• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.10a
• /
• pp.128-130
• /
• 2016

The digital content industry is growing rapidly with the popularity of online content and mobile devices. This study estimates the technical efficiency of the online digital content industry, and identifies factors that could be causing inefficiency. Unlike most previous studies, which adopted input-oriented or output-oriented DEA model, this study employs non-oriented DEA model in order to deal with both input surpluses and output shortfalls. The input variables for the empirical analysis are number of companies and number of workers. The total sales is used as the output variables. The empirical results show that the technical efficiency of the online digital content industry is relatively low mainly due to the scale efficiency rather than the pure technical efficiency. This implies that industry-specific policies should be implemented in order to improve technical efficiency as well as to strengthen technological innovation capability. Therefore, it is expected that the results obtained in this study can be used as a good reference for helping the online digital content industry enhance their competitiveness.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.42 no.3
• /
• pp.35-49
• /
• 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.

• Journal of Navigation and Port Research
• /
• v.42 no.2
• /
• pp.143-152
• /
• 2018

Currently, there are very few papers that have examined the efficiency of Vietnamese ports. Of those that have, some of them take into account only a few container ports in Northern Vietnam. Others focus on comparing all types of ports in Vietnam with regard to the differences in efficiency scores when applying different methods to evaluate efficiency. However, there is no paper that specifically analyzes the efficiency of Vietnamese container ports throughout the country or that compares Vietnamese container ports with those of other countries in terms of efficiency. In order to provide more accurate and interesting information for container port authorities, in this study, 21 major Vietnamese container ports and seven major Korean container ports are selected and examined with regard to their levels of efficiency in 2016 using data envelopment analysis (DEA). This paper applies both constant return to scale (CRS) and variable return to scale (VRS) to explore the differences among overall technical efficiency, pure technical efficiency, and scale efficiency of the selected container ports. This study also indicate slacks and sets projections for inefficient ports.

• Information Systems Review
• /
• v.9 no.2
• /
• pp.109-127
• /
• 2007

In a buyer seller transaction process, "value for money" is one of the most important criteria for a buyer's purchasing decision. The terms "value" and "money" represent a composite measure of what a buyer receives from goods and/or services and a measure of what he/she pays for them, respectively. The purpose of this paper is to help buyers select the best seller in terms of value for money. We suggest DEA models for buyer seller transactions and apply them to the case of an Internet comparison shopping site in Korea. We expect our DEA models to provide valuable information for rational buyers who want to pay the least price for high quality products/services. Moreover, we expect that our models can help sellers be more competitive by showing them how to attract buyers.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.41 no.2
• /
• pp.65-73
• /
• 2018

The dynamic capabilities of sensing market signals, creating new opportunities and reconfiguring resources and capabilities to new opportunities in a rapidly changing economic environment determines the competitiveness of the enterprise to create added value and survival. This study conceptualized a two-stage performance measurement framework based on the casual model of resource (input)-process-performance (output). We have developed a 'Process capability index' that reflect the dynamic capabilities factors as a key intermediary product linking resource inputs and performance outputs in enterprise performance measurement. The process capability index consists of four elements : manpower (level of human resource), operation productivity, structure and risk management. The DEA (Data Envelopment Analysis) model was applied to the developed performance indicators to analyze the branch office performance of a telecom company. Process capability efficiency (stage 1) uses resource inputs to reach a certain level of process capabilities. In performance result efficiency (stage 2), the process capabilities are used to generate sales revenues and subscribers. The two-stage DEA model derives intermediate output values that optimize the individual stages simultaneously. Some branch offices in the telecom company have focused on process capability efficiency or some other branch offices focused on performance result efficiency. Positioning map using two-stage efficiency decomposition and benchmarking can help identify the sources of inefficiencies and visualize strategic directions for performance optimization. Applications of two-stage DEA in conjunction with the case study that are meaningfully used in performance measurement areas have been scarce. In particular, this paper has the contribution to present a new performance measurement model considering the organization theory, the dynamic capabilities.

