• 한국건설관리학회논문집
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• 제10권6호
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• pp.146-153
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• 2009

2008년에는 국내 부동산 경기 침체로 인해 국내 건설 경기가 급속도로 악화되었으며, 국제 유가인상과 함께 철근, 레미콘 등 건설 주요 자재의 가격이 폭등하였다. 또한 새로 출범한 정부는 '예산 10% 절감' 방안을 내세우며 그 일환으로 최저가 낙찰제 공사를 기존 300억원에서 100억원으로 확대 시행할 것으로 발표하였다. 이처럼 정책적 경제적 악재가 겹치면 가장 큰 타격을 받는 것은 대부분 수익성 없이 저가로 수주한 최저가 낙찰제 현장이다. 평상시에도 적자로 운영되는 현장에서 이런 대외적 타격을 받을 경우, 기존에 안고 있던 문제점들이 극대화되기 때문이다. 이에 본 연구에서는 2008년 국내 최저가 낙찰제 현장의 운영 실태를 파악하고 발견된 문제점들에 대한 원인 분석 및 이에 따른 개선방안을 도출하였다. 조사 결과 발주자-원도급자-하도급자간의 자금 유동성의 문제가 가장 큰 것으로 드러났으며 그 원인에는 설계변경 및 에스컬레이션 제도의 미작동 및 리스크를 중소 및 영세기업에게 전가시키는 생산구조에 있는 것으로 파악되었다. 이에 따라 원도급자들은 경기 사이클에 대비할 수 있는 리스크관리 능력을 향상시키고, 발주자들은 경기 침체 시 현장에 유동성을 확보해 줄 수 있는 장치를 마련해 주는 것이 중요한 것으로 파악되었다.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.16-22
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• 2001

There is no doubt that agents play an increasingly predominant role in e-commerce, whether these are business-to-consumer or business-to-business applications. However most of the current e-commerce agents only support a single bid for a product at a fixed price. Although price is an important factor, it is not the only concern of both business and consumer. There is doubt as to whether such agents satisfv both parties. Negotiation on a variety of issues is needed in order to reach an agreement. In this paper, a computational agent negotiation(CAN) model is proposed to facilitate multiple-issue negotiation via an agent. The main contribution of the CAN model is it enables agent to participate actively in the negotiation with various feedback instead of simply an agreement or rejection.

• 한국경영과학회지
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• 제32권1호
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• pp.15-26
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• 2007

This study analyzes revenue-maximizing strategies of online auction sellers in terms of setting up starting bids and buy-it-now options. To this end, a series of field experiments is conducted where women's hair accessories of unique designs are listed in an established online auction site. The results of the experiments argue that high starting bids could increase sellers' revenue while buy-it-now options have no significant effects. Our findings suggest that online auction sellers listing items with uncertain demand - mainly individual sellers - should be cautious with auction tips which generally support low starting buds.

• 대한토목학회논문집
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• 제33권6호
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• pp.2575-2582
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• 2013

공공건설공사 발주제도 운영에 있어 기술경쟁을 지향하는 턴키 및 대안방식 등 설계 시공일괄방식의 경우, 시설물의 품질향상 및 건설기술 발전에 기여하였음에도 불구, 계약되는 공사비가 설계 시공 분리발주방식을 적용하는 공사보다 높아 예산낭비 우려가 있다는 지적과 함께 수주독점, 입찰담합, 심의비리 등의 문제가 쟁점이 되고 있다. 그러나 실제 발주방식별 사업성과와 효과에 대해 정밀 비교분석한 사례가 없는 실정이며, 단순히 낙찰률 등 사업의 한정된 일반적 정보만으로 사업효과를 논의하고 판단하는 것은 자칫 오류를 범할 우려가 있다. 이에 공공 건설공사를 대상으로 계약에서 준공에 이르기까지 실제 집행한 공사비 자료를 광범위하게 조사하여 비용의 투입구조 및 변동추세 등 발주방식별 특성을 비교분석하고 공공건설공사 발주제도의 올바른 이해와 효율적 운영을 도모하고자 한다.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.605-613
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• 2020

In unfrictionless markets, one measure of asset pricing is its height of friction. This study develops a three-factor model by loosening the assumptions about stocks without friction, without risk, and perfectly liquid. Friction is used as an indicator of transaction costs to be included in the model as a variable that will reduce individual profits. This approach is used to estimate return, beta and other variable for firms listed on the Indonesian Stock Exchange (IDX). To test the efficacy of friction-adjusted three-factor model, we use intraday data from July 2016 to October 2018. The sample includes all listed firms; intraday data chosen purposively from regular market are sorted by capitalization, which represents each tick size from the biggest to smallest. We run 3,065,835 intraday data of asking price, bid price, and trading price to get proportional quoted half-spread and proportional effective half-spread. We find evidence of adjusted friction on the three-factor model. High/low trading friction will cause a significant/insignificant return difference before and after adjustment. The difference in average beta that reflects market risk is able to explain the existence of trading friction, while the difference between SMB and HML in all observation periods cannot explain returns and the existence of trading friction.

