• Asian Journal for Public Opinion Research
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• v.1 no.2
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• pp.73-89
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• 2014

Everyone has a voice and can broadcast it to the world. We hear about the old maxim of media do not tell people what to think but what to think about. Under this theory or approach, a key function of political communication is to make the public think about an issue in a way that is favorable to the sender of the message. In a democracy, political communication is seen as crucial for the building of a society where the state and its people feel they are connected. Thus, this is a study on how social media (e.g., Facebook, blogs, and YouTube) were used in the domain of Malaysian politics during the 13th general election campaigning period in order to set the agenda to form public opinion. The study found that Facebook was the most popular social media tool that political parties actively engaged with during the 13th general election campaign period. Apart from that, issues pertaining to the election were significantly highlighted by the political parties in social media, especially Facebook. However, other issues that were also important to the people such as the economy, crime, and education were not sufficiently highlighted during the election campaign period. This indicates that the political parties influence the public on what to think about using social media.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.199-219
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• 2018

With the everyday use of the Internet and the spread of various smart devices, users have been able to communicate in real time and the existing communication style has changed. Due to the change of the information subject by the Internet, data became more massive and caused the very large information called big data. These Big Data are seen as a new opportunity to understand social issues. In particular, text mining explores patterns using unstructured text data to find meaningful information. Since text data exists in various places such as newspaper, book, and web, the amount of data is very diverse and large, so it is suitable for understanding social reality. In recent years, there has been an increasing number of attempts to analyze texts from web such as SNS and blogs where the public can communicate freely. It is recognized as a useful method to grasp public opinion immediately so it can be used for political, social and cultural issue research. Text mining has received much attention in order to investigate the public's reputation for candidates, and to predict the voting rate instead of the polling. This is because many people question the credibility of the survey. Also, People tend to refuse or reveal their real intention when they are asked to respond to the poll. This study collected comments from the largest Internet portal site in Korea and conducted research on the 19th Korean presidential election in 2017. We collected 226,447 comments from April 29, 2017 to May 7, 2017, which includes the prohibition period of public opinion polls just prior to the presidential election day. We analyzed frequencies, associative emotional words, topic emotions, and candidate voting rates. By frequency analysis, we identified the words that are the most important issues per day. Particularly, according to the result of the presidential debate, it was seen that the candidate who became an issue was located at the top of the frequency analysis. By the analysis of associative emotional words, we were able to identify issues most relevant to each candidate. The topic emotion analysis was used to identify each candidate's topic and to express the emotions of the public on the topics. Finally, we estimated the voting rate by combining the volume of comments and sentiment score. By doing above, we explored the issues for each candidate and predicted the voting rate. The analysis showed that news comments is an effective tool for tracking the issue of presidential candidates and for predicting the voting rate. Particularly, this study showed issues per day and quantitative index for sentiment. Also it predicted voting rate for each candidate and precisely matched the ranking of the top five candidates. Each candidate will be able to objectively grasp public opinion and reflect it to the election strategy. Candidates can use positive issues more actively on election strategies, and try to correct negative issues. Particularly, candidates should be aware that they can get severe damage to their reputation if they face a moral problem. Voters can objectively look at issues and public opinion about each candidate and make more informed decisions when voting. If they refer to the results of this study before voting, they will be able to see the opinions of the public from the Big Data, and vote for a candidate with a more objective perspective. If the candidates have a campaign with reference to Big Data Analysis, the public will be more active on the web, recognizing that their wants are being reflected. The way of expressing their political views can be done in various web places. This can contribute to the act of political participation by the people.

• Journal of The Korean Association For Science Education
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• v.24 no.1
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• pp.109-120
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• 2004

The purpose of this study was to examine a) each of the selected science museums for its role in educating on ethical issues in science and technology, b) what are the most frequently dealt ethical themes in science and technology; c) how were those themes presented (via exhibition, play, panel, movies, etc); and d) identify common characteristics in the selected science museums' presentations of ethical issues. The results indicated that selected museums present ethical issues related to technology development, mainly on biotechnology and environmental issues. The type of presentations dealing with ethical issues most frequently were exhibitions, panels and simulations, followed by demonstrations and lectures. All of the selected museums had common characteristics for actively taking an educational role in ethical issues in science. The study suggests that efforts to communicate the ethical issues in various areas should be reinforced to educate students and the public, and that it may be the museum's role to expose ethical aspects of technology related to human rights, dignity, health and development issues from the early stage of its development.

