• Journal of Arbitration Studies
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• v.30 no.2
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• pp.165-184
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• 2020

In this study, the factors affecting opportunism in the relationship between suppliers and key accounts were analyzed from the viewpoint of transaction cost theory, market power theory, and relationship marketing theory. As a result of the hypothesis test, Hypothesis 1 stating that demand volatility will have a positive effect on opportunism and Hypothesis 2 that transaction-specific investment will have a positive effect on opportunism were also supported. In addition, Hypothesis 3 stating that channel power will have a positive effect on opportunism was also supported. Lastly, Hypothesis 4 stating that relational commitment will have a negative effect on opportunism was not supported, along with Hypothesis 5 stating that transaction satisfaction will have a negative effect on opportunism. The theoretical and practical implications of this study are as follows. This study has identified the antecedents of opportunism by comprehensively applying the transaction cost theory, market power theory, and relationship marketing theory. In addition, this study can identify what a company should manage specifically to lower opportunism by identifying the antecedents of opportunism. The limitations of this study and the directions for future studies are as follows. First, not all of the antecedents of opportunism of key accounts have been extensively investigated from the viewpoint of the transaction cost theory, market power theory, and relationship marketing theory. In the future, it is necessary to identify additional factors. Second, the study was conducted only in the supplier's viewpoint. In future studies, it is expected that more accurate research results can be obtained by simultaneously examining not only the supplier's point of view but also the buyer's point of view.

• New & Renewable Energy
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• v.17 no.2
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• pp.1-8
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• 2021

We estimated the price range of electricity transactions under the prosumer system, considering the spread of renewable energy and the prospect of introducing a surplus power trading system between power consumers in Korea. The range (min/max) of power transaction prices was estimated by prosumers and consumers who could purchase electricity from utilities if needed. It is assumed that utilities purchased electricity from prosumers and consumers under a Time-of-Use (TOU) rate, trading at a monthly price. The range of available transaction prices according to the amount of power purchased from utilities and the amount of transaction power was also estimated. The price range that can be traded is expected to vary depending on variables such as the TOU rate, purchased and surplus power, levelized cost of electricity, etc.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.6
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• pp.590-596
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• 2020

In the island areas where system connection with the commercial power grid is difficult, it is quite important to find a method to efficiently manage energy produced with independent microgrids. In this paper, a prosumer management system for P2P power transaction was realized through the testing the power meter and the response rate of the collected data for the power produced in the small-scale microgrids in which hybrid models of solar power and wind power were implemented. The power network of the microgrid prosumer was composed of mesh structure and the P2P power transaction was tested through the power meter and DC power transmitter in the off-grid sites which were independently constructed in three places. The measurement values of the power meter showed significant results of voltage (average): 380V + 0.9V, current (average): + 0.01A, power: 1000W (-1W) with an error range within ±1%. Stabilization of the server was also confirmed with the response rate of 0.32 sec. for the main screen, 2.61 sec. for the cumulative power generation, and 0.11 sec for the power transaction through the transmission of 50 data in real time. Therefore, the proposed system was validated as a P2P power transaction system that can be used as an independent network without transmitted by Korea Electric Power Corporation (KEPCO).

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.18
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• pp.7-25
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• 2002

Owing to a tremendous progress of information technology we have faced a great change of a society. This change has happened to almost all of a society. As a result intangible goods are also included as a major concern in international trade. We may say U.S. is one of the countries transaction of software is the most flourishing. I have tried to classified the cases of software transaction in U.S. into five groups. As a result I have known the UCC had been applied to the almost transaction of standard software. However UCC had not been applied to custom software and data processing. In these days UCITA which is very similar to a previous proposal UCC 2B has been presented. This is a contract law that would apply to computer software, multimedia products, and databases. It has been designed to create a uniform commercial contract law for those products. Now therefore we should make observation of a tendency about transaction of software in U.S. The reason is that we pay attention to the symbol and dormant power of U.S. in international trade.

• Journal of Electrical Engineering and Technology
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• v.5 no.4
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• pp.511-521
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• 2010

This paper presents a new algorithm to determine accurate bus-wise transmission loss allocation utilizing path-integrals dictated by the transaction strategy. For any transaction strategy, the total sum of the allocated transmission losses of all buses is equal to the actual loss given by the AC power-flow calculation considering the distributed slack. In this paper, the bus-wise allocation of the transmission loss is calculated by integrating the differential loss along a path determined by the transaction strategy. The proposed algorithm is also compared with Galiana's method, which is the well-known transmission loss allocation algorithm based on integration. The performance of the proposed algorithm is evaluated by case studies carried out on the WSCC 9-bus, IEEE 14-bus, New England 39-bus, and IEEE 118-bus systems. The simulation results show that the proposed algorithm is fast and accurate with a large step size.

