• Proceedings of the Korean Nuclear Society Conference
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• 1997.05a
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• pp.172-177
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• 1997

검증 및 확인(V&V)의 속성상 Independent V&V는 반드시 필요 한 것으로 인식되고 실제로 규제 기준이나 여러 표준(Standard)들에서 그 요구사항들이 기술되고 있으나 그 기술 내용이 너무 단순, 추상적인 경우가 많아 구체적인 실현 방법에 있어서는 합의된 해결책이 제시되지 못하고 있는 실정이다. 이러한 문제점들을 해결하기 위해 본 논문에서는 원자력분야는 물론 프로세스와 군사 분야의 표준들과 기타 기술기준 자료들을 조사 분석하고 이를 기반으로 하여 원자력 분야, 특히 계측제어 계통의 Safety-critical 소프트웨어 개발에 따른 안전성과 경제성 문제가 고려되고 기술적, 관리적 측면에서 균형을 갖춘 V&V의 독립성 구현 방안에 대한 가이드를 제시하였다.

• International Area Studies Review
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• v.16 no.1
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• pp.101-122
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• 2012

This present paper examines stochastic cost functions of Malaysian commercial bank from 1991 to 1997 periods catches the changes un their management structure and technical efficiency. Then we also discuss policy implications for bank integration and competition policy which is the part of current financial reform that reinforces the banking sector. The present paper contributes to the expansion of their study in two respects. Firstly, we have estimated the cost function, availing ourselves of SEA based on a parametric approach. Secondly, our model also includes as a factor the existence of bad debts. According to our results, we observed economies of scale clearly, but economies of scope and technological progress were not observed. Regarding the policy implications, the result of our analysis suggests strongly that the current policy is appropriate.

• Journal of Korea Port Economic Association
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• v.28 no.2
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• pp.155-177
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• 2012

This paper aims at measuring the changes of Malmquist productivity and technical efficiency of Korean shipbuilding Industry and examinig their determinants utilizing the panel analysis. The increase of the technological progress was greater than technical efficiency, resulting in the increase of the total factor productivity for the period of 2004-2010. This study also employs the panel technique to analyse the effects of Employee, Dock, and Length on the changes of Malmquist productivity and technical efficiency. The dependent variables are obtained from three combinations, which are (Employee, Dock, and CGT), (Employee, Length, and CGT), and (Dock, and Length, and CGT). The empirical results show that all of the explanatory variables have a positive effect on the change of Malmquist productivity and technical efficiency.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.2
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• pp.191-204
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• 2024

This study analyzes the effects of manufacturing firms' R&D investment on sales according to global political economic uncertainty. The variables in this research include the firm's R&D investment, sales, which serves as an indicator of the firm's performance, and the Global Economic Policy Uncertainty (GEPU) index, which reflects situations of global political economic uncertainty. Panel data analysis is conducted by using a total of 96 quarters of data spanning 24 years from 2000 to 2023 based on manufacturing firms in the Wharton Research Data Services' Compustat Database. We study the impact of firm's R&D investment on sales by considering the Global Economic Policy Uncertainty index, which was relatively underestimated in previous research, as moderating variable, and present a new direction for research by analyzing the time lag effect. We suggest effective R&D investment strategy for firms.

• 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.

• Clean Technology
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• v.26 no.3
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• pp.168-176
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• 2020

The introduction of the Korea toxics use reduction (TUR) program to build a clean society is generally evaluated based on social economic criteria. Among various techniques, benefit-cost analysis is the most commonly used. This method is focused on the calculation and comparison of all the benefits and costs attributable to the TUR program. However, since it is reasonable to consider not only economic criteria but also policy criteria in the process of evaluation, it is necessary to reflect on the criteria weights found in the benefits and costs. This study aims at developing a new evaluation technique to achieve this purpose and apply it to the Korean TUR program to be implemented in 2020. This study selected competitiveness, toxic substances' emission reduction ratio, and health improvement as policy criteria. The Analytic Hierarchy Process (AHP) technique was initially used to calculate the weight and then, based on the results, the concept of information entropy introduced by Claude Shannon was used to eliminate subjective bias. As a result of the study, it was found that the revised benefit-cost analysis considering the weights of the policy criteria, as well as the existing economic criteria, could be a reasonable alternative in evaluating the feasibility of TUR regulations for highly toxic substances.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.385-392
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• 2013

A key element of the fog warning system to prevent large traffic accidents is a visibility measurement device. Recently, the need for it that is similar to the human visual sense and cheap and accurate than expensive fog sensors is increasing. In this paper, we present the performance evaluation and the economic analysis of the Road Visibility Measurement System (RVMS), which is developed for measuring the road visibility through a CCTV camera. For experiments, we have installed a CCTV camera, a fog sensor, and visibility signs at the Yeo-ju Test Road on the Central Inland Expressway. We evaluated the measurements from RVMS and the fog sensor based on observations. The result shows RVMS outperforms the fog sensor with respect to measurement stability and correctness. We also show RVMS has higher economic feasibility and various applications. RVMS can prevent the traffic accidents caused by severe fog and enhance the process of the wide-area visibility information system significantly.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.713-722
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• 2024

This study highlights the impact of Artificial Intelligence (AI) technology on journalism, discussing its utility and addressing major ethical concerns. Broadcasting companies and media institutions, such as the Bloomberg, Guardian, WSJ, WP, NYT, globally are utilizing AI for innovation in news production, data analysis, and content generation. Accordingly, the ecosystem of AI journalism will be analyzed in terms of scale, economic feasibility, diversity, and value enhancement of major media AI service types. Through the previous literature review, this study identifies key ethical and social issues in AI journalism as well. It aims to bridge societal and technological concerns by exploring mutual development directions for AI technology and the media industry. Additionally, it advocates for the necessity of integrated guidelines and advanced AI literacy through social consensus in addressing these issues.

• Journal of Korea Port Economic Association
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• v.26 no.4
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• pp.219-246
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• 2010

Countries around the world are propelling policies and strategies to strengthen the competitiveness of their own ports as they recognize the roles and importance of the ports in the international trade and logistics. The main objective of this study is to compare efficiencies of major container ports and analyze the factors that affect the efficiencies in the three regions of East Asia, Europe, and North America, which cover most of world container shipping. We employ DEA models in analyzing the efficiencies of 45 container ports using 5 input and 2 output variables. We also carry out regression analyses to estimate the impacts of each factor on the throughput (TEU), overall technical efficiency (OTE), pure technical efficiency (PTE), and scale efficiency (SE). The analysis results show that East Asian ports, despite being smaller in average size, make greater output and achieve higher technical and scale efficiencies than European or North American ports.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.11a
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• pp.71-76
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• 2015