• The Journal of the Korea Contents Association
• /
• v.10 no.3
• /
• pp.423-435
• /
• 2010

The number of professionals in the science and engineering fields decreases all over the world. Especially in Korea, the declining rate of both the laborable and economically active population, aging of the population at the fastest level, and the declining birth rate make it tougher to secure the core brains of the future. After speculation of all programs above, some common factors have been derived and every program appeared to have the support for each level of inducing, caring, and utilizing. And the means of support could be categorized into the financial, legal, and social aspects. Lastly, a logical tool called Systems Thinking has been applied to the FLS Conditions and the Brain Internalization Process to assure the efficacy and applicability of the models. This is to minimize any de facto side effects by analyzing all 'feedback loops' stemming from the models. And the 'causal loop diagrams' have been utilized to come with the complementary measures. Such series of verification could convince the virtue of the models. Governments and universities can make use of the FLS Conditions and the Brain Internalization Process so the policies or plans about the foreign brains can be built in a uniformized and consistent framework. I hope, as a result, the international competency of Korea to induce and utilize the foreign brains be raised with the constant and standardized formality.

• Journal of Korean Society for Atmospheric Environment
• /
• v.27 no.5
• /
• pp.485-493
• /
• 2011

In Korea, PM (Particulate Matter) emissions caused by coal-fired power plants are measured by a system, so called Clean Air Policy Support System (CAPSS), which uses foreign emission factors. However, the system fails to reflect the characteristics of domestic power plants. In this regard, this study aims to develop local, accurate domestic emission factors. The study measured the amount of TSP (Total Suspended Particulates), PM10 and PM2.5 by collecting samples from the latter parts of pollution control devices which were installed at 3 bituminous-fired power plants and 3 anthracite-fired power plants. The results showed that the average concentrations of TSP, PM10 and PM2.5 measured at bituminous-fired power plants were 4.63 mg/$Sm^3$, 2.96 mg/$Sm^3$ and 3.07 mg/$Sm^3$ respectively, much higher than those from anthracite-fired power plants (2.96 mg/$Sm^3$, 2.47 mg/$Sm^3$ and 1.37 mg/$Sm^3$, respectively). In addition, bituminous-fired power plants showed higher ratios of PM10/TSP and PM2.5/TSP with 0.66 and 0.92, respectively, compared to 0.82 and 0.46, the ratios of PM10/TSP and PM2.5/TSP measured in anthracite-fired power plants. Emission factors based-on concentration measurements were also higher for bituminous-fired power plants, and PM with smaller particles tended to have bigger difference in emission factors between the two fuels. This study calculated the amount of PM emissions by using the estimated emission factors. When it comes to the PM emissions, it was less than that of CAPSS while similar to that of CleanSYS in its amount. It is expected that the emission factors developed by this study will be used in Korea replacing foreign emission factors currently used in Korea by ensuring the objectivity and reliability as domestic emission factors.

• Journal of Intelligence and Information Systems
• /
• v.24 no.2
• /
• pp.149-169
• /
• 2018

Korea is currently accumulating a large amount of data in public institutions based on the public data open policy and the "Government 3.0". Especially, a lot of data is accumulated in the tourism field. However, the academic discussions utilizing the tourism data are still limited. Moreover, the openness of the data of restaurants, hotels, and online tourism information, and how to use SNS Big Data in tourism are still limited. Therefore, utilization through tourism big data analysis is still low. In this paper, we tried to analyze influencing factors on foreign tourists' satisfaction in Korea through numerical data using data mining technique and R programming technique. In this study, we tried to find ways to revitalize the tourism industry by analyzing about 36,000 big data of the "Survey on the actual situation of foreign tourists from 2013 to 2015" surveyed by the Korea Culture & Tourism Research Institute. To do this, we analyzed the factors that have high influence on the 'Satisfaction', 'Revisit intention', and 'Recommendation' variables of foreign tourists. Furthermore, we analyzed the practical influences of the variables that are mentioned above. As a procedure of this study, we first integrated survey data of foreign tourists conducted by Korea Culture & Tourism Research Institute, which is stored in the tourist information system from 2013 to 2015, and eliminate unnecessary variables that are inconsistent with the research purpose among the integrated data. Some variables were modified to improve the accuracy of the analysis. And we analyzed the factors affecting the dependent variables by using data-mining methods: decision tree(C5.0, CART, CHAID, QUEST), artificial neural network, and logistic regression analysis of SPSS IBM Modeler 16.0. The seven variables that have the greatest effect on each dependent variable were derived. As a result of data analysis, it was found that seven major variables influencing 'overall satisfaction' were sightseeing spot attraction, food satisfaction, accommodation satisfaction, traffic satisfaction, guide service satisfaction, number of visiting places, and country. Variables that had a great influence appeared food satisfaction and sightseeing spot attraction. The seven variables that had the greatest influence on 'revisit intention' were the country, travel motivation, activity, food satisfaction, best activity, guide service satisfaction and sightseeing spot attraction. The most influential variables were food satisfaction and travel motivation for Korean style. Lastly, the seven variables that have the greatest influence on the 'recommendation intention' were the country, sightseeing spot attraction, number of visiting places, food satisfaction, activity, tour guide service satisfaction and cost. And then the variables that had the greatest influence were the country, sightseeing spot attraction, and food satisfaction. In addition, in order to grasp the influence of each independent variables more deeply, we used R programming to identify the influence of independent variables. As a result, it was found that the food satisfaction and sightseeing spot attraction were higher than other variables in overall satisfaction and had a greater effect than other influential variables. Revisit intention had a higher ${\beta}$ value in the travel motive as the purpose of Korean Wave than other variables. It will be necessary to have a policy that will lead to a substantial revisit of tourists by enhancing tourist attractions for the purpose of Korean Wave. Lastly, the recommendation had the same result of satisfaction as the sightseeing spot attraction and food satisfaction have higher ${\beta}$ value than other variables. From this analysis, we found that 'food satisfaction' and 'sightseeing spot attraction' variables were the common factors to influence three dependent variables that are mentioned above('Overall satisfaction', 'Revisit intention' and 'Recommendation'), and that those factors affected the satisfaction of travel in Korea significantly. The purpose of this study is to examine how to activate foreign tourists in Korea through big data analysis. It is expected to be used as basic data for analyzing tourism data and establishing effective tourism policy. It is expected to be used as a material to establish an activation plan that can contribute to tourism development in Korea in the future.

