Abstracts – Browse Results
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Abbiasov, T (2021) Essays in Urban Economics, Unpublished PhD Thesis, , Columbia University.
Asgari, S (2016) Modeling construction competitive bidding: An agent-based approach, Unpublished PhD Thesis, , Columbia University.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system (NDCON): System design and performance modeling through the zero -buffered project management philosophy, Unpublished PhD Thesis, , Columbia University.
Chen, S-M (2002) Intelligent scheduling model and multi-dimensional CM information system, Unpublished PhD Thesis, , Columbia University.
Chiara, N (2006) Real option methods for improving economic risk management in infrastructure project finance, Unpublished PhD Thesis, , Columbia University.
Fitch, G J (2019) System dynamics models for the valuation of real options in infrastructure investments, Unpublished PhD Thesis, , Columbia University.
Gerstenberger, A J (2021) Modeling the likelihood of construction incidents using public data, Unpublished PhD Thesis, , Teachers College, Columbia University.
Gocmen, F C (2014) Infrastructure scaling and pricing, Unpublished PhD Thesis, , Columbia University.
He, Y (2006) Earthquake loss and risk estimation of buildings by Monte Carlo simulation, Unpublished PhD Thesis, , Columbia University.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cost performance: A comprehensive approach using statistical, artificial neural network and simulation methods, Unpublished PhD Thesis, , Columbia University.
Kokkaew, N (2010) Risk flexibility analysis in infrastructure project finance, Unpublished PhD Thesis, , Columbia University.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and cost analysis: Three-dimensional computer models with integrated databases in the management of construction, Unpublished PhD Thesis, , Columbia University.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assessment framework for financing public-private partnership infrastructure projects through asset-backed security, Unpublished PhD Thesis, , Columbia University.
Silver, M L (1981) Craft production: Work and alienation in the construction industry, Unpublished PhD Thesis, , Columbia University.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insurance as a risk management tool for alternative dispute resolution (ADR) implementation in construction disputes, Unpublished PhD Thesis, , Columbia University.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.
- Type: Thesis
- Keywords: competitive bidding; market; market conditions; profit maximization; bidding; marketing; pricing; selection criteria; probability; market condition; owner; bidding model; interview
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/275864529
- Abstract:
This dissertation is a unique treatment of competitive bidding theory. The methodology presented here utilizes an established marketing research methodology, Conjoint analysis, to establish the probability of winning based on multiple factors. This hybrid model, Value-Bidding, refocuses the competitive bidding model from fee-based selection criteria to value-based selection criteria. The resulting analytical model enables engineers to analyze market conditions, evaluate owner's priorities, systematically track competitors, and optimize job proposals, while maximizing the probability of winning, maximizing profit and optimizing price. Traditionally, competitive bidding theory models the lowest-bidder-wins scenario, and the probability of winning is based on the probability that the bidder's price is lower than the competitors. (Friedman, 1956; Gates, 1967) Though this is a reasonable model for construction services, the fee-based competitive bidding models are not applicable for engineering design services. The selection criteria for engineer services often involves several factors, such as quality, availability, reputation, resume and references, and may or may not include price. From preliminary interviews, the author concluded that there is a need for a systematic method of evaluating potential engineering job opportunities and determining fair market prices. The goal of this dissertation is to inject science into the art of pricing engineering services. Value-Bidding is broad in scope and can address the process of selling multi-faceted services or products in a competitive environment. Value-Bidding supports the: (1) Definition of services; (2) Evaluation of potential competitors; (3) Evaluation of the probability of winning. The result of this research can support broad business decisions or service, product and price development for individual job proposals. In addition, the Value-Bidding methodology helps engineers optimize their technical and price proposals to meet business objectives, such as profit maximization or market expansion.
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.
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.