• Journal of the Korea Convergence Society
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• v.4 no.2
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• pp.15-20
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• 2013

This study aims to determine factors related for manufacturers to use distributors storehouse and its cost efficiency in Supply Chain. When manufacturers which have relationships with Big distributors determine the way of their logistics, they can use their own warehouse, or the distributors', or outsource its function. In which case the manufacturers face the cost efficiency of using warehouse will be different, therefore, the driven factors will exist internally or externally. The findings of this study are that internal factors(brand value, product portfolio, and technological capabilities), external factors(technological characteristics, demands fluctuations, and munificence), and transaction characteristics(transaction experiences, dependency) would be driven factor between manufacturer and distributors in supply chain. These driven factors effects manufacturers transactions power on their distributors.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.5
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• pp.836-842
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• 2016

When an accident occurs in the nuclear power plant, the faulted information might mislead to the high possibility of aggravating the accident. At the Fukushima accident, the operators misunderstood that there was no core exposure despite in the processing of core damage, because the instrument information of the reactor water level was provided to the operators optimistically other than the actual situation. Thus, this misunderstanding actually caused to much confusions on the rapid countermeasure on the accident, and then resulted in multiplying the accident propagation. It is necessary to be equipped with the function that informs operators the status of instrument integrity in real time. If plant operators verify that the instruments are working properly during accident conditions, they are able to make a decision more safely. In this study, we have performed various tests for the fault detection sensitivity of an data-driven empirical model to review the usability of the model in the accident conditions. The test was performed by using simulation data from the compact nuclear simulator that is numerically simulated to PWR type nuclear power plant. As a result of the test, the proposed model has shown good performance for detecting the specified instrument faults during normal plant conditions. Although the instrument fault detection sensitivity during plant accident conditions is lower than that during normal condition, the data-drive empirical model can be detected an instrument fault during early stage of plant accidents.

• The Journal of Information Systems
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• v.26 no.4
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• pp.227-246
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• 2017

Purpose: As the importance of software has been emphasized recently, the size of the software market is continuously expanding. The development of the software market is being adversely affected by software piracy. In this study, we try to classify countries around the world based on the macro environmental factors, which influence software piracy. We also try to identify the differences in software piracy for each classified type. Design/methodology/approach: The data-driven approach is used in this study. From the BSA, the World Bank, and the OECD, we collect data from 1990 to 2015 for 127 environmental variables of 225 countries. Cronbach's ${\alpha}$ analysis, item-to-total correlation analysis, and exploratory factor analysis derive 15 constructs from the data. We apply two-step approach to cluster analysis. The number of clusters is determined to be 5 by hierarchical cluster analysis at the first step, and the countries are classified by the K-means clustering at the second step. We conduct ANOVA and MANOVA in order to verify the differences of the environmental factors and software piracy among derived clusters. Findings: The five clusters are identified as underdeveloped countries, developing countries, developed countries, world powers, and developing country with large market. There are statistically significant differences in the environmental factors among the clusters. In addition, there are statistically significant differences in software piracy rate, pirated value, and legal software sales among the clusters.

• Korean Institute of Interior Design Journal
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• v.23 no.4
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• pp.140-148
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• 2014

The objective of this study is to address Effective Learning Methodology by subjects to acquire National Certification which is an essential requirement to get employed. For this purpose, analysis was completed after conducting a survey on the class to obtain Interior Architecture Engineer Certification. 23 applicants were selected based on effectiveness of each subject, level of difficulty, degree of understanding, mentoring effect, self-driven learning, and group discussion. Results are as below. Upon the first written test, Interior Design Theory and Chromatics showed a high learning effectiveness in self-driven learning and mentoring. Ergonomics showed a high learning effectiveness in mentoring, self-driven learning and group discussion while Building Materials, Architecture Construction presented a high effectiveness only in mentoring and group discussion. Architecture Environment showed average learning effectiveness in mentoring and group discussion and showed a low effectiveness in self-driven learning. Upon the second practice test, Interior Architecture Construction and Planning/Management of Construction Materials presented an average learning effectiveness in mentoring and group discussion. Process Control and Adding Up(Supply Calculation) showed a low learning effectiveness in self-driven learning and presented an average to below average learning effectiveness in mentoring and group discussion. Lastly, Interior Design Plan, Interior Design Drawings presented average learning effectiveness in mentoring and group discussion however they showed a high effectiveness in self-driven learning.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.5C
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• pp.343-350
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• 2006

The resistance bias factors for driven steel pipe piles are evaluated as a part of study to develop the LRFD(Load and Resistance Factor Design) for foundation structures in Korea. The 43 data sets of static load tests and soil property tests performed in the whole domestic area were collected and analyzed to determine the representative bearing capacities of the piles using various methods. Based on the statistical analysis of the data, the Davisson's criterion is proved to be the most reasonable method for estimation of pile bearing capacity among the methods used. The static bearing capacity formulas and the Meyerhof method using N values are applied to calculate the design bearing capacity of the piles. The resistance bias factors of the driven steel pipe piles are evaluated respectively as 0.98 and 1.46 by comparison of the bearing capacities for both of the static bearing capacity formulas and the Meyerhof method. It is also shown that uncertainty of the static bearing capacity formulas is relatively less than that of the Meyerhof method.

