about these issues, and provides alternatives for internet interconnection corresponding to these four issues.

• Research in Mathematical Education
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• v.8 no.2
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• pp.95-106
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• 2004

The purpose of this paper is to diagnose the problems of the revision process of the curriculum, and identify the issues in relation to the 7th mathematics curriculum. From the review on the curriculum revision process in Korea, three issues were identified; timing and scale of curriculum revision, research and curriculum revision, and the relationship between the revision of the overall curriculum and that of a subject curriculum. Regarding the mathematics curriculum, the three issues were raised for further discussion; lack of philosophy behind the mathematics curriculum, optimization of mathematics educational content, and differentiated curricula for students of different abilities.

• Korean Institute of Interior Design Journal
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• no.30
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• pp.3-8
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• 2002

The purpose of this study is to discuss the issues and problems of interior design education in Korea and to further present guidelines for curriculum development and research on interior design education in Korea for the 21st Century. Content analysis and scholastic inquiry from various sources were used to examine the issues concerning 1) professional identity, 2) curriculum structure, and 3) creative scholarship including interdisciplinary approach. Identification of these issues presented in this study will allow interior design educators to help prepare interior design students who are qualified to lead the profession in the future.

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.229-235
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• 2018

The purpose of this study is to propose a method to utilize Big Data Analysis to find policy issues of local governments in the reality that utilization of big data becomes increasingly important in efficient and effective policy making process. For this purpose, this study analyzed the 180,000 articles of Suwon city for the past three years and identified policy issues and evaluated policy priorities through IPA analysis. The results of this study showed that the analysis of semi-formal big data through newspaper articles is effective in deriving the differentiated policy issues of different local autonomous bodies from the main issues in the nation, In this way, the methodology of finding policy issues through the analysis of big data suggested in this study means that local governments can effectively identify policy issues and effectively identify the people. In addition, the methodology proposed in this study is expected to be applicable to the policy issues through the analysis of various semi - formal and informal big data such as online civil complaint data of the local government, resident SNS.

• Korean Journal of Agricultural Science
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• v.46 no.4
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• pp.955-969
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• 2019

Analyzing on-line consumer responses is directly related to the management performance of food companies. Therefore, this study collected and analyzed data from an on-line portal site created by consumers about food companies with issues and examined the relationships between the data and the management performance. Through this process, we identified consumers' awareness of these companies obtained from big data analysis and analyzed the relationship between the results and the sales and stock prices of the companies through a time-series graph and correlation analysis. The results of this study were as follows. First, the result of the text mining analysis suggests that consumers respond more sensitively to negative issues than to positive issues. Second, the emotional analysis showed that companies' ethics issues (Enterprise 3 and 4) have a higher level of emotional continuity than that of food safety issues. It can be interpreted that the problem of ethical management has great influence on consumers' purchasing behavior. Finally, In the case of all negative food issues, the number of word frequency and emotional scores showed opposite trends. As a result of the correlation analysis, there was a correlation between word frequency and stock price in the case of all negative food issues and also between emotional scores and stock price. Recently, studies using big data analytics have been conducted in various fields. Therefore, based on this research, it is expected that studies using big data analytics will be done in the agricultural field.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.285-296
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• 2020

The purpose of this study is to provide basic data for developing future ethics education programs by surveying healthcare providers working at institutions of various sizes, using Ethical Issues in Clinical Practice tool. Data were collected from 149 healthcare providers working at medical institutions in G-do. Analysis was done using t-test, ANOVA, Pearson correlation coefficient, and Multiple regression with IBM SPSS WIN/21.0. Needs for ethics education was inversely correlated to end-of-life treatment issues (r=-.22, p=.007) and patient care issues (r=-.28, p<.001). The most influential factor on the subjects' needs for ethics education was patient care issues (β=-.246, p=.035), followed by Buddhism (β=.208, p=.010). The explanatory power was 13.4% (F=5.596, p<.001). Therefore, when organizing the contents of ethics education program, patient care issues should be included to meet the needs of the subjects. Also, a customized program regarding the subjects' religion is necessary.