• Journal of Korea Technology Innovation Society
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• v.20 no.2
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• pp.292-312
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• 2017

The purposes of this research are to verify: first, if the technology appraisal model reflects the company's management performance and the rates of bankruptcy and overdue; second, if the existing classification system of technology levels is suitable; and third, which is the most important appraisal factor that defines the classification system of technology levels. As a result of the analysis, financial performance (stability) and non-financial performance (technology environment) proved to be significant variables in explaining technology ratings. According to the verification of the suitability of classification system, it appeared that there is a significant difference in all appraisal items of all groups. The result of neural networks model verification indicates that the most important variable was the R&D capacity, the second variables which determine the suitability of technology financing were indicators related to the company management. The second variables which determine a company's technological excellence were a company's technological base. To summarize, the technology appraisal model not only reflects both managerial performance and risks of a company, but also anticipates the future by converging the management competence and technological competitiveness into R&D capacity. This implies that if the 'forward-looking' technology appraisal model is integrated into the existing, credit rating model, the appraisal model may have positive impact on improving anticipation and stability.

• Journal of Information Technology Services
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• v.20 no.3
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• pp.87-101
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• 2021

Since the introduction of block chain technology, its potential use in financial service area have been increasing, and financial firms are seeking ways to take advantage of the benefits of it. The purpose of this study is to present an approach to prioritize block chain-based services for bank. Toward this, we picked out potential financial services through focus group interview and derived the criteria that can be used in evaluating the priorities of block chain-based banking services in the same way. Then, we propose an analytic hierarchy process model to help decision makers prioritize the banking services while considering multiple criteria of technology issues, governmental regulations in the financial industry, cost, managerial issues, customers' needs, and the business opportunity for the bank. By using the analytic hierarchy process model, we can estimate the weighting coefficients to be assigned to each criteria and determine the order of priority in determining the best block chain-based service for the case study bank. The results show that banking login authentication would be forefront service, followed by money transfer, document notarization, and trade financing service in the order, and the trade financing could be most important service in terms of the business profitability for the bank in the future.

• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.324-331
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• 2020

This study used the financial information of 29 Regional public hospitals registered in the HASPA. Regional public hospitals analyzed the ratio of operating financing by management activities and how they affect net profit. The results of the study, Regional Public Hospitals ratio of fund financing for management activities was 83.50 percent for medical revenues, 9.53 percent for Incidental Revenue of Medical, 4.54 percent for Contribution Revenue, 4.42 percent for Other non-medical profits, 1.21 percent for depreciation Expense and 0.73 percent for Amount of reserve for unique purpose project. As a result of examining the effect of financing by management operation on net profit, the ratio of operating funds by medical revenue, by incidental revenue of medical, by contribution revenue and by other non-medical profits had a positive impact on net profit of Regional public hospitals. And It has been confirmed that the ratio of amount of reserve for unique purpose project has a negative impact on net profit. Therefore, it is necessary for Regional public hospitals to manage costs in consideration of revenues and internal reserves.

• KEPCO Journal on Electric Power and Energy
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• v.2 no.1
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• pp.133-141
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• 2016

Although construction of any new nuclear power projects had not been launched since mid-1970s until recently in the USA, many new nuclear power plants have been constructed in many countries with the support of their governments mainly as part of their national energy security and electric source diversification policies. For many reasons, the nuclear power industry seemed to reclaim their renaissance from the beginning of this century and the investment in the nuclear power projects draw positive concern from the private financial sector. But the global financial crisis in 2008 and subsequent economic slow-down together with tighter bank credit regulations caused commercial banks, the main source of financing, to lose appetite for investing in new nuclear power projects. But the nuclear power economics shows that the nuclear power is viable in terms of the environmental benefit and long-term average cost compared to other power generation sources. Also doubt about nuclear power safety was much mitigated due to technology development and reinforced safety-related tests and monitoring. Therefore, the prospect for nuclear power market expansion remains positive although there are comparatively big differences among different scenarios. After Korea Electric Power Corp. won the UAE nuclear power project in December of 2009, the competition in nuclear power markets is undergoing huge changes. Competitors backed by the support of their own governments are now entering the market with many aggressive and innovative financing packages to win bids of new nuclear power projects. This report analyzed the nuclear power market prospects, competitive edges of nuclear power, risk management measures, and financing challenges and recommends alternative solutions to promote competitive edges in winning bids of new nuclear power projects.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.5
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• pp.2142-2148
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• 2011

Managers in Business Incubator(BI) perform an important role to success of BI, but researches about what area of capability need to improve are limited. This study investigates the perceived gap between current capability and required capability of BI managers from BI managers' and CEOs' perspectives with a survey method. From the BI managers' perspective, improvement of most capabilities, such as financing support, R&D support and understanding of patents, and understanding of business of firms in BI, is needed. From CEOs' perspective, improvement of capability in financing and marketing support is needed.

