Predicting the performance of traditional general contract projects: A neural network based approach

• 主要な著者: Mohamad Zin, Rosli, Mansur, S. A., Bakri, A., Tan, Caren Cai Loon
• フォーマット: Conference or Workshop Item
• 言語: English
• 出版事項: 2006
• 主題: TA Engineering (General). Civil engineering (General)
• オンライン･アクセス: http://eprints.utm.my/id/eprint/549/1/RosliMohamadZin2006_Predictingtheperformanceoftraditionalgeneral.pdf; http://eprints.utm.my/id/eprint/549/; http://civil.utm.my/apsec2015/

Several studies had shown that many project managers are facing difficulties in predicting the performance of Traditional General Contract (TGC) projects. This is due to the fact that there are many factors that affect TGC project success. This paper presents the TGS project success factors that hav...