• Title/Summary/Keyword: Investment evaluation system

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Policies and Tasks for Improving Korean CM Industry (CM 산업 발전을 위한 정책 및 과제 추진 방안)

  • Kang, Seunghee;Jung, Youngsoo;Kim, Namjoon;Shin, Dongwoo
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.5
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    • pp.71-81
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    • 2014
  • As domestic construction investment has been gradually reduced, the issue of expanding overseas CM market has increased. Strengthening CM capability from the view point of project life-cycle is required in overseas CM market. However, current regulations institutionally force public CM services to focus on the construction phase. Therefore, Korean CM firms can hardly have the opportunities for accumulating technical competitiveness especially for pre-construction phase. Result of this study shows that the total efforts in terms of man-hours for the construction phase is found to be more than 78 percent in domestic public CM projects. In this context, this study proposes the policies and tasks for improving 'rigid man-hour placement', 'unreasonable CM fee standards', 'CM firm selection method', 'unreasonable business scope decision', and 'evaluation of owner's project management capability' in order to improve domestic CM Industry as well as to expand overseas CM market successfully.

Efficiency of Financing High-Tech Industries: The Case of Kazakhstan

  • SADYKHANOVA, Gulnara;EREZHEPOVA, Aiman;NURMANOVA, Biken;AITBEMBETOVA, Aida;BIMENDIYEVA, Laila
    • The Journal of Asian Finance, Economics and Business
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    • v.6 no.4
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    • pp.287-295
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    • 2019
  • The study aims to build a model for evaluating the effectiveness of activities and the effectiveness of financial investments in high-tech industries in Kazakhstan. The development of high-tech industries plays an important role in the economic growth of a country. In this regard, it is relevant to study the effectiveness of financing the most important industry in Kazakhstan. The development of the high-tech sector ensures the efficient functioning of the national innovation system. High-tech enterprises are one of the competitive sectors that allow us to develop and implement leading-edge innovations with the goal of their subsequent commercialization domestically and abroad. The author defines the multicriteria of efficiency in a knowledge-based economy associated with achieving an economic effect with multivariate correlation of results with costs. A multivariate dynamic model, an integral indicator of performance, an integral indicator of cost-effectiveness is proposed. The assessment of the effectiveness of financial costs and performance indicators in all regions of Kazakhstan have the positive dynamics of indicators, as well as a high economic effect. The results of the study can be applied in regional management to adequately assess the effectiveness of high-tech organizations and the effectiveness of financial investments, contribution to ensuring the economic security of the region.

Medical Equipment Purchasing Plan and Analysis of Actual Utilization (의료장비 도입계획과 실제이용에 대한 실태분석)

  • Lee, Hag-Sun;Yu, Seung-Hum;Lee, Hae-Jong;Kim, Sung-Kyu
    • Korea Journal of Hospital Management
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    • v.5 no.2
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    • pp.22-39
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    • 2000
  • The purpose of this study was to determine the difference between estimated profit and utilization of medical equipment upon purchasing and actual results at one teaching hospital in Seoul, Korea Medical equipments over $100,000 from 1992 to 1997 were selected and results were as follows: 1. Twenty equipments out of thirty exceeded estimated profits and the difference was 3.98 billion won and ten equipments did not reach the estimated profits and 5.5 billion won was the difference. Diagnostic equipment exceeded the estimated profit which surgical equipment didn't. 2. Eleven equipments exceeded estimated utilization, which showed 100%. In the mean time, eighteen equipments didn't reach the estimated utilization, which was 71%. Diagnostic equipment showed the less estimated utilization than surgical equipment 3. Twenty-one equipments showed the 6.83 billion won profits and nine equipments showed the 1.6 billion won deficits. Diagnostic equipment was more profitable than surgical equipment. Finally. diagnostic equipment helped improving hospital management than surgical equipment. 4. Main factors which showed the big difference from the initial plan were lacking reasonable estimated method, no evaluation system for purchase, emphasis in medical treatment, excessive expenditure in maintenance, duplicated investment for medical equipment and leadership commitment. As a result. Substantial planning is required from the requesting department in consideration of estimated profit and utilization and systematic quality control is needed to confirm. Also, One-sided decision making should be avoided to purchase a high cost medical equipment and efforts should be made in examining carefully and developing a reasonable analytic method.

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A study on Value and Application of Mobile Harbor in Terms of Coastal Transportation (모바일하버(Mobile Harbor)의 가치와 활용방안에 대한 연구 - 연안운송 중심으로 -)

  • Shin, Chang-Hoon;Jeong, Su-Hyun;Park, Soo-Nam
    • Journal of Navigation and Port Research
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    • v.34 no.3
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    • pp.221-228
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    • 2010
  • As container traffic is increasing, the introduction of mega-vessel has had a significant impact on the ports and terminals business. This movement of container shipping has led to intensely competitive environment among ports, so substantial pressures to develop new container ports or to expand existing ones, have been grown. However, it requires a huge investment, especially cost and time, to overcome environmental, geographical and financial restrictions generated from developing a port. This study addressed the Mobile Harbor, the new concept of marine logistics system as an alternative strategy. We performed an economic analysis on the introduction of the Mobile Harbor in coastal transport sector and also a sensitivity analysis to examine the effects of changing factors related on the economic evaluation. We have examined the value and application of Mobile Harbor as a preliminary study, which may contribute to further studies on the Mobile Harbor.

