• Proceedings of the SAREK Conference
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• 2008.06a
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• pp.1007-1012
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• 2008

Demand for the highly efficient and high performance urban energy supply system having been continuously increased according to the rise of quality of life and continuously increased energy cost all over the world. The district heating and cooling system is very effective way for energy saving, cost reduction, and demand side management of energy. There are several district cooling supply technologies such as chilled water direct transportation, installation of absorption type chiller in the user side, and desiccant cooling. This study investigates the advantage and technical problems of each district cooling technology. Also, it is necessary political and financial support system for the extension of district cooling system.

• Journal of Information Technology Applications and Management
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• v.13 no.4
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• pp.155-165
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• 2006

Along with the evolution of wireless internet environment, information services in mobile internet are being explosively increased. However, due to the high expense for the use of those services, it is not easy to collect the devoted customers. In order to overcome the adverse conditions, the service should be supported by a strategic application system which facilitates easier and fast service for customer's information needs than that of traditional on-line internet. In this paper, we investigate the strategy how to provide the information service under the customer satisfaction, and also consider some ways of personalization of information service and information provision in real-time. As a result of the works, we develop a system, MoSA-CRM(Mobile Service Application based on CRM) to support customer-oriented information service. We believe that the MoSA-CRM system can provide some benefits for information providers in mobile e-commerce market such as flexibility in business strategy, systematic customer relationship management, and growth in financial ability.

• Land and Housing Review
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• v.3 no.4
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• pp.333-341
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• 2012

The financial resources for public land banking enacted by Public Land Banking Act (2009) are LH (Korea Land and Housing Corporation) contributions, LH Bond, Land Bank revenues, etc. But, in real, the efficient funding resource is mainly LH bond. In these days, LH has experienced deep financial distress, and difficulties in issuing it's bond. Therefore, Land Banking project also has been inactivated because of poor financial resources. As Land Banking project depending its financial resources mainly on LH Bond does not have financial sustainability, it is necessary to reform the fundamental funding structure. This is the starting point for the topic of this paper. This paper suggests to reform the funding structure, and to introduce Land Bank Bond guaranteed by Government, and also to modify the accounting method of Land Bank to separate the Land Bank accounts with LH accounts. The funding structure reform can be summarized as follows; In early stage of the Land Banking project, sufficient government support by guaranteeing the Land Bank Bond is necessary. Gradually, the portion of LH's contribution can be increased in company with LH's financial distress being solved and administration being normalized. When the project reached on the stage of maturity, cash inflows by selling the reserved land can exceed the cash outflows for reserve new land. To introduce the Land Bank Bond guaranteed by government, the Public Land Banking Act (2009) should be revised. Along with this, to modify the accounting method of Land Bank, the rule for public enterprise accounting system must be partially revised.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.1
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• pp.57-63
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• 2010

Central government moves welfare, education, and public fire service that need a lot of budget to local governments. But, central government don't give a enough finance support to local governments to implement those services. Therefore, local government suffer from the financial pressure. Fire service is supplied by province government in Korea. Public facilities tax is an object tax for fire service in province government. But, since total revenue of public facilities tax is just about 30% of fire service budget, the financial pressure of local governments has been increasing and the fire services could not been improved comparing with the increasing demands for the services. The purpose of this article is to examine a stable tax system for fire service. To do so, this study analyzes the fire public service budget, finds out some problems, and compares with developed countries to solve these problems.

• Journal of the Korean Society of Systems Engineering
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• v.15 no.2
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• pp.79-86
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• 2019

Among the government-sponsored projects supported by Ministry of SMEs and Startups(MSS), the financial support of the Consulting Research Institutes of our university is scheduled to be ended this year. In this regard, this study is to develop a profit model for R&D center of Consulting Research Institute that can cultivate the financial independence of R&D center of Consulting Research Institutes and foster technology convergence consulting manpower to strengthen the competitiveness of SMEs in preparation for the Fourth Industrial Revolution. The profit model were derived from the current status of consulting industry and similar organizations, the current status of consulting graduate R&D centers, case studies of other universities, and focus group interviews. In order to select three high profit models and commercialize them, BMC (Biz Model Canvas) was used and business feasibility was examined. Therefore, three profit model of R&D center of Consulting Research Institute are: First, SCB (SME's Consulting Business: Total Solution Provider for SMEs through Technology Convergence Consulting), Second, SNB (SME's Network Business: Experts connection in Consulting Graduate School for Solving Problems and Problems of SMEs / Industry Consolidation) And third, SM (Sustainable Management: Financial independence through structural improvement of Consulting Research Institute), and the road-map was established. As an implementation plan, the company intends to seek financial independence by developing a profit model for R&D center of Consulting Research Institutes and by establishing business goals and strategies, manpower operation plan, organization, and investment plan for three years.

