사회 연결망 분석 기반 자료포락분석 순위 결정 기법간 비교와 한계 극복 방안에 대한 연구

• 영문명: Comparison between Social Network Based Rank Discrimination Techniques of Data Envelopment Analysis: Beyond the Limitations
• 발행기관: 한국IT서비스학회
• 저자명: 강희재
• 간행물 정보: 『한국IT서비스학회지』제22권 제1호, 57~74쪽, 전체 18쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2023.02.28

영문 초록

It has been pointed out as a limitation that the rank of some efficient DMUs(decision making units) cannot be discriminated due to the relativity nature of efficiency measured by DEA(data envelopment analysis), comparing the production structure. Recently, to solve this problem, a DEA-SNA(social network analysis) model that combines SNA techniques with data envelopment analysis has been studied intensively. Several models have been proposed using techniques such as eigenvector centrality, pagerank centrality, and hypertext induced topic selection(HITS) algorithm, but DMUs that cannot be ranked still remain. Moreover, in the process of extracting latent information within the DMU group to build effective network, a problem that violates the basic assumptions of the DEA also arises. This study is meaningful in finding the cause of the limitations by comparing and analyzing the characteristics of the DEA-SNA model proposed so far, and based on this, suggesting the direction and possibility to develop more advanced model. Through the results of this study, it will be enable to further expand the field of research related to DEA.

목차

1. 서론

2. 이론적 배경

3. DEA-SNA모델

4. 실증 검증

5. 결론

참고문헌

키워드

Data Envelopment Analysis(DEA) Social Network Analysis(SNA) Rank Discrimination Network Centrality HITS Algorithm