• The Korean Journal of Financial Management
• /
• v.9 no.2
• /
• pp.77-100
• /
• 1992

경영성과(經營成果)의 평가지표(評價指漂)는 개별조직의 목표와 제약환경, 즉 이용가능한 자원량과 개별적 특수요인 등을 고려하여 설정하여야 하며, 산업내의 특성과 동질적 비교집단을 이해함으로써 조직의 성과와 직접적으로 연결될 수 있어야 한다. 또한 조직의 평가는 부분적(部分的)인 효율성(效率性)에 편중되지 않고 투입과 산출간의 유기적인 관계를 총체적인 관점에서 분석함으로써 종합적(綜合的) 효율성(效率性)에 그 촛점이 두어져야 한다. 이러한 문제의 인식에 바탕을 두어 본 연구에서는 Charnes, Cooper와 Rhodes(1978)에 의해 처음 개발되어 주로 비영리기관의 경영성과의 평가에 많이 사용하여 온 DEA(Data Envelopment Analysis)기법을 이용하여 금융기관(金融機關)의 효율성(效率性)을 평가(評價)한다. 금융기관은 다양한 투입요소를 사용하여 다양한 서비스 상품을 제공하는 조직이기 때문에, 또 재무비율을 이용한 기존의 평가나 통계적 생산함수의 추정에 의한 평가방법은 단순히 과거의 실적을 평가하는 데 그치게 되고 객관성이 결여되기 쉽기 때문에 조직의 미래운영방향의 설정에 도움이 되지 못한다는 단점을 가지고 있다. 그러나, DEA은 다수의 투입과 산출요소를 요구하는 경우에 적합하게 설계된 분석방법이므로 금융기관의 성과분석에 적절하게 이용될 수 있다. 본 연구에서는 먼저 금융기관(金融機關)의 효율성(效率性)을 평가(評價)하는 기존의 방법을 간략하게 검토한 다음, DEA에 관한 이론적 기초와 그 특성을 검토한다. 실증분석에서는 여 수신업무(與 受信業務)를 수행하고 있는 국내금융기관들 중에서 자료의 동질성과 표본대상 기업의 수를 고려하여 은행업(銀行業)과 투자금융업(投資金融業)을 선정하고 이들 업종에 속한 37개 회사들에 대한 운영효율성(運營效率性)을 측정한다. 투입요소로 직원의 수와 영업비용을, 그리고 산출요소로 영업수익과 경상이 익을 선정하고, 3년간의 자료를 사용하여 실증분석을 한다. 분석의 결과에 의하면, 18개 전체 은행의 평균적인 효율성의 정도는 가장 효율적인 은행을 기준으로 할 때, 약 85% 수준에 그치고 있어서, 나머지 대부분의 은행들 특히 대규모 시중은행들의 경영상의 개선의 여지가 매우 크다고 할 수 있다. 5대 시중은행들간에는 효율성의 차이가 거의 없는 반면, 지방은행들간에는 매우 큰 차이가 있는 것으로 나타난다. 이는 영업지역의 제한으로 인하여 지역경제 규모가 은행의 수지상황에 결정적인 영향을 미치고 있다는 것을 반영하고 있다. 29개 단자회사를 대상으로 한 투자금융업의 경우에도 은행업의 경우와 동일하게 낮은 효율성과 지역간 격차현상이 나타나고 있다.

• The Journal of the Korea Contents Association
• /
• v.11 no.1
• /
• pp.317-328
• /
• 2011

Logistic system and methods of the transportation have been changed rapidly by the variety of the logistics environment. It is necessary to analyze the efficiency of Korean trucking companies for enhancing the competitive power and operating. This paper will describe the analysis of the efficiency of the trucking companies with DEA models. By the CCR and the BCC models, which are in parts of DEA model, the efficiency and RTS(Return To Scale) of forty two selected trucking companies were studied. It was also analyzed how the study the input-output variables were effected. And then, some of the forty two trucking companies were shown as the benchmark. As the result of analysis on the two models, seven companies won the score '1' on CCR model and seventeen companies on BCC model. Moreover, this study showed that reducing the total asset out of input variables, and raising the sales profit out of the output variables played a main role to increase the efficiency of the trucking companies highly.

