IT중소기업 정부자금지원정책 성과평가를 위한 DEA/(AR-1,ARGM) 모형 설계 및 민감도 분석

Title
IT중소기업 정부자금지원정책 성과평가를 위한 DEA/(AR-1,ARGM) 모형 설계 및 민감도 분석
Other Titles
Design of DEA/(AR-I, ARGM) Models and Sensitivity Analysis for Performance Evaluation on Governmental Funding Projects for IT Small and Medium-sized Enterprises
Author
백동현
Keywords
DEA/(AR-I, ARGM); Efficiency; Governmental Funding Projects; IT Small and Medium-Sized Enterprises; Multipliers Restriction; Performance Evaluation
Issue Date
2008-06
Publisher
대한산업공학회
Citation
대한산업공학회지, v. 34, No. 2, Page. 190-204
Abstract
Recently, it has been strongly required to establish a systematic and sustainable performance investigation and evaluation framework on governmental funding projects for IT small and medium-sized enterprises. In this paper, Data Envelopment Analysis (DEA) models are adopted for performance evaluation on governmental funding projects for IT small and medium-sized enterprises. A new data structure is proposed for the DEA performance evaluation. Generally, in using DEA models, DEA multipliers restriction is critical to achieve the reliability of DEA optimal solutions. Based on the outputs and inputs considered in this study, Acceptance Region (AR) constraints are generated and incorporated into the DEA models so as to improve the reliability of DEA efficiency scores. Associated with AR Type I (AR-I), AR Global Model (ARGM) constraints, DEA/ (AR-I, ARGM) models are designed and then sensitivity analysis follows investigating the robustness of DEA efficiency scores relating to AR constraints adjustment. Finally, a performance evaluation is illustrated regarding governmental direct funding projects from Ministry of Information and Communication (MIC) in Korea where each project unit (i.e. Decision Making Unit (DMU)) is determined whether it is efficient or not. By using DEA/(AR-I, ARGM) models designed in this paper, robustly efficient DMUs are gradually identified according to the successive AR constraints adjustment. Among 25 DMUs, results show that 6 DMUs such as B, E, G, Q, S ,Y are determined as robustly efficient against AR constraints intermediate adjustment.
URI
http://www.dbpia.co.kr/Journal/ArticleDetail/NODE01914583http://repository.hanyang.ac.kr/handle/20.500.11754/104620
ISSN
1225-0988
Appears in Collections:
COLLEGE OF BUSINESS AND ECONOMICS[E](경상대학) > BUSINESS ADMINISTRATION(경영학부) > Articles
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