• The Optical Journal
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• s.149
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• pp.65-72
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• 2014

중소기업청이 '2014년도 중소기업 정책자금 운용계획'을 발표했다. 올해 정책자금 예산규모는 3조 8200억 원으로, 지난해의 예산규모(3조 8500억 원) 대비 소폭 줄었다. 중소기업의 투자촉진을 위한 시설투자 자금인 신성장자금이 전년 대비 2000억 원 확대된 8350억 원이 배정됐다. 청년창업활성화를 위한 청년창업전용자금과 재기 중소기업인을 위한 재창업자금 규모도 각각 1500억 원, 500억 원으로 전년 대비 170억 원, 100억 원 늘었다. 일자리 창출기업에 대한 우대금리도 확대했다. 기존에는 지원업체 중 추가 고용 1인당 0.1%포인트씩 최대 1.0%포인트 금리를 인하했지만, 올해는 금리 인하 한도를 2.0%포인트까지 늘렸다. 10명 이상 고용을 창출한 기업은 개별기업 융자한도(45억원)에 예외를 적용해 70억 원까지 대출 가능하다. 창업촉진을 위해 창업자금 지원기업의 업력을 기존 5년에서 7년으로 확대하고, 청년전용 창업자금의 대출기간을 3년에서 5년으로 연장했다. 창업자금의 가산금리 조건부 연대보증 면제 대상 조건도 기존 기업평가등급 4등급 이상에서 5등급 이상으로 완화했다. 또한 중소기업 성장사다리 구축을 위해 기술 사업성 우수기업의 장기 시설투자지원 전용자금을 신설, 중소기업진흥공단의 기업평가 우수기업에게 만기 15년 이내의 장기대출을 지원한다. 글로벌 성장사다리 선정기업에 대해서는 수출금융지원자금 대출 한도를 기존 10억 원에서 30억 원까지 확대한다. 이밖에도 소상공인을 위한 소공인특화자금의 시설자금 대출기간을 5년에서 8년으로 연장하고, 유턴기업의 사업장 신 증설 등을 위한 융자금을 최대 70억원까지 지원한다. 중기청 소관 R&D사업 성공기업을 위한 전용자금을 500억원 규모로 운용해 R&D 기업의 성공률을 제고하기로 했다. 올해 정책자금 금리는 민간 금융권의 저금리 기조를 고려, 1분기 정책자금 기준금리를 전 분기(3.57%) 보다 낮은 3.29%로 운영하기로 했다. 또 중소기업인들이 정책자금 신청 등에 어려움이 있었다는 지적에 따라, 올해부터 매월 1일부터 20일까지 중진공 홈페이지(www.sbc.or.kr)를 통해 온라인으로 신청받기로 했다. 제3자의 도움 없이도 손쉽게 자금을 이용할 수 있도록 신청서류를 간소화하고, 중진공 각 지역본(지부)에 융자신청 도우미를 배치할 방침이다.

• 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.

• KDI Journal of Economic Policy
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• v.27 no.1
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• pp.123-156
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• 2005

Strengthening the competitive edge of SMEs has become one of the most important economic issues in Korea as the bipolarization between large firms and SMEs has deepened. Accordingly, small innovative firms (referred as 'venture firms' in Korea) attract keen attention both from policy makers and academia. Also, we can sufficiently observe how the growth environment for venture firms has evolved, since it has been almost ten years after the Korean government started its support policy for venture firms. Considering this, now is the appropriate time to carry out an analysis of venture firms. From this point of view, this study looks at growth factors for venture firms to draw out policy implications. The empirical analysis shows interesting results. Firms with the following features all showed higher growth rates: firms with high R&D intensity, younger firms, bigger firms, firms using more policy loans, and firms located within and around the Seoul region. However, the empirical analysis has some limitations. The data used in the study is limited in terms of firm information and so there are some insufficiencies. Thus it is of great importance to compile the required data on firms to enable further in-depth studies.

