• Proceedings of the Technology Innovation Conference
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• 2004.02a
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• pp.83-107
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• 2004

This study investigates how and through which channels R&D activities influences the national economy, using a macro-econometric model. The macro-econometric model in this study includes 24 behavioral equations and 25 identities and was estimated using the annual data. From a simulation analysis, it is shown that the R&D investment has a permanent effect on real variables; lowering prices, wages and interest rates, and increasing potential and real GDP in the long run. It is noted that the national account was recalculated to avoid double-counting in estimation of R&D stocks.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.13 no.3
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• pp.181-188
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• 2009

Hundreds of thousands of South Korean protesters staged candlelight vigils and demonstrations against US beef imports in 2008. The problems, however, went far beyond that of beef imports. The political party veterans, who lost the presidential election, exploited labor unions that were discontent with the economy and ideological student groups to weaken the majority party. In this study, an epidemiological model is constructed with a system of three nonlinear differential equations. The model seeks to examine the dynamics of the system through stability analysis. Two threshold conditions that spread the protests are identified and a sensitivity analysis on the conditions is performed to isolate the parameters to which the system is most responsive. The results are also explored by deterministic simulations. This model can be easily modified to apply to other protests that may occur in various circumstances.

• Journal of Information Technology Applications and Management
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• v.24 no.4
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• pp.153-170
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• 2017

As the digital economy goes global, firms are trying to find suppliers that can address their managerial goals and strategies. The alternatives are not confined to domestic firms. Firms have been trying to connect to foreign partners worldwide. Although offshore outsourcing grants firms various benefits, they present big cultural challenges. However, there is little research on the impact of cultural or country factors on outsourcing. The goal of this paper is to synthesize the outsourcing success literature and develop propositions for outsourcing success in the context of offshore outsourcing. This paper proposes that cultural effects should be included in evaluating the success of offshore outsourcing. Knowledge sharing and the scope of outsourcing are adopted in the base outsourcing success model from previous literature. In the extended model partnership quality is included as a mediator and organizational capability and outsourcing relationship type are also included as moderator. Finally, the integrated framework of offshore outsourcing success includes cultural factors as moderators of the relationships between outsourcing success antecedents and the success of offshore outsourcing. Reasoning for propositions, managerial implications, and future research directions are discussed.

• East Asian Economic Review
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• v.19 no.2
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• pp.117-142
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• 2015

This paper uses a 53-country 15-industry computable general equilibrium model of trade to analyze the effects of the Korea-China free trade agreement on the Korean economy, the manufacturing sector in particular. The model is based on Yaylaci and Shikher (2014) which uses the Eaton-Kortum methodology to explain intra-industry trade. The model predicts that the Korea-China FTA will increase Korea-China manufacturing trade by 56%, manufacturing employment in Korea by 5.7% and China by 0.55%. The model also predicts significant reallocation of employment across industries with the Food industry in Korea losing jobs and other industries there gaining jobs, with the Medical equipment industry gaining the most. There will be some trade diversion from the ASEAN countries, as well as Japan and the United States.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.05a
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• pp.253-254
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• 2015

Currently, according to the climate change, the damages due to the hurricane is more increased than before. In this respect, several countries have been conducted the studies regarding the damage prediction model of buildings to minimize the damages from natural disaster. As hurricane is the complex disaster including a strong wind and heavy rain, to predict the damage of hurricane, various factors has to be considered. However, mostly research has been conducted to consider only hurricane properties. Therefore, the objective of this study is to develop the regression model for predicting damages of buildings considering geography, socio-economy, construction environment and hurricane information. In the future, this study can be utilized to developing damage prediction model for building from hurricane in South Korea.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.52
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• pp.311-322
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• 1999

Major problems involved in an electrical utility expansion planning within a time horizon are how to efficiently deal with objectives considering multiple factors and uncertainty. But justification factors in study these days have considered only quantitative factors except qualitative factors. Therefore, the purpose of this paper is to develop a new model for economic evaluation of nuclear power plants through the scoring model with the quantitative and qualitative factors under uncertainty. The quantitative factors use a levelized generation cost method considering time value of money. Especially, the environmental, risk, and safety factors in this paper have been also explained for the rational economic justification of the qualitative factors under uncertainty. This paper not only proposes a new approach method using the scoring model in evaluating economy of the nuclear power plant in the long term, but also provides the more efficient decision making criterion for nuclear power plants under uncertainty.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.224-230
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• 2021

YouTube is an OTT service that leads the home economy, which has emerged from the 2020 Corona Pandemic. With the growth of OTT-based individual media, creators are required to establish attractive storytelling strategies that can be preferred by viewers and elected for YouTube recommendation algorithms. In this study, we conducted a study on modeling that proposes a content storyline for creators. As the ability for Creators to create content that viewers prefer, we have presented the data literacy ability to find patterns in complex and massive data. We also studied the importance of compelling storytelling configurations that viewers prefer and can be selected for YouTube recommendation algorithms. This study is of great significance in that it deviated from the viewer-oriented recommendation system method and proposed a story suggestion model for individual creaters. As a result of incorporating this story proposal model into the production of the YouTube channel Tiger Love video, it showed a certain effectiveness. This story suggestion model is a machine learning text-based story suggestion system, excluding the application of photography or video.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.653-661
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• 2007

Overseas construction projects tend to be more complex than domestic projects, being exposed to more external risks, such as politics, economy, society, and culture, as well as more internal risks from the project itself. It is crucial to have an early understanding of the project condition, in order to be well prepared in various phases of the project. This study compares a structural equation model and multiple regression analysis, in their capacity to predict cost performance of international construction projects. The structural equation model shows a more accurate prediction of cost performance than does regression analysis, due to its intrinsic capability of considering various cost factors in a systematic way.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.153-166
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• 2022

The study estimates the Structured VAR and the Dynamic Stochastic General Equilibrium Model for the Vietnamese economy based on the new Keynesian model for small and open economies, with the output gap, inflation, policy interest rate, the Vietnamese exchange rate, and the inflation and interest rate in the United States. The paper aims to clarify the impulse response of the macro variables through their shocks. It offers to model the SVAR and DSGE processes, as well as describe why and how interest rate policy is important in the impulse response of macro variables like the output gap and inflation process. The study supports the central role of monetary policy by giving empirical evidence for the new Keynesian theory, according to which an interest rate shock causes the output gap to widen and inflation to decrease. Finally, the application of the DSGE model is becoming more and more popular in the State Bank of Viet Nam to improve its policy planning, analyzing, and forecasting policy towards sustainable and stable growth.

• The Journal of the Korea Contents Association
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• v.8 no.12
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• pp.246-255
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• 2008

The purpose of this study is to suggest the way of effective management of real estate brokerage business by establishing the Job Model in real estate brokerage business in Korea. The AHP method, designed for professionals in a field, is used to establish the Job Model. The main result and implication of the study are as follows. The study found that real estate brokers recognize the importance of getting knowledge and information about the patterns and changes of the real estate market and economy, for the effective management of real estate brokerage business. The study therefore suggest that it is necessary to provide the brokers with education chance for the knowledge about the real estate market and economy.