Theses from USA - Clemson University
Almazkoor, F B (2014) Two-stage methodology for managing and controlling material flow between multiple construction projects. PhD thesis, Clemson University, USA.
Altayeb, S A (1990) Drug testing and its impact on the incident rate in the construction industry. PhD thesis, Clemson University, USA.
Back, W E (1994) Quantifying benefits of electronic technology applied to bulk materials management. PhD thesis, Clemson University, USA.
Bhanu, A C (2024) Integrating artificial intelligence and augmented reality for enhanced task performance in the construction industry. PhD thesis, Clemson University, USA.
Carpenter, N (2014) Comparison of the design-bid-build and construction manager at risk project delivery methods utilized for the construction of public schools. PhD thesis, Clemson University, USA.
Cole, B K (2012) Building social infrastructure through public-private partnerships: The case of student housing in public higher education. PhD thesis, Clemson University, USA.
Farrington, J J (1987) A methodology to identify and categorize costs of quality deviations in design and construction. PhD thesis, Clemson University, USA.
George, R (2007) Information flow to support front end planning. PhD thesis, Clemson University, USA.
Glagola, C R (1993) A model of current quality performance measurements for industrial construction. PhD thesis, Clemson University, USA.
Hassan, Fahad Ul (2022) Digitalization of construction project requirements using natural language processing (NLP) techniques. PhD thesis, Clemson University, USA.
Howard, W E (1996) Innovative strategies for compensation of engineering and construction contractors. PhD thesis, Clemson University, USA.
Jadhav, Ajay (2023) Development of scope of services for procurement of professional consultant services on transportation projects: A study of South carolina department of transportation. PhD thesis, Clemson University, USA.
Jonnalagadda, S (2016) Artificial neural networks, non linear auto regression networks (NARX) and causal loop diagram approaches for modelling bridge infrastructure conditions. PhD thesis, Clemson University, USA.
Kistler, L (2024) Engineering team success: Evaluating perceptions of teamwork processes and emergent states effects on team outcomes. PhD thesis, Clemson University, USA.
Lu, Na (2007) Investigation of designers' and general contractors' perceptions of offsite construction techniques in the United States construction industry. PhD thesis, Clemson University, USA.
Nguyen, Thinh Tan (2025) Accident data analytics and AI-based auditory enhancement for highway construction safety. PhD thesis, Clemson University, USA.
Nikyema, G A B (2020) Barriers to the adoption of green building materials and technologies in developing countries: The case of Burkina Faso. PhD thesis, Clemson University, USA.
Oswald, T H (1995) A model for using quality function deployment in engineering project development. PhD thesis, Clemson University, USA.
Plemmons, J K (1995) Materials management process measures and benchmarking in the industrial construction industry. PhD thesis, Clemson University, USA.
Plumblee II, J M (2013) Incorporating natural hazard resistance into the life cycle assessment framework. PhD thesis, Clemson University, USA.
Prince, J R (2004) Evaluating the impact of onsite design on project performance. PhD thesis, Clemson University, USA.
Rockow, Z R (2020) Qualitative & quantitative analyses of existing buildings’ adaptability. PhD thesis, Clemson University, USA.
Shealy III, E W (2015) Decision environments to encourage more sustainable infrastructure outcomes. PhD thesis, Clemson University, USA.
Skipper, C O (2004) An analysis of leadership behaviors in the construction industry: Identification of influences that develop top performing project managers and engineers. PhD thesis, Clemson University, USA.
Valdes-Vasquez, R (2011) Social sustainability considerations during planning and design: A framework of processes for construction projects. PhD thesis, Clemson University, USA.
Wafa, M A (1986) An investigation into the factors influencing the success of decision support systems in the construction industry. PhD thesis, Clemson University, USA.
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