• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.10
• /
• pp.6823-6831
• /
• 2015

The purpose of this study is to analyse cucumber farms managing efficiency and to draw some factors needed to maximize farms production efficiency. After reviewing and analysing some cucumber farms main management index in detail, we found that, compared to scale improvement, technical efficiency has more potential to increase cucumber farms income. Moreover There is a positive correlation between cucumber production and farms pure technical efficiency slightly, but because of the degree, we suggested to reduce input elements for enhancing pure technical efficiency under certain conditions.

• Journal of Information Management
• /
• v.41 no.2
• /
• pp.111-131
• /
• 2010

This paper examines the levels and influence factors on efficiency of public libraries in metropolitan cities. For this purpose, In the first stage, the efficiency score analysis of 129 sample public libraries has been undertaken. In the second stage, the efficiency scores obtained from the first stage are regressed on environmental factors. The result of this study shows that : (1) main source of technical inefficiency is pure technical inefficiency rather than scale inefficiency; (2) it is positive effect environmental factors on the efficiency that the population, the dummy variable of capital area.

• The Journal of the Korea Contents Association
• /
• v.22 no.5
• /
• pp.383-392
• /
• 2022

Culture technology is contributing to the creation of new values through convergence with other industries. The government is also actively investing in R&D in this field to secure competitiveness. In this study, the R&D efficiency of culture technology is analyzed by characteristics. Data envelopment analysis and non-parametric tests are performed on 968 national research projects in 2016-2019. As a result, it is confirmed that there are a difference in R&D efficiency according to the characteristics of national research projects in culture technology sector. This suggests that when planning national research projects for culture technology, these characteristics should be taken into consideration and strategically promoted.

• Journal of Korea Port Economic Association
• /
• v.34 no.1
• /
• pp.51-64
• /
• 2018

The purpose of this paper is to analyze the productivity change of the Korean shipbuilding industry between 2001-2008 and 2008-2015 by using MPI(Malmquist Productivity Index) to decompose the sources of total factor productivity growth into technical efficiency change, scale efficiency change, pure efficiency change, technical change. The empirical results are as follows. In the first half of the year (2001-2008), productivity increased by 2.8%, which was due to technological advances rather than technical efficiency. In the second half (2008-2015), productivity change declined by -3.4%. This is attributable to the technical efficiency deterioration and technological degeneration caused by a decrease in shipbuilding orders due to the global economic downturn after the global financial crisis and the rise of Chinese shipbuilding industry. In the first half of the period, productivity change was higher than in the second half. Especially, the difference between the two periods is attributed to the technical change and it was proved by statistical verification. The policy implications of this paper suggest that the government and each DMU need to develop new technologies to cope with changes in the global shipbuilding industry environment and strategies to eliminate inefficiencies in order to increase productivity in the future.

• Proceedings of the Korean Society of Disaster Information Conference
• /
• 2023.11a
• /
• pp.123-124
• /
• 2023

현대 산업현장에서의 생산성과 경쟁력은 안전 및 작업 효율성과 직결되어 있다. 특히, 4차 산업혁명의 중심축인 인공지능(AI) 기술의 발전이 산업현장의 작업 환경과 절차를 혁신하는 데 중요한 역할을 하고 있음이 점차 명확해지고 있다. 이 연구는 인공지능의 기술적 발전과 산업현장의 작업 안전성 및 효율성 간의 관계에 초점을 맞추어, 어떻게 AI 기술의 도입과 활용이 산업현장의 미래를 형성하고 있는지를 탐구하였다.

