• Title/Summary/Keyword: Bid Data

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External Factors Influencing Bid/No-Bid Decision for Supervision Consultant Service: A Case of Construction Project in Hanoi

  • HA, Son Tung;TRAN, Manh Linh;HOANG, Huy Viet;TRAN, Van Hung
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.6
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    • pp.417-425
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    • 2020
  • This paper investigates the potential impact of external factors on bid/no-bid decision for supervision consultant service on construction project in Hanoi, the capital of Vietnam. The data used in this study are secondary data taken from annual reports and sourced from the Department of Public Procurement, Ministry of Planning and Investment in Hanoi. Besides, to identify the impact of external factors on bid/no-bid decision for supervision consultant service on construction project in Hanoi, the study collected data from 272 qualified questionnaires from bidders doing business in Hanoi. Cronbach's Alpha, EFA and regression model are used to explore the impact of each independent variable on bid/no-bid decision for supervision consultant service on construction project. The results show that three external determinants, including Project characteristic (PC), Legal codes (LC) and Competition (C) are affecting bid/no-bid decision for supervision consultant service on construction project in Hanoi. Among them, Project characteristic (PC) and Legal codes (LC) have positive relationships with bid/no-bid decision for supervision consultant service on construction project, whereas Competition (C) negatively affects bid/no-bid decision for supervision consultant service on construction project. It means the more contractors actually participate in a bid, the less bid/ no-bid decisions are made.

Prediction Models on Internet Auctions

  • Hong, Chong-Sun;Song, Ki-Yong
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.3
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    • pp.795-804
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    • 2006
  • Most internet auction sites open to users the bid history with the ascending order of bid amounts. Whereas eBay.com presents second bid prices, auction.co.kr provides highest bid prices. In this paper, the bidhistory is arranged according to the passage of tim, which can help to understand the situations and trends of bid prices, especially for multiple auctions. This manipulated data can be visualized by using profile plots. The successful bid prices could be estimated based on some prediction models with appropriate prior informations. Both sellers and bidders can be provided useful informations with these statistical analyses, and then fair online auctions in Korea will grow actively and rapidly.

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An Efficient Bid Pricing Agent for Internet Bid Systems Based on Costing Methods (원가 산정법에 기반한 인터넷 입찰 시스템의 효율적 입찰가 생성 에이전트)

  • Park Sung Eun;Lee Yang Kyu
    • Journal of Information Technology Applications and Management
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    • v.11 no.3
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    • pp.23-33
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    • 2004
  • Internet bid systems have been widely used recently. In those systems, the bid price is provided by the seller. When the bid price is set too high compared with the normal price, the successful bid rate can be decreased. Otherwise, when it is set too low based on inaccurate information, it can result in a successful bid with no profit at all. To resolve this problem, we propose an agent that automatically generates bid prices for sellers based on various costing methods such as the high-low point method, the scatter diagram method, and the learning curve method. Through performance experiments, we have found that the number of successful bids with appropriate profit can be increased using the bid pricing agent. Among the costing methods, the learning curve method has shown the best performance. Also, we discuss about how to design and implement the bid pricing agent.

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Investigation on Uncertainty in Construction Bid Documents

  • Shrestha, Rabin;Lee, JeeHee
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.67-73
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    • 2022
  • Construction bid documents contain various errors or discrepancies giving rise to uncertainties. The errors/discrepancies/ambiguities in the bid document, if not identified and clarified before the bid, may cause dispute and conflict between the contracting parties. Given the fact that bid document is a major resource in estimating construction costs, inaccurate information in bid document can result in over/under estimating. Thus, any questions from bidders related to the errors in the bid document should be clarified by employers before bid submission. This study aims to examine the pre-bid queries, i.e., pre-bid request for information (RFI), from state DoTs of the United States to investigate error types most frequently encountered in bid documents. For the study, around 200 pre-bids RFI were collected from state DoTs and were classified into several error types (e.g., coordination error, errors in drawings). The analysis of the data showed that errors in bill of quantities is the most frequent error in the bid documents followed by errors in drawing. The study findings addressed uncertainty types in construction bid documents that should be checked during a bid process, and, in a broader sense, it will contribute to advancing the construction management body of knowledge by clarifying and classifying bid risk factors at an early stage of construction projects.

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Automatic Generation of Reserve Prices and Bid Prices for a Group Buying System (공동 구매 시스템에서의 낙찰 예정가 및 입찰가 자동 생성)

  • 김신우;고민정;박성은;이용규
    • The Journal of Society for e-Business Studies
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    • v.7 no.2
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    • pp.55-68
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    • 2002
  • Internet group buying systems have been widely used recently. In those systems, because the reserve price is provided by the buyer, the success rate can be decreased if the reserve price is set too low compared with the normal price. Otherwise, an unsuitable successful bid can be made if the reserve price is set too high based on inaccurate information. Likewise, the seller's providing too high a bid price can deteriorate his/her own successful bid rate, whereas a successful bid with too low a price may make no profit in the sale. Therefore, pricing agents that recommend adequate prices based on the past buying and selling history data can be helpful. In this paper, we propose two kinds of agents. One suggests reserve prices to buyers based on the past buying history database of the system. The other recommends bid prices to a seller based on the past bidding history data of the company using the cost accounting theory. Through performance experiments, we show that the successful bid rate can increase by preventing buyers from making unreasonable reserve prices. Also, we show that, for the seller, the rate of successful bids with appropriate profits can increase. Using the pricing agents, we design and implement an XML-based group buying system.