• ETRI Journal
• /
• v.45 no.3
• /
• pp.448-461
• /
• 2023

This article performs a detailed data scrutiny on a chronic kidney disease (CKD) dataset to select efficient instances and relevant features. Data relevancy is investigated using feature extraction, hybrid outlier detection, and handling of missing values. Data instances that do not influence the target are removed using data envelopment analysis to enable reduction of rows. Column reduction is achieved by ranking the attributes through feature selection methodologies, namely, extra-trees classifier, recursive feature elimination, chi-squared test, analysis of variance, and mutual information. These methodologies are ranked via Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) using weight optimization to identify the optimal features for model building from the CKD dataset to facilitate better prediction while diagnosing the severity of the disease. An efficient hybrid ensemble and novel similarity-based classifiers are built using the pruned dataset, and the results are thereafter compared with random forest, AdaBoost, naive Bayes, k-nearest neighbors, and support vector machines. The hybrid ensemble classifier yields a better prediction accuracy of 98.31% for the features selected by extra tree classifier (ETC), which is ranked as the best by TOPSIS.

• Korean Journal of Organic Agriculture
• /
• v.30 no.4
• /
• pp.499-516
• /
• 2022

Blueberry producers' management is failing as a result of the price decline caused by an increase in blueberry imports and the accompanying deterioration in management. Consequently, an endeavor was undertaken to verify the measurement and impact from the standpoint of efficiency and productivity of blueberry management, and to offer an indication of management improvement through analysis. Using the Rural Development Administration's income survey data, the data for twenty-four blueberry farms was analyzed. First, the management effectiveness of blueberry cultivators was evaluated. Using the CCR model (0.7297) and the BCC model (08148), the efficiency of a farm was examined. When the efficiency is one, CCR is ten and BCC is fifteen, and in overall, it was found to be ineffective, the efficiency declined from 2018 to 2019, but climbed again in 2020, according to the annual analysis. The MPI index was then used to examine productivity. T2's MPI index was 1.3338, whereas T3's MPI index was 0.8896, demonstrating a considerable decline in TC. This indicates that technological progress is not being accomplished, necessitating the need for countermeasures. In order to improve the management efficiency of blueberry producers, it is necessary to reduce costs and improve receivable prices through producer organization, and to actively introduce new technologies.

• Journal of Korea Port Economic Association
• /
• v.32 no.4
• /
• pp.73-87
• /
• 2016

The purpose of this study is to investigate the empirical results of Analytic Hierarchy Process/Data Envelopment Analysis-Assurance Region(AHP/DEA-AR) by using multiple regression analysis during the period of 2009-2012 with 5 inputs (number of gantry cranes, number of berth, berth length, terminal yard, and mean depth) and 2 outputs (container TEU, and number of direct calling shipping companies). Assurance Region(AR) is the most important tool to measure the efficiency of seaports, because individual seaports are characterized in terms of inputs and outputs. Traditional AHP and multiple regression analysis techniques have been used for measuring the AR. However, few previous studies exist in the field of seaport efficiency measurement. The main empirical results of this study are as follows. First, the efficiency ranking comparison between the two models (AHP/DEA-AR and multiple regression) using the Wilcoxon signed-rank test and Mann-Whitney signed-rank sum test were matched with the average level of 84.5 % and 96.3% respectively. When data for four years are used, the ratios of the significant probability are decreased to 61.4% and 92.5%. The policy implication of this study is that the policy planners of Korean port should introduce AHP/DEA-AR and multiple regression analysis when they measure the seaport efficiency and consider the port investment for enhancing the efficiency of inputs and outputs. The next study will deal with the subjects introducing the Fuzzy method, non-radial DEA, and the mixed analysis between AHP/DEA-AR and multiple regression analysis.