• Korean Journal of Clinical Pharmacy
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• v.28 no.2
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• pp.146-153
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• 2018

Objective: Multi-regional clinical trials have been widely used for accelerating global drug development by multinational pharmaceutical companies. In this study, we aimed to review and analyze the international trends in regulations and guidelines on multi-regional clinical trials by regulatory authorities and international organizations, such as International Conference on Harmonisation, for referring to policies, including development of domestic guidelines for multi-regional clinical trials. Methods: The policies, regulations, and guidelines published by the US Food and Drug Administration, European Medicines Agency, Pharmaceuticals and Medical Devices Agency (Japan), and China Food and Drug Administration were searched, and the International Conference on Harmonisation E17 draft guideline was reviewed. Results: The regulatory authorities in developed countries have developed and implemented regulations and guidelines on multi-regional clinical trials to promote simultaneous global drug development and evaluate the regional differences in drug safety and efficacy. International Conference on Harmonisation developed the draft guideline for planning/designing of multi-regional clinical trials in 2016, which recommends the general principles for strategy-related issues and design of multi-regional clinical trials, and for protocol-related issues, such as consideration of regional variability, subject selection, dose selection, endpoints, comparators, overall sample size, allocation to regions, collecting information on efficacy and safety, and statistical analysis. Conclusion: It is important to understand the international regulatory requirements for designing and planning of multi-regional clinical trials for global drug development. Moreover, it is necessary to prepare multi-regional clinical trial guidelines in accordance with the Korean regulation for clinical trials and drug administration.

• Cartoon and Animation Studies
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• s.11
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• pp.55-72
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• 2007

Entering the Chinese animation market is a requirement for the survival and growth of Korean animation industry. While the size of Korean domestic animation market is not big enough to explain the investment for the production of animation project, the rapidly growing Chinese market provides a great potential for Korean animation. However, in recent few years, a high entrance barrier has been raised by Chinese government who aggressively enforce the strong policy to protect and develop the Chinese animation industry, by blocking the foreign animations out of Chinese domestic TV broadcasting. As a result, Chinese animation industry has witnessed a rapid growth enough to satisfy the domestic TV programming needs, and there seems no room for Korean animation to be exposed to Chinese animation consumers, whether through export of the program or co-production with Chinese companies. Through the study on Chinese government's policies and recent development of Chinese animation industry, this article is suggesting a new strategy for Korean animation industry to effectively exploit the Chinese market. In order to overcome the entrance barrier, Korean animation industry should satisfy the needs of Chinese government and industry for mutual benefit of both countries, and it can be accomplished by positioning Korean animation industry as a partner for Chinese industry, helping China in its way to the No.1 position in the global animation market. By providing the creative development capability, business knowhow and global marketing network for the co-production project, Korean animation industry can make a win-win situation for both countries, and at this point of stage, it would be the most effective way to make a meaningful presence of Korean animation industry in Chinese market.

• Journal of Climate Change Research
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• v.4 no.2
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• pp.105-114
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• 2013

Recently, foreign direct investment of Korea has increased significantly. Foreign direct investment is motivated by various reasons and renewable energy investments in foreign countries can be performed by many causes. Korean companies can enjoy the export of products, related EPC contracts, acquisition of the knowledge of the project management technique, pre-occupying effect of the market and profit itself. Wind power projects have biggest share in the investment amounts among the renewable energy business. So, in this study, one wind farm project was selected and supposed to be invested in China, USA, Germany and UK at the same time and the effect of electricity price, corporate income tax, inflation rate and interest rate of debt were analyzed. The result showed that investing in Germany is most profitable because of the highest electricity price and electricity price and debt interest rate are the most sensitive factors for IRR. This approach would be helpful to make decisions in investing foreign wind power projects.

• International Area Studies Review
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• v.21 no.2
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• pp.97-120
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• 2017

This study attempted to examine how Chinese consumers' brand authenticity of Korean cosmetic brands are related to brand loyalty through brand aura. In other words, this study observed how Chinese consumers' brand authenticity, which includes product, employee and corporate authenticity related to Korean cosmetic brands, influence on the consumers' brand loyalty through brand aura. To this end, we surveyed Chinese consumers visiting Korean cosmetic brand shops in department stores, discount stores and large shopping malls in Beijing, Shanghai, Guangzhou in China. A total of 400 surveys were used in the empirical analysis. The results of empirical analysis confirmed that product, employee, and corporate authenticity of Chinese consumers have for Korean cosmetic brands positively influenced on brand aura. Furthermore, results showed that Chinese consumers' brand aura of Korean cosmetic brands had a positive effect on brand loyalty. The results of this study provide implications to help Korean cosmetic companies gain a competitive edge in the Chinese cosmetic market by understanding Chinese consumers' authenticity of their brands and building brand images and using differentiated marketing strategies that can induce brand aura.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.553-560
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• 2023

