국방R&D사업 자체평가시스템 메타평가

• 영문명: A Study on the Meta Evaluation for Defense R&D Programs
• 발행기관: 한국산업경영시스템학회
• 저자명: 김순영(Soon Yeong Kim) 하규수(Kyu Soo Ha)
• 간행물 정보: 『산업경영시스템학회지』제32권 제3호, 59~70쪽, 전체 12쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2009.09.30

영문 초록

This study is the result of meta evaluation for the self evaluation of defense R&D programs in Korea by using meta evaluating indicators. The overall meta evaluation result of defense R&D programs gained 74.3 points out of 100, so it was ecaluated as 'Good'. But it demonstrated that further improvement for overall system of defense R&D programs evaluation is required. And especially, it demonstrated that more alternatives are necessary in order to improve the utilizations and the feedbacks of evaluation results. The evaluation context component gained 80.2 points out of 100, so it was evaluated as 'Very Good'. The evaluation input component gained 73.1 points out of 100, so it was evaluated as 'Good'. The evaluation process component gained 74.8 points out of 100, so ti was evaluated as 'Good'. And the evaluation outcome component gained 69.0 points out of 100, so it was evaluated as 'Good'. Basic model of meta evaluation was derrived from the literature review and brain storming. And this meta evaluation model was determined by adopting the result of experts who performed evaluations for defense R&D programs in recent years. The reliability of components and items was verified by Cronbach's a coefficient. It was over 0.6 in evaluation components and items. And the reliability of evaluation context was 0.877, that of evaluation input was 0.755, that of evaluation output was 0.755 respectively. From the analysis, it is attempted to identify possible problems and to find out the ways of improvements related to the self evaluation system of defense R&D programs. The ultimate objective of this study is to manage the programs effectively and improve the reliability and the objectiveness of the defense R&D programs.

키워드

Defense R&D Programs Performance Evaluation Self Evaluation Meta evaluation