• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.327-333
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• 2020

Corporate social responsibility is an inevitable trend in the global context. It is the responsibility of the organizations to the community and society to ensure the fairness of the interests of stakeholders. This is an issue that deserves attention, not in the national or regional level, but as a global issue. The purpose of article is to examine the effect of corporate governance on corporate social responsibility disclosure of 155 samples of 31 Vietnamese commercial banks from 2015 to 2019. The data of this study is employing time-series data and used the ordinary least squares to test the model. The results show that there are three factors that positively affect corporate social responsibility disclosure, namely, board size, foreign members of board, and audit committee. Thereby, the article proposes that board of director in Vietnamese commercial banks needs to raise awareness about corporate social responsibility, and the Central bank of Vietnam should monitor the disclosure of information regularly with severe sanctions on commercial banks that do not comply with the regulations of corporate social responsibility disclosure. This contributes to improving the information quality of the banking sector to meet the trend of international economic integration.

• Research in Mathematical Education
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• v.27 no.1
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• pp.25-47
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• 2024

Mathematical modeling activities are gaining popularity in K-12 mathematics education curricula worldwide. These activities serve dual purposes by aiding students in making sense of real-world situations intertwined with social justice while acquiring mathematical knowledge. Despite efforts to prepare teacher candidates for instructing in mathematical modeling within a single country, little attention has been given to teacher candidates' approaches to mathematical modeling on a social justice issue from different countries. This article employs an in-depth, small-scale comparative study to examine the approaches of U.S. and Korean teacher candidates in solving a justice-oriented mathematics task. Our findings reveal that, although both U.S. and Korean teacher candidates identified certain variables as key when constructing a mathematical model, Korean teacher candidates formulated a more nuanced model than U.S. candidates by considering diverse variables. However, U.S. teacher candidates exhibited a heightened engagement in linking the task to social justice issues, whereas Korean teacher candidates barely perceived real-world problems in relation to social justice concerns. This study serves as a valuable tool to inform the roles and limitations of teacher education programs, shaped within specific educational contexts.

• Korean Journal of Human Ecology
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• v.8 no.4
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• pp.57-69
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• 2005

An aging society in which the proportion of the aged of a society is growing faster than the of the young is becoming an worldwide phenomenon owing to low birth rate, the upgraded medical art and so on. Korea is one of the most rapidly aging societies in the world today. Since aging society is totally different from the traditional society in the many field, potential problems must be expected and countermeasure must be considered. One of the potential problems it may cause is the issue of supporting subject of the aged. Parent-supporting and welfare for the aged become important social issues. Especially the supporting of the aged woman is more important issue because of their longer average life than man and their exposure to sexual discrimination and their welfare is very important issue of social welfare system. Accordingly the purpose of this study is to present the practical counter measure to the supporting of the aged woman. These studies can be divided into traditional approach which insists on the family supporting and modern approach which asserts government(or social) supporting. Comprehensive literature study reveals that both of government and family are responsible for the supporting of the aged woman.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.1
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• pp.95-110
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• 2011

Since the mid-1990s, the corporate social responsibility(adhere CSR) has risen as an important issue in Korean company. We have classified 3 effects of CSR activities on corporate performance. That is, this study investigates the relationship between CSR and corporate performance, which are financial performance, marketing performance, human resource and organization performance. Previous literatures discuss how CSR activities influence on corporate performance. But they have not reached at a clear conclusion and the issue is still debate. The relationship between CSR and corporate performance is actually more complicated, so this study is to review literature of various perspective. In this study, CSR management tool proposed for effective and efficiency CSR management by literature review. A right measure is fundamental factor for effective and efficiency CSR management. This study provide fundamental tip for CSR measure using of principles of ISO 26000.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.193-203
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• 2019

The issue of health risks from consuming unhealthy product is an important issue that is happening right now. Both developed and developing countries are already aware of the need for attention to the health-risk products. One tool that is believed to be able to change the consumption behavior of the health-risk products is the use of warning label on product packaging. As a persuasive act, both visual and textual warning label are believed to be able to change people's consumption behavior. In addition to the labels that contain health hazards, this research also uses social consequence contents. The main targets of such unhealthy product marketing are children and adolescents. Correspondingly, this study targets the age groups of kids and tweens. The method used in this research is experiment, involving 180 participants from two age groups namely kids and tweens. As a result, the study found that the influence of warning label on the age of tweens is greater in the age of the children. Meanwhile, the use of visual and textual warning label using social consequences contents, proved to be effective at the age of tweens. These results are useful for enrich social marketing subjects, especially within warning label research.

