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dc.contributor.advisorFord, David
dc.creatorBhargav, Shilpa Anandrao
dc.date.accessioned2005-02-17T21:01:58Z
dc.date.available2005-02-17T21:01:58Z
dc.date.created2004-12
dc.date.issued2005-02-17
dc.identifier.urihttps://hdl.handle.net/1969.1/1455
dc.description.abstractThe cost of construction projects depends on their size, complexity, and duration. Construction management applies effective management techniques to the planning, design, and construction of a project from conception to completion for the purpose of controlling time, cost and quality. A real options approach in construction projects, improves strategic thinking by helping planners recognize, design and use flexible alternatives to manage dynamic uncertainty. In order to manage uncertainty using this approach, it is necessary to value the real options. Real option models assume independence of option holder and the impacts of underlying uncertainties on performance and value. The current work proposes and initially tests whether project management reduces the value of real options. The example of resource allocation is used to test this hypothesis. Based on the results, it is concluded that project management reduces the value of real options by reducing variance of the exercise signal and the difference between exercise conditions and the mean exercise signal.en
dc.format.extent861936 bytesen
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.subjectreal option valuationen
dc.subjectproject managementen
dc.subjectuncertaintyen
dc.titleImpacts of project management on real option valuesen
dc.typeBooken
dc.typeThesisen
thesis.degree.departmentCivil Engineeringen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberHorlen, Joe
dc.contributor.committeeMemberAnderson, Stuart
dc.type.genreElectronic Thesisen
dc.type.materialtexten
dc.format.digitalOriginborn digitalen


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