• Quality Improvement in Health Care
• /
• v.12 no.2
• /
• pp.113-123
• /
• 2006

Objective : This research is focused on understanding the current status of the Health Smart Card already in use in other advanced countries. This research will analyze the current status of the medical institutions Health Smart Card system adoption process and its effects, and provide a basis for future policy decisions for the effective adoption and diffusion of a Health Smart Card system, in the medical field, through the completed research and analysis. Method : This research surveys the domestic, and foreign, status of Health Smart Card usage. The research also presents up-to-date methodology for the evaluation of the effects of medical and health care technology. The research also conducts a survey of the domestic medical institutions that have implemented a Health Smart Card system, and then analyzes the results of the survey. Additionally, the research carried out a survey and analysis of medical institutions with no Health Smart Card system implemented, and considered the factors affecting the diffusion of Health Smart Card systems in considering an effective policy for the introduction and diffusion of such a system. Research Results : Through the study of the methodology of medical and health care information technology in advanced countries, the methodology for assessing Health Smart Card technology has been established, and focuses on 6 aspects. The study on the status of foreign implementation has shown a model for the Health Smart Card system. A survey was conducted on the current status of medical institutions with an implemented Health Smart Card system, and the survey results have been analyzed. Also, factors influencing the adoption of Health Smart Card systems have been analyzed through the survey on those medical institutions that have not implemented a Health Smart Card system. Conclusion : The government must provide institutional measures for sharing medical records by constructing an IT infrastructure at the national level to enable the adoption and diffusion of a Health Smart Card system. Such a network will make connections between medical institutions possible, thus making the diffusion of the Health Smart Card system nationwide. For the successful adoption and diffusion of a Health Smart Card system, a model system development, under a medical record sharing system, should be conducted. Additionally, a regional unit based model should be developed for the model project, as is done in advanced countries, along with the application of such results.

• Journal of the Korean Society of Systems Engineering
• /
• v.7 no.1
• /
• pp.1-7
• /
• 2011

This work describes a study on the Analysis of Alternatives (AoA) based defense decision making. Future battle-space is transformed into a System of Systems (SoS) concept which is accomplished missions and their functions through network based battle management systems under forming their grids of various sensors and shooters in a single theater. The acquisition process is, therefore, changing over from single system requirements to capabilities based acquisition of SoS. AoA help to justify the need for starting, stopping, or continuing an acquisition program. AoA identify potentially viable solutions and provide comparative cost, effectiveness, and risk assessments of each solution to a baseline. The decision making must consider not only cost-effectiveness, risk, and military worth, but also domestic policy, foreign policy, technological maturity of the solution, the environment, the budget, treaties, and a host of additional factors. In this point of view, this paper analyzes AoA template which are critical elements of the defense decision making. From results of this analysis of AoA template for Korean acquisition environment are presented.

• The Journal of the Korea Contents Association
• /
• v.13 no.11
• /
• pp.677-689
• /
• 2013

This paper derives the evaluation indicators relating to the mechanism and success factors of culture industrial cluster from the successful cases of culture industry in foreign countries and provides policy implications for the successful construction of culture industrial cluster by comparing with the survey of Gwang-Ju city's culture content companies. This paper shows that policy implications are linkage by leading firm of successful companies, securing huge hinterlands nearby metro city, cultivating of creative talented persons, operating of capital funds, promoting main force business(game, animation, mobile)-oriented culture industry, positive vitalization of network, role strengthening of city or Information & Culture Industry Promotion Agency as vision provider, and aggressive granting of incentives for attracting companies.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.7
• /
• pp.15-25
• /
• 2020

