• The Journal of the Korea Contents Association
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• v.17 no.10
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• pp.216-230
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• 2017

The purpose of this study is to analyze the economic effectiveness of advanced enterprise welfare system utilizing DEA(Data Envelopment Analysis) and contribute to the adoption and implementation of the system conducted by Korea Workers' Compensation & Welfare Service(COMWEL). We classified 48 sample data into 3 categories : A category(basic consulting & intensive consulting, adoption) is 36, B category(basic consulting & intensive consulting, non-adoption) is 5, and C category(only basic consulting, adoption) is 7. A consulting fee is used as input variable, earning per employee and average employee tenure are used as output variables. As a result from DEA, we find out the fact that the economic effectiveness of A category is better than the economic effectiveness of B and C category and it comes to the conclusion that the consulting service provided by COMWEL has a positive effect on the adoption and implementation of advanced enterprise welfare system. Therefore, COMWEL is required to perform consulting service to small & medium business more actively and is needed to look at the reason why some businesses hesitate to accept the relevant system.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2455-2464
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• 2013

This study is focused on the effect of reformation of public transportation system on the efficiency of bus route system as a result of change of government subsidy scheme. Two types of government subsidy scheme has been considered and before and after analysis by Data Envelopment Analysis technique has been carried out for bus routes in Ulsan Metropolitan City. The analysis output has shown that there is no clear evidence to clarify the relationship between the change of government subsidy scheme and the efficiency of bus route system. There are two types of backgrounds may be suggested for this situation such as more longer period necessary to identify the policy effect and limitation to increase the number of passenger in a provincial city. Tobit regression analysis has also been conducted to discover the most effective variables for maximum efficiency and three variables including route length, frequency per vehicle per day, and headway are found to be influential. It is also seen that strategy to minimising input factors and service upgrade plan such as shortened route length and headway, increasing frequency per vehicle are necessary to develop the efficiency of bus routes operated in Ulsan city.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.425-427
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• 2012

본 논문에서는 방사적(radial) 및 비방사적(non-radial) DEA 모형을 사용하여 광산업(Photonics)의 효율성 지수를 측정하고 그 결과를 비교 분석 하였다. 분석결과, 업종별로는 광전변환기기, 광재료, 관측검사기기 분야의 효율성 지수가 1(100%)로 나타나 가장 생산적인 규모의 상태인 것으로 나타났으며, 대부분의 업종에서 종업원수의 과잉투자가 두드러지게 나타났다. 이러한 결과는 실제 투입된 인력 수준에 상응하는 성과가 실현되지 못하고 있음을 시사하는 것으로 종업원의 생산효율성을 높이려는 노력이 필요함을 알 수 있다.

• Journal of the Korean Society for Railway
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• v.10 no.1 s.38
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• pp.74-83
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• 2007

Japanese railroad companies continued growing by developing diversification based on the railroad enterprise. However, the diversification strategy of railroad companies reached the management limit in the 1990s. Under the long-term economic depression, Aging and a decrease in the birthrate progressed and passenger transport changed to the downward tendency. Nevertheless, since railroad investment was expanded, business results worsen and price competitiveness with JR East became weak. Futhermore, the business results of a diversification enterprise were bad compared with it of a railroad enterprise. Therefore, group management was thought as important and structural reform was carried out resolutely.

• Journal of Korea Port Economic Association
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• v.32 no.2
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• pp.123-135
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• 2016

