Arşiv ve Dokümantasyon Merkezi
Dijital Arşivi

Modeling the project managment performance of construction firms

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dc.contributor Ph.D. Program in Civil Engineering.
dc.contributor.advisor Özorhon, Beliz.
dc.contributor.author Demirkesen Çakır, Sevilay.
dc.date.accessioned 2023-03-16T10:56:46Z
dc.date.available 2023-03-16T10:56:46Z
dc.date.issued 2015.
dc.identifier.other CE 2015 D36 PhD
dc.identifier.uri http://digitalarchive.boun.edu.tr/handle/123456789/14240
dc.description.abstract Construction industry is a complex and fragmented industry. Therefore, well-set project management practices and strategies are needed. For the successful management of construction projects, determination of project management performance is essential. Within this context, this research aims at proposing a project management performance model to measure project management performance of construction rms. In this respect, construction-speci c determinants of project management performance are developed based on the fourteen knowledge areas as set by the PMBOK Guide. Moreover, indicators of performance are also determined. The proposed model comprises 63 parameters associated with performance. The model is composed based on constructing the interrelations among the knowledge areas and the impact of those on project management performance. To test the validity of the proposed measures, a questionnaire survey was designed and administered to construction professionals. 121 responses were collected from di erent construction projects. The data collected was analyzed using structural equation modeling to assess model reliability. Based on the analysis results, it was found that project integration, communications, safety, risk, human resource, nancial, and cost management have direct whereas scope and time management have indirect and signi cant e ect on performance. On the other hand, the e ects of project claim, environmental, quality, procurement, and stakeholder on performance were not found signi cant. Furthermore, the relation between project cost and quality management was also found insigni cant. This research is expected to help construction project managers devise and implement strategies and develop actions to improve project success.
dc.format.extent 30 cm.
dc.publisher Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015.
dc.subject.lcsh Engineering firms -- Management.
dc.title Modeling the project managment performance of construction firms
dc.format.pages xix, 219 leaves ;


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