Browse > Article
http://dx.doi.org/10.6106/KJCEM.2014.15.2.095

An Analysis of Profitability Study of Overseas Construction Projects using Multiple-Regression  

Kim, Jineon (Department of Highrise and Long-bridge Engineering, Sungkyunkwan University)
Kim, Yeasang (Department of Architectural.Civil Engineering, Sungkyunkwan University)
Publication Information
Korean Journal of Construction Engineering and Management / v.15, no.2, 2014 , pp. 95-103 More about this Journal
Abstract
From $1960^{th}$ Korean construction industry has been rapidly grown due to Meddle-East construction market growth. To earn foreign currency and to raise overall Korean industry government has encouraged construction frontiers. As construction industry could grow up for its labour based originity but the time passes by and overseas construction market requests engineering know-how and technology for productivity to earn more profit. Over last 20 years overseas construction market share has been dramatically raised but its profit share is gradually declining. This study analyzed data sets of over 180 overseas construction projects for last 30 years of domestic contractor by using multiple-regression analysis and derived an output how input variables of characters explaining the construction project effects its profit.
Keywords
Project Characteristics; Profitability; Multiple-regression; Construction Statistics;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Ko W., (2011). "Analyzing Social Science Datum using sequential data input of SPSS", Professor, Dept. of Computer Statistics, Honam University.
2 Cho Y., Cha H. (2012). "A Study of Project Characteristics and Project Performance Level of difficulty ", Korean journal of Construction Engineering and Management, KICEM, 11(6), pp. 81-84.
3 Choi R. (2011). "A Multiple Regression Analysis on Developing the Profitability Model of Local Cultural Festivals ", Journal of the Korea society of computer and information, 16(10).
4 Kwak S., Han S. (2009). "Cost Prediction Models in the Early Stage of the Roadway Planning and Designbased on Limited Available Information ", Korean journal of Construction Engineering and Management, KICEM, 10(4), pp. 90-98.
5 Lee B., Kim J. (2012). "(An) analysis on the factors affecting the REITs returns using the regression analysis : focused on office building investment", Dept. of Sustainable Architectural Engineering, The Graduate School, Hanyang University.
6 Lowe D. J., Emsley M. W., Harding A., (2006). "Predicting Construction Cost Using Multiple Regression Techniques", Journal of Construction Engineering and Management, ASCE.
7 Mahamid I. (2011). "Early cost estimating for road construction projects using multiple regression techniques", Australasia Journal of Construction Economics and Building, 11(4) p. 87-101.   DOI
8 Sun S., Han S. (2003). "(A) study on the hierarchical structures of cause-and-effect on the profit factors in overseas construction projects", Dept. of Civil Engineering, Graduate School, Yonsei University.