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

• Journal of Korea Technology Innovation Society
• /
• v.20 no.2
• /
• pp.292-312
• /
• 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 Korea Technology Innovation Society
• /
• v.3 no.1
• /
• pp.55-67
• /
• 2000

본 고는 국내에 적용할 수 있는 기술등급평가모델을 제시하고 이에 입각하여 이루어진 실제의 평가결과를 제시하였다 이 평가는 중소기업청에 의해 전국규모로 1998년과 1999년 두해에 이루어졌다. 등급평가는 기술의 권리적 측면 환경적측면 등 세가지항목으로 구성된 평점모델을 제시하였다. 이평가결과는 변별력이 약해 평가요소와 실제 경쟁력간의 인과관계등에 대한 보다 집중적인 연구가 필요함을 보여준다.

• Journal of Korea Technology Innovation Society
• /
• v.16 no.1
• /
• pp.303-322
• /
• 2013

A relevance of supporting business of technology financing for technologically innovative SMEs is strongly required for its continuous expansion and development. This study analyzes empirically whether the selection of recipient firms from technology financing have been performed in accordance with its objectives and purposes. Results show that the probability of receiving technology financing is more likely to increase with higher technology rankings and higher operating income ratio. On the other hand, the probability of obtaining financing might be decreased gradually, as the size of capital and age of the firm are increasing. Results also show that technology rankings and firm's major characteristics are found to affect significantly on the decision-making of technology financing. Several useful comments are suggested to improve the relevance of the technology financing since the correct classification rate, which explains the appropriateness of the model, is not at high level. In addition, technology rankings are not uncorrelated with the amount of financing in regression analysis. These research results will contribute to ensure the appropriateness and credibility of the technology financing decision-making.

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

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.2
• /
• pp.158-167
• /
• 2017

This paper presents the technology rating methodology that is applicable to defense R&D technology. First, a technology profitability index was developed using multiple regression analysis to forecast the revenue from technology transfer. Secondly, the technology evaluation index was derived using hierarchical analysis with expert opinion. Finally, the weighted average of the technology profitability index and technology evaluation index were calculated to derive the technology rating. This study is significant in that it is first attempt to evaluate defense R&D technology by rating. If the defense R&D technology rating methodology is applied in practice, it can contribute to efficient R&D budget allocation. In addition, it will help in the vitalization of technology transfer in the defense R&D sector.

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

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

• Journal of Technology Innovation
• /
• v.25 no.4
• /
• pp.1-15
• /
• 2017

In 2014, the Financial Services Commission designated the Tech Credit Bureaus(TCB) to issue technical credit evaluation reports. The Five credit rating agencies, KEB Hana Bank and others have issued the technical credit reports since the summer in 2014. Meanwhile, the technology evaluation model of KEB Hana Bank consists of 25 detailed evaluation items. These item classes are weighted and the technology rating is systematically. The technology rating is combined with the credit rating to calculate the technology-credit rating. In this paper, we analyzed the 406 evaluation results issued by KEB Hana Bank. Based on the number of years of work experience, company managerial years, technical personnel score, the possession of R&D department, the amount of R&D investment, the number of certifications, and the number of patents, the Correlation between the above items and the technical grade was analyzed. It was found that quantitative indicators such as the presence of R&D department, patent numbers, and R&D investment expenses had a significant effect on the company's technology grade, and in particular, the presence of R&D department was shown a high correlation with the technology rating.

• KAPE Magazine
• /
• s.248
• /
• pp.4-6
• /
• 2017

웰빙 중시의 소비패턴으로 변화하고 있는 이때 소비자 트렌드 변화에 부응하고 한우 산업 발전을 견인할 수 있는 소 도체 등급기준 보완이 축평원의 hot한 이슈가 되고 있다. 그래서 이번 KAPE인(人)의 주인공으로 축평원 핵심부서의 팀장인 연구개발팀 강세주 팀장을 만나 보았다. 강세주 팀장은 1993년 입사로 올해로 25년 차를 맞이하는 베테랑급 축산전문인이다 그는 '이론과 기술'을 함께 갖추어야겠다는 인생 목표하에 강하고도 듬직하며 동시에 따뜻한 포용력을 겸비한 내유외강의 리더십을 발휘하는 팀장이다. 또한, 1999년 축산기술사 자격과 2003년 8월에는 (식품)공학박사 학위를 취득한 축평원의 인재이기도 하다. 그는 연구개발팀 근무경력이 두 번에 걸쳐 6년으로 소 도체 등급기준 보완 개편 작업부터 모든 과정을 같이 하였다. 그런 그에게 소 도체 등급기준 보완(안) 마련과 검증 및 실험과정까지 상세한 설명을 들어보았다.