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Bellizzi, J A (1978) A multivariate analysis of buying in the commercial construction industry, Unpublished PhD Thesis, , University of Nebraska - Lincoln.

Dong, S (2012) A single element based modeling approach for simulating construction operations, Unpublished PhD Thesis, , University of Nebraska - Lincoln.

Haar, B W (1983) Collusion in the highway construction industry: Economic evidence as an investigative tool, Unpublished PhD Thesis, , The University of Nebraska - Lincoln.

  • Type: Thesis
  • Keywords: collusion; market; economic theory; highway; bidding; government; markets; purchasing
  • ISBN/ISSN:
  • URL: https://www.proquest.com/docview/303270148
  • Abstract:
    Collusion in sealed-bid markets produces bidding patterns that will differ from those generated under comparable but competitive circumstances. The primary purpose of this study is to determine whether state purchasing records contain significant evidence of collusion among firms bidding for public asphalt paving contracts in Minnesota. It also seeks to ascertain what support, if any, economic theory provides for the assertion that collusion may be present in the sealed-bid markets for highway construction; whether purchase records of government bodies can be used to identify possible anti-competitive practices in sealed-bid markets; and, whether the evidence produced by the analysis of these records, with respect to Minnesota, is sufficient to justify a more detailed follow-up investigation by state antitrust authorities. In this study a theoretical profile of a "collusion prone" industry is developed and used to evaluate the public sealed-bid market for asphalt paving services in Minnesota. Collusion in this industry is found not only possible, but probable. This part of the research also includes an industry study of asphalt paving services in Minnesota as well as a discussion of how sealed-bidding procedures may inherently facilitate collusion. Minnesota Department of Transportation purchasing records for the years 1977 through 1980 are analyzed with the aid of a multi-stage technique designed to detect bidding patterns which may reflect the presence of collusion. While the results of this analysis generally show rivalry in the industry to be robust, nevertheless, there are traces of possible collusion in several bidding patterns, and, in those instances, follow-up investigation is recommended.

Habibnezhad, M (2019) The impact of extreme virtual elevation above grade on construction workers' physiological responses, physical responses, and task performance, Unpublished PhD Thesis, , University of Nebraska - Lincoln.

Hazrati, A (2016) Predicting construction labor productivity with Bayesian belief networks, Unpublished PhD Thesis, , University of Nebraska - Lincoln.

Kirk, W M (2000) Cognitive processes in leadership in relationship to the effectiveness of construction project managers, Unpublished PhD Thesis, , The University of Nebraska - Lincoln.

Kisi, K P (2015) Estimation of optimal productivity in labor-intensive construction operations, Unpublished PhD Thesis, , University of Nebraska - Lincoln.

Mani, N (2015) A framework for estimating labor productivity frontiers, Unpublished PhD Thesis, , University of Nebraska - Lincoln.

Meadati, P K (2007) Integration of construction process documents into building information modeling, Unpublished PhD Thesis, , University of Nebraska - Lincoln.

Moussavi, S (2023) Integration of environmental sustainability and decision making: Case studies of civil infrastructure, Unpublished PhD Thesis, , The University of Nebraska - Lincoln.

Thompson, M J (2023) Environmental Sustainability of Small Wastewater Treatment Systems and Pathways for Improvement, Unpublished PhD Thesis, , University of Nebraska - Lincoln.

Yang, K (2018) Sensing workers' responsive behaviors for identifying safety hazards in construction, Unpublished PhD Thesis, , University of Nebraska - Lincoln.