The study is about domestic industries following the migration of hubs (innovation, manufacturing) to other countries and the hub-oriented US industries (batteries, semiconductors, electric vehicles). Additionally, the ongoing trade tensions between the United States and China may have also played a role in companies moving their operations to the United States. The result of such a move could potentially include job creation in the United States, as well as increased investment in the U.S. manufacturing sector. However, it is also possible that there could be negative consequences, such as higher prices for consumers or disruptions to supply chains during the relocation process. However, such IRA, Chips Act scenario would likely also have negative consequences (Inflation in the home country) for the countries whose industries moved to the US, as they would lose jobs, investment, and possibly face economic difficulties as a result. As the result of the empirical analysis of the export scale of Korea and the United States, changes in the movement of global supply hubs are related to factors such as geopolitical price increases and consumption declines. In order to respond to these changes, this paper emphasizes the need to prevent the result of de-advantage by moving the production area of the scale.

• Journal of Energy Engineering
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• v.24 no.3
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• pp.150-163
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• 2015

Gasification technology is one of the representative next-generation fossil fuel utilization technologies, converting low grade fossil fuels such as coal, heavy residue oil, pet-coke into highly clean and efficient energy sources. Accordingly, related market demand for gasification technology is ever increasing steadily and rapidly. A few years ago, conventional pulverized coal utilization technology had an edge over the gasification technology but the most significant technical barrier of limited capacity and availability has been largely overcome nowadays. Futhermore, it will be more competitive in the future with the advancement of related technologies such as gas turbine, ion transfer membrane and so on. China has recently completed a commercialization-capable large-scale coal gasification technology for its domestic market expansion and foreign export, rapidly becoming a newcomer in the field and competing with existing US and EU technical leadership at comparable terms. Techno-economic aspect deserves intensive attention and steady R&D efforts need to continue in organized, considering that gasification technology is quite attractive combined with $CO_2$ capture process and coal to SNG plant is economically viable in Korea where natural gas is very expensive. In the present paper, recent technology development and commercialization trend of many leading companies with coal gasification expertise have been reviewed with significant portion of literature cited from the recently held '2014 Gasification Technology Conference'.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.2
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• pp.137-149
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• 2017

This study aims to verify culture-universal invariances and culture-particular differences in the relationship of job stress, flourishing, and job engagement. For this purpose, we selected a global korean company having a local corporation in China in order to minimize the influence of organizational factor and a self-report questionnaire survey was conducted by 141 personnels of head office and 107 personnels of chinese branch. At first, the mediating effect of flourishing on the relationship between job stress and job engagement was significant for both korean and chinese personnel. Second, regression analyses were conducted in order to demonstrate influence of detailed job stress on flourishing and job engagement. As for flourishing, decision making and responsibility factor was significant for korean personnel, and lack of social support factor and job characteristic factor were significant for chinese personnel. Regarding job engagement, lack of social support factor and job characteristic factor were significant for both two samples and decision making and responsibility factor was significant for korean personnel whereas non-significant for chinese personnel. The results could give a meaningful perspectives to companies interested in extending their business abroad. Finally, implications and limitations of the study and suggestions for future research were discussed.

• Journal of Korea Port Economic Association
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• v.29 no.3
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• pp.39-72
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• 2013

As a regional development gap between Southwest and Southeast of Jeonnam Province are becoming more serious, it is highly time to come up with measures for the balanced development of the two areas. This paper suggests construction of the Airport and Port Supporting Complex in apparent efforts to reduce the gap between the two areas and facilitate the Southwest economy. The Supporting Complex aims to constitute a triangle industrial cluster which is classified into the following three categories; 1. Traditional competitive industries 2. New growth engine industries 3. Attraction of companies u-turning from abroad such as China etc. To provide one-stop service through set-up of R&D Business Center is the heart of this triangle core. This paper had LQ and Shift&Share Analysis in an attempt to search for competitive industries among the traditional industries in Mokpo-si(city) and Muan-gun(county) of Jeonnam Province. As a result of the analysis, metal manufacturing industry and metal-working process products industry have been found competitive in the two areas. Among the new growth engine industries, this paper suggests precision instruments industry and advanced parts industry for utmost strengths of airport and port while u-turning industries from abroad include higher value-added textile industry and fashion industry. It is expected that all of above-mentioned industries for the triangle industrial cluster will contribute to laying the groundwork to develop regional economy further and create more jobs in the Southwest area of Jeonnam Province.

