• The Journal of Economics, Marketing and Management
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• v.9 no.4
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• pp.9-18
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• 2021

Purpose: This study examines some successful and failed cases of Korean private universities' profitable business and explores the desirable economic value and direction of their profitable business business operations with a view to shedding light on some clues conducive to their financial health and quality education. Research design, data and methodology: This study reviews news articles, reports and literature to find out Korean universities' financial condition and examines some successful and failed examples of their corporations' profit-making business operations to suggest a direction. Results: Private universities suffer declining enrollments and/or tuition freeze but they lack in making efforts to secure financial health. The reviewed examples of private universities' profit-making business operations suggest both universities and their corporations should first assume the public accountability prior to engaging in diverse business activities. Conclusions: First, to remain financially healthy, university corporations should exert themselves to transform their low-profit-margin lands and buildings into high-profit-margin businesses and to credit the realized income to their school-expense accounts. And, the ultimate purpose of universities' profit-making business operations is to realize a decent income without prejudice to their public accountability for the country and community, while forging a virtuous cycle by investing the income for the betterment of their educational quality and competitiveness.

• Journal of Engineering Education Research
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• v.25 no.3
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• pp.35-44
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• 2022

Artificial intelligence is a core technology in the era of digital transformation, and as the technology level is advanced and used in various industries, its influence is growing in various fields, including social, ethical and legal issues. Therefore, it is time to raise social awareness on ethics of artificial intelligence as a prevention measure as well as improvement of laws and institutional systems related to artificial intelligence development. In this study, we analyzed unstructured data, typically text, such as online news articles and comments to confirm the degree of social awareness on ethics of artificial intelligence development. The analysis showed that the public intended to concentrate on specific issues such as "Human," "Robot," and "President" in 2018 to 2019, while the public has been interested in the use of personal information and gender conflics in 2020 to 2021.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.6
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• pp.1004-1022
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• 2022

This study seeks to investigate K-fashion's external image by examining the trends in global media reporting. It applies Dynamic Topic Modeling (DTM), which captures the evolution of topics in a sequentially organized corpus of documents, and consists of text preprocessing, the determination of the number of topics, and a timeseries analysis of the probability distribution of words within topics. The data set comprised 551 online media articles on 'Korean fashion' or 'K-fashion' published on Google News between 2010 and 2021. The analysis identifies seven topics: 'brand look and style,' 'lifestyle,' 'traditional style,' 'Seoul Fashion Week (SFW) event,' 'model size,' 'K-pop,' and 'fashion market,' as well as annual topic proportion trends. It also explores annual word changes within the topic and indicates increasing and decreasing word patterns. In most topics, the probability distribution of the word 'brand' is confirmed to be on the increase, while 'digital,' 'platform,' and 'virtual' have been newly created in the 'SFW event' topic. Moreover, this study confirms the transition of each K-fashion topic over the past 12 years, along with various factors related to Hallyu content, traditional culture, government support, and digital technology innovation.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.7
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• pp.1152-1163
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• 2009

Product development and marketing that appeal to consumer emotions are important as shown by a variety of product and service industries that integrate fashion and arts into product design and marketing through collaboration. This study attempted to analyze the patterns in the collaborations of fashion and arts across industry disciplines. A total of 278 collaboration cases reported in news articles were collected from internet databases. Cases were categorized into 5 disciplines of fashion-fashion, arts-arts, fashion-arts, fashion-other industries, and arts-other industries, with each category analyzed in frequency distribution and collaboration type along with related partner and industry characteristics. Collaborations with other industries were observed more than internal ones, and individuals (rather than firms) were more involved in collaborations. Though the collaboration characteristics were different by partner category and sub-category, by individual or firm, and by related industries, a variety of collaborations integrating fashion and arts into product design and development, a new brand launching, product line extension, and co-marketing were observed across product and industry disciplines. The study also described fashion and arts that were integrated into consumer life styles.

• Journal of the Korean Society of Safety
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• v.32 no.3
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• pp.83-89
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• 2017

A new technology has provided the nation, industry, society, and people with innovative and useful functions. National economy and society has been improved through this technology innovation. Despite the benefit of technology innovation, however, since technology society was sufficiently mature, the unintended side effect and negative impact of new technology on society and human beings has been highlighted. Thus, it is important to investigate a risk of new technology for the future society. Recently, the risks of the new technology are being suggested through a large amount of social data such as news articles and report contents. These data can be used as effective sources for quantitatively and systematically forecasting social risks of new technology. In this respect, this paper aims to propose a data-driven process for forecasting and assessing social risks of future new technology using the text mining, 4M(Man, Machine, Media, and Management) framework, and analytic hierarchy process (AHP). First, social risk factors are forecasted based on social risk keywords extracted by the text mining of documents containing social risk information of new technology. Second, the social risk keywords are classified into the 4M causes to identify the degree of risk causes. Finally, the AHP is applied to assess impact of social risk factors and 4M causes based on social risk keywords. The proposed approach is helpful for technology engineers, safety managers, and policy makers to consider social risks of new technology and their impact.

