• Journal of Digital Convergence
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• v.10 no.6
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• pp.205-211
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• 2012

According to the Hebei Spirit incident, 12,547kl of crude oil was spilled into the sea and a total of approximately 40,000 households was damaged. Also, eleven cities and counties including "Taean" were designated as a Special Disaster District by government. Large oil pollution incidents cause severe impact on the change of the surrounding environment as well as destruction of the natural environment of damaged areas. This study analyzes the impacts on the surrounding environment of damaged areas caused by Hebei Spirit oil pollution incident, focusing on the largest damaged county called Taean. Survey was performed with items which are changes in population and local economy, effects on public health, social conflicts and etc. The result of analysis can be used as an important factor to forecast the impact on a damaged area in case of future oil pollution incidents and to establish effective policy of government.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.267-272
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• 2020

Macroeconomics are one of the indicators that are preceded and analyzed when analyzing stocks because it shows the movement of a country's economy as a whole. The overall economic situation at the national level, such as national income, inflation, unemployment, exchange rates, currency, interest rates, and balance of payments, has a great affect on the stock market, and economic indicators are actually correlated with stock prices. It is the main source of data for analysts to watch with interest and to determine buy and sell considering the impact on individual stock prices. Therefore, economic indicators that impact on the stock price are analyzed as leading indicators, and the stock price prediction is predicted through deep learning-based prediction, after that the actual stock price is compared. If you decide to buy or sell stocks by analysis of stock prediction, then stocks can be investments, not gambling. Therefore, this research was conducted to enable automated stock trading by using macro-indicators and deep learning algorithms in artificial intelligence.

• Journal of Digital Convergence
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• v.18 no.5
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• pp.75-87
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• 2020

The present study determined new value that can be created through the convergence between artificial intelligence technology (AIT) and all industries by deriving and thoroughly analyzing major issues related to artificial intelligence (AI). This study analyzes domestic articles related to AI using topic modeling method based on LDA algorithm. Keywords were extracted from 3,889 articles of eleven metropolitan newspapers, eight business newspapers and major broadcasting companies; articles were selected by searching for the keyword "artificial intelligence". Keywords were extracted by optimizing the relevance parameter λ to improve the measure of pointwise mutual information (PMI), which shows the association among the keywords of each topic, and topic names were inferred from keywords based on valid evidence. The extracted topics widely showed changes occurring throughout society, economy, industries, culture, and the support policy and vision of the government.

• Journal of Korea Multimedia Society
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• v.10 no.2
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• pp.246-259
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• 2007

The animation industry, which accelerates the overall development of the Digital contents industry, is a high value-added industry that produces synergy effects in cooperation with key industries such as IT. Effectively serving as a vital energy source for the Korean economy through its positive effects, such as employment creation. In particular, there is the real prospect that the Korean animation industry will gain ground in overseas markets and thus occupy them ahead of others, by advancing overseas in uni son with the hypersonic network industry. In this regard, this study aims to suggest some concrete ways in which to Korean animation companies can enhance their competitiveness. This is accomplished by positively verifying that some major representative methods of competitiveness enhancement, whose effectiveness has been proved in existing manufacturing and production systems. a re also excellently effective for the animation enterprise. In effect, the study has positively applied and carried out such research on Korean animation enterprises.

• Journal of Digital Policy
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• v.2 no.1
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• pp.21-30
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• 2023

Current research and practice have increasingly sought to focus on approaches to facilitate innovation due to its expanding growth of the experience economy over the past decade. Normally, customer experience design aims to maximize the effectiveness of positive experience with a brand or company's touchpoints when customers make a purchase as well as use a certain product or service. In order to design a product or service that can provide varying levels of experiences, there needs more beneficial design process strategies to help resolve the changing nature of customer experience. Design process is one such approach that provides designers as well as researchers across various academic disciplines as an integral source of creativity, driving innovation and growth. In this regard, this study aims to look specifically at the nature of customer experience and attempts to understand what extent that design process in both practice and theoretical perspective can assist in customer experience improvement. As a further consequence, this study will focus on implementing the idea of circular design into the customer experience process, namely the Circular CX Design Process-which is expected to increase effectiveness and efficiency in addressing customer needs and demands as well as delivering positive experiences at various touchpoints along the customer journey.

