Quantifying combination effects of project management practices on cost performance

This paper presents an analysis method that quantifies the relationship between project management practices and the cost performance of construction projects. The analysis method includes a series of analysis procedures and methods: data measurement and transformation, contingency table analysis, l...

Full description

Saved in:
Bibliographic Details
Published in:KSCE journal of civil engineering 2017, 21(3), , pp.603-615
Main Authors: Suk, Sung Joon, Chi, Seokho, Mulva, Stephen P., Caldas, Carlos H., An, Sung-Hoon
Format: Article
Language:English
Subjects:
Analysis
Civil Engineering
Construction industry
Construction Management
Contingency
Cost analysis
Cost engineering
Engineering
Geotechnical Engineering & Applied Earth Sciences
Industrial Pollution Prevention
Logistics
Management
Project engineering
Project management
Regression
Regression analysis
Statistical analysis
Statistical methods
Tables (data)
Transformations
토목공학
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents an analysis method that quantifies the relationship between project management practices and the cost performance of construction projects. The analysis method includes a series of analysis procedures and methods: data measurement and transformation, contingency table analysis, logistic regression, and a composite index. Step-by-step analysis procedures and methods are described along with the data obtained from 143 owner projects to examine the effect of nineteen project management practices on cost performance. The analysis method uncovers the minimum implementation levels of project management practices for better cost performance, and quantifies the combined effects of project management practices on cost performance varied by their implementation levels. The analysis results generate specific and quantitative information used in implementing project management practices for better cost performance. This information will help practitioners achieve improved cost performance in the most effective and efficient way. The analysis method designed with a series of statistical methods makes it possible to produce useful quantitative information for the implementation of project management practices.
ISSN:1226-7988
1976-3808
DOI:10.1007/s12205-016-0499-0