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Spatiotemporal Visualization of Unit Price Data of Highway Projects

  • Jain, Deepanshi;Shrestha, K. Joseph;Jeong, H. David
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.77-81
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    • 2015
  • The unit price contracting is the standard contracting method for highway projects in the U.S. As a result, state highway agencies have collected a large amount of historical bid data that they can use to determine engineer's estimates for future projects. The estimator must carefully consider various characteristics of a new project such as its location to determine an engineer's estimate as accurate as possible before bid letting. Higher cost estimates can result in the loss of the available budget and lower cost estimates may lead to deferral and delay of projects. The study uses the historical bid data obtained from Iowa Department of Transportation and develops a Geographic Information System (GIS) tool to visually show the variation of unit prices over the map using a spatial interpolation technique. The interpolation map can be used to estimate the unit price of the item at any location across Iowa. This noble method allows the estimator to effectively and fully utilize the historical bid data in a very time efficient manner and determine more accurate cost estimation.

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Predicting Fair Bidding Behavior of Bidding Practitioners using TPB (TPB를 활용한 입찰실무자들의 공정입찰 행동 예측)

  • Cho, Jin-Ho;Shin, Young-Su;Kim, Byung-Soo
    • Korean Journal of Construction Engineering and Management
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    • v.25 no.1
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    • pp.23-31
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    • 2024
  • This study highlights the importance of understanding the fair bidding behavior of bid practitioners in order to eliminate bid-rigging, which has a detrimental impact on the construction industry and the overall economy. The research collected survey data from bid practitioners in the Daegu and Gyeongbuk regions of South Korea and analyzed the causal relationships between attitudes towards bid-rigging, subjective norms, perceived behavioral control, and the intention to engage in fair bidding using PLS-SEM analysis. The analysis results confirm that attitudes towards bid-rigging and perceived behavioral control are significant variables predicting the intention to engage in fair bidding among bid practitioners. This indicates that bid practitioners' perceptions of bid-rigging and personal behavioral control influence their willingness and actions towards fair bidding. The insights gained from this research provide valuable insights into bid practitioners' behavioral changes and can aid in the development of policies and measures to promote fair bidding and prevent bid-rigging.

Detecting Red-Flag Bidding Patterns in Low-Bid Procurement for Highway Projects with Pattern Mining

  • Le, Chau;Nguyen, Trang;Le, Tuyen
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.11-17
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    • 2022
  • Design-bid-build (DBB) is the most common project delivery method among highway projects. State Highway Agencies (SHAs) usually apply a low-bid approach to select contractors for their DBB projects. In this approach, the Federal Highway Agency suggests SHAs heighten contractors' competition to lower bid prices. However, these attempts may become ineffective due to collusive bidding arrangements among certain contractors. One common strategy is the rotation of winning bidders of a group of contractors who bid on many of the same projects. These arrangements may also be specific to a particular region or vary in time. Despite the practices' adverse effects on bidding outcomes, an effective model to detect red-flag bidding patterns is lacking. This study fills the gap by proposing a novel framework that utilizes pattern mining techniques and statistical tests for unusual pattern detection. A case study with historical data from an SHA is conducted to illustrate the proposed framework.

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Suggestions for Detection System of Bid-rigging in Public Construction Projects

  • Song, Sanghoon;Bang, Jong-Dae;Sohn, Jeong-Rak;Cho, Gun-Hee
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.712-713
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    • 2015
  • In recent years, the bid-rigging in public construction markets has been treated as a critical issue in Fair Trade Commission. The investigation revealed that the collusion was implemented extensively in every area from the material supply to the construction service of general contractors. This study reviewed the causes of the bid-rigging in public construction projects, and proposed the improvement plan to eradicate bad practices. Firstly, the causes and purposes of bid-rigging were categorized into two types of internal factors from construction companies and external environment factors influencing business activities. Secondly, the system development method was explained to detect the signs of bid-rigging based on the technical proposal documents in open tender. The detection systems of repetitive public owner also provide the function of sharing data on the companies and cases to violate the fair trade regulation. In addition, the problems and improvement direction of public procurement policies were discussed.

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Effects of Adoption of the Buy-price, Setting the Starting Bid Price, and Adoption of 'the Effective Fixed Price' on the Final Bid Prices in Internet Auctions (인터넷 경매에서 즉시구매옵션 설정여부, 시작가, 고정가형 판매방식여부가 낙찰가에 미치는 영향)

  • Lee, Yong-Seon;Ahn, Byong-Hun;Jang, Dae-Chul
    • Journal of the Korean Operations Research and Management Science Society
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    • v.32 no.1
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    • pp.27-51
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    • 2007
  • We analyze the effects of the sellers' strateiges on the final bid prices in internet auctions. We focus on the following three strategies of the seller adoption of the buy-price, setting the starting bid price, and adoption of 'the effective fixed price' which means that the starting bid price is set near the buy-price. In addition, the number of units sold single-unit or multi-unit, and item characteristics, such as whether the food is a search product (functional product) or an experience product (non-functional product), are also considered. We use real data on bids for 4 items from an online auction site. We find that in an auction for experience products when sold as single units, adopting the buy-price strategy raises the final bid price. We also find that in multi-unit auctions, starting the auction at 'the effective fixed price' raises the final bid price.