• Journal of the Korean Applied Science and Technology
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• v.40 no.6
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• pp.1580-1588
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• 2023

The desire for clear and clean skin is universal among both men and women. Women, in particular, seek the help of foundation to achieve beautiful and transparent skin. The choice of foundation is not determined by the race of an individual; instead, it varies based on personal skin color and undertone. Therefore, there is a need to surpass the stereotype of using foundation colors based on racial discrimination. The purpose of this study is to randomly select cosmetics brands from Korea, China, Japan, the United States, France, and the United Kingdom, considering the impact of each photo, environment, and equipment. The objective is to understand the differences in skin tones in foundation advertisement model images on websites. Analyzing the RGB values of foundation colors for each brand revealed that in Korea, the colors were 8.75R, 1.25YR, 2.5YR, 3.75YR, 5YR, and 6.25YR. Chinese brands showed similar colors with 2.5YR, 3.75YR, 5YR, 6.25YR, and 10YR. Japanese brands displayed colors such as 7.5R, 8.75R, 10R, 5YR, 6.25YR, and 7.5YR. American brands presented colors like 6.25R, 8.75R, 10R, 2.5YR, 3.75YR, 5YR, 6.25YR, 7.5YR, and 10YR. French brands featured 10R, 1.25YR, 3.75YR, 5YR. Lastly, British brands displayed 2.5YR, 3.75YR, 7.5YR. As a follow-up study, in-depth research on the reshaping and color changes of foundation over time is recommended. It is hoped that this research will serve as fundamental data for makeup companies' marketing and contribute to the development of both domestic and international color cosmetics markets.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.69-88
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• 2022

One of the characteristics of South Korea's economic structure is that it is highly dependent on exports. Thus, many businesses are closely related to the global economy and diplomatic situation. In addition, small and medium-sized enterprises(SMEs) specialized in exporting are struggling due to the spread of COVID-19. Therefore, this study aimed to develop a model to forecast exports for next year to support SMEs' export strategy and decision making. Also, this study proposed a strategy to recommend promising export countries of each item based on the forecasting model. We analyzed important variables used in previous studies such as country-specific, item-specific, and macro-economic variables and collected those variables to train our prediction model. Next, through the exploratory data analysis(EDA) it was found that exports, which is a target variable, have a highly skewed distribution. To deal with this issue and improve predictive performance, we suggest a separated learning method. In a separated learning method, the whole dataset is divided into homogeneous subgroups and a prediction algorithm is applied to each group. Thus, characteristics of each group can be more precisely trained using different input variables and algorithms. In this study, we divided the dataset into five subgroups based on the exports to decrease skewness of the target variable. After the separation, we found that each group has different characteristics in countries and goods. For example, In Group 1, most of the exporting countries are developing countries and the majority of exporting goods are low value products such as glass and prints. On the other hand, major exporting countries of South Korea such as China, USA, and Vietnam are included in Group 4 and Group 5 and most exporting goods in these groups are high value products. Then we used LightGBM(LGBM) and Exponential Moving Average(EMA) for prediction. Considering the characteristics of each group, models were built using LGBM for Group 1 to 4 and EMA for Group 5. To evaluate the performance of the model, we compare different model structures and algorithms. As a result, it was found that the separated learning model had best performance compared to other models. After the model was built, we also provided variable importance of each group using SHAP-value to add explainability of our model. Based on the prediction model, we proposed a second-stage recommendation strategy for potential export countries. In the first phase, BCG matrix was used to find Star and Question Mark markets that are expected to grow rapidly. In the second phase, we calculated scores for each country and recommendations were made according to ranking. Using this recommendation framework, potential export countries were selected and information about those countries for each item was presented. There are several implications of this study. First of all, most of the preceding studies have conducted research on the specific situation or country. However, this study use various variables and develops a machine learning model for a wide range of countries and items. Second, as to our knowledge, it is the first attempt to adopt a separated learning method for exports prediction. By separating the dataset into 5 homogeneous subgroups, we could enhance the predictive performance of the model. Also, more detailed explanation of models by group is provided using SHAP values. Lastly, this study has several practical implications. There are some platforms which serve trade information including KOTRA, but most of them are based on past data. Therefore, it is not easy for companies to predict future trends. By utilizing the model and recommendation strategy in this research, trade related services in each platform can be improved so that companies including SMEs can fully utilize the service when making strategies and decisions for exports.