| Title |
A Study on the Extracting the Core Input and Output Variables in Construction Company using DEA and PCA |
| Authors |
Lee, Kyung-Joo ; Park, Jung-Lo ; Kim, Jae-Jun |
| DOI |
http://dx.doi.org/10.6106/KJCEM.2012.13.5.094 |
| Keywords |
Data Envelopment Analysis ; Principal Component Analysis ; Construction Company ; Efficiency |
| Abstract |
Recently, the global financial crisis and the increasing number of unsold houses in Korea are construction companies to assess their efficiency. The most important factor in analyzing the efficiency of a company is the input-output variable. However, systematic stud the core input-output variables, which have a great influence on the efficiency analysis. Thus, to the core input-output variables for efficiency analysis of construction companies, this study propose a model that includes all combinations of input-output variables and to find the core inputoutput variables using the Data Envelopment Analysis(DEA) model and Principal Component Analysis(PCA). Existing research and theories were studied variables and 21 models were established to measure efficiency. were obtained that the core input and output variable in 2006 the number of employees and sales. For 2008, the core input variable was capital stock and the core output variable was quarterly net profit. For 2010, the core input variable was fixed asset and the core output variable was sales. Through obtaining the variables that greatly affect the efficiency of construction companies, it is considered that individual construction companies will be able to prepare a priority strategy to enhance efficiency. |