Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 23 results ...
Abbiasov, T (2021) Essays in Urban Economics, Unpublished PhD Thesis, , Columbia University.
Asgari, S (2016) Modeling construction competitive bidding: An agent-based approach, Unpublished PhD Thesis, , Columbia University.
Chang, H-H (2002) N-dimensional construction management information system (NDCON): System design and performance modeling through the zero -buffered project management philosophy, Unpublished PhD Thesis, , Columbia University.
Chen, S-M (2002) Intelligent scheduling model and multi-dimensional CM information system, Unpublished PhD Thesis, , Columbia University.
Chiara, N (2006) Real option methods for improving economic risk management in infrastructure project finance, Unpublished PhD Thesis, , Columbia University.
Fitch, G J (2019) System dynamics models for the valuation of real options in infrastructure investments, Unpublished PhD Thesis, , Columbia University.
Gerstenberger, A J (2021) Modeling the likelihood of construction incidents using public data, Unpublished PhD Thesis, , Teachers College, Columbia University.
Gocmen, F C (2014) Infrastructure scaling and pricing, Unpublished PhD Thesis, , Columbia University.
He, Y (2006) Earthquake loss and risk estimation of buildings by Monte Carlo simulation, Unpublished PhD Thesis, , Columbia University.
Hogan, D B (1998) Modeling construction cost performance: A comprehensive approach using statistical, artificial neural network and simulation methods, Unpublished PhD Thesis, , Columbia University.
Kokkaew, N (2010) Risk flexibility analysis in infrastructure project finance, Unpublished PhD Thesis, , Columbia University.
Li, W (1995) Benefit and cost analysis: Three-dimensional computer models with integrated databases in the management of construction, Unpublished PhD Thesis, , Columbia University.
Lu, Z (2018) Feasibility assessment framework for financing public-private partnership infrastructure projects through asset-backed security, Unpublished PhD Thesis, , Columbia University.
Silver, M L (1981) Craft production: Work and alienation in the construction industry, Unpublished PhD Thesis, , Columbia University.
Song, X (2013) The application of insurance as a risk management tool for alternative dispute resolution (ADR) implementation in construction disputes, Unpublished PhD Thesis, , Columbia University.
Sturts, C S (2001) Value-bidding: An integrative approach utilizing conjoint analysis and classical bidding theory, Unpublished PhD Thesis, , Columbia University.
Subsomboon, K (2004) A procurement and material management (PMM) system based on the fully integrated and automated project process (FIAPP), Unpublished PhD Thesis, , Columbia University.
Sun, W (2023) A self-localized smart hardhat system for construction 4.0, Unpublished PhD Thesis, , Columbia University.
Tavakolan, M (2011) Development of construction projects scheduling with evolutionary algorithms, Unpublished PhD Thesis, , Columbia University.
Teferra, K (2012) Developments in the theory and applications of the variability response function concept, Unpublished PhD Thesis, , Columbia University.
Ucbenli, C (2010) A bargaining mechanism with incomplete information and its application in trilateral BOT negotiations, Unpublished PhD Thesis, , Columbia University.
- Type: Thesis
- Keywords: game theory; concession; capital structure; government; infrastructure project; negotiation; stakeholder
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/858860049
- Abstract:
Successful implementation of Build/Operate/Transfer (BOT) type infrastructure projects requires major BOT stakeholders, namely the Sponsor, the Government, and the Lender to reach an agreement on the terms of the concession and loan contracts and comply with the agreed-upon terms. The natural unwillingness of the parties to disclose their private information such as their utility functions could slow down and even break down a BOT negotiation process as well as any negotiation process. Even if incomplete information does not prevent parties from reaching an agreement, lack of fairness could result in costly renegotiations in the future. The general view in current game theory literature is that the players are able to discuss the situations with perfect information in a cooperative bargaining process. This assumption requires each player to make known his utility function and disagreement outcome at the negotiation table. Then, all players should select a unique utility pair in the utility space which satisfies the axioms of the pre-agreed bargaining model, such as the Nash or Kalai-Smorodinsky bargaining solutions. This thesis proposes a novel prescriptive bargaining mechanism with incomplete information which allows players to reach a considerably 'fair' and 'efficient' agreement with limited information sharing. Additionally, a new trilateral BOT negotiation framework over multiple decision variables has been developed. In the framework, three major parties, namely, the Sponsor, the Government, and the Lender are supposed to negotiate and reach an agreement over the two most important decision variables in a BOT deal: the length of the concession period granted to the Sponsor by the Government, and the capital structure, which refers to the combination of equity and debt in BOT asset. The novel bargaining mechanism when applied to trilateral BOT negotiations could help the industry practitioners facilitate the BOT negotiation process and avoid costly renegotiation by addressing fairness in the first place. Though the bargaining mechanism with incomplete information has been developed particularly for trilateral BOT negotiation process, its application area is far-reaching and broader. It can facilitate stuck negotiations, due to reluctance of private information sharing, ranging from negotiations as simple as pie splitting, to inter-firm and international negotiations.
Unsal, H I (2010) Modeling the hold-up problem and absorptive capacity of project networks, Unpublished PhD Thesis, , Columbia University.
Wang, W (2010) Multivariate stochastic copula-based deterioration models in infrastructure economic risk management, Unpublished PhD Thesis, , Columbia University.