• Journal of Arbitration Studies
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• v.30 no.4
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• pp.139-161
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• 2020

In this study, the factors affecting opportunism that causes conflict in the franchise system between franchisor and franchisee were analyzed based on the transaction cost theory and power-dependency theory. Hypothesis 1 states that franchisor support will negatively affect opportunism. Hypothesis 2 expresses that franchisee transaction-specific investment on the relationship with the franchisor will positively affect opportunism. Hypothesis 3 asserts that franchisee dependency on the franchisor will positively affect opportunism. All of these were supported. However, Hypothesis 4, maintaining that franchisee competitive intensity will positively affect opportunism, was not supported. The theoretical and practical implications of this study are as follows. This study has identified the antecedents of franchisor opportunism that causes conflict in the franchise system by comprehensively applying the transaction cost theory and power-dependency theory. This study can also identify what a company should manage specifically to lower opportunism by identifying the antecedents of franchisor opportunism in the franchise system. The limitations of this study and the directions for future studies are as follows. First, not all of the antecedents of franchisor opportunism in the franchise system have been extensively investigated from the transaction cost theory's and power-dependency theory's viewpoint. In the future, it is necessary to identify additional factors. Second, the study was conducted only from the franchisee's perspective. In future studies, more accurate research results can be obtained by simultaneously examining the franchisee's point of view and the franchisor's point of view.

• The Transactions of the Korea Information Processing Society
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• v.6 no.11
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• pp.2845-2862
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• 1999

As the technical advances in portable computers and wireless communication technologies, mobile computing environment has been rapidly expanded. The mobile users on mobile host can access information via wireless communication from the distributed heterogeneous multidatabase system in which pre-existing independent local information systems are integrated into one logical system to support mobile applications. Hence, mobile transaction model should include not only the features for heterogeneous multidatabase systems but also the ones for mobile computing environment. In this paper, we proposed a mobile flex transaction model which extends the flexible transaction model that previously proposed for heterogeneous multidatabase systems is extended to support the requirements of mobile heterogeneous multidatabase systems. We also presented the execution control mechanism of the mobile flex transaction model. The proposed mobile flex transaction model allows the definition of location-dependent subtransactions, the effective support of hand-over, and the flexibility of transaction executions. Hence, the proposed mobile flex transaction model can be suit to mobile heterogeneous multidatabase systems that have low power capability, low bandwidth, and high communication failure possibility.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.6
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• pp.163-171
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• 2021

In this paper, the energy transaction system was optimized by applying a resource allocation algorithm and deep reinforcement learning in the distributed power system. The power demand and supply environment were predicted by deep reinforcement learning. We propose a system that pursues common interests in power trading and increases the efficiency of long-term power transactions in the paradigm shift from conventional centralized to distributed power systems in the power trading system. For a realistic energy simulation model and environment, we construct the energy market by learning weather and monthly patterns adding Gaussian noise. In simulation results, we confirm that the proposed power trading systems are cooperative with each other, seek common interests, and increase profits in the prolonged energy transaction.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.2
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• pp.257-265
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• 2011

As the competitive market system has been introduced to the electrical power trade, the priority concern would be that the price of electrical power should be reasonable. It is because, when this rule is solid, we can avoid the distortion of competition and assure the greater efficiency in management. LMP(Locational Marginal Price) means marginal price at each bus. This components consist of energy, loss and congestion cost. At this point, the LMP result that is calculated by traditional model is changeable by the location of the slack and can not be used in bilateral Transaction. This paper proposed algorithm is proved its rationality and credibility by comparing the result of the simulation of virtual 6_bus system that is calculated by traditional method, and showed that the LMP components are changed according to the Transaction Strategy. Furthermore, It shows the effect of additional congestion cost on the transmission line that has bottle neck frequently by simulation.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.49 no.6
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• pp.266-271
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• 2000

The electric power industries are moving from the conventional monopolistic or vertically integrated environments to deregulated and competitive environments, where each participant is concerned with profit maximization rather than system-wide costs minimization. Consequently, the conventional least-cost approaches for the generation resource schedule can not exactly handle real-world situations. This paper presents a game theory application for analyzing power transactions and market design in a deregulated energy marketplace, where the market participants determine the net profits through the optimal bidding strategies. The demand elasticity of the energy price is considered for the realistic modeling of the deregulated marketplace.