• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.173-185
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• 2017

본 논문에서는 해양 및 수산 분야의 투자용 기술력평가모형 개발을 위하여 민간 VC투자 활성화를 위한 평가기법 선행조사를 수행하며, 국내 관련 전문기관 등의 기술투자 관련 기술력평가 모형개발과 활용수준 등을 조사하고, 해외 관련 전문기관의 기술평가모형 현황에 대한 조사·분석을 수행하였다. 또한 투자용 기술력평가 모형의 용도와 방향 설정을 위하여 국내 기술투자 관련 전문가 그룹을 활용하여 기술공급자와 수요자 관점에서의 견해를 반영한 투자모형의 용도와 방향설정을 제시하였다. 결과적으로 기술투자 목적의 평가요인을 도출하고, 기술투자자 입장의 평가결과 유효성 검증을 통해 평가결과의 실무적 활용성을 제고시키고자 한다. 기술보증기금에서 개발한 기존의 투자용 기술력평가 모형이 많은 타 기관에 파급되어 운영되고 있지만, 활용수준이 미미한 점을 검토하여 VC의 투자의사결정 요소에 관한 연구결과를 기반으로 해양수산분야 투자용 기술력평가 신규모형을 설계하였다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.289-303
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• 2017

기술력평가는 기술사업화 주체가 기술을 사용하여 수익을 창출할 수 있는 능력을 평가하기 위한 것으로, 국내 기술성 평가기관들이 각자 독자적인 평가 모형을 활용하여 평가를 수행해오고 있다. 특히 최근에 개발된 해양 및 수산 산업 분야의 기술력 평가모형은 타 산업 대비 열악한 기술개발 환경과 연구개발 성과를 대상으로 평가를 수행해오면서 기존의 평가체계 내에서는 많은 평가대상 기술들이 부적합 판정을 받아오고 있었다. 이러한 것은 기존 평가체계가 타 산업에서 활용되고 있는 공통적인 평가지표와 평가척도를 유사 또는 동일하게 사용하면서 발생되는 문제점으로 인식되었고, 또한 해양 및 수산 산업의 특수성이 반영되지 않은 평가체계에서 비롯된 것으로 파악되고 있다. 따라서 본 연구를 통해 기존 평가체계를 해양수산 산업의 특수성을 반영할 수 있는 평가체계로 개선하여 해당 산업에 특화될 수 있는 평가체계를 새롭게 제안하고자 하며, 이를 위해서 기존 평가지표의 개선, 시뮬레이션 기반의 평가척도의 재설정 방법과 평가등급 산출방법에 대한 새로운 제안을 하고자 한다. 마지막으로 개선된 기술력평가 체계를 활용하여 시범사례평가를 수행하여 기존 평가체계를 통한 평가결과의 Gap분석을 수행하고자 한다.

• 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.

• Information Systems Review
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• v.22 no.1
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• pp.73-89
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• 2020

This study started to identify the "Forward-looking" of the technology appraisal model introduced to diversify financing methods of SMEs and improve financial accessibility. The multivariate regression analysis was performed by setting the business performance(growth, profitability, and stability) of technology financing companies as dependent variables, technology appraisal items as independent variables, number of employees, age of the company, asset and the Korea Standard of Industry Classification related to firm size and industry characteristics as control variables. As a result of the analysis, the technology appraisal items did not explain the profitability of the company significantly and had a limited explanatory power on growth potential. However, in terms of stability, we confirmed that R&D capacity is a significant variable explaining the debt ratio of technology financing companies. Therefore, it is concluded that the 'Forward-looking' reflection on the growth and profitability of the company should be strengthened in the future adjustment of the technology appraisal model and the development of the technology appraisal model for investment.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.941-967
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• 2017

제조혁신 기술로서 엔지니어링 모델링 & 시뮬레이션(이하, Eng. M&S) 기술은 제조패러다임을 바꿀 대안기술로 주목되고 있으며, 해당분야 국가수준에서의 기술정책 육성을 위해 경쟁력 분석이 우선적으로 선행되어야 한다. 이를 위해 제조업에서 Eng. M&S가 갖는 의미를 고찰하고, 기존에 정립된 특허, 논문 계량 분석 경쟁력 평가모형을 기반으로 Eng. M&s 기술적 특성을 반영한 시장 관점에서 지표를 추가하여 Eng. M&S 기술에 대한 각국의 경쟁력을 도출을 시도하였다. 또한 모형의 통계적 검증을 통해 기존 계량정보 기반 평가모형보다 다양한 정보에 의한 높은 설명력을 확인하였고, 이에 따라 추가된 시장지표의 유용성을 확인할 수 있었다. Eng. M&S 기술경쟁력 분석 결과, 한국의 경쟁력은 최고기술보유국가인 미국대비 절반 수준으로 7개 주요국 중 가장 낮게 평가되었으며, 도출된 결과를 기반으로 경쟁국들의 정책적 노력에 대해 논의하였다. 본 연구를 통해 설계역량이 현저히 낮다고 평가된 한국 제조환경에 맞는 Eng. M&S 기술 육성 정책 수립이 필요하며, 보다 근본적인 차원에서의 해당 기술 활용을 촉구하는 바이다.