• KDI Journal of Economic Policy
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• v.27 no.2
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• pp.45-87
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• 2005

This study attempts to provide a basis of selecting policy directions by empirically analyzing the effect of policy lending programs for SMEs in Korea using micro firm-level data and examining whether the programs contribute to improving the performance of SMEs and thus effectively carry out their missions. From the estimations using Ashenfelter(1978)'s approach, the evidence of differences in profitability enhancement between the benefited group and the never-benefited group could not be found in most cases. In addition, the estimations show that the policy lending program had stronger profit enhancing effects on the young SME group for the year that the program was applied, and indicate that the policy lending program might be the factor that makes the 'older' benefited SMEs to become addicted to the government policy and thus hinder them in their development to become more competitive and innovative. These results suggest that, when the programs are needed to support SMEs' financing, it is more effective to target the start-up companies or SMEs in their early stages rather than old SMEs.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.6
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• pp.59-76
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• 2019

Most technology-based entrepreneurship(TBE) go through an process of decline or disappear without overcoming the valley of death(VoD). The purpose of this study is to identify the growth dimension of TBE and to test the influence of firms activities on firms growth over time. This study identified the two-dimensional growth dimension divided by size and profit through exploratory factor analysis(EFA) of a number of growth indicators. Then, we defined the discrete state of growth firm in four states, divided by size and profit, and five states, including the closure of business. Multi-nomial logit model is used to predict the effect of TBE activities on a discrete state of growth firm(size×profit, closure of business) based on multiple independent variables. The independent variables are based on five representative firms activities: employment, marketing, R&D, financial activities, and general management activities. The growth stage of TBE over time has been categorized into three stages: early stage, middle stage, and late stage of business, taking into account the main periods during which the survival rate of startups sharply decreases. The analytical data of this study was based on the secondary data of the start-up supporting companies of government and public institutions. The subjects of analysis were TBE within 10 years. As a result of the empirical analysis, the employment and marketing activities of TBE show that early and mid-term activities had an effect on the state of firms growth. However, if there is a difference, employment activities have both positive and negative effects, while marketing activities have only a positive effect on size and profit growth. And besides, R&D activities, financial activities, and general management activities throughout the entire process of firms growth were found to be firms activities that have both positive and negative effects on firms growth. In addition, the age of the founder, the firms' industry, and the geographic location of the firms, which are general characteristics of the company, were found to have a distinctive effect on the growth status of the firms according to the growth stage.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.221-234
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• 2015

The purpose of this paper is to investigate the differences between successful SMEs in Korea and German hidden champions, with respect to both strategic importance and performance of major competitive dimensions, and mode of technology development. Data were collected through survey and public databases, and the sample comprises successful SMEs located in regional area in Korea. The results show that Korean hidden champions are relatively low regarding specialization of business domain and globalization while German hidden champions have positioned in global niche market. It is also found that local firms utilize technology alliances actively for technology development while German hidden champions rely heavily on internal R&D as a primary source of innovation. Based upon these results, policy directions for fostering local hidden champions were suggested.

• Knowledge Management Research
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• v.24 no.2
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• pp.1-25
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• 2023

While organizational learning (OL) is vital for ventures to build knowledge bases necessary for successful innovation, less attention has been paid to how learning organizations leverage it for performance improvement. We investigate entrepreneurial orientation's (EO) role in performance-by-learning mechanisms underpinning ventures' innovative initiatives, adopting dyadic performance indicators: technological competitiveness and business performance. Analyzing 218 Korean ventures, our study shows that firms valuing OL, characterized by acquisitive and experimental learning, exhibit high EO, facilitating productive use of knowledge-based resources and enhancing performance. Importantly, EO fully mediates the performance implications of OL. Our findings suggest that a comprehensive learning approach for knowledge acquisition and experimentation provides ventures, often facing smallness and newness liabilities, with a fertile entrepreneurial ground for increased innovation returns.

