DocumentCode
467835
Title
An Incentive Scheme Design for Long-Term Contractor Cooperation
Author
Xie, Bai-Chen ; Wu, Yu-Hua ; Deng, Ying-Zhi
Author_Institution
Tianjin Univ., Tianjin
Volume
4
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
2290
Lastpage
2295
Abstract
In bid invitation, the project owner is interested in deploying the contract mechanism that will secure reliable service at the cheapest cost and best quality. On the other hand, the contractor bidding for the project is interested in winning the contract at a price that assures him a reasonable profit margin. This paper develops a game-theoretic model which studies the contract design problem of the project owner when it faces with a contractor whose quality of service and the cost of providing the service are private information to the owner. We apply the Revelation Principle to our analysis and characterize the optimal contract. The result shows that the project bid works best when offered to the contractor with high capability includes either a penalty scheme or a gain-sharing scheme, and the contract offered to the contractor with low capability includes only premium. Furthermore, the more attractive the gain-sharing scheme, or alternatively, the more severe the penalty is, the less the initial remuneration is and vice versa. Finally, the paper proves that for the high and media capability contractors, the proposed optimal contract is independent of the ex-ante beliefs which the owner has on the capability and the cost of the contractor.
Keywords
contracts; game theory; incentive schemes; project management; bid invitation; contract design problem; contract mechanism; contractor bidding; gain-sharing scheme; game-theoretic model; incentive scheme design; long-term contractor cooperation; project owner; quality of service; reasonable profit margin; Conference management; Contracts; Costs; Cybernetics; Engineering management; Incentive schemes; Machine learning; Project management; Quality management; Quality of service; Contractor; Cost; Game theory; Project bid; Revelation principle; Scheme design;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370527
Filename
4370527
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