• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.6D
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• pp.975-983
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• 2006

This study analyzed bidding data for construction projects ordered by the Public Procurement Service under the lowest bidding system since 2001 by using statistical technique in terms of construction types, company sizes, bidding prices. This study brings out construction company's bidding practices and problems caused by the current lowest bidding system and suggests the way to mitigate the problems and to improve the lowest bidding system. The analysis shows the problem of winning a bid in abnormally low price under the lowest bidding system, feared at the start, was realized. As bidding practice has polarized with low and high price, the analysis shows that the lowest bid system's market has a high possibility to be distorted by construction companies' bid strategies. To complement the lowest bidding system's problem, the analysis shows that introduction of the bidding system using particulars where bidders estimate construction quantities and unit prices by themselves is needed.

• Korean Journal of Construction Engineering and Management
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• v.3 no.2 s.10
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• pp.114-120
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• 2002

Traditional bidding process and activities in public construction area has many problems in terms of the transparency and fairness of administration. And, it causes many expenses to suppliers. As part of the efforts to solve these problems, some public institutions developed the electronic bidding systems. But these systems have still problems in diverse aspects. Therefore, the purpose of this study is to analyze current bidding systems through literature survey, Questionnaire, contentment estimation and IDEF method to compare the result of the analysis with the developed electronic bidding systems and to suggest the improvement for the coming bidding systems. According to the survey, under present bidding system big problem is inconvenience of conducting process. Nearly all users of current electronic bidding systems were contented. When public institutions are planning new electronic bidding systems, standardization, security, law and bidding system consolidation must be applied. This study proposes an improved bidding system and described the effects through the improvements.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.1
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• pp.147-152
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• 2020

The bidding program uses statistical analysis method of the collected bidding information and the accumulated bidding results from the public/private sector; however, it is not easy to predict the accurate bidding price by winning the bid method through multiple lottery. Therefore, this paper analyzes the accuracy of the current state data of the electric construction bid from January 2015 to August 2019 acquired from the electric net, which is an electronic bidding site, We use MLP and RNN method, and proposes a technique to predict the bidding amount necessary for the winning bid by predicting the amount between the first and the lowest bidder.

• The Journal of Information Systems
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• v.25 no.4
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• pp.63-85
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• 2016

Purpose While the popularity of C2C auction platforms such as eBay is gradually decreased, this domain is still undermined to explain online bidding behaviors. Online bidders sometimes engage in impulsive bidding due to some of the online auction characteristics. Therefore, this study develops and tests a model of the impulsive bidding exhibited by online bidders in C2C auction platforms. Based on S-O-R framework, our model posits that both perceived time-pressure and competition intensity affect cognitive absorption which ultimately influences the impulsive bidding. Design/methodology/approach This study collected survey data from 214 C2C auction participants, who have prior experience on impulsive bidding and tested both measurement model and structural model by using CB-SEM (covariate-based structural equation modelling) technique. In this study, by using AMOS 20.0, we tested the measurement model for its overall fit, item reliability, and validity and further conducted the structural model to test our proposed hypotheses. Findings Based on our results, we found that perceived tim-pressure and competition intensity were positively related to cognitive absorption. We also found that the cognitive absorption was positively associated with impulsive bidding behavior. In this study, by developing our research model in S-O-R framework, we provide an alternative theoretical mechanism to describe online impulsive bidding behavior.

• Journal of Digital Convergence
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• v.6 no.1
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• pp.11-19
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• 2008

The Bidding System of the public IT project in Korea is fallen behind, because of the ordering habitual practice based old system, overcompetition based sealed bid and subcontract practice. To innovate this old-fashioned practice for public IT project bidding, this paper wants to generate a proper improvement direction of the public IT project contract law and the related policy through the literature review about the ordering and receiving system in Korea, the practical survey about bidding marketplace in Korea, and competition between bidding system and/or policy of major countries: USA, UK, France and Japan. As a result of practical survey, many problems of the current public IT project bidding system came out and improvement ideas toward future situation turned up. These outputs implicate that the current law and system related public IT project demands better improvement work for the future ubiquitous Korea. Therefore, this paper, to solve these problems about bidding systems and practice, propose the new public IT project contract law and the related policy, reflecting these improvement ideas by the practical survey and the literature review, and benchmarking points from bidding system of other countries.

• Proceedings of the KIEE Conference
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• 2002.11b
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• pp.369-371
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• 2002

In a competitive electricity market, the transactions of the electric power can be accomplished through the bidding which is submitted by suppliers and consumers. It is essential that the optimal decision for the bidding is required to take a dominant position in the competition. Therefore, in this paper we presents bidding variables from bidding curves of suppliers and consumers and proposes the algorithm of an optimal bidding strategy using optimal power flow. Furthermore, the variation of the optimal bidding is investigated through numerical studies.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.54 no.8
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• pp.396-400
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• 2005

This paper proposes the cost analysis on the energy efficient equipment when this equipment is participated in the demand-side bidding. Conventional demand-side bidding is exercised through load re-distribution. However if this load reduction is exercised by the use of high efficient equipment, its effect will be assumed to be more economical. This paper analyses this cost-benefit effect of high efficient equipment in the demand-side bidding.

• KIEE International Transactions on Power Engineering
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• v.3A no.1
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• pp.47-52
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• 2003

This paper presents a schematic process based on the method of eliminating dominated strategies to obtain the optimal bidding strategy Pursuing the Nash equilibrium Point. The Proposed approach is demonstrated for a bidding game in a generation competitive market with 2-dimensional bidding strategy vectors constituting a price-quantity strategy curve.

• International Commerce and Information Review
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• v.7 no.2
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• pp.25-47
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• 2005

This study wishes to analyze that affect in purchasing decision in Telecommunication operation company's international competitive bidding. When submit a tender laying stress on international competitive bidding of the Telecommunication operation companies among specially various international competitive bidding, I wish to investigate game theory enemy by bid method through access method about bid form affecting in buyer's purchasing decision.

• Proceedings of the KIEE Conference
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• 2001.11b
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• pp.60-62
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• 2001

This paper shows the optimal bidding strategy determination method using Nash equilibrium concept by defining bidding strategy vector. This vector is 2-dimension vector whose components are generation amount and generation cost. Thereby we are able to make all possible strategies and their's payoff table. And then we erase dominated strategies one by one so that we obtain Nash equilibrium, the optimal bidding strategy of generation bidding game.