• Korean Journal of Human Ecology
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• v.9 no.2
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• pp.53-63
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• 2006

The purpose of this study is to analyze the background and characteristics of fashion in wanna-be phenomenon. The primary source of data has been a collection of recent books, news repots, many articles from various kinds of mass media and fashion internet cite. The results of this study can be summarized as follow. First, The wanna-be phenomenon can be divided the background into three parts : change to entertainment society, increase of mass consumption, increase mutual communication with star and fan. Second, the function of fashion in wanna-be phenomenon can be divided with the following: the function of self-expression, guide book of trendy lifestyle, and play for pleasure. Third, fashion style in wanna-be phenomenon can be divided with the following : chic & gorgeous style, sexy casual & chav style, bohemian mix & match style.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.391-406
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• 2015

Social media have emerged as new communication channels between consumers and companies that generate a large volume of unstructured text data. This social media content, which contains consumers' opinions and interests, is recognized as valuable material from which businesses can mine useful information; consequently, many researchers have reported on opinion-mining frameworks, methods, techniques, and tools for business intelligence over various industries. These studies sometimes focused on how to use opinion mining in business fields or emphasized methods of analyzing content to achieve results that are more accurate. They also considered how to visualize the results to ensure easier understanding. However, we found that such approaches are often technically complex and insufficiently user-friendly to help with business decisions and planning. Therefore, in this study we attempt to formulate a more comprehensive and practical methodology to conduct social media opinion mining and apply our methodology to a case study of the oldest instant noodle product in Korea. We also present graphical tools and visualized outputs that include volume and sentiment graphs, time-series graphs, a topic word cloud, a heat map, and a valence tree map with a classification. Our resources are from public-domain social media content such as blogs, forum messages, and news articles that we analyze with natural language processing, statistics, and graphics packages in the freeware R project environment. We believe our methodology and visualization outputs can provide a practical and reliable guide for immediate use, not just in the food industry but other industries as well.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06c
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• pp.53-57
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• 2010

현재 많은 포털 사이트에서는 인기가 있거나 중요도가 높은 키워드에 대해 정보를 제공해주는 태그 클라우드나 연관 검색어 등의 기능이 제공되고 있다. 하지만 대부분의 뉴스기사 페이지들은 날짜와 분야별로 기사들이 나열되어 있으며 사용자는 카테고리별로 나누어진 기사를 읽을 수만 있을 뿐 그 기사와 연관된 다른 기사의 정보에 대해서 한눈에 알아 볼 수 있는 방법은 미흡한 실정이다. 또한 연관 검색어 서비스도 사용자가 검색한 입력 내용을 기반으로 연관성 정도를 분석하여 객관성을 보장하지 못하고 있다. 본 논문에서는 기존의 태그 클라우드 방식에서 좀 더 나아가 축적된 뉴스 기사로 부터 검색 키워드와 밀접히 연관된 키워드를 추출하여 제공하는 기사 검색 시스템을 소개한다. 이 시스템은 사용자가 기사 검색을 하였을 때, 키워드와 가장 밀접한 기사를 검색해 주는 것뿐만 아니라 검색어와 관련된 연관 키워드들을 보여주고 연관된 키워드간의 관계성을 보여줌으로써 뉴스 기사들 속에 숨겨진 연관정보의 탐색을 가능하게 한다.

• Korean Journal of Clinical Pharmacy
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• v.31 no.1
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• pp.1-11
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• 2021

Objective: This study aimed to overview and assess the effectiveness of the policies and regulations that have governed new drug access in Korea, and to propose policies to enhance patient access to drugs, particularly for new innovative medicines. Methods: We approached drug access issues in two perspectives: approval lag (or availability) and reimbursement lag (or affordability). The issues were identified and evaluated through the review of literature, public documents, reports published by the government agencies and private organizations, and news articles. Results: To shorten approval lag, it is recommended to hire and train more reviewers at the Ministry of Food and Drug Safety. Increasing user fees to a realistic level can facilitate this process. To reduce reimbursement lag, flexible incremental cost-effectiveness ratio threshold, alternative cost-effectiveness evaluation, and establishment of funding source other than the national health insurance are identified as the areas to be improved. Conclusion: The current policies and regulations had to be supplemented by new systems to drastically promote patient accessibility to new drugs, consequently in order to promote national public health.

• Journal of Korean Academy of Nursing
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• v.51 no.4
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• pp.408-413
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• 2021

Recently, nurse suicide has emerged as one of the major issues. We tried to review the status of nurse suicide and its management in Korea through inspecting related web sites, news articles, and research. However, there were no sufficient reports or statistics along with the research throughout the country. Moreover, there were no organized nurse suicide management systems or programs including suicide prevention, suicide intervention, suicide postvention management. In other countries, there were various trials and successful experiences about nurse suicide programs, and those have been managed in organized and integrated ways. It gave us a lot of implications. To effectively prevent and manage the nurse suicide in Korea, nursing workforce, nursing managers, and nursing researchers should be concerned about nurse suicide. Furthermore, discussions and the research must be made actively. Based on such efforts, appropriate programs, organized manage systems, and policies must be devised at institution and national level.