Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Optimized Growth Curve for Estimating Performance Measurement Baseline Depended on Domestic Construction Facility Type

Authors
Kim, Chang-WonKim, TaehoonYoo, Wi SungCho, HunheeKang, Kyung-In
Issue Date
8월-2018
Publisher
KOREAN SOCIETY OF CIVIL ENGINEERS-KSCE
Keywords
performance measurement baseline; progress; growth curve; construction facility type
Citation
KSCE JOURNAL OF CIVIL ENGINEERING, v.22, no.8, pp.2691 - 2701
Indexed
SCIE
SCOPUS
KCI
Journal Title
KSCE JOURNAL OF CIVIL ENGINEERING
Volume
22
Number
8
Start Page
2691
End Page
2701
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/73871
DOI
10.1007/s12205-017-0180-2
ISSN
1226-7988
Abstract
This study describes an optimized growth curve for quantitatively estimating performance measurement baseline according to domestic construction facility types. The proposed curves is derived using the progress information of the 19 listed construction companies through the electronic disclosure system provided by the Financial Supervisory. The procedures of this study consisted of the following steps; (1) performing a preliminary review on the outline of a data collection, classification of construction facilities, and growth curve and regression used to derive the proposed curves; (2) presenting data collection, refining and preprocessing procedures; (3) deriving and verifying of the optimized model for domestic construction facility types; and (4) analyzing and discussing the results of considering the inherent characteristics of each facility type. Overall, the proposed curves were statistically significant, and found to be able to explain about 77% or more of the actual progress. The results of this study is expected to be used as an alternative to estimate the performance measurement baseline objectively in the context of domestic construction industry which is difficult to gather reliable data on various indicators to set baseline and calculate the standard progress by trial and error method.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Civil, Environmental and Architectural Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Cho, Hun Hee photo

Cho, Hun Hee
공과대학 (건축사회환경공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE