Abstract
This study investigates the influence of the uncertainty factors in the pre-bid clarification document on bid price formation during the project bidding. To this end, civil projects from the California Department of Transportation were used as research data. This study randomly selected 50 sample data from each of 12 counties in 2008-2020: a total of 600. Within the data, this study examined the project uncertainty cases. Based on the analysis, four uncertainty factors: 'conflict' (UF1), 'impossibility' (UF2), 'lack' (UF3), and 'missing' (UF4) were extracted. With the project not containing any uncertainty factors as a control group, the project containing these uncertainty factors was designated as an experimental group. After comparing the bidder's price, the experimental group's bid price was formed at a higher level than the control group. This result suggests that uncertainty factors in bid documents induce bidders to set a high-bid price as a defense against uncertainty.
Original language | English |
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Title of host publication | Construction Research Congress 2022 |
Subtitle of host publication | Project Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022 |
Editors | Farrokh Jazizadeh, Tripp Shealy, Michael J. Garvin |
Publisher | American Society of Civil Engineers (ASCE) |
Pages | 219-224 |
Number of pages | 6 |
ISBN (Electronic) | 9780784483978 |
DOIs | |
State | Published - 2022 |
Event | Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials, CRC 2022 - Arlington, United States Duration: 9 Mar 2022 → 12 Mar 2022 |
Publication series
Name | Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022 |
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Volume | 3-C |
Conference
Conference | Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials, CRC 2022 |
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Country/Territory | United States |
City | Arlington |
Period | 9/03/22 → 12/03/22 |
Bibliographical note
Funding Information:This work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 21ORPSB158109-02). Also, this work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 22ORPS-B158109-03).
Publisher Copyright:
© 2022 ASCE.