• The Journal of Fisheries Business Administration
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• v.25 no.2
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• pp.89-102
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• 1994

This paper is to survey the major results of the game-theoretic models and recent research directions of the literature on auctions and competitive biddings. This paper classifies the auctions and competitive biddings into the following four major types:(i) English auction, (ii) Dutch auction, (iii) the first-price sealed-bid auction, (iv) the second-price sealed-bid auction. In order to survey the major ideas related to auctions and competitive biddings, we use two representative theoretical models developed under the game-theoretic framework : (i) the independent private value model are summarized as follows ; (1) The Dutch auction and the first-price auction are strategically equivalent, and so are the English auction and the second-price auction. (2) At the symmetric equilibria, the expected selling price is the same for all four types of auction. Meanwhile, the major results of the general model are as follows ; (1) When bidders are uncertain about their value extimate, the English and second-price auctions are not equivalent, but the dutch and the first-price auctions are still strategically equivalent. (2) The English auction generates the higher expected prices than the second-price auction. Also, when bidders are risk-neutral, the second-price auction generated higher average prices than the Dutch and the first-price auctions.

• Proceedings of the KIEE Conference
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• 2002.07a
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• pp.389-391
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• 2002

This paper presents the System Marginal Price(SMp) forecasting implementation using backpropagation Neural Networks in Competitive Electricity Market. SMP is very important term to seek the maximum profit to bidding participants. Demand and SMP that necessary data for training Neural Networks, supplied from Korea Power Exchange(KPX). Statistic analysis about predicted SMP presents a part of consideration in end of this paper.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.670-672
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• 2003

The market participants make plans of bidding and transaction strategies to maximize their own profits in competitive electricity market. Also, It is concerned with transmission congestion in power market. Two methods are generally used for congestion management;nodal pricing and uplift. The participants will have different strategies for their profits in the two methods. This paper analyzes their equilibrium strategies by using the supply function model and congestion methods.

• Proceedings of the KIEE Conference
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• 2000.11a
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• pp.3-5
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• 2000

It has been the paradigm of game theory that more than two utilities compete and determine the price and amount of dispatch. In order for this theory to be available on real power system, it is necessary to consider the transmission costs as well as the generation costs. In addition Independent System Operator(ISO) should be able to mitigate the congestion, recover the transmission costs and provide information for long-term capacity investment by devising reasonable pricing schemes for the transmission services. Generators also have to take the transmission costs into account when building the bidding strategies. This paper proposes an approach to analyzing the profit maximizing game considering the transmission cost in a competitive electricity market.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.51 no.7
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• pp.311-316
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• 2002

It has been a basic model for the present electric power industry that more than two generators compete, and thereby the market clearing price and the generation schedules are determined through the bid process. In order for this paradigm to be applicable to real electric power systems and markets, it is necessary to reflect many physical and economic constraints related to frequency and transmission in the dispatching schedule. The paper presents an approach to deriving a Nash bargaining solution in a competitive electricity market where multiple generators are playing with the system operator who mitigates the transmission congestion to minimize the total transaction cost. In this study, we take the effect of the line flows and the role of system operator into the Game. Finally, a case study has been demonstrated to verify the proposed cooperative game.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.1199-1202
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• 2005

Knowledge has been considered one of the important elements that determine our future. Competitive power of an enterprise has also been transformed from labor, capital, and technology-oriented to knowledge-oriented. Current construction environment is experiencing overall decrease of number of construction contracts due to opening of domestic construction market and economic slump, problems on methods of receiving orders/bidding, and change of costumers' attitude, which intensify competition, therefore many companies consider adopting knowledge management to secure their competitive power. However, there are difficulties in adopting knowledge management and increasing the use by establishing management plan, Performance Measurement, and knowledge maintenance system in reality. Therefore, this study is to provide assistance to successful realization of knowledge management by suggesting development plan of knowledge management that enables knowledge management more efficient with certain goals.

• Korean Journal of Construction Engineering and Management
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• v.14 no.5
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• pp.122-130
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• 2013

As the level of competition has increased in the construction management market, it becomes a critical issue for CM firms to secure competitive edges. The objective of the study is to investigate elements of competitive strategy as perceived by CM firms and to discuss key features and implications. Michael Porter's Competitive Strategy Model was used as a framework to analyse the elements under three strategy categories. A major finding includes that Differentiation Strategy is generally perceived most important strategy category but, depending on the group to which a CM firm belongs, there exist a gap in the perception. However, regardless of the group, Cost Leadership is commonly considered least important strategy category. In particular, lowest-bidding strategy element showed the least importance. Understanding CM firms' perceptions on elements of competitive strategy provides an insight into CM firms' current strategy directions and can be useful for future tuning in a firms' own strategy.

• Journal of Information Technology Services
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• v.16 no.1
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• pp.41-53
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• 2017

Recently, due to the economic recession and increase of ITO (IT Outsourcing), bidding in software industry has been recognized as more competitive and the importance of software bid evaluation for corporate selection is being increased. This study aims to analyze and prioritize influential factors in the software bid evaluation criteria which is adopted as the main evaluation model of national software businesses by Ministry of Science. The priority was developed by AHP (Analytic Hierarchy Process) through pair-wise comparison. For the analysis, this study developed analysis model for AHP and conducted survey of experts who have work experience for more than 10 years in the IT industry. As the result of analysis, weighted factors in the evaluation criteria were deduced and differences of priority factors between purchaser and bidder were investigated. The analysis showed differences of view point in the bidding process. With these results, this study suggests how to write a proposal strategically and effectively in perspective of the purchaser. It is expected that priority factors will be adopted in strategic proposals in both bidder and purchaser. For purchaser, the priority will be adopted to select reliable bidder. So, we expect that the priority factors will be used to get more values for both bidder and purchaser in their business atmosphere.

• Journal of Energy Engineering
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• v.8 no.2
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• pp.265-271
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• 1999

In recent years, the electric utility industry in Korea has undergone fast change. Private power generation has been introduced by competitive bidding to improve economic efficiency and to strengthen the competitive generation market. In these private generation projects, the yearly pattern of purchase price between the utility and IPPs is very important. Currently, the levelized payment schedule is applied to capacity payment, and price escalation rates are reflected to energy payment. In this paper, we Proposed different patterns of payment and analyzed the outcomes. As a result, we found possibility of applying the partial front-loading pattern in Korean market to share the risk of the long-term business. And, the importance of discount rate is also found.

• KIEE International Transactions on Power Engineering
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• v.5A no.4
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• pp.331-338
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• 2005

In this paper, an improved maintenance scheduling approach suitable for the competitive environment is proposed by taking account of profits and costs of generation companies and the formulated combinatorial optimization problem is solved by using Reactive Tabu search (RTS). In competitive power markets, electricity prices are determined by the balance between demand and supply through electric power exchanges or by bilateral contracts. Therefore, in decision makings, it is essential for system operation planners and market participants to take the volatility of electricity price into consideration. In the proposed maintenance scheduling approach, firstly, electricity prices over the targeted period are forecasted based on Artificial Neural Network (ANN) and also a newly proposed aggregated bidding curve. Secondary, the maintenance scheduling is formulated as a combinatorial optimization problem with a novel objective function by which the most profitable maintenance schedule would be attained. As an objective function, Opportunity Loss by Maintenance (OLM) is adopted to maximize the profit of generation companies (GENCOS). Thirdly, the combinatorial optimization maintenance scheduling problem is solved by using Reactive Tabu Search in the light of the objective functions and forecasted electricity prices. Finally, the proposed maintenance scheduling is applied to a practical test power system to verify the advantages and practicability of the proposed method.