.png){kind=icon}
返回
A theoretical framework for classifying project complexity at the preconstruction stage using cluster analysis techniques
.png){kind=icon}
PRE
AI
DOI：10.1108/ECAM-09-2020-0726.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
PurposeThe accuracy and reliability of subjectively assessing a construction project's complexity at the pre-construction stage is questionable and relies upon the project manager's tacit experiences, knowledge and background. The purpose of this paper is to develop a scientifically robust analytical approach by presenting a novel classification mechanism for defining the level of project complexity in terms of work contents (WCs), scope, building structures (BSs) and site conditions.Design/methodology/approachEmpiricism is adopted to deductively analyze variables obtained from secondary data within extant literature and primary project data to develop project type classifications. Specifically, and from an operational perspective, a two-stage waterfall process was adopted. In stage one, the research identified 56 variables affecting project complexity from literature and utilized a structured questionnaire survey of 100 project managers to measure the relevance of these. A total of 27 variables were revealed to be significant and exploratory factor analysis (EFA) is adopted to cluster these variables into six-factor thematic groups. In stage two, data from 62 real-life projects (including the layout and structural plans) were utilized for computing the factor score using the six-factor groups. Finally, hierarchical cluster analysis (HCA) is adopted to classify the projects into collected distinctive groups and each of a similar nature and characteristics.FindingsThe developed theoretical framework (that includes a novel complex index) provides a robust blueprint platform for main contractors to compile their project complexity database. The research outputs enable project managers to generate a more accurate picture of complexity at the pre-construction stage.Originality/valueWhile numerous research articles have provided a comprehensive framework to define project complexity, scant empirical works have assessed it at the pre-construction stage or utilized real-life project samples to classify it. This research addresses this knowledge gap within the prevailing body of knowledge.
Keyword:
Construction project complexity
Clustering analysis
Staffing allocation
Pre-construction stage
期刊
J
IF:
5.1
论文数:
5.1K
被引数:
1.4W
机构
引用论文
Using a Delphi process and the Analytic Hierarchy Process (AHP) to evaluate the complexity of projects使用德尔菲法和层次分析法 (AHP) 评估项目的复杂性
OAAI
OAAI分享收藏Isolation and characterization of a wheat F8-1 homolog required for physiological male sterility induced by a chemical hybridizing agent (CHA) SQ-1.png)
Euphytica
EuphyticaIF0
PREAI
分享收藏分享收藏
分享收藏
查看更多内容