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http://dx.doi.org/10.6106/KJCEM.2014.15.5.127

Predicting Project Performance by Analyzing Key Success Factors on Project Fiancing(PF) Development  

Lee, Dong-Gun (Department of Architectural Engineering, Ajou University)
Cha, Hee-Sung (Department of Architectural Engineering, Ajou University)
Publication Information
Korean Journal of Construction Engineering and Management / v.15, no.5, 2014 , pp. 127-137 More about this Journal
Abstract
Project Financing (PF) development project is the type which influences national economy and building industry largely because it is exerted by using borrowed money from many kinds of investors and huge amount of financial raising. Many domestic PF projects are focused mainly on the profit maximization lacking in a sufficient feasibility study. Nowadays many projects are suspending due to the global finance debacle and stagnation of real estate industry. Therefore, in this paper, risk factors of PF project are deducted and Key Success Factors (KSFs) are derived through Factor-Analysis and qualified using Fuzzy-AHP method. And through the evaluation of the derived success factors in real projects, a strong correlationship has been identified between the score of each PF success factor and the level of success and/or expected rate of return (ROR). So, the result of this paper can help decision makers of the PF projects make a better decision and give a meaningful guidance in achieving successful PF projects.
Keywords
Factor Analysis; Fuzzy-AHP; Project Financing; Project Key Success Factor;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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