• Journal of the Korean Society for information Management
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• v.29 no.1
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• pp.303-329
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• 2012

This study measures the efficiency of public libraries, library services, and management to contribute to the proposed model for efficiency analysis, reflecting the characteristics in public libraries. This analysis model of applying the empirical research pursues the solutions to provide efficiency. Although many attempts have been made domestically and internationally to study the measurement of the efficiency, mere application of analysis techniques used in the other public sectors has led to the inadequate measurement for characteristics of library services. In addition, there has not been any attempt made to deduce a general theory for the study from the measurement results. In this study, an analysis model that reflects the inherent characteristics in library services is suggested to be analyzed empirically, and this leads to the understanding of efficiency factors. The results of the study show that the efficiency of current public libraries can be increased on the basis of input and output. Therefore the commitment to increase the level of output to meet the current need shall continue by the amount, rather than by the commitment to reduce the level of input. Finally, the factors influencing the efficiency are the number of users, the physical environment, professional staffs, events planning, and electronic resources. After analyzing the five factors via multiple regression analysis, three factors such as the number of users, professional staff and events planning proved causal relationship with the efficiency.

• Journal of Korea Port Economic Association
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• v.17 no.1
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• pp.27-51
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• 2001

The purpose of this paper is to investigate the productive efficiency of world container ports by using the DEA (Data Envelopment Analysis) method and raw data from previous research in measuring the international competitiveness of world container ports. Ports have to cope with rapid changes in shipping environments. In order for a port to compete in the global market, it must provide port services promptly and accurately. Basically, there are two approaches to measuring the international competitiveness of a container port. First, there is the traditional productivity analysis method, which analyzes productivity based on the container port's facilities (efficiency, selectivity, land availability), and by its general capacity (handling ability, storage capacity, terminal productivity). Second there is multi-attribute utility analysis, which considers several elements including the reasons for selecting particular container ports and factors determining international competitiveness. This paper follows the first method (traditional productivity analysis) and extends the limitation of previous studies by using the DEA method newly, and suggesting: the relative productive efficiency of container ports. The main results of this paper are as follows: First, the results of the DEA analysis in terms of world container ports matches that of a previous study (Jun et al., 1993) at a level of 35%. The low ratio is due to the constrained set of input-output elements, the result of only twenty container ports being analyzed in this paper. Second, the result of the DEA analysis in terms of North-East Asia's container ports matches with that of a previous study (Ha, 1996) at a level of 100 percent. Therefore we can conclude that the DEA analysis is the best measurement method for international competitiveness. Policy implications for this study are as follows: First, when port authorities want to measure the international competition power of container ports and enhance their productive efficiency, they should consider the traditional method and newly introduce the DEA method. Second, according to the analysis results of the DEA method, pen authorities should recommend benchmarking ports as reference ports in order to enhance the productive efficiency of container ports that show an efficiency score of below 1.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.5
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• pp.1436-1446
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• 2015

This study aims to understand how scuba diving instructors' expertise, instructor reliability and instruction efficiency are related to each other. In order to achieve the research goal, the study used a multi-stage stratified cluster sampling method and collected valid samples from 400 individuals at age of 20 and older who were scuba diving in scuba diving clubs in Busan, Gyeongnam, Gyeongbuk, Jeonnam and Jeonbuk. The 400 valid samples were applied to the data analysis. The study used SPSS 21.0 for processing the gathered data via a frequency analysis, a reliability analysis and a correlation analysis and in order to verify the hypotheses, the study applied AMOS 21.0 and conducted a confirmatory factor analysis and a structure equation model analysis. Findings that the study had extracted are summarized as follows. First, the study confirmed that the scuba diving instructors' expertise has a positive effect on the instructor reliability. Second, the scuba diving instructors' expertise was reported to positively influence the instruction efficiency. Third, the results revealed that the scuba diving club members' reliability in the instructors has a positive influence on the instruction efficiency.

• Journal of Information Technology Applications and Management
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• v.27 no.1
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• pp.1-13
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• 2020

This study aims to measure the efficiency and productivity change of 30 domestic construction companies from 2010 to 2018 using data envelopment analysis(DEA) and Malmquist productivity index (MI). In particular, we used the number of employees, capital stock, and non-current assets as input variables, and sales and net income as ouput variables for the analysis. The dataset used for the analysis of efficiency and productivity changes is the employee profile and financial statements for the companies from 2010 to 2018. We found that the MI of the 30 companies is greater than one since 2013. This is because many years of TEC (Technical Efficiency Change) is greater than 1, which means that the productivity index increases as the TEC increases. In addition, the MI value was less than 1, which lowered the productivity of construction firms in 2018. The results of the study may help decision makers to find effective future management plans by analyzing the internal and external factors.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.40 no.3
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• pp.139-148
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• 2016

