• 한국도서관정보학회지
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• 제40권1호
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• pp.253-274
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• 2009

효율성은 산출물의 가치와 그 산출물의 생산과정에서 소요되는 투입물가치의 비율로 나타낸다. DEA모형은 효율성을 여러 가지 투입물의 가중평균에 대한 산출물 가중평균의 비율로 표시하며, 특정 의성결정단위의 효율성을 유사한 투입 산출구조를 가지는 준거집단과 비교함으로써 상대적인 측면에서 측정하는 방법이다. 본 연구는 DEA모형을 이용하여 국립대학도서관의 효율성과 효율성 개선에 관한 분석을 시도하였다. 투입변수로는 직원수, 시설면적, 예산, 장서량을 사용하였고, 산출변수로는 자료실이용자수, 대출책수, 상호대차이용건수를 사용하였다. 그 결과 전국 26개의 국립대학도서관 중 효율적인 도서관은 2007년, 2006년, 2005년에 각각 10개, 9개, 9개로 나타났다. 또한 비효율적인 국립대학도서관의 경우 투입물을 줄이고, 산출물을 늘여야 할 정보들을 제시하였다.

• 한국콘텐츠학회논문지
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• 제21권11호
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• pp.361-374
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• 2021

본 연구의 목적은 혁신형제약기업 인증 기업을 대상으로, 기술혁신활동에 대한 효율성과 생산성을 분석하여 경쟁력을 진단하고 강화 방안을 도출하는 것이다. 이를 위해 38개 혁신형제약기업에 대한 2017~2019년 동안의 투입(연구개발비, 종업원 수) 및 산출(매출, 영업이익, 특허) 데이터를 수집하여, DEA, Tobit 및 MPI를 실시하였다. 그 결과 첫째, 혁신형제약기업의 DEA 결과는 규모의 효율성을 보여주는 CCR 모형 값과 내부 운영 효율성을 나타내는 BCC 모형 값 간에 차이가 있었다. 둘째, 효율성은 기업의 특성에 따라 다르지 않았다. 셋째, Tobit 모형은 보유특허수가 효율성에 긍정적인 영향을 미치는 것으로 나타났다. 넷째, 전체 MPI는 0.89로, 이는 TECI가 3%p 감소하고 TCI가 4%p 증가한 것으로 해석할 수 있다. 본 연구의 결과는 비효율의 원인을 규명하고 목표값을 제시하여 효율성 향상을 위한 대응전략을 위한 의사결정 자료로 활용할 수 있다.

• 상하수도학회지
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• 제29권3호
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• pp.395-406
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• 2015

This research carried out an analysis on input cost and leakage reduction effect by leakage reduction method, focusing on the project for establishing an optimal water pipe network management system in the Taebaek region, which has been executed annually since 2009. Based on the result, optimal cost-benefit analysis models for water distribution network rehabilitation project were developed using DEA(data envelopment analysis) and multiple regression analysis, which have been widely utilized for efficiency analysis in public and other projects. DEA and multiple regression analysis were carried out by applying 4 analytical methods involving different ratios and costs. The result showed that the models involving the analytical methods 2 and 4 were of low significance (which therefore were excluded), and only the models involving the analytical methods 1 and 3 were suitable. From the result it was judged that the leakage management method to be executed with the highest priority for the improvement of revenue water ratio was installation of pressure reduction valve, followed by replacement of water distribution pipe, replacement of water supply pipe, and then leakage detection and repair; and that the execution of leakage management methods in this order would be most economical. In addition, replacement of water meter was also shown to be necessary in case there were a large number of defective water meters.

• 대한산업공학회지
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• 제34권2호
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• pp.190-204
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• 2008

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.

• 산업경영시스템학회지
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• 제40권4호
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• pp.21-28
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• 2017

Improving efficiency of the telecommunication is crucial to the development and growth of Korean economy. Recently, it has become important with the huge development of information technology and its greater potential for extensive impact on the rest of the economy. Hence, it is useful to determine the factors that help enhance efficiency in telecommunication and consider them in improving the evaluation model. This study applies DEA (data envelopment analysis) to evaluate the relative efficiency of 51 branches of a Korean telecommunication company. Using the super-efficiency approach, we tested outliers which may affect the results and ranked the efficient branches. A method of deriving key variables applied to business operation is proposed to identify the key performance indicators for evaluation that takes environmental (non-discretionary) factors into account. We used the extended CCR model proposed by Banker and Morey to investigate the influence of non-discretionary factor. The information provided by the model (slacks, weights) and the sensitivity analysis shows that the most important indicator that affects the branch performance is operating cost. The results of sensitivity analysis show that average efficient score decreases from 0.972 (base case) to 0.863 for CASE2-COST. The average score of the data proves the priority of operating cost over other indicators. The effect of environmental (non-discretionary) variable was found to be significant. The population effect was positive and improved overall efficiency by 0.91% on average. Non-discretionary factor plays a meaningful role explaining the performance of branches. The performance optimization report can help a manager of an inefficient branch to develop branch strategies. Managers can identify the top-performing units, study best practices and adopt the strategy to the organization.

