Recently, various kinds of governmental funds have been committed to small and medium enterprises in Korea, but their effects have been reported to be quite controversial. In order to manage such governmental funds effectively, feedback information obtained from the rigorous evaluation procedure of government investments needs to be utilized for future selection of new projects. In this paper we provide the performance evaluation model for such funds using the decision tree of data envelopment analysis (DEA) results. Both financial and non-financial variables are used as outputs for DEA of small and medium enterprises which have received the funds where the amount of funds and a frequency of investment are used as inputs. We then train the decision tree by relating the characteristics of the enterprises with the DEA results. The decision tree results can provide valuable feedback information for the effective management of governmental funds.
Bibliographical noteFunding Information:
This work was supported by grant No. R04-2002-000-20003-0 from the Basic Research Program of the Korean Science & Engineering Foundation.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Artificial Intelligence