• Journal of Technology Innovation
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• v.14 no.1
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• pp.119-146
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• 2006

This paper attempts to identify variables which affect Korean technology innovation-driven SMEs' performance in comparison with IT and BT industries. Technology development strategy, marketing capability, intellectual capital managerial ability are included to generate variables for the empirical research. The results of this study show that technology development strategy, marketing capability, intellectual capital managerial ability influence on the sales growth of technology-based SME in IT and BT industries. It also discusses some implications of Korean technology innovation-driven SMEs' strategy and management.

• Journal of the Korean Institute of Rural Architecture
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• v.26 no.1
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• pp.41-49
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• 2024

This study focuses on citizen-driven regional agenda and improvement projects, with a specific emphasis on the Yokohama Shimin Machi-bushin Project. The research aims to categorize the scope of citizens' thoughts and the objects for improvement, shedding light on the Analysis Methodologies of citizen-driven proposals for living environment improvement. It also highlights the diverse factors influencing citizens' perceptions of regional issues and the different approaches to addressing them. The paper discusses potential challenges and obstacles in implementing citizen-driven initiatives for community improvement and suggests ways to address them effectively. Overall, the study underscores the significance of citizen participation in community development and the need to understand their perspectives and thought processes in proposing and implementing community improvement initiatives.

• Asia-Pacific Journal of Business
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• v.13 no.1
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• pp.37-52
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• 2022

Purpose - The objective of this study is to investigate what motivates global FDI inflows in the different economic development level and to clarify the FDI motivation type in the level of qualitative economic growth. Design/methodology/approach - Major macroscopic social·economic factors induced FDI inflows were analyzed using fixed-effect panel regression with 30-year panel data of 28 countries from 1985 to 2014. For analysis in the stage of economic growth, two category of developed and developing countries was used. And to analyze FDI motivation type in the level of qualitative economic growth, 4 shares of GDP; consumption·government·investment expenditure and export, was used as explanatory variable. Findings - In developed country, TFP(total factor productivity) and GDP have a great influence on FDI inflows, and consumption and labor compensation have a slight effect. This result indicates that the market seeking-driven, horizontal type investment is shown along with efficiency seeking investment. In developing country, human capital and TFP is shown to have greater impact on FDI inflows and labor compensation, exports, investment and government expenditures also have impacts. Thus it has confirmed that not only efficiency-seeking vertical investment for using low cost well educated laborer, but also government-driven economic growth and export policies could affect the FDI inflows. Research implications or Originality - The FDI investment decision making of multinational companies is decided by their own purpose. But, in the concept of as follows; 1) FDI is a long-term capital flowing for maximization of economic utility with limited global resource, 2) Thus FDI could be affected by macro socio·economic factors of host country. 3) Also such macro factors is different by each economic growth qualitative level. Therefore macro socio·economic factors of each country could be affected by the qualitative level of their own economic growth. To attract FDI inflows, it is desirable to implement differentiated incentive policies in the qualitative level of economic growth. Furthermore in developing countries it is recommended to implement government driven economic growth policies as follows; fostering well educated human resources, improving technology productivity in the relative lower cost labor market compared to developed countries and boosting international export volume.

• STI Policy Review
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• v.3 no.2
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• pp.79-91
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• 2012

With the globalisation of the world's economies and the increasing role of multinational corporations in the generation of knowledge, global research and development (R&D) activities in emerging countries are following a new trend. This paper describes case studies of two large companies and discussion of the motives (demand vs. supply) and tasks (demand-driven vs. supply-driven) of R&D activities outside their home country. This work is based on an analysis of four overseas R&D units of two Korean ICT companies - here, ICT refers to goods and services in the information technology and communication technology fields - in India and China. The research findings are as follows: (1) The overseas R&D activities of Korean ICT enterprises in emerging countries may be driven by a combination of demand and supply factors of host countries; and (2) Korean overseas R&D centres in emerging countries may need to carry out both demand- and supply-driven tasks in view of the overlap between demand and supply factors of the host countries. Based on the results of this research, the following policy implications can be drawn for encouraging more effective overseas R&D activities of Korean enterprises in emerging countries. First, the government needs to expand the support systems so that enterprises can manage local R&D centres more effectively and actively use the variety of local support systems and useful information. Second, the government needs to expand the support systems so that the overseas R&D centres of Korean enterprises revitalise collaborations with locally excellent universities and research institutions.

• Current Photovoltaic Research
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• v.10 no.1
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• pp.6-15
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• 2022

Climate change is among the most important issues facing mankind in modern society. However, global PV energy expansion has been driven mainly by OECD countries. We investigate the determinants of PV energy growth by panel data of selected OECD countries from 1991 to 2018. We investigate four categories of driving factors: socioeconomic, technological, country specific, and policy factors. The test results support that PV capacity growth is significantly driven by technology development and multidimensional environment policy factors. Socioeconomic factors such as CO₂, GDP, and electricity price are statistically significant on the growth of PV energy, too. Whereas, country-specific solar potential factor is the least related. As most of the socioeconomic factors are exogenous, we need to focus more on PV technology development and policy measures.