排名(信息检索)
成本估算
控制(管理)
范围(计算机科学)
成本工程
选择(遗传算法)
工程类
风险分析(工程)
独创性
要素成本
相关成本
成本效益
运筹学
运营管理
计算机科学
业务
经济
系统工程
定性研究
机器学习
人工智能
宏观经济学
程序设计语言
社会学
社会科学
作者
Adekunle Sabitu Oyegoke,Robert Powell,Saheed Ajayi,Godawatte Arachchige Gimhan Rathnagee Godawatte,Temidayo O. Akenroye
标识
DOI:10.1108/jfmpc-07-2020-0050
摘要
Purpose This paper aims to identify and analyse the factors affecting the selection of effective cost control techniques in the UK construction industry and assess their importance. The study examines these key areas; the factors that have significant impacts on cost overruns, the most effective cost control techniques and the factors for selecting cost control techniques for a project. Design/methodology/approach The study relies on a mixed-method research approach; a qualitative exploration of the most effective cost control techniques and the factors affecting the selection of cost control techniques, followed by a questionnaire survey and follow-up interviews. Relative importance index (RII) is used for ranking the factors. Findings The budgeting technique is ranked first with-0.821RII, followed by cost forecasting-0.800RII and cashflow monitoring-00.733RII, as the most effective cost control techniques. On factors that influenced the choice of the techniques used, cost information/cost-related factors are ranked first with-0.611RII, followed by the size of the company-0.509RII and the effectiveness of the technique-0.572RII. Research limitations/implications Although the scope of the study was limited to the UK construction industry, the results could be interpreted for critical learning in other developed/developing countries. Originality/value Identifying and ranking the factors affecting the selection of effective cost control techniques in the UK construction industry has been the focal point of this study. The study also proposes a simple but effective model which can be used for critical learning on mitigating cost overruns and the effective use of cost control techniques in the construction industry.
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