• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.157-164
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• 2023

This paper suggests O(n²) polynomial time heuristic algorithm for corporate tax structure optimization problem that has been classified as NP-complete problem. The proposed algorithm constructs tax tree levels that the target holding company is located at root node of Level 1, and the tax code categories(T_e) 1,4,3,2 are located in each level 2,3,4,5 sequentially. To find the maximum tax-relief path from source(S) to target(T), firstly we connect the minimum witholding tax rate _minr_w(u, v) arc of node u point of view for transfer the profit from u to v node. As a result we construct the spanning tree from all of the source nodes to a target node, and find the initial feasible solution. Nextly, we find the alternate path with minimum foreign tax rate _minr_fi(u, v) of v point of view. Finally we choose the minimum tax-relief path from of this two paths. The proposed heuristic algorithm performs better optimal results than linear programming and Tabu search method that is a kind of metaheuristic method.

• Electronics and Telecommunications Trends
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• v.35 no.1
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• pp.1-11
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• 2020

The Korean domestic media environment is seeing a rapid and dynamic change. Consumer media behavior is shifting from TV to smartphones, and from traditional media, such as terrestrial TV and cable, to intelligent Internet-based media, such as OTT channels and social media. This affects the profit structure of each media company and the competition among them, furthermore, the competitiveness of media services. In this regard, we propose a domestic UHD activation plan after evaluating the competitiveness of each media based on the analysis of the changes in the domestic media environment and the status of UHD services.

• International Journal of Control, Automation, and Systems
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• v.6 no.5
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• pp.627-638
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• 2008

With the shift of the electric power industry from a regulated monopoly structure to a competitive market environment, the focus of the transmission expansion planning has been moving from reliability-driven transmission expansion to market-based transmission expansion. In market-based transmission expansion, however, a growing demand for electricity, an increasing number of transmission bottlenecks, and the falling levels of transmission investment have created the need for an incentive to motivate investors. The expectation of profit serves as a motivational factor for market participants to invest in transmission expansion in a competitive market. To promote investment in transmission expansion, there is an increasing need for a systematic method to examine transmission expansion for investment incentives from multiple perspectives. In this paper, the transmission expansion problem in a competitive market environment is formulated from ISO and investors' perspectives. The proposed method uses parametric analysis to analyze benefits for investors to identify the most profitable location and amount for transmission addition. Numerical results are presented to demonstrate the effectiveness of the proposed method.

• Journal of the Korean Operations Research and Management Science Society
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• v.42 no.3
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• pp.13-24
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• 2017

This paper aims to implement "structural changes detection procedure" in pairs trading algorithm and to show that the proposed approach outperforms the extant pair trading algorithm. Structural changes in pairs trading are defined in terms of changes in cointegrating factors and broken cointegration relationship. These changes are designed to test extant structural changes and unit root test methodologies. The simulation finds that expanding the changes in structure, increasing the mean reverting process of spread, and extending the consecutive days of broken cointegration will increase the performances of the proposed algorithm. Empirical study results are also consistent those of the simulation studies. The proposed algorithm outperforms the extant algorithm relative to risk and return given that the cumulative profit/loss has a significant upward-slope with minimal variance.

• The Journal of Information Technology and Database
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• v.6 no.2
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• pp.115-130
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• 1999

The price structure of housing market varies depending upon market price policy rather than low or high price policy because of IMF. The object of this study is to develop an analysis system for analyzing housing market and its demand. The analysis system consists of four major categories: macro index analysis, market decision analysis, housing market analysis, and consumer analysis. We model each category by using a variety of techniques such as generalized linear model, categorical analysis, bubble analysis, drill-down analysis, price sensitivity meter analysis, optimum price index analysis, profit index measurement analysis, correspondence analysis, conjoint analysis, and multidimensional scaling analysis. Seoul apartment data is analyzed to demonstrate the practical usefulness of the system.