• Journal of Korean Society of Forest Science
• /
• v.103 no.4
• /
• pp.639-645
• /
• 2014

This study was conducted to evaluate the management efficiency of oak mushroom farms in Korea using the Data Envelopment Analysis (DEA), which is one of the non-parametric estimation methods. The data that was analyzed in this study was from the result of 2013 survey entitled "Standard Diagnostic Table for Oak Mushroom Management", which was conducted from March 2012 to October 2012. This survey was based on the inputs and outputs of 20 oak mushroom farms. Specifically, this study analyzed the technical efficiency, pure-technical efficiency and scale efficiency using CCR and BCC model of the DEA methods. Furthermore, this study compares the management efficiency between the full time oak mushroom production farms and part time oak mushroom production farms. Results showed that mean value for the technical efficiency was 0.655 which is considered as inefficient in general. For the pure-technical efficiency and scale efficiency, the mean values were 0.830 and 0.747, respectively which showed that inefficiency in the management was observed in the mushroom farms. Results also showed that there were seven farms with a total efficiency of 1, namely Decision Making Unit(DMU)2, DMU5, DMU6, DMU8, DMU10, DMU15 and DMU20. The management efficiency of DMU7 specifically the inputs for production was analyzed and compared to DMU5 and DMU6 and results showed that the DMU7 had an excessive inoculation and site development cost. Lastly, it was also observed that the full time mushroom production farms were more efficient as compared to the part time mushroom farms because of the lower scale efficiency value or smaller area for mushroom production allotted in the part time farms.

• Journal of the KSME
• /
• v.50 no.7
• /
• pp.41-46
• /
• 2010

이 글은 수송에너지 분야의 효율성 향상 기술에 대한 전망을 다룬다. 먼저 현재 자동차 산업/시장의 환경과 고효율 기술들을 소개한다. 아울러 항공과 선박 부문 기술의 현황/발전 가능성을 분석한 뒤 미래 수송에너지 시장에 대한 종합적인 대응 방안에 대해 요약하고 있다.

• Journal of Korea Technology Innovation Society
• /
• v.14 no.2
• /
• pp.205-222
• /
• 2011

The Korean government continuously increases the R&D investment in order to pursue an economic growth through technological innovation. Hence, the intensity of governmental R&D has increased rapidly. However, the whole amount of the R&D investment is still small compared to developed countries. And the type of R&D policies is more and more changing from the catch-up model to the technology-driven model. Therefore, there is a growing interest in the efficiency of public R&D investment. Hence, many studies on the efficiency of R&D investment have been researched. This study estimated the efficiency of governmental R&D programs considering the technological outcomes, e.g. theses, patents and so on, using DEA(Data Envelopment Analysis) with data of S&T investment and outcomes from NTIS(National S&D Information Service). In addition, we used the Mann-Whitney Test to investigate the characteristics of governmental R&D investment.

• The Journal of the Korea Contents Association
• /
• v.10 no.12
• /
• pp.290-299
• /
• 2010

This study aims to evaluate the efficiency of superior appraisal corporations using DEA(Data Envelopment Analysis). DEA is known as a method for evaluating relative efficiency of organizations with multiple inputs and outputs. We used CCR-O and BCC-O DEA models to evaluate relative efficiency of superior appraisal corporations. Input variable is number of appraisers, output variables are total sales and net income. Total of 13 appraisal corporations in Korea were selected for this study, and the data were collected from financial reports for 2008 fiscal year. The result of this study is summarized as follows. First, the average of superior appraisal corporation's technical efficiency score is about 88.3% by applying CCR-O model. Second, the average of superior appraisal corporation's pure technical efficiency score is about 90% and scale efficiency score is about 98.2% by applying BCC-O model. According to the result of DEA, the cause of inefficiency is pure technical efficiency.

• Journal of Korea Port Economic Association
• /
• v.26 no.4
• /
• pp.188-206
• /
• 2010

Data Envelopment Analysis(DEA) is an operations research-based method for measuring the performance efficiency of decision units that are characterized by multiple inputs and outputs. DEA has been applied successfully as a performance evaluation tool in many fields. However, it has not been extensively applied in the shipbuilding industry. This paper applied the input-oriented DEA model, and Malmquist indices to the 7 shipbuilding firms to measure the efficiency and productivity changes during the period of 2004 to 2009. The Malmquist indices will be decomposed into three components such as pure efficiency change, scale efficiency change, and technical change. The empirical results show the following findings. First, the DEA findings indicate that main source of inefficiency is scale rather than pure technical. Second, the Malmquist indices show that an overall decrease in productivity.