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Abdelaty, A F A (2017) Data-driven algorithms for enhanced transportation infrastructure asset management, Unpublished PhD Thesis, , Iowa State University.
Al Shalabi, F A (2016) BIM framework for energy and maintenance performance assessment for facility management, Unpublished PhD Thesis, , Iowa State University.
AlBughdadi, A J M (2022) Advanced decision support tools for bridge asset management, Unpublished PhD Thesis, , Iowa State University.
Azmy, N (2012) The role of team effectiveness in construction project teams and project performance, Unpublished PhD Thesis, Civil, Construction, and Environmental Engineering, Iowa State University.
Barbosa Resende, C (2021) Post-construction evaluation for work zones and construction engineers' training, Unpublished PhD Thesis, Civil, Construction, and Environmental Engineering, Iowa State University.
Barutha, P J (2018) Integrated project delivery for industrial projects, Unpublished PhD Thesis, , Iowa State University.
Canales Fernandez, A R (2004) Developing effective integration between American supervisors and hispanic craft workers in construction, Unpublished PhD Thesis, , Iowa State University.
Christensen, A N (2019) Identifying private construction project owner inefficiencies that affect project goals, Unpublished PhD Thesis, , Iowa State University.
El-adaway, I H (2008) Construction dispute mitigation through multi-agent based simulation and risk management modeling, Unpublished PhD Thesis, , Iowa State University.
Elmisalami, T E (2001) Developing a multi-attribute utility model (MAUM) for selecting information technologies in the construction industry, Unpublished PhD Thesis, , Iowa State University.
Enz, D L (2009) Construction project administration and management for mitigating work zone crashes and fatalities: An integrated risk management model, Unpublished PhD Thesis, , Iowa State University.
Gad, G M (2012) Effect of culture, risk, and trust on the selection of dispute resolution methods in international construction contracts, Unpublished PhD Thesis, , Iowa State University.
- Type: Thesis
- Keywords: culture; market; trust; construction project; international firms; specifications; standards; arbitration; contract formation; developing countries; dispute resolution; international construction project; litigation; markets; negotiation; productivity; re
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/1022973160
- Abstract:
International construction projects provide opportunities for developing countries to advance in the global economy, and for international firms to increase their profit and market share. Despite the attractive opportunities that international construction offers, there are many challenges and difficulties when moving into international markets. These include the many risks associated with differences in culture, economic conditions, specifications/standards, legal frameworks, exchange rates regulations, and productivity levels. All these aspects affect the way contract clauses are drafted, including the dispute resolution clause. Since many risks are associated with international construction, whether external or project-specific risks, the different cultures the company needs to deal with and manage, and the level of trust the international parties share, it becomes necessary to choose an appropriate dispute resolution method (DRM), depending on the conditions for each project. The objectives of this study are to identify factors that have an effect on the choice of DRMs in international construction contracts and to recommend specific DRMs to contractors based in English-speaking countries, who plan to operate in the Middle East or Asia. In this research, a concurrent mixed-method design is employed. Factors affecting the choice of DRMs and the effect of culture, risk, and trust on the current choice of DRMs are investigated, using a quantitative method--surveys. In addition, a Delphi technique is used to obtain the views of experts on factors to consider when choosing a DRM in an international contract and on the effects of culture, risk, and trust. Results from this study show the first two factors affecting the choice of DRMs from both industry and experts' perspectives are related to the country of operation and culture. Both culture and risk, do not have a statistically significant effect on choice of DRMs, while trust does. Arbitration is the most recommended DRM in all project conditions, except in projects with high trust between contracting parties where negotiation is the most recommended. Non-amicable DRMs, such as litigation, mini-trial, and summary jury trial are the least recommended methods. From the results obtained, a DRM-Culture Risk Trust (DRM-CRT) model is developed to assist international contractors from English speaking countries planning to operate in the Middle East or Asia in the choice of the appropriate DRMs during contract formation; given identified culture characteristics, trust levels, and risk factors.
Gao, Z (2004) Investigation of technologies to improve the visualization of design documents and construction process, Unpublished PhD Thesis, Civil, Construction, and Environmental Engineering, Iowa State University.
Harmelink, D J (1995) Linear scheduling model: The development of a linear scheduling model with microcomputer applications for highway construction project control, Unpublished PhD Thesis, , Iowa State University.
Kaewmoracharoen, M (2009) Feasibility of visualization and simulation applications to improve work zone safety and mobility, Unpublished PhD Thesis, Civil, Construction, and Environmental Engineering, Iowa State University.
Kawal, D E (1970) A systems model of a construction firm, Unpublished PhD Thesis, , Iowa State University.
Lueth, P L O (2008) The architectural design studio as a learning environment: A qualitative exploration of architecture design student learning experiences in design studios from first- through fourth-year, Unpublished PhD Thesis, , Iowa State University.
Mahfouz, T S (2009) Construction legal support for differing site conditions (DSC) through statistical modeling and machine learning (ML), Unpublished PhD Thesis, , Iowa State University.
McCann, M (1986) An application of convex programming to construction scheduling, Unpublished PhD Thesis, Industrial and Manufacturing Systems Engineering, Iowa State University.
Mohd Zainudin, N (2019) Identification and analysis of worker safety hazards in Midwest agribusiness construction work sites, Unpublished PhD Thesis, Agricultural and Biosystems Engineering, Iowa State University.
Nahvi, A (2019) Integrated stochastic economics performance evaluation of horizontal infrastructure systems, Unpublished PhD Thesis, , Iowa State University.
Pinto Nunez, M D C (2017) Comprehensive partnering management model for highway construction projects delivered using traditional and alternative methods, Unpublished PhD Thesis, , Iowa State University.
Rahbar, F (1997) Computer-aided parametric planning (CAPP), Unpublished PhD Thesis, , Iowa State University.
Rueda-Benavides, J A (2016) Indefinite delivery/indefinite quantity project selection framework using stochastic techniques, Unpublished PhD Thesis, , Iowa State University.
Shrestha, K P (2016) Data analytics and visualization for enhanced highway construction cost indexes and as-built schedules, Unpublished PhD Thesis, , Iowa State University.
Sirotiak, T L (2008) The effect of problem/project-based learning on a desired skill set for construction professionals, Unpublished PhD Thesis, , Iowa State University.
Smadi, O G (2000) Knowledge-based expert system pavement management optimization, Unpublished PhD Thesis, , Iowa State University.
Talbot, J (2021) Understanding housing reconstruction in Puerto Rico after hurricanes Irma and Maria, Unpublished PhD Thesis, , Iowa State University.
Tapia, R M (2017) Linear scheduling and procurement tools to manage geotechnical risk in design-build construction projects, Unpublished PhD Thesis, Civil, Construction, and Environmental Engineering, Iowa State University.
Woldesenbet, A (2014) Highway infrastructure data and information integration & assessment framework: a data-driven decision-making approach, Unpublished PhD Thesis, Civil, Construction, and Environmental Engineering, Iowa State University.