In Korea, liquidity problem is a major setback for many small and medium companies with great degree of growth potential in technology. In order to support such companies, Technology Credit Guarantee Fund has been established. A credit guarantee is given to the companies, which obtained a high score by a technology evaluation model so that they can get loan from the several financial institutes. Therefore, critical loss would occur when an inadequate evaluation model is used. In this study, we examine the existing scoring model with many attributes and provide an improved version which eliminates the multicollinearity. The proposed approach is expected to provide valuable information for the effective management of the various technology funds.
|Number of pages||5|
|Journal||Expert Systems with Applications|
|Publication status||Published - 2005 Feb|
Bibliographical noteFunding Information:
So Young Sohn's research was funded by LG Yonam Foundation. The authors would like to thank Professor David Hand at Imperial College, London, and Mr Jung Jin Song (KOTEC) for the helpful discussions. This investigation was performed using the part of comprehensive data accumulated by KOTEC during the process of technology evaluation. We gratefully acknowledge generous supply of comprehensive data from KOTEC.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Artificial Intelligence