• Journal of the Korean Society for information Management
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• v.37 no.3
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• pp.253-274
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• 2020

In this study, text mining and main path analysis (MPA) were applied to understand the origins and development paths of research areas that make up the mainstream of Korean studies. To this end, a quantitative analysis was attempted based on digital texts rather than the traditional humanities research methodology, and the main paths of Korean studies were extracted by collecting documents related to Korean studies including citation information using a citation database, and establishing a direct citation network. As a result of the main path analysis, two main path clusters (Korean ancient agricultural culture (history, culture, archeology) and Korean acquisition of English (linguistics)) were found in the key-route search for the Humanities field of Korean studies. In the field of Korean Studies Humanities and Social Sciences, four main path clusters were discovered: (1) Korea regional/spatial development, (2) Korean economic development (Economic aid/Soft power), (3) Korean industry (Political economics), and (4) population of Korea (Sex selection) & North Korean economy (Poverty, South-South cooperation).

• Journal of Digital Convergence
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• v.14 no.2
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• pp.271-278
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• 2016

University-industry cooperation is indispensable for a short-term problem solving, as well as sustainable growth in the economy of the Republic of Korea. In order to embody and implement that, the government has run a variety of financial assistance programs and policies for the promotion of the cooperation for the last 10 years, and Korea Sanhak Foundation has made progress in academic and research development support, creative personnel training and scholarships, International Support and other projects. In this paper, window-type university-industry convergence and practices, and analyzing the best practices of national and international IT-based fusion technology, corporate cooperation were established to support measures taken in conjunction type and model of the university. Industry utilizing the latest IT technology based on this model, academia, proposed a collaboration system between workers building measures.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.107-113
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• 2016

This paper proposes various policies for maximizing the performances of Government loan. In order to do so, this paper offers new 10 policies with results from analyzing a survey for the requirements of SMEs that were supported with Government loan program. Also this paper drives methods for finding new value indices and reforming formulas for quantifying some indices. On the other hand, this paper introduces financing methods using K-OTC and KONEX markets and presents three portal sites to provide information about Government sponsored loan matched to needs of an individual company. Also this paper improves the supplement points resulted from operating Government loan. In conclusion, these new policies will raise effectiveness and efficiency of Government loan programs and will contribute to achieving the goals which are establishing the foundation for growth in IT industry as well as IT SMEs, improving the quality of the national livelihood and promoting the growth of national economy.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.333-342
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• 2020

In this study, an interview survey was conducted for three months by a counselor who had experience of retractation of turnover intention to find out what factors played an important role in retractation of turnover intention. The results found that task shift, motivation, self-efficacy, and emotion control were the major factors in the retractation of counselor's turnover intention, while superior support and colleague support did nop affect. Among them, emotion control and task shift had more influence on retractation of turnover intention than other factors. The results of this study are expected to maximize the stabilization of the organization by lowering the turnover rate of counselor in the customer center department becoming more important in the enterprise and to provide an important theoretical basis for studies related to retractation of customer center counselor's turnover intention.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.89-95
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• 2019

he purpose of this study is to propose a shared platform service that can deal with used books based on small stores. The volume of used book market has more than doubled since the book price system, and large bookstores are actively participating in the used book market. Used book sharing platform is an advanced form of online used book direct trade and can be easily used by installing applications on the user's mobile phone. The second-hand book sharing platform is not a shared platform that creates a huge profit-making enterprise, but a future-oriented shared platform that can benefit all users of the platform. If the shared platform, which is the core of the fourth industrial revolution, is applied to almost all small stores and utilized as a hub for second-hand book transactions, it will establish itself as a more reasonable market for second-hand book transactions.