• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.118-120
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• 2023

Increasing port competition driven by the containerisation has motivated ports and terminals to focus on their performance to efficiently utilise the available resources and to make strategic decisions in port development and expansion. With both inter-port andintra-port competition increasing in the port of Colombo, this study aims to measure the efficiency of the container terminals in Colombo comparing to terminals in the port of Busan using the DEA window analysis to determine their operational efficiency and to provide suggestions for future port development activities. Multiple window analyses were conducted using CCR and BCC models with different orientations and window lengths to compare the efficiencies of 11 DMUs in both ports during the period from 2015-2019 to measure the efficiencies prior to the COVID-19 pandemic. Results revealed the largest terminal operator, PNC in Busan, to be the most efficient overall, while the second highest efficiency was recorded by one of the smallest terminal operators, SAGT in Colombo, among the sample. Although use of DEA in port performance measurement has been popular for many years, efficiency measurements in the port of Colombo, the main hub port in the South Asian region, has not been comprehensively studied so far.

• The Journal of the Korea Contents Association
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• v.8 no.5
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• pp.192-206
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• 2008

With many changes such as the increase in telemarketing, internet marketing and enforcement of bancassurance, the Korean life insurance companies have undergone a startling transformation. The purpose of this paper is to measure and analyse the static/dynamic efficiency of Korean life insurance companies employing Data Envelopment Analysis(DEA). As the result of the static efficiency analysis, we provide CCR, BCC and scale efficiency, return to scale, and reference set of Korean life insurance companies in 2004. And we also describe about the trend and stability of their efficiency for 7 years(1998-2004) in the dynamic efficiency analysis.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.27 no.1
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• pp.16-28
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• 2020

Purpose: The aim of this study was to evaluate the efficiency of long-term care visiting nursing centers in communities using data envelopment analysis (DEA). Methods: Data were collected using a self-reported questionnaire. The average number of staff per 6 months and total space of center were used as input variables. The average number of clients per 6 months and the average profits per 6 months were used as output variables. EMS Window version 3.1 was used to measure the efficiency scores. Descriptive statistics and tobit regression were applied to analyze the general characteristics of the variables and the factors affecting efficiency scores. Results: The average efficiency of 30 long-term care visiting nursing centers in communities was approximately 66.9% on technical efficiency analysis, and 79.1% on scale efficiency analysis. Eight nursing centers on technical efficiency analysis and 12 centers on scale efficiency analysis had 100.0% efficiency. Conclusion: Our findings reveal that long-term care visiting nursing centers in communities have low operational efficiency. Therefore, it is essential to institute policies and regulations to improve the efficiency of visiting nursing centers and to strengthen the business competencies of center officers.

• Journal of Korea Port Economic Association
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• v.27 no.1
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• pp.213-234
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• 2011

The literature on efficiency of the maritime and shipping industry has typically focused on container ports and terminals. The study presented in this paper uses data envelopment analysis to evaluate ocean carriers based on financial and operational data from 2004 to 2007. A comparison is made up of the efficiency of global ocean carriers in efficiency of financial and operational performance respectively. A positive correlation is shown between the input and output data. In the static-efficiency analysis, we describe CCR, BCC and scale efficiency of Global Ocean Carriers in 2007. And we also provide about the stability and trend of their efficiency for four years (2004-2007) in the dynamic-efficiency analysis. The empirical results validate the necessity of restoring freight rates to facilitate the efficiency of the global ocean carriers supported by adjust of the supply of containership space. The study provides a basis for estimating the competitiveness of international shipping companies, for benchmarking best practice and for identifying the specific factors and causes of inefficiency.

• Journal of Information Technology Services
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• v.5 no.1
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• pp.1-16
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• 2006

This paper analyzes the technical efficiencies of 40 Korean system integration firms using data envelopment analysis (DEA) and Malmquist productivity indices. Technical efficiencies on average had been decreased over the five year period and the efficiency difference between best practice firms and catch-up firms had been increased during this period, meaning that the industry structure has become matured and the possibilities for catch-up firms to be efficient are not remained so much. The differences in efficiency by the differences in ownership structures are statistically significant. It implies that the efficiencies of group-affiliated firms have come from benefits such as the captive market umbrellas, not from their own management competencies. In addition, the technical efficiency is highly correlated with captive market sales, information productivity, sales per employees, rates of value added, returns on invested capital, and EBITDA.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.2
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• pp.129-133
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• 2006