• International Journal of Computer Science & Network Security
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• v.24 no.9
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• pp.169-185
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• 2024

Due to levitate and rapid growth of E-Commerce, most of the organizations are moving towards cashless transaction Unfortunately, the cashless transactions are not only used by legitimate users but also it is used by illegitimate users and which results in trouncing of billions of dollars each year worldwide. Fraud prevention and Fraud Detection are two methods used by the financial institutions to protect against these frauds. Fraud prevention systems (FPSs) are not sufficient enough to provide fully security to the E-Commerce systems. However, with the combined effect of Fraud Detection Systems (FDS) and FPS might protect the frauds. However, there still exist so many issues and challenges that degrade the performances of FDSs, such as overlapping of data, noisy data, misclassification of data, etc. This paper presents a comprehensive survey on financial fraud detection system using such data mining techniques. Over seventy research papers have been reviewed, mainly within the period 2002-2015, were analyzed in this study. The data mining approaches employed in this research includes Neural Network, Logistic Regression, Bayesian Belief Network, Support Vector Machine (SVM), Self Organizing Map(SOM), K-Nearest Neighbor(K-NN), Random Forest and Genetic Algorithm. The algorithms that have achieved high success rate in detecting credit card fraud are Logistic Regression (99.2%), SVM (99.6%) and Random Forests (99.6%). But, the most suitable approach is SOM because it has achieved perfect accuracy of 100%. But the algorithms implemented for financial statement fraud have shown a large difference in accuracy from CDA at 71.4% to a probabilistic neural network with 98.1%. In this paper, we have identified the research gap and specified the performance achieved by different algorithms based on parameters like, accuracy, sensitivity and specificity. Some of the key issues and challenges associated with the FDS have also been identified.

• Journal of Distribution Science
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• v.12 no.2
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• pp.39-47
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• 2014

Purpose - The ultimate goal of a franchise system comes from its win-win strategy. Agency theory uses goal incongruity to examine complex contracting problems between buyers and suppliers. Goal incongruity within a contractual relationship can be defined as the agent's desire not to cooperate. It is the degree to which the contractual terms do not satisfy the agent's goals. The greater the goal incongruity between the agent and the contract, the more likely it is that the agent will meet the terms of the contract. Thus, goal incongruity between buyers and suppliers has close relationships with both behavioral and financial performance. This study tries to examine these relationships in the franchise context using a model including related variables, such as regulatory foci, financial performance, and opportunism, to explain the reasons that not all franchisees perform their best. In particular, the study examines the effects of goal incongruity on regulatory focus, and the effects of regulatory focus on performance and opportunism. In short, the objective is to determine goal incongruity's effect on regulatory foci, and the effect of regulatory focus on performance and opportunism. Research design, data, and methodology - This study used data collected from the franchisee managers of 104 franchisors in South Korea. The franchisors include more than 10 franchisees, the majority of whom have been in business for more than five years. The study also surveyed 104 franchisees, matched with their franchisors for the sake of a dyadic approach. The study used regression analysis to test the hypotheses. Results - H1 and H2 predicted that goal incongruity would decrease promotion focus and increase prevention focus. Supporting H1, the result indicates goal incongruity had a positive effect on promotion focus. However, H2 was not supported. Goal incongruity had no significant effect on prevention focus (β = -.375, t = -4.331 and β = -.145, t = -1.950, respectively). H3 and H4 predicted that promotion focus would increase financial performance and decrease opportunism. Supporting these hypotheses, the results indicate that promotion focus had a positive effect on financial performance and a negative effect on opportunism (β = .771, t = 7.899 and β = -.765, t = -6.778, respectively). H5 and H6 predicted that prevention focus would decrease financial performance and increase opportunism. However, the results do not support these hypotheses. The results indicate that prevention focus had no effects on opportunism or financial performance (β = -.130, t = -1.070 and β = .090, t = .641, respectively). Overall, the evidence generally supported the hypotheses. Conclusion - Goal incongruity between a franchisor and a franchisee increases the franchisee's financial performance and opportunism, and the relationship is mediated by promotion focus. Interestingly, however, prevention focus has no mediating effect between goal incongruity and performance. Even though no significant relation exists between goal incongruity and prevention focus, the results have two implications. First, decreasing goal incongruity can improve financial performance and suppress franchisee opportunism. Second, the relationship between goal incongruity and performance affects promotion-focused franchisees.