• International Journal of Quality Innovation
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• v.9 no.3
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• pp.123-144
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• 2008

This paper describes a comprehensive approach to examine how technological innovation contributes to the renewal of a firm's competences through its dynamic and reciprocal relationship with R&D and product commercialization. Three theories of technology and innovation (the R&D and technological knowledge concept, product-process concept, technological interdependence concept) are used to relate technology and innovation to strategic management. Based on these theories, this paper attempts to identify the dynamic relationship between product innovation and process innovation using system dynamics by investigating that aspect of the dynamic changes in the closed feedback circulation structure in which R&D investments drive the accumulation of technological knowledge. Further, such knowledge accumulation actualizes product innovation and process innovation, subsequently resulting in an increase in productivity, customer satisfaction, profit generation, and.

• The Journal of Information Systems
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• v.21 no.3
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• pp.99-116
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• 2012

As a way to allocate lots of orders to many participants for vehicle allocation problem, this study has used an agent negotiation based reverse auction model. This agent negotiation provides coordination functions allowing all participants to make a profit, and accomplishing Pareto optimum solution from the viewpoint of a whole trucking cargo transportation network. In order to build a strategic cooperation relationship based on information sharing, this agent negotiation provides a coordination mechanism in which all the participants including consignors, brokerage firms, and car owners are able to attain their own profits, and also that ensure a competitive market. This study has tried to prove that the result of an agent-based negotiation is the Pareto optimal solution under the present market environment. We established a mathematical formulation for a comparison with the Integer Programming model, and analysing e-Marketplace, structure of shipping expenses and brokerage system in the trucking cargo transportation industry.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.25 no.4
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• pp.178-186
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• 2017

Air travel has become an essential part of the global society and its sustainable development is expected. Airlines profit structure and network operation will be influenced by internalization of external costs like emission charge. This additional cost of the airlines will be directly pose air ticket fare increase and demand of air passenger will be decreased. EU-ETS is a part of environmental binding to airlines fly to EU territory airports. This study analyzes the impact of emission charges by application of EU-ETS on airlines network change. For long-term forecast, a reliable estimation of the future price of carbon dioxide (CO2) will be used.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.1
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• pp.20-24
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• 2008

A bid-based pool(BBP) model is representative of energy market structure in a number of restructured electricity markets. Supply function equilibrium(SFE) models of interaction better match what is explicitly required in the bid formats of typical BBP markets. Many of the results in the SFE literature involve restrictive parametrization of the bid cost functions. In the SFE models, two parameters, intercept and slope, are available for strategic bidding. This paper addresses the realistic competition format that players can choose both parameters arbitrarily. In a fixed demand function, equilibrium conditions for generation company's profit maximization have a degree of freedom, which induces multi-equilibrium. So it is hard to choose a convergent equilibrium. However, consideration of stochastic demand function makes the equilibrium conditions independent each other based on the amount of variance of stochastic demand function. This variance provides the bidding players with incentives to change the slope parameter from an equilibrium for a fixed demand function until the slope parameter equilibrium.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.197-217
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• 2008

본 논문에서는 현재 국내의 디지털 음악 콘텐츠 산업에서 이슈가 되고 있는 정액제와 수익배분 비율 문제를 중심으로 수리적 모형을 사용하여 분석하였다. 특히 국내의 현황을 반영하여 음원권리자와 이동통신사의 문제에 더욱 초점을 맞추었다. 본 논문의 연구결과는 다음과 같다. 첫째, 이동통신사와 음원권리자 사이에서는 정액제를 선택하든 종량제를 선택하든 중요하지 않을 수 있다는 것이다. 중요한 것은 음원권리자가 수익배분비율을 그리고 이동통신사가 음원판매소매가격을 자율적으로 결정할 수 있어야 한다는 것이고 두 게임참여자가 서로 이익을 얻을 수 있는 수익배분방법과 비율이 존재한다는 점이다. 둘째, 정액제는 오히려 소비자와 이동통신사간의 관계에 영향을 미치게 되는데 이동통신사에게는 유리하고 소비자에게는 불리하게 된다는 것이다. 특히, 이동통신사와 음원권리자가 수직적으로 통합되어 경쟁하는 시장구조하에서는 소비자에게 불리한 경향이 더욱 심화되므로 정액제 보다는 종량제 가격의 하락을 통해서 온라인 음악 시장의 성장을 유도하는 것이 소비자에게 유리하게 된다. 이와 같은 온라인 음악시장의 성장은 중장기적으로 사업자들에게도 도움이 될 것이다.