• Journal of Technology Innovation
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• v.26 no.2
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• pp.129-149
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• 2018

Technology finance is an area in which financial authorities have introduced and implemented a strong policy will for the advancement of the financial industry and the development of SMEs. As a result, the Bank's own technology evaluation was conducted from September 2016. Technically superior companies are upgrading their credit ratings, and as a result, they benefit from financial transactions as much as their higher credit ratings through technology evaluation. Based on the data generated during this process, we analyze the degree to which credit ratings was upgraded by technology evaluation. The pre study handles 406 data from KEB Hana Bank's technology evaluation conducted in the second half of 2016. As a result of combining the credit rating with the calculated technology rating, J58 'Publishing Activities' technology-credit rating is raised by 1.05 rating, which is the highest, and C10 'Manufacture of Food Products' is the second highest. As a result, we were able to identify the sectors that benefited from the technology evaluation and confirmed the usefulness of technology evaluation by industry(KSIC). To expanding the study, 2,719 companies evaluated during the entire period were analyzed by technology grade, business experience and promising growth industry code. As a result of the analysis, technological power over T-4 grade companies had the highest credit rating upgrades. The companies belonging to promising growth industries designated for efficiency of policy support, it is confirm that the support of the promising business type was useful because the credit grade was upgraded through technology evaluation. The validity of the technology evaluation based on the five-year business experience was found to be insignificant. In the future, it will be possible to maximize the support effect by concentration on the companies with over T-4 grade and growth potential companies when supporting SMEs.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.90-102
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• 2021

Technology evaluation is to assess the ability of technology commercialization entities to generate profits by using the subject technology, and domestic technology evaluation agencies have established and implemented their own evaluation systems. In particular, the recently developed technology evaluation model in the fields of marine and fishery does not sufficiently reflect the poor environment for technology development compared to other industries, so it does not pass the level of T4 rating, which is considered appropriate for investment. This is recognized as a challenge that occurs when the common evaluation indicators and evaluation scales used in other industries, and when the scoring system for T1 to T10 grading is similarly or identically utilized. Therefore, through this study, we intend to secure the appropriateness and reliability of the results of the comprehensive rating calculation by developing technology evaluation models and indicators that well explain the nine marine and fisheries industry classification systems. Based on KED and technology evaluation case data, AHP-based index weighting and Monte Carlo simulation-based rating system are applied and the results of case studies are verified. Through the proposed model, we aim to enhance the usability of R&D and commercialization support programs based on fast, convenient and objective evaluation results by applying to upcoming technology evaluation cases.

• Information Systems Review
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• v.20 no.4
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• pp.79-96
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• 2018

This study started by focusing on the internalization of the technology appraisal model into the credit rating model to increase the discriminative power of the credit rating model not only for SMEs but also for all companies, reflecting the items related to the financial stability of the enterprises among the technology appraisal items. Therefore, it is aimed to verify whether the technology appraisal model can be applied to identify high-stability SMEs in advance. We classified companies into industries (manufacturing vs. non-manufacturing) and the age of company (initial vs. non-initial), and defined as a high-stability company that has achieved an average debt ratio less than 1/2 of the group for three years. The C5.0 was applied to verify the discriminant power of the model. As a result of the analysis, there is a difference in importance according to the type of industry and the age of company at the sub-item level, but in the mid-item level the R&D capability was a key variable for discriminating high-stability SMEs. In the early stage of establishment, the funding capacity (diversification of funding methods, capital structure and capital cost which taking into account profitability) is an important variable in financial stability. However, we concluded that technology development infrastructure, which enables continuous performance as the age of company increase, becomes an important variable affecting financial stability. The classification accuracy of the model according to the age of company and industry is 71~91%, and it is confirmed that it is possible to identify high-stability SMEs by using technology appraisal items.

• 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.

• Korean Journal of Construction Engineering and Management
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• v.9 no.1
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• pp.107-117
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• 2008

In this study, surveys and interviews are used to evaluate technological competitiveness of each product with respect to that of foreign leading firms, for seven leading domestic construction products which have been determined to have competitive edge in offshore markets, Such evaluation provides a more in depth study than previously conducted research, and is meaningful in that corporate level, rather than industry level, perspective is projected. Major findings of such evaluations are the following. First, as expected, it has been evaluated that domestic technological competitiveness in desalination plant and power plant has reached the point where it can compete with foreign leading firms. Moreover, a noteworthy result of the evaluation is that development program sector, including urban development of satellite cities, has reached considerable level of competitiveness in offshore market. In the case of the development market, domestic firms have accumulated sufficient experience in domestic market and engineering technology is not a decisive factor as in plant sector, and these factors lead to such an evaluation. Second, in the cases of gas, oil refinery and petro-chemical plants, domestic products' technological competitiveness that can contest in offshore market is still centered around production and construction. On the other hand, there are still weaknesses in license technology and basic design capabilities, which constitute the "value added" area. Third, skyscrapers, a promising product in offshore construction market and a product group which domestic firms have much performance record and projects in progress both in domestic and offshore markets, are considered. While direct comparison between skyscrapers and plant sector is not feasible, with the exception of production and construction, overall domestic capability in this sector has been assessed to be the lowest amongst those products that were surveyed. Fourth, it has been indicated that competitiveness is relatively higher in common technology than in key technology. In project management capability, it has been assessed that there are weaknesses in procedure document area. Also, a characteristic is the point that low overall assessments have been given across all product groups for corporate and management areas, not technological areas. Especially, financing, contracting/claim, risk management and investment on research and development received low evaluations. Fifth, it has been assessed that overall corporate and governmental supports are weak. This result is especially evident for corporate management and support areas across all product groups surveyed.