• Journal of the Korean Institute of Educational Facilities
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• v.15 no.6
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• pp.22-29
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• 2008

For university facility and space management to be public, and to increase the administrational efficiency, this research suggests an efficient as well as an objective evaluation system/index to allow national and university finances to contribute towards higher education. According to the result of this study, evaluation system for university facility can be widely divided into two categories; quality and space management. First, quality management is subdivided into three groups in order for quantitative management, school site and building area, secured building, and financial affairs and expense management. In order for an effective and appropriate space management, the second category of space management proposes seven subdivisions. Based on these subdivisions, quality management on university facility contains 10 evaluation items with marking system which allows perfect score of 50 points. The space management category contains 19 evaluation items and the marking system allows perfect score of 100 points. Therefore, this study developed total of 29 evaluation items for university facility management with marking system that allows perfect score of 150 points. The suggested evaluation system and items will be used as a valuable foundation for efficient and objective university facility management.

• East Asian Economic Review
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• v.22 no.1
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• pp.55-73
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• 2018

The substantial slowdown of economic growth since the global financial crisis of 2008-2009 is rekindling debate on whether developing Asia should use fiscal expansion to boost aggregate demand. A key factor in the debate is the effectiveness of countercyclical fiscal policy in the region. The global crisis, as well as the fiscal stimulus packages implemented by developing Asian countries at that time, give some clues to this important issue. The region weathered the global crisis well and experienced a robust V-shaped recovery. According to conventional wisdom, the fiscal stimulus packages put in place by Asian governments played a key role in the region's recovery. The central objective of this paper is to empirically test this wisdom by using cross-country panel data. Our main finding is that the stimulus has had a limited but positive impact on developing Asia's output during the global crisis. This lends some support to the notion that countercyclical fiscal policy can help the region cope with severe external shocks. The broader, more fundamental implication for regional policymakers is that the region's long-standing commitment to fiscal discipline can yield significant benefits beyond macroeconomic stability. An important consequence of this commitment - relatively healthy fiscal balance sheets - enabled the region's governments to quickly and decisively embark upon fiscal stimulus programs.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.283-291
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• 2005

The development of mobile applications is fast in recent years. However, nearly all applications are for messaging, financial, locating services based on simple interactions with mobile users because of the limited screen size, narrow network bandwidth, and low computing power. Processing an algorithm for supporting a group decision process on mobile devices becomes impossible. In this paper, we introduce the mobile-oriented simple interactive procedure for support a group decision making process. The interactive procedure is developed for multiple objective linear programming problems to help the group select a compromising solution in the mobile Internet environment. Our procedure lessens the burden of group decision makers, which is one of necessary conditions of the mobile environment. Only the partial weak order preferences of variables and objectives from group decision makers are enough for searching the best compromising solution. The methodology is designed to avoid any assumption about the shape or existence of the decision makers's utility function. For the purpose of the experimental study of the procedure, we developed a group decision support system in the mobile Internet environment, MOBIGSS　and applied to an allocation problem of investor assets.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.163-163
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• 2019

The rapidly growing global population increases the awareness of water, energy, and food security worldwide. The concept of Water, Energy, and Food nexus (hereafter, WEF nexus) has been widely introduced as a new resources management concept that integrate the water, energy, and food in a single management framework. Recently, WEF nexus analyzes not only the interconnections among the resources, but also considers the external factors (such as environment, climate change, policy, finance, etc) to enhance the resources sustainability by proper understanding of their relations. A nation-level resources management is quite complex task since multiple regions (e.g., watersheds, cities, and counties) with different characteristics are spatially interconnected and transfer the resources each other. This study proposes a multiple region WEF nexus simulation and transfer model. The model is equipped with three simulation modules, such as local nexus simulation module, regional resources transfer module, and optimal investment planning module. The model intends to determine an optimal capital investment plan (CIP), such as build-up of power plants, water/waste water treatment plants, farmland development and to determine W-E-F import/export decisions among areas. The objective is to maximize overall resources sustainability while minimize financial cost. For demonstration, the proposed model is applied to a semi-hypothetical study area with three different characterized cities. It is expected the model can be used as a decision support tool for a long-term resources management planning process.

• Journal of KIBIM
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• v.9 no.3
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• pp.8-18
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• 2019

Precast concrete manufacturing has proved economies of scale through the repetitive production by means of standardization, automation, and prefabrication. Advanced digital design and fabrication technologies can empower its benefits by enabling mass customization in the building design and construction. This study analyzed five case studies in terms of 1) design intent and background, 2) module development and facade construction, 3) integrated process among project stakeholder. This article has attempted to establish the following three points in conclusion: 1) Form generating digital design tools such as Rhino, CATIA, Generative Component, and Digital Project were implemented to produce parametric surface pattern and rationalization to maximize existing precast manufacturing benefits. Also, BIM program has been used to promote coordination and communication among engineering consultants and contractors, 2) In addition to traditional precast concrete materials, GFRC, RFP, brick cladding precast and 3D printed mould have been introduced to reduce the weight and cost and to comply the code from the zoning, seismic, and fireproof requirements, 3) Design-assist contract, design-assist financial support, and co-location measures have been introduced to facilitate collaboration between architect, fabricator, and contractor from the beginning of the project.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.49
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• pp.43-57
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• 1999