Thermodynamic analysis is conducted on the first-order approximation model for turbines and compressors. It is shown that the adiabatic efficiency could be greater than unity, depending on the entropic mean temperature, entropy generation, thermal reservoir temperature, and heat transfer. Therefore, adiabatic efficiency applied to a diabatic control volume results in an error overestimating its performance. To resolve this overestimation, it is suggested that a reversible diabatic process be referred to as an ideal process to evaluate diabatic efficiency. The diabatic efficiency suggested in this work is proven to always be less than unity and it is smaller than the exergy efficiency in most cases. The diabatic efficiency could be used as a more general definition of efficiency, which would include adiabatic efficiency.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.895-904
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• 2021

This study aims to investigate the impact of innovation on firm efficiency. Panel data of fourteen finance companies and nine technology companies from 2011 to 2019 on the Vietnam Stock Exchange Market is derived from audited financial statements, annual reports, and other crucial reports that are provided by Vietstock; macroeconomic variables are collected from the World Bank Database. A two-stage approach is used. First, use of the Data Envelopment Analysis methodology to measure firm efficiency. Second, use of the Pooled ordinary least squares, the Fixed effects model, and the Random effects model to investigate the impact of innovation on firm efficiency. Furthermore, the Generalized Method of Moments and the Tobit model are used to validate the impact of innovation on firm efficiency, and the t-test is used to confirm the difference in efficiency with and without the impact of innovation between two industries. The results show that there is a significant impact of innovation on efficiency, and innovation plays a more important in increasing the efficiency of the finance industry than the technology industry. Moreover, the relation between age and efficiency is like the U-shaped, and between size and efficiency is like the inverted U-shaped, whereas efficiency is not associated with inflation.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.139-146
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• 2014

We investigated the relative efficiency and statistical analysis of Kimchi-related manufactures in Jeollabuk-do for their management efficiency and improvement plans. We used data enveloped analysis (DEA) for the relative efficiency, and principal component analysis (PCA) and t-test for the statistical analysis. We analyzed 34 DMUs among 67 DMUs located in Jeollabuk-do. The results were as follows; the statistical efficiency, pure statistical efficiency, scale efficiency for 34 DMUs were 0.653, 0.761, and 0.863, respectively. The correlated component regression (CCR) showed that DMUs above efficiency 1 were 61.5% among -si (urban area), and 23.8% among -gun (rural area), respectively. However, there were not the significant differences of and BCC, CCR, and scale efficiency between urban area and rural area. This study will be useful for local industry's promotion by providing the information on Kimchi-related manufactures.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.349-367
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• 2019

This paper empirically analyzed the factors of operational efficiency after the quasi-public bus operating system in Busan Metropolitan City. DEA analysis result, for CRS the annual efficiency in 2010 of bus routes that can be transferred to subway lines 1 was the highest. The annual efficiency of bus routes that can be transferred to subway lines 2 shows the largest annual average of 0.923 in 2016 under the CRS average gradually improved over the year. Annual efficiency of subway lines No. 3 and transferable bus routes gradually improved from 2009 to 2015, but declined again in 2016. Among 536 routes for four years on 134 routes per year, 205 routes were found to be inefficient. In order to increase efficiency of the 205 routes, it is suggested that the number of routes should be reduced. In addition, the analysis results on DEA using the Tobit calibration, the most significant factors affecting the operational efficiency index were the time taken, followed by the number of passengers and the number of passengers transferred.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.2
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• pp.1-14
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• 2021

It is highly challenging to measure the efficiency of electric vehicle charging stations (EVCSs) because factors affecting operational characteristics of EVCSs are time-varying in practice. For the efficiency measurement, environmental factors around the EVCSs can be considered because such factors affect charging behaviors of electric vehicle drivers, resulting in variations of accessibility and attractiveness for the EVCSs. Considering dynamics of the factors, this paper examines the technical efficiency of 622 electric vehicle charging stations in Seoul using data envelopment analysis (DEA). The DEA is formulated as a multi-period output-oriented constant return to scale model. Five inputs including floating population, number of nearby EVCSs, average distance of nearby EVCSs, traffic volume and traffic congestion are considered and the charging frequency of EVCSs is used as the output. The result of efficiency measurement shows that not many EVCSs has most of charging demand at certain periods of time, while the others are facing with anemic charging demand. Tobit regression analyses show that the traffic congestion negatively affects the efficiency of EVCSs, while the traffic volume and the number of nearby EVCSs are positive factors improving the efficiency around EVCSs. We draw some notable characteristics of efficient EVCSs by comparing means of the inputs related to the groups classified by K-means clustering algorithm. This analysis presents that efficient EVCSs can be generally characterized with the high number of nearby EVCSs and low level of the traffic congestion.

• Journal of Agricultural Extension & Community Development
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• v.23 no.4
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• pp.441-448
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• 2016

The study aims to explore the problems of analysis unit when examining management performance and efficiency using DEA (Data Envelopment Analysis). Generally the DEA results depend on input, output, and analysis units. We used data from Park (2012) which analyze paddy farmers in Jeonnam province. Results show that data from farm household unit was well fitted to examine management efficiency, not data from per area unit. This study will be helpful for researchers and practitioners to understand proper analysis unit when using the DEA for enhancing farm competitiveness.