• Journal of Technology Innovation
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• v.23 no.1
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• pp.37-60
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• 2015

As global competition has become keener, importance of standardization has increased due to international trade between firms and countries. Since standardization provide compatibility for parts or products, maintaining a good level of standardization is one of key success factors. This paper studies impact of standardization status and educational effort of standardization on performance of the firm. Also, characteristics of the firm, industry, history, acknowledge of need for education of standardization of the firm are considered as antecedents of standardization status and educational effort on standardization. Data was collected from information and technology and electronics industries. This paper found that characteristics of the firm and acknowledge of need for education on standardization have positive impact on the number of education on standardization. Results of this study also show that the number of education classes and of employees participated in the class positively affect R&D performance and production and quality improvement. Implication of this study is finding the relationship between importance of standardization education and competitiveness of the firm in global market.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.4
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• pp.25-58
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• 2021

This study investigated the corporate growth with more emphasis on longitudinal characteristics, not the results of companies with relatively more emphasis on cross-sectional, in the 21st-century entrepreneurial context. As of the end of 2019, sampled 479 global unicorn companies, and 333 high-growth companies with revenue of more than $100 million among 5,000 private companies in the U.S. with a compound annual growth rate (CAGR) exceeding 15% for the past three years. They were examined with 3 perspectives in terms of corporate growth that 1) the growth of enterprise value, 2) the pace of growth, and 3) the effectiveness of growth. As a result of our study, the corporate growth of the perspective of creating enterprise value had a relatively higher relationship with the characteristics of industries and markets. The pace of growth was more fully explained by the characteristics of the industry and the market environment and the choice of strategies that make up a valid combination. In addition, growth in terms of the effectiveness of corporate performance was influenced by the choice of strategy, the characteristics of the industry and market environment, and its business age, the proxy variable of resource accumulation, comprehensively. This study through a sample based on companies with an enterprise value of more than $1 billion and annual revenue of more than $100 million can be a valid reference in terms of creating milestones and roadmaps for scale-up of early-stage startups, particularly in terms of practitioners' point of view. It also provides a critical reference for overcoming the limitations of mainstream theories of the 20th century and developing the theory of corporate growth that fits the 21st-century entrepreneurial context.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.10B
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• pp.946-961
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• 2008

This study aims to provide guidelines on future policy for restructuring the scheme of aid programs associated with If small and medium-sized enterprises (i.e. SME) in Korea. For this purpose, we investigate an empirical dataset of recent aid programs deployed by Ministry of Information and Communication (i.e. MIC) for the last four years First, it is examined that the programs are practiced in accordance with their own policy objective by comparing matching samples between two groups such as program beneficiary and non-beneficiary companies. Second, positioning transition of programs within a same category is visualized in terms of two business portfolio analysis matrices. Third, an affiliation network matrix of (he programs is newly developed and then we attempt to analyze the programs relationship by the application of multidimensional scaling method to the affiliation network matrix. The empirical dataset is composed of two different kinds of corporate datasets. One is a corporate dataset of 8,994 beneficiary companies that are aided by MIC during the year of '03-'06. The other is also a corporate dataset of 18,354 non-beneficiary companies that have no records of the program supports during the years at all. Particularly, the matching samples of non-beneficiary companies are prepared in order to have comparable corporate age years (i.e. CAY) against beneficiary companies' CAY. Results show that; 1) up-to-date, the programs are properly assigned to IT SME conforming to their own policy objective; 2) however, as the year goes on, the following two distinct positioning transitions are revealed such as (1) both CAY and corporate sales (i.e. SAL) are increased simultaneously, (2) ratio of intangible assets (i.e. RIA) is decreased and ratio of operating gain to revenue (i.e. ROR) is increased. Hence, the role of the programs gets weakened with regard to providing seed money to technology innovation-typed IT SME so that a managerial adjustment of the programs is required consequently; 3) even though the model adequacy is not satisfactory through the analysis of multidimensional scaling method, the relationship of indirect-typed programs can relatively be stronger than that of direct-typed programs.