• Journal of Service Research and Studies
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• v.13 no.3
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• pp.172-189
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• 2023

This study investigated the potential contribution of ChatGPT, a massive language and information model, in the decision-making process of public design policies, focusing on the characteristics inherent to public design. Public design utilizes the principles and approaches of design to address societal issues and aims to improve public services. In order to formulate public design policies and plans, it is essential to base them on extensive data, including the general status of the area, population demographics, infrastructure, resources, safety, existing policies, legal regulations, landscape, spatial conditions, current state of public design, and regional issues. Therefore, public design is a field of design research that encompasses a vast amount of data and language. Considering the rapid advancements in artificial intelligence technology and the significance of public design, this study aims to explore how massive language and information models like ChatGPT can contribute to public design policies. Alongside, we reviewed the concepts and principles of public design, its role in policy development and implementation, and examined the overview and features of ChatGPT, including its application cases and preceding research to determine its utility in the decision-making process of public design policies. The study found that ChatGPT could offer substantial language information during the formulation of public design policies and assist in decision-making. In particular, ChatGPT proved useful in providing various perspectives and swiftly supplying information necessary for policy decisions. Additionally, the trend of utilizing artificial intelligence in government policy development was confirmed through various studies. However, the usage of ChatGPT also unveiled ethical, legal, and personal privacy issues. Notably, ethical dilemmas were raised, along with issues related to bias and fairness. To practically apply ChatGPT in the decision-making process of public design policies, first, it is necessary to enhance the capacities of policy developers and public design experts to a certain extent. Second, it is advisable to create a provisional regulation named 'Ordinance on the Use of AI in Policy' to continuously refine the utilization until legal adjustments are made. Currently, implementing these two strategies is deemed necessary. Consequently, employing massive language and information models like ChatGPT in the public design field, which harbors a vast amount of language, holds substantial value.

• Journal of Technology Innovation
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• v.10 no.2
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• pp.19-44
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• 2002

All over the world, the attention on the exploitation of public research, which is mainly implemented by technology transfer, has increased in recent years. Licensing, which is one of representative mechanisms for public-to-private technology transfer, is accompanied by the frequent conflicts in negotiating a license payment between public research institutes (PRIs) and private firms. In spite of the body of literature on technology transfer in a licensing context, it focuses on contracts between private firms. Even the existing literature, which addresses public-to-private technology transfer through licensing, to our knowledge, has not yet formalized an established licensing model. This paper develops a mathematical model of public-to-private licensing, not hitherto tried by academics. The model addresses important issues to be applied comprehensively in licensing practice, such as determining a royalty rate, balancing between an initial payment and a running royalty, designing an inventor's incentive system, and setting a minimum payment as a screening criterion. The paper also provides reasonable management implications to controversial issues in technology transfer from PRIs to private firms, partly employing the comparative analysis between current stylized licensing practice and the one suggested in the model. We hope that study contributes to providing the foundation on which the theory on public-to-private licensing would extend to an in-depth level.

• Journal of Korean Society of Archives and Records Management
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• v.20 no.1
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• pp.47-67
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• 2020

Unless the records appraisal system is properly overhauled, there is no future for public records management. This study aims to highlight challenging issues and present improvement tasks necessary for the readjustment of the public records appraisal system at the national level. First, public records appraisal policies are divided into five categories: i) statements on appraisal policy and selection criteria, ii) appraisal tools such as disposition authorities, iii) subject of appraising, iv) appraisal procedures, and v) responsibility and authority in appraisal and disposition process. Second, the domestic situation is identified for each category. Third, policies of the United States, United Kingdom, Australia, and Canada are compared, and implications are derived for each category. Fourth and last, the tasks for the readjustment of the public appraisal system are proposed based on these analyses.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.257-266
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• 2021