This study uses Data Envelopment Analysis(DEA) to investigate the management efficiency of Korean shipping companies based on business administration costs such as corporate entertainment, advertisement, and labor costs. We analyze shipping enterprises listed on the Korean stock market of the period of 2010-2014. Corporate entertainment, advertisement and labor costs are used as input variables and sales and net income are used as output variables. We use technical efficiency, pure technical efficiency, scale efficiency and returns to scale to propose a plan to improve the efficiency of inefficiency decision-making units (DMUs). The results of the efficiency analysis show that six of the DMUs in the technical efficiency of CCR model and eight of the DMUs in the pure technical efficiency of BCC model are in efficient state. In terms of return to scale, six of the DMUs(24% of all DMUs) show increasing returns to scale, while 13 DMUs(52% of all DMUs) showdecreasing returns to scale. Because multiple efficient state for DMUs exist in the technical efficiency analysis, we conduct a super efficiency analysis. The results show that the efficient state of the twomost efficient DMUs are 1.314 and 1.243, respectively. This implies that these DMUs could maintain their current levels of the efficiency if they increase the amount spent on advertisements, corporate entertainment and labor costs by 31.4% and 24.3%. respectively. We conclude this study by providing the efficiency states of each DMU and target for improving the inefficiencies in each case.

• Knowledge Management Research
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• v.22 no.4
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• pp.237-260
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• 2021

This study aims to make suggestions for more effective budget utilization and R&D project investment through verification of the efficiency of research results for the government's R&D projects. Efficiency was analyzed using Data Envelope Analysis(DEA) and 'Malmquist Index analysis' for the research results of convergence research projects organized by the National Science and Technology Research Association. The analysis targets were convergence research projects organized by the National Science and Technology Research Association and general entrusted research projects by government-funded research institutes, and dynamic analysis was conducted using DEA and Malmquist Index analysis. As a result of the analysis, the convergence research project showed high efficiency from the static perspective of DEA. On the other hand, from a dynamic perspective through the Malmquist Index analysis method, the efficiency of the general consignment project gradually declined, while the efficiency of the convergence research project improved every year. This suggests that convergence studies have higher results than general studies. Through the results of this study, we intend to present objective standards for performance evaluation of government R&D investment and provide objective implications for rational investment policies and research project planning of research personnel and research funds to improve efficiency for government-funded research institutes.

• Industry Promotion Research
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• v.9 no.4
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• pp.121-133
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• 2024

This study aimed to evaluate the R&D efficiency of Daejeon Metropolitan City's regional industries and to derive policy implications for enhancing the competitiveness of regional industries. To achieve this, Data Envelopment Analysis (DEA) and Malmquist Productivity Index (MPI) were employed to analyze the efficiency and productivity changes of 16 Decision-Making Units (DMUs) in Daejeon's key industries from 2013 to 2022. The DEA analysis revealed that certain industry groups, such as the Research Industry (2013-2014), Bio Industry (2013-2014), and Metal Industry (2015-2017), demonstrated high efficiency by optimizing resource utilization. These industries were found to effectively maximize outputs by efficiently using resources in their R&D activities. On the other hand, some industries, such as the Knowledge Industry (2013-2014) and Wireless Communication Industry (2015-2017), recorded relatively low efficiency, indicating the need for improvements in resource utilization and operational strategies. The Scale Efficiency (SE) analysis showed that some industries were not operating at an optimal scale. Furthermore, the MPI analysis, which evaluated productivity changes over time, confirmed that technological progress and changes in technical efficiency significantly impacted industry-specific productivity. Efficiency changes over time were recorded as 70.96% (13-'14), 70.317% (15-'17), 68.59% (18-'20), and 76.57% ('21-'22), with a 28.38% improvement potential over ten years.

• Korean Journal of Social Welfare
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• v.52
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• pp.117-141
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• 2003