The recent trend is that risk management has more and more its importance. Neverthless, Korea's risk management is not developed. Even most banks does gap, duration in ALM for risk management, development and operation of VaR stressed at BIS have elementary level. In the case of Fallon and Pritsker, Marshall, gamma model is superior to delta model and Monte Carlo Simulation is improved at its result, as sample number is increased. And, nonparametric model is superior to parametric model. In the case of Korea's stock portfolio, VaR of Monte Carlo Simulation and Full Variance Covariance Model is less than that of Diagonal Model. The reason is that VaR of Full Variance Covariance Model is more precise than that of Diagonal Model. By the way, in the case of interest rate, result of monte carlo simulation is less than that of delta-gamma analysis on 95% confidence level. But, result of 99% is reversed. Therefore, result of which method is not dominated. It means two fact at forecast on volatility of stock and interest rate portfolio. First, in Delta-gamma method and Monte Carlo Simulation, assumption of distribution affects Value at Risk. Second, Value at Risk depends on test method. And, if option price is included, test results will have difference between the two. Therefore, If interest rate futures and option market is open, Korea's findings is supposed to like results of other advanced countries. And, every banks try to develop its internal model.

• Journal of Korean Society for Quality Management
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• v.49 no.4
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• pp.641-654
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• 2021

Purpose: One distinctive trend in the recent industrial and technological development has been the change in the structures of industries brought by information technology, boosting the productivity of different sectors. This relation has clearly opened a path for the fourth industrial revolution to reform numerous industrial sectors, including i-fashion sectors. Therefore, in this research, we would like to present the direction of the direction policy for the fusion of the manufacturing industry and the service industry of i-fashion. Methods: In this study, an empirical time series data analysis of machinery investment efficiency and capital investment efficiency of 43 industrial sectors in manufacturing and service was conducted to show their potential and ongoing convergence toward i-fashion. Results: Most impressive as a finding in this research was that those sectors previously underinvested due to a combination of technological and financial reasons found an exit for growth. In textile and apparel sectors, that could be the i-fashion. Conclusion: One strong implication of this study is that sectoral level convergence based on technology and industry is occurring, and i-fashion is one of the industrial convergence case to be observed.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.203-210
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• 2021

This paper explores the direct relationships between perceived support, attitude toward entrepreneurship, institutional environment, entrepreneurship education, risk-taking, and entrepreneurial intention. A survey of 1,000 students in Vietnam was conducted through face-to-face structured interviews. The confirmatory factor analysis and technique of structural equation modeling were used to explore relationships among latent constructs. The results show that entrepreneurship education, attitude, and social norms positively affect entrepreneurial intention. The findings of this study suggest that attitude has the strongest effect on entrepreneurial intention. More specifically, when students have an attitude toward entrepreneurship, they are more likely to start their own businesses. Research also showed that students are more likely to start a business when they find support from those around them and the knowledge and skills from the university. In contrast, the remaining factors, including perceived support, institutional environment, and risk-taking, do not affect entrepreneurial intention. The reasons for this result are that students cannot accurately assess risks due to lack of entrepreneurial knowledge, and start-up policies in Vietnam are currently focusing on financial support, but not on many other aspects, so that it may lead to start-up policies not being appreciated. The results provide implications for policymakers and educators for entrepreneurship development.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.297-302
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• 2021

The development of various phishing websites enables hackers to access confidential personal or financial data, thus, decreasing the trust in e-business. This paper compared the detection techniques utilizing URL-based features. To analyze and compare the performance of supervised machine learning classifiers, the machine learning classifiers were trained by using more than 11,005 phishing and legitimate URLs. 30 features were extracted from the URLs to detect a phishing or legitimate URL. Logistic Regression, Random Forest, and CatBoost classifiers were then analyzed and their performances were evaluated. The results yielded that CatBoost was much better classifier than Random Forest and Logistic Regression with up to 96% of detection accuracy.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.1-9
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• 2021

The purpose of this study is to examine the effects of economic uncertainty on MNC investment in Malaysia from 2009 to 2019 by employing an ARDL method. The results revealed that Economic Policy Uncertainty (EPU) has a positive association with the capital expenditures of Nestle, British American Tobacco, and Public Bank in the long run. In a similar period, the Gross Domestic Product (GDP) is positively significant with the capital expenditures of British America Tobacco and Heineken. However, inflation is negatively related to the capital expenditures of British America Tobacco and Heineken. Additionally, the exchange rate has a significant and negative relationship with the capital expenditures of Nestle and Petronas, while the ECT value is negative and significant in the short run, hence confirming that co-integration exists. In view of this, it is imperative that the government plays a prerogative role to support MNC operations, as MNCs foster the developing countries' economic development through facilitating full employment. This study sets to enhance the personal knowledge of those with a strong interest in the Malaysian financial market. As long as MNCs believe that the Malaysian market has the potential to grow, they will continue to invest for the benefit of the country.