This article examines the features of improving the public management of the market of medical and social services using information technology to improve the efficiency of public activity in modern conditions. The interpretation of the essence of the categories "information technologies" and "information support" is analyzed. The importance of the organization of information support of public authorities in the insurance of the state apparatus of information management for the adoption and solution of state issues of the market of medical and social services has been studied. Issues and system of information support of public management of the market of medical and social services are considered. The stages of the ICT implementation process in the market of medical and social services are described. The tools of state regulation in the market of medical and social services and the introduction of targeted programs for the development of the social sphere and health care are highlighted. Recommendations for improvement are formulated public management of the market of medical services and social way introduction of ICT tools, which provide for the implementation of a set of measures aimed at intellectualizing the entire system public data management spheres. The necessity of development of innovative tools of public management of the market of medical and social services of Ukraine for the purpose of working out of strategies of increase of quality of medical and social services in the XXI century is substantiated. A number of benefits from the implementation of an effective process of application of information support of public management of the market of medical and social services to ensure the efficiency of public authorities of Ukraine. It is proposed to create a "Department of information support of self-government" and electronic health care system (e-Health) to improve the management decision-making process, which will provide an opportunity to accumulate, process, analyze, and as a result, get the expected effect in the form of balanced management decisions by public authorities of Ukraine.

• Journal of Preventive Medicine and Public Health
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• v.55 no.5
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• pp.436-443
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• 2022

Objectives: Previous studies have reported that self-neglect, which may be a sign of elder abuse, can result in suicide among older adults. The signs of self-neglect and its impact on the risk of suicide may differ by gender. Thus, this study explored the association between self-neglect and suicide risk in older Korean adults and examined the potential moderating effect of gender on this relationship. Methods: Data were collected from 356 Korean adults aged 65 or older through an online survey. Multiple regression analysis was used to test the research hypothesis. First, the associations between 4 sub-dimensions of self-neglect (i.e., daily life management issues, personal hygiene issues, financial management issues, and relational issues) and suicidal ideation were examined. Then, the moderating effect of gender on these relationships was investigated by including interaction terms. Results: Self-neglect was significantly associated with suicidal ideation in older adults. Aspects of self-neglect related to daily life management and relational factors were key predictors of suicidal ideation. Gender significantly moderated the effect of the relational dimension of self-neglect on suicidal ideation. The relational dimension of self-neglect was more strongly associated with suicidal ideation in older women than in older men. Conclusions: The findings suggest the importance of screening older adults with signs of self-neglect for suicide risk. Special attention should be paid to older women who experience relational issues as a high-risk group for suicidal ideation. Public programs and support systems should be established to improve daily life management and promote social relationships among older adults.

• Asian Journal of Innovation and Policy
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• v.8 no.1
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• pp.58-72
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• 2019

The wave of the 4th Industrial Revolution was announced by Schwab Klaus at the 2016 World Economic Forum in Davos, and prospects and measures with the future society in mind have been put in place. With the launch of the Moon Jae-in administration in May 2017, Korea has shifted all of its interest to Big Data, which is one of the most important features of the 4th Industrial Revolution. In this regard, this study focuses on the role of the public sector, explores related issues, and identifies an agenda for determining the demand for ways to foster Big Data ecosystem, from an objective perspective. Furthermore, this study seeks to establish priorities for key Big Data issues from various areas based on importance and urgency using a Delphi analysis. It also specifies the agenda by which Korea should exert national and social efforts based on these priorities in order to demonstrate the role of the public sector in reinforcing the Big Data ecosystem.

• Asia Pacific Journal of Business Review
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• v.1 no.2
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• pp.89-105
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• 2017

In this era of information and communication technology (ICT), efficient and cost effective public services delivery had become highly expected by the citizen in every country. In developed countries, digitally enabled public services were established in recent years while the developing countries like Bangladesh were trying to establish this advancement. The UNDP, USAID and the Government of Bangladesh launched the Access to Information (A2I) programme to improve the services delivery to reach at the doorsteps of citizen. Under this umbrella, Union Digital Centers (UDCs) were launched in 2009 at every Union of Bangladesh to reduce the "Digital Divide" in public service delivery. Thus, it had become the concern nowadays to make this initiative sustainable for a long run, this study focused to find out some key factor to be considered for making them sustainable in Bangladesh. It explored the previous researches related to these centers and same categories of institutions in other countries where the researchers argued about some issues in different aspects. Based on their findings and discussions, this study tried to analyze the key issues influencing the sustainability factors. To analyze the factors for sustainability, it addressed the financial, investment, business development and publicity, competencies of entrepreneurs, community acceptance and gender issues, institutionalization and physical infrastructure concerned with UDCs. The Government agencies, policy makers, researchers could be consider those recommendations for developing the strategies for sustaining the operations of UDCs in Bangladesh.