Memon Aftab Hameed, Rahman Ismail Abdul
Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400 Batu Pahat, Johor, Malaysia.
ScientificWorldJournal. 2014 Feb 13;2014:165158. doi: 10.1155/2014/165158. eCollection 2014.
This study uncovered inhibiting factors to cost performance in large construction projects of Malaysia. Questionnaire survey was conducted among clients and consultants involved in large construction projects. In the questionnaire, a total of 35 inhibiting factors grouped in 7 categories were presented to the respondents for rating significant level of each factor. A total of 300 questionnaire forms were distributed. Only 144 completed sets were received and analysed using advanced multivariate statistical software of Structural Equation Modelling (SmartPLS v2). The analysis involved three iteration processes where several of the factors were deleted in order to make the model acceptable. The result of the analysis found that R(2) value of the model is 0.422 which indicates that the developed model has a substantial impact on cost performance. Based on the final form of the model, contractor's site management category is the most prominent in exhibiting effect on cost performance of large construction projects. This finding is validated using advanced techniques of power analysis. This vigorous multivariate analysis has explicitly found the significant category which consists of several causative factors to poor cost performance in large construction projects. This will benefit all parties involved in construction projects for controlling cost overrun.
本研究揭示了马来西亚大型建筑项目成本绩效的抑制因素。对参与大型建筑项目的客户和顾问进行了问卷调查。问卷中向受访者列出了总共35个抑制因素，分为7类，让他们对每个因素的显著程度进行评分。共发放了300份问卷。仅收到144份完整问卷，并使用结构方程建模的高级多元统计软件（SmartPLS v2）进行分析。分析涉及三个迭代过程，在此过程中删除了几个因素以使模型可接受。分析结果发现，该模型的R(2)值为0.422，这表明所开发的模型对成本绩效有重大影响。基于模型的最终形式，承包商的现场管理类别在对大型建筑项目成本绩效的影响方面最为突出。这一发现通过高级功效分析技术得到了验证。这种有力的多元分析明确找到了由几个导致大型建筑项目成本绩效不佳的因素组成的显著类别。这将有利于建筑项目中所有参与方控制成本超支。