• Information Systems Review
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• v.15 no.2
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• pp.59-73
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• 2013

Healthcare costs are continuously increasing due to longer life expectancy and providing global healthcare services through medical tourism is new service growth engine for Korea. Several countries have well established programs and infrastructure dedicated to medical tourism. South Korea is attempting to become a major player in this domain by undertaking broad initiatives. The success of medical tourism is greatly impacted by easy access to two types of information, namely, medical and travel information. The National Health Insurance System in Korea collects huge amount of clinical and financial information from all hospitals. However, this information does not get used effectively in health and travel information systems to support medical tourism. This paper provide clear process map of medical tourism to understand how the patient and information process both medical and tourism fields also describe the need of customer and service provider. In this paper, we develop a medical tourism service system that will promote information exchange and service delivery.

• Journal of Technology Innovation
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• v.31 no.3
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• pp.201-230
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• 2023

The Innovation Procurement Policy was introduced as part of the strategic public procurement policy to improve firms' innovation capabilities and enhance the public sector's ability to solve social problems by designating and purchasing so-called 'innovative products.' The pilot procurement project for innovative products was first introduced in 2019, and the policy system for designating and discovering innovative products by government departments, as well as the priority purchase system, was established in 2020. Hence, this study conducted a quantitative analysis focusing on the effectiveness of the innovation procurement system in supporting firms after it was fully implemented. For this purpose, corporate financial and employment data from 2017 to 2021 were used, and propensity score matching(PSM) and difference-in-difference(DID) methods were utilized as analytical tools. The study found that the innovation procurement system contributed to corporate growth and employment and created additional public and private sales channels. Moreover, it is necessary to enhance the innovation procurement system, such as matching innovative product-producing companies with existing SME support policies, for companies to become self-sustaining after the innovative product designation ends.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.241-254
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• 2011

Financial time-series forecasting is one of the most important issues because it is essential for the risk management of financial institutions. Therefore, researchers have tried to forecast financial time-series using various data mining techniques such as regression, artificial neural networks, decision trees, k-nearest neighbor etc. Recently, support vector machines (SVMs) are popularly applied to this research area because they have advantages that they don't require huge training data and have low possibility of overfitting. However, a user must determine several design factors by heuristics in order to use SVM. For example, the selection of appropriate kernel function and its parameters and proper feature subset selection are major design factors of SVM. Other than these factors, the proper selection of instance subset may also improve the forecasting performance of SVM by eliminating irrelevant and distorting training instances. Nonetheless, there have been few studies that have applied instance selection to SVM, especially in the domain of stock market prediction. Instance selection tries to choose proper instance subsets from original training data. It may be considered as a method of knowledge refinement and it maintains the instance-base. This study proposes the novel instance selection algorithm for SVMs. The proposed technique in this study uses genetic algorithm (GA) to optimize instance selection process with parameter optimization simultaneously. We call the model as ISVM (SVM with Instance selection) in this study. Experiments on stock market data are implemented using ISVM. In this study, the GA searches for optimal or near-optimal values of kernel parameters and relevant instances for SVMs. This study needs two sets of parameters in chromosomes in GA setting : The codes for kernel parameters and for instance selection. For the controlling parameters of the GA search, the population size is set at 50 organisms and the value of the crossover rate is set at 0.7 while the mutation rate is 0.1. As the stopping condition, 50 generations are permitted. The application data used in this study consists of technical indicators and the direction of change in the daily Korea stock price index (KOSPI). The total number of samples is 2218 trading days. We separate the whole data into three subsets as training, test, hold-out data set. The number of data in each subset is 1056, 581, 581 respectively. This study compares ISVM to several comparative models including logistic regression (logit), backpropagation neural networks (ANN), nearest neighbor (1-NN), conventional SVM (SVM) and SVM with the optimized parameters (PSVM). In especial, PSVM uses optimized kernel parameters by the genetic algorithm. The experimental results show that ISVM outperforms 1-NN by 15.32%, ANN by 6.89%, Logit and SVM by 5.34%, and PSVM by 4.82% for the holdout data. For ISVM, only 556 data from 1056 original training data are used to produce the result. In addition, the two-sample test for proportions is used to examine whether ISVM significantly outperforms other comparative models. The results indicate that ISVM outperforms ANN and 1-NN at the 1% statistical significance level. In addition, ISVM performs better than Logit, SVM and PSVM at the 5% statistical significance level.