• Title/Summary/Keyword: BCC efficiency

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A Study on Measuring the Efficiency of Korea-China Car Ferry Routes by using Data Envelopment Analysis (DEA를 활용한 한중 카페리 항로의 효율성 분석)

  • Lee, Nam-Yeon;Pak, Ji-Yeong;Yeo, Gi-Tae
    • Journal of Navigation and Port Research
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    • v.37 no.2
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    • pp.187-193
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    • 2013
  • In this prolonged economic recession, the countries in Northeast Asia play a crucial role in the global market and the relationship between Korea and China gets more attention due to its significant achievement during the past 20 years after the establishment of diplomatic ties in 1992. In this regards, this study presents general overview of Korea-China Car Ferry Route and evaluates the efficiency level of each operating route using DEA model. Incheon-Yingkou, Incheon-Lianyungang, Pyeong Taek-Lianyungang are analyzed as efficent routes, while from the view point of passenger efficiency, 4 routes i.e, Incheon-Dalian, Incheon-Dandong, Pyeong Taek- Weihai, Gunsan-Shidao are also noted as efficient routes. Consequently, other inefficient routes can benchmark these efficient routes by increasing cargo volume and passengers.

Management Efficiency Analysis of Construction Firms Using a Combined ANP and DEA Model (ANP와 DEA 결합모델을 이용한 건설회사의 경영효율성 분석)

  • Seo, Kwang-Kyu;Kim, Myung-Sun;Park, Yeon-Woo
    • Proceedings of the KAIS Fall Conference
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    • 2011.05b
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    • pp.765-768
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    • 2011
  • 최근 건설경기의 난국 속에서 많은 건설기업들이 경영상의 어려움에 처해 있다. 본 연구에서는 코스피 코스닥 상장 건설기업들을 대상으로 ANP와 DEA 결합 모델을 이용하여 기업의 경영 효율성 분석을 실시한다. DEA 모형에 쓰이는 투입 및 산출 요소의 결정은 ANP 모형의 중요도 분석을 통하여 결정함으로써 기존의 방법보다 효율성 분석 결과의 신뢰도를 제고하였는데, 효율성 분석결과 비효율적 그룹에 대해서는 효율적 그룹으로의 이동을 위한 벤치마킹 대상과 개선을 위한 효율성 수치를 제공한다. 또한 연구의 결과로 나온 기업별 효율성과 주가와의 상관관계를 분석한다. 본 연구에서는 코스피 상장 건설기업 36곳과 코스닥에 상장된 건설기업 21곳인 총57개 기업을 대상으로 기업의 효율성을 평가하였는데, 효율성 분석결과 CCR 효율성이 1인 기업은 4개 기업, BCC 효율성이 1인 기업은 7개 기업, 규모의 효율성이 1인 기업은 4개 기업 이었으며 각각의 효율적 그룹군 기업과 주가와의 상관관계는 CCR, BCC 모형 모두에서 0.7 이상의 강한 양의 상관관계를 나타냈다.

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Measuring Operational Efficiency of Korean Online Game Companies with DEA Window Analysis (DEA Window 분석을 이용한 국내 온라인 게임 기업의 운영 효율성 평가)

  • Chun, Hoon;Lee, Hakyeon
    • Journal of the Korean Operations Research and Management Science Society
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    • v.39 no.3
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    • pp.23-40
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    • 2014
  • This paper measures the operational efficiency of domestic online game companies and analyze its trends and patterns by using data envelopment analysis (DEA). DEA is a non-parametric approach to measuring the relative efficiency of decision-making units (DMUs) with multiple inputs and outputs. 14 online game companies are selected as DMUs and three inputs (number of employees, capital and asset) and three outputs (sales, operating profit and net profit) are selected as DEA variables. First, the output-oriented BCC model and super-efficiency model are employed to measure the static operational efficiency of the online game companies from 2003 to 2012. We also conduct the dynamic analysis with DEA window model to capture the trends of their operational efficiency influenced by internal and external environmental changes. The results are expected to provide fruitful implications for strategic decision making of online game companies and policy making for the online game industry.

