A Numerical Study with Experimental Data on Risk-Averse Subcontractors in Procurement Auctions with Subcontract Bids

研究成果: Conference contribution

抄録

Prime contractors often solicit estimates for part of their work from potential subcontractors who can perform that work on their behalf with lower costs, prior to submitting their own estimates in procurement auctions. In a simple model for capturing this aspect of procurement auctions, this note clarifies through a numerical study with experimental data an important factor for obtaining clearer results in the experimental sessions. It was shown that unclear results observed in the sessions conducted previously would be due to the presence of extreme patterns in the distributions of risk aversion rates among the participants. We need to control the extreme risk aversion rates of participants for designing the experiment for future research.

本文言語English
ホスト出版物のタイトルProceedings - 2021 IEEE International Conference on Big Data, Big Data 2021
編集者Yixin Chen, Heiko Ludwig, Yicheng Tu, Usama Fayyad, Xingquan Zhu, Xiaohua Tony Hu, Suren Byna, Xiong Liu, Jianping Zhang, Shirui Pan, Vagelis Papalexakis, Jianwu Wang, Alfredo Cuzzocrea, Carlos Ordonez
出版社Institute of Electrical and Electronics Engineers Inc.
ページ3495-3499
ページ数5
ISBN(電子版)9781665439022
DOI
出版ステータスPublished - 2021
外部発表はい
イベント2021 IEEE International Conference on Big Data, Big Data 2021 - Virtual, Online, United States
継続期間: 2021 12月 152021 12月 18

出版物シリーズ

名前Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021

Conference

Conference2021 IEEE International Conference on Big Data, Big Data 2021
国/地域United States
CityVirtual, Online
Period21/12/1521/12/18

ASJC Scopus subject areas

  • 情報システムおよび情報管理
  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 情報システム

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