This empirical research aims to identify the relationship between fiscal and financial macroeconomic fundamentals and the volatility of government bonds' borrowing cost in an emerging country - Vietnam. The study covers the period from July 2006 to December 2019 and it is based on a sample of 1-year, 3-year, and 5-year government bonds, which represent short-term, medium-term and long-term sovereign bonds in Vietnam, respectively. The Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) model and its derivatives such as EGARCH and TGARCH are applied on monthly dataset to examine and suggest a significant effect of fiscal and financial determinants of bond yield volatility. The findings of this study indicate that the variation of Vietnam government bond yields is in compliance with the theories of term structure of interest rate. The results also show that a proportion of the variation in the yields on Vietnam government bonds is attributed to the interest rate itself in the previous period, base rate, foreign interest rate, return of the stock market, fiscal deficit, public debt, and current account balance. Our results could be helpful in the macroeconomic policy formulation for policy-makers and in the investment practice for investors regarding the prediction of bond yield volatility.

• Asian Journal of Innovation and Policy
• /
• v.12 no.1
• /
• pp.131-154
• /
• 2023

This study investigates the productivity of Indonesian social scientists during the COVID-19 pandemic, with a particular concentration on their contributions to COVID-19 prevention and management. By categorizing social science research according to themes such as authors' gender, authors' institution of origin, forms of collaboration, and journal quality, this study examines the patterns and factors that influence research output. Using information from the Scopus database, 1,071 journal articles were analyzed in total. The findings indicate that collaborations with foreign researchers considerably improve productivity and publication quality, with Malaysian and Australian institutions serving as the most active partners. Nevertheless, there are gender disparities, as female authors write and are cited less frequently than male authors. The study stresses the importance of increasing international collaboration among Indonesian authors and implementing affirmative action policies to support and empower female researchers. This study contributes to the existing body of knowledge by providing policymakers, funding agencies, and academic institutions with recommendations for fostering a more inclusive and influential research environment in Indonesia.

• Asia Marketing Journal
• /
• v.7 no.3
• /
• pp.105-119
• /
• 2005

Samsung Fire & Marine Insurance Co., Ltd. launched 'Samsung Super Insurance Package', an insurance policy combining household's property & casualty insurance policies, except insurance with savings and pension insurance, into one for the first time in Korea. The product was developed to tackle challenges and threats from environmental changes, whose success owes to an excellent marketing strategies like adopting MCS system which is coined to support sales force activities, and building SRC(Samsung Risk Consultant), the organization dedicated to the sales of the product. The case shows how Samsung Fire & Marine Insurance Co., Ltd. developed and successfully marketed the combined insurance policy for the first time in Korea identifying the key success factors and discusses its business implications and future challenges.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.16 no.4
• /
• pp.115-133
• /
• 2021

This study examines the concept and related technologies of the 4th industrial revolution that has been mixed so far and examines the socio-economic changes and influences resulting from it, and the cases of responding to the 4th industrial revolution in major countries. Based on this, by deriving SWOT factors and calculating the importance of each factor for Korean venture companies to prepare for the forth industrial revolution, it was intended to help the government and policymakers in suggesting directions for establishing related policies. Furthermore, the purpose of this study was to suggest a direction for securing global competitiveness to Korean venture entrepreneurs and to help with basic and systematic analysis for further academic in-depth research. For this study, a total of 21 items derived through extensive literature research and data research to understand what are the necessary competency factors for internal and external environmental changes in order for Korean venture companies to have global competitiveness in the era of the 4th Industrial Revolution. After reviewing SWOT factors by three expert groups and confirming them through Delphi survey, the importance of each item was analyzed by using AHP, a systematic decision-making technique. As a result of the analysis, it was shown that Strength(48%), Opportunity(25%), Threat(16%), Weakness(11%) were considered important in order. In terms of sub-items, 'quick and flexible commercialization capability', 'platform/big data/non-face-to-face service activation', and 'ICT infrastructure and it's utilization' were shown to be of the comparatively high importance. On the other hand, in the lower three items, 'macro-economic stability and social infrastructure', 'difficulty in entering overseas markets due to global protectionism', and 'absolutely inferior in foreign investment' were found to have low priority. As a result of the correlation verification by item to see differences in opinions by industry, academia, and policy expert groups, there was no significant difference of opinion, as industry and academic experts showed a high correlation and industry experts and policy experts showed a moderate correlation. The correlation between the academic and policy experts was not statistically significant (p<0.01), so it was analyzed that there was a difference of opinion on importance. This was due to the fact that policy experts highly valued 'quick and flexible commercialization', which are strengths, and 'excellent educational system and high-quality manpower' and 'creation of new markets' which are opportunity items, while academic experts placed great importance on 'support part of government policy', which are strengths. The implication of this study is that in order for Korean venture companies to secure competitiveness in the field of the 4th industrial revolution, it is necessary to have a policy that preferentially supports the relevant items of strengths and opportunity factors. The difference in the details of strength factors and opportunity factors, which shows a high level of variability, suggests that it is necessary to actively review it and reflect it in the policy.