Efficiency Analysis of Social Security Expenditure in 31 Provinces and Autonomous Regions in China

  • ZHOU, Lin-Lin;KIM, Hyung-Ho
    • East Asian Journal of Business Economics (EAJBE)
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    • v.9 no.2
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    • pp.1-10
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    • 2021
  • Purpose - The purpose of this study is to measure the efficiency of social security expenditure in 31 provinces, cities and autonomous regions in China and proposes corresponding improvement plans. Research design, data, and methodology - The data were obtained from the statistical yearbook of each province. The BCC and CCR models of DEA model and Malmquist index are used to analyze the efficiency, and the input-output index is expanded. Result - The results show that the social security performance of the Chinese government has improved on the whole despite the unbalanced development in different regions. Each region should look for strategies to improve the efficiency of social security according to its own problems. The study suggests that provinces affected by TCI should improve their internal environment, such as raising social security fund structure and strengthening fund supervision, to improve efficiency. Areas affected by TECI need to be more responsive to policy, socio-economic and technological development. Conclusion - The research conclusion can provide reference for Chinese provinces to improve the efficiency of social security expenditure in the future. This study is not comprehensive enough in the selection of input-output indicators, which can be further expanded in the future.

Efficiency Analysis of Jeollanam-do Food Exprt Industry using DEA and Tier Models (DEA 모형과 Tier 분석을 이용한 전라남도 식품수출업체의 효율성 분석)

  • Chang, Seog-Ju
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.12 no.2
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    • pp.125-136
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    • 2017
  • This study focuses on a relative efficiency of 109 operating food companies out of 22 regions in Jeollanam-do. The relative efficiency has been analyzed by 5 input factors(capital, number of employees, annual labor costs, raw material purchase, and site area) and 2 output factors(annual exports and annual production of the companies in Jeollanam-do). This study suggests efficient companies which inefficient companies can benchmark to improve their system in short-mid-long term in phases. The main result of empirical analysis are as follows: Firstly, according to the Traditioanl DEA analysis, 7 companies out of 109 DMU indicate the optimal production scale in score 1 of CCR efficiency value, BCC efficiency value, and scale efficiency value. Secondly, a result from the Tier 1 step of inefficient companies by Post-DEA suggests that it would be better to apply each Tier step to the proper stage of the worst 5 inefficient companies such as Tier 3 step(short-term benchmark)${\rightarrow}$Tier 2 step(mid-term benchmark)${\rightarrow}$Tier 1 step(long-term benchmark) in step. This study expects that the result of the study can reduce the trial and error in inefficient part, lead to improvement, and have a big help in food exporting industry in the end.

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A Study on Efficiency of Community Problem-solving Type R&D and Influencing Factors (지역사회 문제해결형 R&D 효율성 및 영향요인에 관한 연구)

  • Min, Hyun-Ku
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.17 no.4
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    • pp.161-175
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    • 2021
  • This study analyzed the efficiency and influence factors according to the main research institute type of R&D Program for the local community problem-solving. This study applied data envelopment analysis (DEA) method and Tobit regression analysis by using 20 institutions that participated in R&D Program. The results are summarized as follows. First, Analysis results according to the research institute type of R&D project, Efficient DMUs showed more regional innovation institutions than social economy enterprises. But regional innovation institutions were the lowest in the CCR and BCC model. However, efficiency dose not differ between regional innovation institutions and social economy enterprises. Second, as a result of the analysis relation between efficiency and allocation characteristics of R&D input, the participation of regional innovation organizations as participating organizations has a negative effect on efficiency. It was found that the higher the proportion of government subsidies and the higher the employment rate of the vulnerable, which is a social achievement, the positive effect on efficiency. The implication of this study is that the participation of social economy enterprises as the main R&D institution and government R&D support can provide social economy enterprises with opportunities to accumulate R&D capabilities and experience successful commercialization.

Container Terminal Efficiency Measurement Using Data Envelopment Analysis: Pre-Pandemic Comparison of Colombo and Busan

  • Naleen De Alwis;Hyung-Sik Nam
    • 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.

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An Exploratory Performance Analysis of The Forest Sector R&D Program (산림분야 기후변화대응 R&D사업에 대한 탐색적 성과분석 : 효율성 관점에서 DEA분석을 중심으로)

  • Moon, Kwan-sik;Lim, Chae-hong;Ahn, Kyung-sup
    • Journal of Digital Convergence
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    • v.14 no.8
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    • pp.47-56
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    • 2016
  • This study is on the actual analysis of R&D investment effect through DEA in terms of efficiency resulted from forestry sector climate change response R&D project. Namely, it is clarifying the mechanism of the scientific, technological, social performance result and output, depending on research development cost, employment size as same input. Also, it is in-depth analysis on which performance operates more efficiently in any detailed business. With the study result, we seek political implications to enhance investment effect and core element to consider R&D business project in the future.