• STI Policy Review
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• v.4 no.2
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• pp.55-73
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• 2013

Since the 1990s, the Japanese government has made considerable attempts at stimulating innovation with an aim to pull the country out of a possibly permanent economic decline. Several laws and policy initiatives were introduced to encourage better interaction between universities (and research institutions) and industry. The results of these efforts have been mixed. While the number of university-industry joint and commissioned research has increased, revenues from the licensing of university-owned patents have fluctuated year by year. Although the number of startups and spin-offs from universities rose, their long-term survival and contribution to the economy remain uncertain. The Japanese experience features both strengths and weaknesses. Strengths include the long-term commitment of policy makers, the ability to set specific targets, and the active engagement of several key economic ministries. Nevertheless, the effectiveness of these policy initiatives was hampered by limitations within the policies concerning the roles of universities and their mode of interaction with industry based on intellectual property rights, the inadequacy of demand-side innovation policies, the fragmentation of bureaucracy, and a lack of a credible evaluation system.

• The Journal of Information Technology
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• v.8 no.3
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• pp.159-176
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• 2005

The Purpose of this Article is to analyze the special settlement and electronic settlement system in the international trade. First, Factoring is a fast, easy and flexible way to improve a company's cash flow and generate working capital for the company. Factoring can be short-term or part of an ongoing financing program. New companies can benefit as well, since there is no requirement for a long-term credit history. Second, Forfaiting is a method of trade financing that allows exporters to obtain cash and be free of all risks by selling their medium term receivables on a 'without recourse' basis. Forfaiting can be an alternative to export credit or insurance cover, especially for those transactions in which the export credit agency is not open to a particular country and/or bank. Third, The Bolero System is jointly financed by SWIFT(Society for World International Financial Telecommunications) which handles most of the electronic funds transfer for banks, and the Through Transport Mutual Assurance Association(the TT Club), a mutual insurance association most of whose members are drawn from the Multimodal transport industry or transport intermediaries. Fourth, TradeCard is a payment and settlement system that is an alternative to letters of crdeit. That is, TradeCard is a business-to-business e-commerce infrastructure that enables buyers and sellers to conduct and settle international trade transactions securely over the Internet.

• Journal of Technology Innovation
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• v.28 no.1
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• pp.31-52
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• 2020

This study was started to verify the preliminary(Ex-ante) discrimination power of the firm's high-activity using the 'Forward-looking' oriented technology appraisal model used in technology financing. The analytical firms are classified into the industry (manufacturing / non-manufacturing) and the age of company (initial / non-initial). High-activity SMEs are defined as those that achieve at least twice the average asset turnover ratio of the cluster. As a result of the discriminant model by applying C5.0 method, which is one of decision tree models, classification accuracy is more than 99% in all industries and the age of company, and it is confirmed that the discriminant power of the model is stable. As a result, the management expertise, capital involvement and funding capacity items were identified as a critical variable for the high-activity SMEs. In addition, the technology management capability and technology life cycle were also confirmed to be the items to determine high-activity SMEs in the manufacturing industry. Through this, it was possible to confirm some possibility of prior discrimination and policy utilization of high-activity SMEs by using technology appraisal items.

• International Journal of Advanced Culture Technology
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• v.4 no.3
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• pp.1-5
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• 2016

The article discusses creation and development of venture investment mechanism in Russia. We analyze some tendencies of venture capital funds functioning which should be focused on the financing of development and production of high-tech products, for the period from the creation of the first funds of venture capital investment in 1994 to 2015. The study results may be of interest for business angels and venture capital funds, as well as for public authorities regulating the legal mechanisms to facilitate such investors.

• Journal of Korea Technology Innovation Society
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• v.10 no.2
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• pp.183-205
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• 2007

An investigation was undertaken of the optimal discriminant model for predicting the likelihood of insolvency in advance for medium-sized firms based on the technology evaluation. The explanatory variables included in the discriminant model were selected by both factor analysis and discriminant analysis using stepwise selection method. Five explanatory variables were selected in factor analysis in terms of explanatory ratio and communality. Six explanatory variables were selected in stepwise discriminant analysis. The effectiveness of linear discriminant model and logistic discriminant model were assessed by the criteria of the critical probability and correct classification rate. Result showed that both model had similar correct classification rate and the linear discriminant model was preferred to the logistic discriminant model in terms of criteria of the critical probability In case of the linear discriminant model with critical probability of 0.5, the total-group correct classification rate was 70.4% and correct classification rates of insolvent and solvent groups were 73.4% and 69.5% respectively. Correct classification rate is an estimate of the probability that the estimated discriminant function will correctly classify the present sample. However, the actual correct classification rate is an estimate of the probability that the estimated discriminant function will correctly classify a future observation. Unfortunately, the correct classification rate underestimates the actual correct classification rate because the data set used to estimate the discriminant function is also used to evaluate them. The cross-validation method were used to estimate the bias of the correct classification rate. According to the results the estimated bias were 2.9% and the predicted actual correct classification rate was 67.5%. And a threshold value is set to establish an in-doubt category. Results of linear discriminant model can be applied for the technology financing banks to evaluate the possibility of insolvency and give the ranking of the firms applied.