• Journal of Families and Better Life
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• v.15 no.1
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• pp.41-52
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• 1997

This paper explored the public issue on housework analyzed the policy and the law associated housework and developed the theorical model for its political program. This idea is dependent that the policy has priority over change of the social ideology. That policy contains a campaign and a education to be aimed to share of housework in order to make responsibility of men as well as women on family and work. Also it contains economic value estimates to quantify and value the non-wage work(childcaring homemaking etc.) in order to confirm its productive activity. It would assume the lawful form as like a social security or a pension. For example the Family Rights Law Tax Law and Social Security Act have to be reflected on the value of housework and to be secured the social status of provider. After all this work was useful to improve a wage and a social status of all women. As consistent policy and operation associated housework are poor in Korea it is difficult to develop theoric l model on this theme. On the range a political proposal on housework would be bound by family policy(evaluation of housework) and women's labor policy(housework support). So the policy intend to secure a family life to improve welfare of women and to equilibrate the family and the work.

• Journal of Information Technology Services
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• v.14 no.3
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• pp.33-48
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• 2015

Recently, many users frequently share their opinions on diverse issues using various social media. Therefore, many governments have attempted to establish or improve national policies according to the public opinions captured from the various social media. In this paper, we indicate several limitations of traditional approaches for analyzing public opinions about science and technology and provide an alternative methodology to overcome the limitations. First of all, we distinguish science and technology analysis phase and social issue analysis phase to reflect the fact that public opinion can be formed only when a certain science and technology is applied to a specific social issue. Next, we apply a start list and a stop list successively to acquire clarified and interesting results. Finally, to identify most appropriate documents fitting to a given subject, we develop a new concept of logical filter that consists of not only mere keywords but also a logical relationship among keywords. This study then analyzes the possibilities for the practical use of the proposed methodology thorough its application to discovering core issues and public opinions from 1,700,886 documents comprising SNS, blog, news, and discussion.

• Journal of Information Technology Services
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• v.13 no.4
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• pp.275-287
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• 2014

Recently, the volume of unstructured text data generated by various social media has been increasing rapidly; consequently, the use of text mining to support decision-making has also been growing. In particular, academia and industry are paying significant attention to topic analysis in order to discover the main issues from a large volume of text documents. Topic analysis can be regarded as static analysis because it analyzes a snapshot of the distribution of various issues. In contrast, some recent studies have attempted to perform dynamic issue tracking, which analyzes and traces issue trends during a predefined period. However, most traditional issue tracking methods have a common limitation : when a new period is included, topic analysis must be repeated for all the documents of the entire period, rather than being conducted only on the new documents of the added period. Additionally, traditional issue tracking methods do not concentrate on the transition of individuals' interests from certain issues to others, although the methods can illustrate macro-level issue trends. In this paper, we propose an individual interests tracking methodology to overcome the two limitations of traditional issue tracking methods. Our main goal is not to track macro-level issue trends but to analyze trends of individual interests flow. Further, our methodology has extensible characteristics because it analyzes only newly added documents when the period of analysis is extended. In this paper, we also analyze the results of applying our methodology to news articles and their access logs.

• Journal of the Korean Society of Safety
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• v.31 no.6
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• pp.121-128
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• 2016

Social Media transformed the mass media based information traffic, and it has become a key resource for finding value in enterprises and public institutions. Particularly, in regards to disaster management, the necessity for public participation policy development through the use of social media is emphasized. National Disaster Management Research Institute developed the Social Big Board, which is a system that monitors social Big Data in real time for purposes of implementing social media disaster management. Social Big Board collects a daily average of 36 million tweets in Korean in real time and automatically filters disaster safety related tweets. The filtered tweets are then automatically categorized into 71 disaster safety types. This real time tweet monitoring system provides various information and insights based on the tweets, such as disaster issues, tweet frequency by region, original tweets, etc. The purpose of using this system is to take advantage of the potential benefits of social media in relations to disaster management. It is a first step towards disaster management that communicates with the people that allows us to hear the voice of the people concerning disaster issues and also understand their emotions at the same time. In this paper, Korean language text mining based Social Big Board will be briefly introduced, and disaster issue detection model, which is key algorithms, will be described. Disaster issues are divided into two categories: potential issues, which refers to abnormal signs prior to disaster events, and occurrence issues, which is a notification of disaster events. The detection models of these two categories are defined and the performance of the models are compared and evaluated.

• Journal of Information Processing Systems
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• v.13 no.3
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• pp.559-572
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• 2017

Cyberbullying has been an emerging issue in recent years where research has revealed that users generally spend an increasing amount of time in social networks and forums to keep connected with each other. However, issue arises when cyberbullies are able to reach their victims through these social media platforms. There are different types of cyberbullying and like traditional bullying; it causes victims to feel overly selfconscious, increases their tendency to self-harm and generally affects their mental state negatively. Such situations occur due to security issues such as user anonymity and the lack of content restrictions in some social networks or web forums. In this paper, we highlight the existing solutions, which are Intrusion Prevention System and Intrusion Detection System from a number of researchers. However, even with such solutions, cyberbullying acts still occurs at an alarming rate. As such, we proposed an alternative solution that aims to prevent cyberbullying activities at a younger age, e.g., young children. The application would provide an alternative method to preventing cyberbullying activities among the younger generations in the future.