The Efficiency Analysis of CRM System in the Hotel Industry Using DEA (DEA를 이용한 호텔 관광 서비스 업계의 CRM 도입 효율성 분석)

  • Kim, Tai-Young;Seol, Kyung-Jin;Kwak, Young-Dai
    • Journal of Intelligence and Information Systems
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    • v.17 no.1
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    • pp.91-110
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    • 2011
  • This paper analyzes the cases where the hotels have increased their services and enhanced their work process through IT solutions to cope with computerization globalization. Also the cases have been studies where national hotels use the CRM solution internally to respond effectively to customers requests, increase customer analysis, and build marketing strategies. In particular, this study discusses the introduction of the CRM solutions and CRM sales business and marketing services using a process for utilizing the presumed, CRM by introducing effective DEA(Data Envelopment Analysis). First, the comparison has done regarding the relative efficiency of L Company with the CCR model, then compared L Company's restaurants and facilities' effectiveness through BCC model. L Company reached a conclusion that it is important to precisely create and manage sales data which are the preliminary data for CRM, and for that reason it made it possible to save sales data generated by POS system on each sales performance database. In order to do that, it newly established Oracle POS system and LORIS POS system concerned with restaurants for food and beverage as well as rooms, and made it possible to stably generate and manage sales data and manage. Moreover, it set up a composite database to control comprehensively the results of work processes during a specific period by collecting customer registration information and made it possible to systematically control the information on sales performances. By establishing a system which unifies database and managing it comprehensively, impeccability of data has been greatly enhanced and a problem which generated asymmetric data could be thoroughly solved. Using data accumulated on the comprehensive database, sales data can be analyzed, categorized, classified through data mining engine imbedded in Polaris CRM and the results can be organized on data mart to provide them in the form of CRM application data. By transforming original sales data into forms which are easy to handle and saving them on data mart separately, it enabled acquiring well-organized data with ease when engaging in various marketing operations, holding a morning meeting and working on decision-making. By using summarized data at data mart, it was possible to process marketing operations such as telemarketing, direct mailing, internet marketing service and service product developments for perceived customers; moreover, information on customer perceptions which is one of CRM's end-products could feed back into the comprehensive database. This research was undertaken to find out how effectively CRM has been employed by comparing and analyzing the management performance of each enterprise site and store after introducing CRM to Hotel enterprises using DEA technique. According to the research results, efficiency evaluation for each site was calculated through input and output factors to find out comparative CRM system usage efficiency of L's Company four sites; moreover, with regard to stores, the sizes of workforce and budget application show a huge difference and so does the each store efficiency. Furthermore, by using the DEA technique, it could assess which sites have comparatively high efficiency and which don't by comparing and evaluating hotel enterprises IT project outcomes such as CRM introduction using the CCR model for each site of the related enterprises. By using the BCC model, it could comparatively evaluate the outcome of CRM usage at each store of A site, which is representative of L Company, and as a result, it could figure out which stores maintain high efficiency in using CRM and which don't. It analyzed the cases of CRM introduction at L Company, which is a hotel enterprise, and precisely evaluated them through DEA. L Company analyzed the customer analysis system by introducing CRM and achieved to provide customers identified through client analysis data with one to one tailored services. Moreover, it could come up with a plan to differentiate the service for customers who revisit by assessing customer discernment rate. As tasks to be solved in the future, it is required to do research on the process analysis which can lead to a specific outcome such as increased sales volumes by carrying on test marketing, target marketing using CRM. Furthermore, it is also necessary to do research on efficiency evaluation in accordance with linkages between other IT solutions such as ERP and CRM system.

An Efficiency Analysis of the Long-term Care Facilities Using DEA Model (자료포락분석을 이용한 노인요양시설 효율성 연구)

  • Jeong, Seong Bae
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.6
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    • pp.141-150
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    • 2015
  • The aim of this study is to analysis the efficiency of the Long-term Care facilities as well as make counterproposals to conduct of efficient management for the Long-term Care facilities. The data of professionals states of Long-term Care facilities and wages state of Long-term Care facilities from regions in 2014. To analyse the data, the number of professionals and facilities are an input variable whereas the size of number and wages are the output variables. The results showed as below. First, according to the CCR test, Kangwon, Gyeonggi, GyeongNam, Deajeon, Seoul, Ulsan, Incheon, Jeju, and Chong Buk showed significance, but Daegu and Busan showed no significance. Second, the BCC result showed that Kangwon, Gyeonggi, GyeongNam, Deajeon, Seoul, Ulsan, Incheon, Jeju, and Chong Buk has efficiency whereas Daegu and Busan has no efficiency. The result of excess efficieincy analysis confirmed 133.5% in Jeju as the highest area, 37.54% of the highest efficiency of the care provider, and 28.61% of imporvable possibility with doctor's number. The realization of increasing numbers, the ensure of the doctor's number, and consolidating of the care provider's the espertise are required for the future.