Evaluation of Overall Heat Transfer Coefficient of Different Greenhouse Thermal Screens Using Building Energy Simulation (BES를 이용한 온실용 보온커튼의 관류열전달계수 산정)

  • Rasheed, Adnan;Lee, Jong Won;Lee, Hyun Woo
    • Journal of Bio-Environment Control
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    • v.27 no.4
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    • pp.294-301
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    • 2018
  • In winter, thermal screens are widely used to reduce heat loss from greenhouse to save energy. Unfortunately, not much data are available to the farmer to compare thermal screens while selecting the one that meets their specific requirements. Thus, there is a need to investigate the thermal performance of thermal screens. To address this issue, the Building Energy Simulation (BES) model of a hot box was used to calculate the overall heat transfer coefficient (U-value) of the thermal screens. To validate the model, computed and experimental U-values of single-and double-layered polyethylene (PE) material were compared. This validated model was used to predict the U-values of the selected thermal screens under defined weather conditions. We quantified the U-values of each selected material and significant changes in their U-values were noted in response to different weather conditions. Notably, the thermal properties of the tested screens were taken from the previous literature to calculate U-values using the BES model. The U-values of the thermal screens can help researchers and farmers evaluate their screens and make pre-design decisions that suit their investment capabilities.

A Study on the Success Factors of Innovation Cluster: A Case of the Pangyo Techno Valley in South Korea (혁신클러스터의 성공 요인에 관한 연구 : 판교테크노밸리 사례를 중심으로)

  • Chung, Giduk;Im, Jongbin;Chung, Sunyang
    • Journal of Korea Technology Innovation Society
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    • v.20 no.4
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    • pp.970-988
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    • 2017
  • As an innovation cluster has become an important policy tool for attaining regional and national competitiveness, many nations and regions are making great efforts to foster innovation clusters. In the case of Korea also, many innovation clusters have been established and some of them are recently receiving a lot of attention due to their performance. In fact, there have been lots of investment by the central and regional governments. However, there have been no in-depth analyses on Korean successful innovation clusters. This study investigates some of the success factors of a Korean representative innovation cluster, Pangyo Techo Valley. We find out that the Pangyo Techno Valley has four groups of success factors: innovative environment, consistent policy support by regional government, knowledge networks, and good feed-back system of innovation. Our findings would have some theoretical and practical implications for innovation cluster research and policy practice.

The Effect of Local Residents' Recognition Factors on Drone Capability on Industry Revitalization - On the basis of demand satisfaction - (지역주민의 드론 역량 강화요인 인식이 산업 활성화에 미치는 영향 - 수요만족도를 매개로 -)

  • Han, Gab-Su
    • Journal of the Korea Convergence Society
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    • v.10 no.11
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    • pp.125-130
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    • 2019
  • The utilization and value of drones are increasing throughout society. However, there was a lack of government support and investment such as lack of technology of domestic drone companies, regulation of loans and lack of technology evaluation items. Therefore, this paper conducts statistical analysis to derive what drone capacity should be strengthened for the drone industry activation in Daegu. As a result, the demand satisfaction(price, quality, service) of drones leads to revitalization of drone industry when the physical, social, and policy factors among drones are strengthened. In conclusion, drone capacity to be strengthened in order to revitalize the drone industry in Korea is based on physical factors(drone demand, development, number of registrations, number of businesses and workers), social factors(national level public relations, establishment of public education institutes, correct understanding of drone occupation, preception), policy factors(privacy measures, government funding, legislation and system easing). As for the three factors, the government, industry, and drone operators are expected to have a bright future when the trinity is improved and complemented.

A Model of Artificial Intelligence in Cyber Security of SCADA to Enhance Public Safety in UAE

  • Omar Abdulrahmanal Alattas Alhashmi;Mohd Faizal Abdullah;Raihana Syahirah Abdullah
    • International Journal of Computer Science & Network Security
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    • v.23 no.2
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    • pp.173-182
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    • 2023
  • The UAE government has set its sights on creating a smart, electronic-based government system that utilizes AI. The country's collaboration with India aims to bring substantial returns through AI innovation, with a target of over $20 billion in the coming years. To achieve this goal, the UAE launched its AI strategy in 2017, focused on improving performance in key sectors and becoming a leader in AI investment. To ensure public safety as the role of AI in government grows, the country is working on developing integrated cyber security solutions for SCADA systems. A questionnaire-based study was conducted, using the AI IQ Threat Scale to measure the variables in the research model. The sample consisted of 200 individuals from the UAE government, private sector, and academia, and data was collected through online surveys and analyzed using descriptive statistics and structural equation modeling. The results indicate that the AI IQ Threat Scale was effective in measuring the four main attacks and defense applications of AI. Additionally, the study reveals that AI governance and cyber defense have a positive impact on the resilience of AI systems. This study makes a valuable contribution to the UAE government's efforts to remain at the forefront of AI and technology exploitation. The results emphasize the need for appropriate evaluation models to ensure a resilient economy and improved public safety in the face of automation. The findings can inform future AI governance and cyber defense strategies for the UAE and other countries.