This study is to identify the efficiency in Busan social welfare agencies between input factors and output factors. For this purpose, gathered are the 2001 services reports of those study agencies. This study used 4 difference model, model 1; comparing input factor(social worker number & labor cost) about output factor(the total number of program used person), model 2; comparing input factor(the total number of social welfare agencies staff & the total working expenses) about output factor(the total number of program used person), model 3; comparing input factor(the total number of volunteer, social welfare agencies staff & a period of operation) about output factor(the total number of program used person), model 4; comparing input factor(the total number of volunteer, social welfare agencies staff, a period of operation & the total working expenses) about output factor(the total number of program used person). Charnes's study(1978) provided an analytical tool for efficiency services output of non-profit organizations, and DEA(Data Envelopment Analysis) was a analytical framework for evaluating the impact of social service outcome. the finding are as follows : (1) In the results of comparing 4 models as same standard, we can find 35-55%(16-25) efficiency agencies among the 45 social welfare agencies. (2) For all DMU becoming the efficiency 1 to standard of output factor, model 1; 33 agencies are increasing the social worker number($\Delta$0.8 number), 10 agencies are raising the labor cost of social worker($\Delta$1,189,000 Won), model 2; 30 agencies are increasing the total number of social welfare agencies staff($\Delta$1.25 number), 14 agencies are raising the total working expenses($\Delta$1,447,000 Won), model 3; 8 agencies are increasing the total number of social welfare agencies staff($\Delta$2.26 number), 14 agencies are increasing the total number of volunteer($\Delta$52 number), and 10 agencies are increasing a period of operation($\Delta$13 month), model 4; 24 agencies are increasing the total number of social welfare agencies staff($\Delta$1.8 number), 12 agencies are raising the total working expenses($\Delta$5,017,000 Won), 12 agencies are increasing the total number of volunteer($\Delta$43.2 number), and 23 agencies are increasing a period of operation($\Delta$16 month).

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.1
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• pp.225-235
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• 2020

The Korean government is attempting to promote technology-based start-ups and venture firms that can lead to new national growth engines being developed. Although government support policies focus on improving survival rates, strategic tools for sustainability management based on a continuing company's assumption are also relevant. Previous studies indicate corporate social responsibility (CSR) as an important strategic tool for the management of corporate sustainability. This research is an exploratory study that seeks to empirically analyze the applicability of such CSR to venture firms. Existing previous studies have been carried out by large companies and surveys, and there are limitations that do not reflect the characteristics of companies. To complement the shortcomings of previous studies and propose practical consequences, this study conducted an empirical analysis using raw data from government approval statistics to identify the growth stages of venture firms. Using the 2018 Survey of Korea Venture Firms, we identified the growth stages of domestic venture firms and used the data envelopment analysis (DEA) to investigate the effect of CSR activities on managerial efficiency. The analysis found that CSR during start-up and early growth cycles did not affect managerial performance. The organization that conducted enthusiastic CSR activities performed better than those that did not perform CSR activities since the rapid growth era. Ultimately, the scale efficiency of venture business was the highest from the rapid growth era when the CSR was not done. This study is a pioneering study that found that after the period of high growth, venture firms' CSR activities can affect managerial performance. Therefore, it is important to advise applicable policies and business decision-makers that CSR practices can be a tactical resource for improving performance of management.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.6
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• pp.895-906
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• 2018

The improvement project for school zone in Korea is occurring mostly in kindergartens and elementary schools in which children are mainly active, and is being promoted as part of measures to prevent children's traffic accidents. However, since the study on the essential installation facilities and proper level of safety facilities for School zone is lacking, this study relatively evaluated the efficiency of safety facility installation using DEA (Data Envelope Analysis) and suggested improvement plan. We built the facilities and incident data for 28 school zones in Hwaseong City. Six major facilities (Raised intersection, Raised crosswalk, Protective fence, Skid Proof, Speed hump, Speed cameras) that have proven to be effective in the preceding research were analyzed as input factors. As a result of the analysis, only 12 out of 28 showed efficiency and 16 out of efficiency. Effective groups of school zones were found to have fewer installed Protective fences, Skid Proof, and Speed cameras installations than school zones classified as ineffective groups. Protective fences were found to be efficient even if only 47% of the total extension of the school zone was installed, and the number of slip prevention facilities was 8.7 per square km. The number of subjects to be compared is 28, so this study is limited to use as a relative efficiency evaluation index, and it can be grouped into nationwide units and efficiency evaluation can be done for each group.