• 품질경영학회지
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• 제47권1호
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• pp.163-186
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• 2019

Purpose: The purpose of this study was to present a methodology for assessing the efficiency of supply chain quality management considering characteristics of defense industries to provide academic and policy implications for strengthening quality competitiveness of military supplies. Methods: Using the defense industry's empirical data, conduct an efficiency evaluation by utilizing a multi-stage DEA/Entropy Model for defense industries subject to the quality level survey of military goods manufacturers in 2017. Results: The results of this study are as follows; the first step of the multi-stage DEA model, Quality Management Performance Efficiency Analysis, shows that the CCR model and the BCC model are more efficient than the parent company. the second stage of the multi-stage DEA model showed that the CCR model was slightly more efficient than the parent company and the BCC model was more efficient than the parent.the overall efficiency value of the multistage DEA model, calculated by multipointing the efficiency value of the first stage by the second stage, was more efficient than the parent. Conclusion: The results of this study show that the efficiency of supply chian quality management performance and profitability in the defense industry can be analyzed for the first time using the multistage DEA/Entropy model to identify specific inefficiencies and support objective decision making.

• 한국IT서비스학회지
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• 제16권4호
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• pp.15-31
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• 2017

This study analyzes 45 Korea IT service companies from 2012 to 2016 using DEA analysis. Large enterprises, medium enterprises and small and medium enterprises (SMEs). CCR model and BCC model were used for efficiency analysis. Among the various analytical objects, the decision objects which yield the maximum output with minimum input are compared with other analysis objects. The relative inefficiency was measured through this, and Technical Efficiency (TE), Pure Technology Efficiency (PTE), Scale Efficiency (SE), scale profit, reference frequency were analyzed. Also, we analyzed the Technology Gap Ratio (TGR), which is the distance between production function and Meta-Frontier for each firm, using Meta-Frontier analysis. Finally, the Tobit model is used to analyze the sources of efficiency and inefficiency. The inputs are assets, capital, and employees, and the output factor is sales. The analysis shows that large firms are achieving technological achievements more efficiently than small and medium enterprises. As a result, medium-sized enterprises and SMEs can improve efficiency overall through efficient operation of workforce and appropriate combination of inputs such as assets and capital. Also, as a result of the influence factor analysis, it was found that the ratio of the managed asset ratio and the management cost ratio were significant factors influencing the efficiency of the IT service companies. This study suggests the efficiency analysis using DEA for many Korea IT service companies. Inefficient parts of each company are classified according to size and technology. Also, we identify the most efficient companies and analyze the causes of those companies whose profits are lower than their size.

• 디지털융복합연구
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• 제12권6호
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• pp.181-192
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• 2014

본 논문은 정부에서 시행하는 비영리민간단체 공익활동지원사업의 성과에 대한 효율성분석을 통하여 효율성이 낮게(비효율적) 나타난 단체에 대한 컨설팅방향을 제시하였다. 공익활동지원사업의7가지유형에 대하여 분산분석을 실시하여 유형별로 차이가 있음을 확인하였으며, 7개 유형별로 자료포락분석(DEA)중 CCB-I, BCC-I, 초효율성(Super Efficiency) 모형을 적용하여 성과에 대한 효율성을 분석하였다. 4개 입력요소(업력, 지원 금액, 회원수, 직원수)와 3개 출력요소(사업점수, 회계점수, 종합점수)를 분석한 결과, 7개 유형에서 사업성과에 대한 효율성이 높게 나타난 단체를 벤치마킹대상으로 도출하였고 초효율성분석을 통하여 벤치마킹 대상을 단기, 중기, 장기로 구분하였다. 이를 통해 각 단체에 맞는 사례를 배우고 개선함으로써 최선의 성과를 찾아낼 수 있는 정보를 제공하였다.

• 한국경영과학회지
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• 제42권3호
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• pp.35-49
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• 2017

The main objective of this paper is to empirically analyze the efficiency effects of mergers on Korean pharmaceutical firms and suggests managerial or policy implications for managers or policy makers. This study selects non-merging control firms close to the size of merging firms, as well as a set of merging firms, and measures the effects of mergers on efficiency three years before and after the merger using the non-parametric data envelopment analysis (DEA) method. To compare the differences of efficiency means among several groups, Wilcoxon rank sum test or Wilcoxon signed rank test is used. It showed that the long-term effects after the merger appeared partially. Furthermore, it was observed that there was no difference statistically in the efficiency between merging and non-merging firms. Also, there was no difference statistically in the efficiency between the pre- and post-merger periods. In conclusion, there was not any observed synergy effect through group (or affiliated) mergers between affiliates or related mergers for Korean pharmaceutical firms.

• The Journal of Asian Finance, Economics and Business
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• 제6권3호
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• pp.141-149
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• 2019

The paper proposes a knowledge innovation performance model by the dynamic data envelopment analysis with slacks-based measure approach for evaluating the effectiveness of 30 regional knowledge innovation activities in China from 2010 to 2016. In recent years, China has paid more attention to knowledge innovation activities, as central and local governments have pushed on with their innovation projects by lots of investment whatever the difficulties may be. Decision-maker is usually interested in judge its knowledge innovation performance relative to target benchmark by exploring whether one provincial administration region performs better among others and/or if the growth of economy will be benefited greatly by the knowledge innovation activities. To acquire the managerial insight about this issue from a comprehensively designed performance evaluation model, knowledge innovation activity is conceptualized as an intertemporal production process. Invention patent and regional gross product are imposed on desirable outputs, highlighting the need for knowledge economy. The empirical result shows that knowledge innovation has a positive effect on economic development. At the same time, decision-maker should be interest in the economic effect of patents' type and quality. The government should then encourage new technical applications with greater commercial value from a market-oriented perspective, in order to benefit the most from the innovation process in the short-run.