모든 조직들은 자신들의 업무관행이나 운영전략 등의 개선을 통한 조직효율성의 재고를 위해 다양한 노력들을 기울이고 있다. 해운항만산업의 첨두에 있는 컨테이너 터미널의 경우도 예외가 아니며, 이러한 목적을 위해 벤치마킹기법이 사용될 수 있다. 벤치마킹 기법은 자신들 내면을 파악한 후 동종업계의 최고업무처리관행(best practices)조직을 참조하여 자신들의 업무 효율성을 향상시키는 방법이다. 국내 컨테이너항만의 후발주자이면서, 물동량의 증가율도 높지 않아 지역민이나 전 국민의 우려대상이 되고 있는 광양항도 다양한 방법을 사용한 발전을 모색해야만 하며, 이러한 방법적용을 위해 대표적으로 사용할 수 있는 것이 자료포괄분석법(data envelopment analysis, DEA)이다. 본 연구는 부산항과 광양항에 있는 중소형 9개 터미널의 1999${\sim}$2004년간의 4년자료를 통해 광양항 컨테이너터미널의 문제점과 그 원인을 살펴보고, 벤치마킹기법을 이용해 이를 개선하기 위한 행동방안을 간략히 제시해본다. 추후에는 최근의 다양한 변수와 국내외의 다양한 대상을 통한 더욱 엄밀한 분석을 수행해야 할 것이다.

• Journal of Korean Academy of Nursing Administration
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• v.17 no.1
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• pp.54-65
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• 2011

Purpose: The aim of this study was to evaluate the efficiency of community visiting health service units using DEA and to compare the results with those of traditional evaluation methods. Methods: Data were collected using 2008 annual reports of 10 districts in one city. Input variables were number of staff and operational budget per year and output variables were number of managed household per nurse, rate of controlled hypertension, and diabetes mellitus. EMS Window version 3.1 was used to measure efficiency score and bootstrapping Chi-square test was applied to identify differences between efficient and non-efficient unit by organizational factors. Results: The average efficiency score of 10 community visiting health services was about 66%. Only two of the units operated program efficiently. The career of the staff was one among other factors associated with efficiency. The evaluation results from the traditional method and DEA were totally different. Conclusion: These results indicate that, evaluation methods have very important and significant effects on the evaluation results of community visiting health service units. The DEA method is recommend as an alterative method for evaluating community visiting health service.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.496-509
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• 2020

This study analyzes 5-year efficiency of the game industry, from 2014 to 2018 which is aimed at 25 online and mobile game companies, that are emerging as a new growth engine of a national economy to come and as a core areas of late entertainment industry. The DEA is used for static efficiency analyze and the DEA-Window is used for dynamic efficiency analyze. This study uses assets, the number of employees and costs as input variables and it also uses operating profits and sales as output variables. The main results show that scale efficiency presents a resonable result over 0.85 on a total average except 2014. However, there has not been a year that is over 0.80 of the whole period in technical efficiency. Also, in terms of business scale, there is a huge efficiency gap between high rank companies and low rank companies and the average trend of efficiency has been increased from 2014 to 2016 but it has been decreased since 2017.

• Review of Culture and Economy
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• v.19 no.2
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• pp.171-193
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• 2016

China's advertising industry has rapidly increased owing to economic growth and big market size. This paper covers the localization and relative efficiency in the Chinese advertising industry. To analyze localization level and efficiency of advertising industry, this paper uses Location Quotient(LQ) and Data Envelopment Analysis (DEA) respectively. According to the results, the first finding shows that the higher regional development level have the relative efficiencies, the higher regional development level also have regional specialization degree. The second finding indicates that Chinese advertising industries are multipolalized region by region. The last finding reveals that advertising industry of middle and west regions has long term development potentiality owing to high specialization degree with low relative efficiencies.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.18 no.2
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• pp.118-125
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• 2011

Purpose: The aim of this study was to evaluate the efficiency of nursing units in a hospital using DEA. Methods: Data were collected using the medical information system of a general hospital in a city. Input variables were number of nurses, number of nurse-aides, number of beds, and overhead costs. Output variables included number of admitted patients, rate of bed utilization, satisfaction of discharged patients, and prevention rate of safety accidents and sores. EMS Window version 3.1 was used to measure the efficiency score and descriptive statistics were applied to analyze the general characteristics of variables. Results: The average efficiency score of 18 general nursing units was approximately .99. Nine nursing units had a 1.00 efficiency score. Conclusion: Our findings reveal that nursing units operated very efficiently. To increase efficiency of inefficient nursing units, we recommend results of the DEA slack analysis as a benchmark of the most efficient nursing unit.