• 보건의료산업학회지
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• 제3권2호
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• pp.55-64
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• 2009

The purpose of this study was to examine the use of skincare & obesity clinics, customer satisfaction with franchise and non-franchise skincare & obesity clinics and customer selection criteria in the region of Busan in a bid to suggest some of the right directions for marketing strategies for the inauguration of skincare & obesity clinics. The subjects in this study were 240 users of 16 different skincare & obesity clinics selected from Busan. Out of the clinics, four franchise clinics and four non-franchise clinics were selected from the major commercial districts, and four franchise clinics and four non-franchise clinics were selected from the residential areas. Concerning the influence of three leading factors on customer satisfaction, all the service price, material service and human service had a significant impact on customer satisfaction in the franchise model for the commercial districts. In the case of the franchise clinics in the residential areas, only service price exerted a significant influence on customer satisfaction. In terms of the non-franchise model for the commercial districts, customer satisfaction was under the significant influence of human service and material service, and that was significantly affected by human service and service price in the non-franchise model for the residential areas.

• 지역연구
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• 제11권1호
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• pp.61-78
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• 1995

This study begins with a question of what spatial impact international trade policy would have following the Uruguay Round, particularly focusing on agricultural trade liberalization in Korea. Based upon the neoclassical urban economic model, it first identifies the channel in which agricultural market opening can ultimately affect both rural and urban are as; $\circled1$ Free trade will depress domestic price of agricultural products, $\circled2$ which will in turn depreciate agricultural land price. $\circled3$ The decrease in marginal supply cost for urban land will then facilitate urban sprawl, provided that the government relaxes restrictions on urban-rural land conversion. Theoretical analysis is further refined by empirical considerations that distinguish agricultural land value solely for production purpose from that for future urban, uses, and that distinguish the urbanization effect caused by the fall in the supply cost of urban land from that caused by the existing high level of demand. Utilizing the estimate of bid-price for paddy field derived from the revenue-cost relationship of rice production, simulation results show that the urban-rural boundary under trade liberalization can expand outward up to 70-85km radius in the Seoul metropolitan area, suggesting the emergency of a metropolis or even a megalopolis which extends from Seoul to the central part of the country. Since the geographic extent of urbanization effect can vary depending upon the urban spatial structure, however, it is recommended that the redevelopment option in the built - up area should always be tied up with the issue of whether to deregulate rural-to-urban land conversion.

• 한국정보처리학회논문지
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• 제7권5S호
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• pp.1620-1628
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• 2000

Existing internet auction systems have adopted the form which gives a win to the auction bidder who proposes the top bid price for the goods posted on the auction board. But they haven't been satisfying the automatical one-step processing for user's convenience because they must require continuous care of user for bidding and checking as well as neglecting the convenience of user interface while participating in the electronic bidding system. The AuctionBot system of Michigan Univ. is known as the representative internet auction system. It has merit allowing the various kids of bidding. But it does not support automatic a process which can replaces what user has to do using an agent. To improve this kind of user interface, we propose an automatic bidding price strategy algorithm which composes the auction system using agent and design for auto-bidding system using agent so that I can replace user's bidding activity. This mechanism gives an auction system the efficient bidding price strategy.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.78-82
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• 2001

Most of current Internet auction systems are simple server programs that partly automated the function of the conventional auction house. These system do not provide sufficient independence, distribution and parallelism between the functions of the conventional auction house. In there are automated by server program, but still users need to execute a repetitive task to monitor the dynamic progress of a certain auction, decide proper bid price, and submit the bid. Another problem is that they support only single as English auction and Dutch auction, but they do not support the double auctions are superior to the single auction with respect to speed., efficiency, and the fair distribution of profit. In this paper, we present design and implement of an agent-based continuous double auction system, called CoDABot, in order to mitigate the limitations of current auctions system. CoDABot supports continuous double auction, provides various bidding agent for users to select, and has been implemented into a multi-agent system that realize more independent, distributed, and parallel subsystems.

• Journal of Construction Engineering and Project Management
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• 제6권3호
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• pp.1-7
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• 2016

The purpose of this paper is to develop a model for selecting the best contractor in the Gaza Strip using the Artificial Neural Network (ANN). The contractor's selection methods and criteria were identified using a field survey. Fifty four engineers were asked to fill a questionnaire that covers factors related to the selection criteria of contractors practiced in Gaza Strip. The results shows that the dominant part of respondents (91%) confirmed that the current awarding method "the lowest bid price" is considered one of the major problems of the construction sector, "award the bid to the highest weight after combination of the technical and financial scores" represented 50% of the respondents. The criteria weights were determined based on Relative Importance Index (RII. Ninety-one tenders(13 projects) were used to train and test the ANN model after re-evaluating the contractors depend on the weights of factors to select the best contractor who achieves the highest score. Neurosolution software was used to train the models. The results of the trained models indicated that neural network reasonably succeeded in selection the best contractor with 95.96% accuracy. The performed sensitivity analysis showed that the profitability and capital of company are the most influential parameters in selection contractors. This model gives chance to the owner to be more accurate in selecting the most appropriate contractor.