Initial Adoption and Convergence of Accounting System under the K-IFRS by the Quasi-Government Entity : A Case of National Research Foundation of Korea (준정부기관의 한국채택국제회계기준(K-IFRS) 도입 및 회계시스템 융합과정의 주요 회계현안과 시사점 -한국연구재단 도입사례를 중심으로-)

  • Kim, Do-Hyeong;Oh, Kwang-Wuk;Park, Sung-Jong
    • Journal of Digital Convergence
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    • v.13 no.9
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    • pp.57-75
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    • 2015
  • The study introduces the case of initial adoption and convergence of accounting system under the K-IFRS by the quasi-government entity, the National Research Foundation of Korea(NRF). Followings are the methodology used in the study. (1) The study provides several accounting issues, their impact on the financial information of the NRF and implications about NRF's financial information in the course of convergence of accounting system under the K-IFRS. (2) As examples of accounting issues, the NRF reflected several accounting difference such as revaluation of fixed assets, economic useful life, depreciation method, reclassification of investment, representation of transfer revenue from the government, the timing of revenue recognition, and employ benefits, etc. As results of adjustments under the K-IFRS, the NRF decreased 1,109 billion of total assets and 1,064 billion of total liabilities. Also, increase in operating expenses results a slight decrease in net income, which may have an impact on future management evaluation of the NRF. A successful case of K-IFRS adoption by the NRF which brings deep insight on adoption and convergence of new accounting system to other quasi-government entity.

Development of the Regulatory Impact Analysis Framework for the Convergence Industry: Case Study on Regulatory Issues by Emerging Industry (융합산업 규제영향분석 프레임워크 개발: 신산업 분야별 규제이슈 사례 연구)

  • Song, Hye-Lim;Seo, Bong-Goon;Cho, Sung-Min
    • Journal of Intelligence and Information Systems
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    • v.27 no.3
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    • pp.199-230
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    • 2021
  • Innovative new products and services are being launched through the convergence between heterogeneous industries, and social interest and investment in convergence industries such as AI, big data-based future cars, and robots are continuously increasing. However, in the process of commercialization of convergence new products and services, there are many cases where they do not conform to the existing regulatory and legal system, which causes many difficulties in companies launching their products and services into the market. In response to these industrial changes, the current government is promoting the improvement of existing regulatory mechanisms applied to the relevant industry along with the expansion of investment in new industries. This study, in these convergence industry trends, aimed to analysis the existing regulatory system that is an obstacle to market entry of innovative new products and services in order to preemptively predict regulatory issues that will arise in emerging industries. In addition, it was intended to establish a regulatory impact analysis system to evaluate adequacy and prepare improvement measures. The flow of this study is divided into three parts. In the first part, previous studies on regulatory impact analysis and evaluation systems are investigated. This was used as basic data for the development direction of the regulatory impact framework, indicators and items. In the second regulatory impact analysis framework development part, indicators and items are developed based on the previously investigated data, and these are applied to each stage of the framework. In the last part, a case study was presented to solve the regulatory issues faced by actual companies by applying the developed regulatory impact analysis framework. The case study included the autonomous/electric vehicle industry and the Internet of Things (IoT) industry, because it is one of the emerging industries that the Korean government is most interested in recently, and is judged to be most relevant to the realization of an intelligent information society. Specifically, the regulatory impact analysis framework proposed in this study consists of a total of five steps. The first step is to identify the industrial size of the target products and services, related policies, and regulatory issues. In the second stage, regulatory issues are discovered through review of regulatory improvement items for each stage of commercialization (planning, production, commercialization). In the next step, factors related to regulatory compliance costs are derived and costs incurred for existing regulatory compliance are calculated. In the fourth stage, an alternative is prepared by gathering opinions of the relevant industry and experts in the field, and the necessity, validity, and adequacy of the alternative are reviewed. Finally, in the final stage, the adopted alternatives are formulated so that they can be applied to the legislation, and the alternatives are reviewed by legal experts. The implications of this study are summarized as follows. From a theoretical point of view, it is meaningful in that it clearly presents a series of procedures for regulatory impact analysis as a framework. Although previous studies mainly discussed the importance and necessity of regulatory impact analysis, this study presented a systematic framework in consideration of the various factors required for regulatory impact analysis suggested by prior studies. From a practical point of view, this study has significance in that it was applied to actual regulatory issues based on the regulatory impact analysis framework proposed above. The results of this study show that proposals related to regulatory issues were submitted to government departments and finally the current law was revised, suggesting that the framework proposed in this study can be an effective way to resolve regulatory issues. It is expected that the regulatory impact analysis framework proposed in this study will be a meaningful guideline for technology policy researchers and policy makers in the future.