• Title/Summary/Keyword: 벤처창업정책

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An Exploratory Study on the Success Factors of Silicon Valley Platform Business Ecosystem: Focusing on IPA Analysis and Qualitative Analysis (실리콘밸리 플랫폼 기업생태계의 성공요인에 관한 탐색적 연구: IPA 분석과 질적 분석을 중심으로)

  • Yeonsung, Jung;Seong Ho, Lee
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.1
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    • pp.203-223
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    • 2023
  • Recently, the platform industry is rapidly growing in the global market, and competition is intensifying at the same time. Therefore, in order for domestic platform companies to have global competitiveness in the platform market, it is necessary to study the platform business ecosystem and success factors. However, most of the recent platform-related studies have been theoretical studies on the characteristics of platform business status analysis, platform economy, and indirect network externalities of platforms. Therefore, this study comprehensively analyzed the success factors of Silicon Valley's business ecosystem proposed in previous studies, and at the same time analyzed the success factors extracted from stakeholders in the actual Silicon Valley platform business ecosystem. And based on these factors, an IPA analysis was conducted as a way to propose a success plan to stakeholders in the platform business ecosystem. As a result of the analysis, among the success factors collected through previous studies, manpower, capital, and challenge culture were identified as factors that are relatively well maintained in both importance and satisfaction in Silicon Valley. In the end, it can be seen that the creation of an environment and culture in which Silicon Valley can use it to challenge itself based on excellent human resources and abundant capital contributes the most to the success of Silicon Valley's platform business. On the other hand, although it is of high importance to Silicon Valley's platform corporate ecosystem, the factors that show relatively low satisfaction among stakeholders are 'learning and benchmarking among active companies' and 'strong ties and cooperation between members', and it is analyzed that interest and effort are needed to strengthen these factors in the future. Finally, the systems and policies necessary for market autonomous competition, 'business support service industry', 'name value', and 'spin-off start-up' were important factors in literature research, but the importance and satisfaction of these factors were lowered due to changes in the times and environment. This study has academic implications in that it comprehensively analyzes the success factors of Silicon Valley's business ecosystem proposed in previous studies, and at the same time analyzes the success factors extracted from stakeholders in the actual Silicon Valley platform business ecosystem. In addition, there is another academic implications that importance and satisfaction were simultaneously examined through IPA analysis based on these various extracted factors. As for academic implications, it is meaningful in that it contributed to the formation of the domestic platform ecosystem by providing the government and companies with concrete information on the success factors of the platform business ecosystem and the theoretical grounds for the growth of domestic platform businesses.

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A Study on the Management System of Special Organization for University Technology Transfer and Commercialization (대학 기술이전.사업화 전담조직 운영제도의 성과와 과제)

  • Yoon, Chongmin
    • Journal of Korea Technology Innovation Society
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    • v.16 no.4
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    • pp.1055-1089
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    • 2013
  • These days, the environment surrounding university has been changing rapidly and largely. Especially, the academic entrepreneurship for university spin-offs and wealth creation is being emphasized. And therefore, the importance of industry-academy-research institute cooperation for technology transfer and commercialization is increasing more and more. According to that, government have made various legal system and support the university activities for their autonomous and practical technology use, and one of that core means is to make university establish the special organization for technology transfer and commercialization, and support its activities systematically. This paper aims to study legal system on the special organization for university technology transfer and commercialization in korea. Especially, it is layed emphasis to search the problems and find out the improvement ways about the special organization. For this purpose, the legal system and necessity of special organization in university and other research institute are reviewed in domestic and abroad, the type and operation methodology of special organization in the existing laws are investigated in korea, the operation effects of several organization are analyzed, and lastly the improvement methods for activating the organization are studied and suggested.

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A Study on the Business of the Situation Analysis of Food Waste Recycling (음식물류 폐기물 재활용현황 분석을 통한 사업화 연구)

  • Park, Yong Soo;Seol, Byung Moon
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.10 no.5
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    • pp.209-217
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    • 2015
  • Development of food industry and increased city life induced enlarged generation of food waste which is currently reused in a wide range of way. In this study, treatment of food waste generated from the public agricultural product wholesale markets (they are categorized as business places which imposes the duty for reducing the food waste discarded) in Korea was investigated, and subsequently, a scheme for improving the food waste recycling business was suggested. The food waste treatment plants are mainly located in Kyeongki-do at 39.5% of total plants in Korea and the other provinces have less than 10% of the total numbers, among which public treatment plant was 38.0% and private plant was 62.0%. The treatment methods included recycling as animal feed at 47.5%, as compost at 36.4%, and the rest of food waste (12.6%) was treated in other ways. Remarkably, it was noticed that the amount of food waste treated in anaerobic digestion have been increased up to 5.4% since 2011. This implied that food waste treated in anaerobic digestion method is gradually increased according to government policy. Amongst 33 public agricultural product wholesale markets distributed all over the country, the trading volume dealt in Garakdong market in Seoul, Gangseo market in Seoul, Daegu market in Daeju, Eomgung market in Busan, Guri market in Guri accounted for 34.67, 7.47, 6.98, 5.41, and 5.30% of the total trading volume in Korea, respectively. 2.65% of the total trading agricultural products dealt in the markets were remained as food waste and treated. In 2006, Ministry of Agriculture, Food and Rural Affairs implemented the package policy for radish and Chinese cabbage in order to reduce the amount of food waste and indeed, food waste generated in Garakdong market declined to one third of the food waste before the package policy implementation. In 2010, the food waste amount treated by 'dehydration', 'discarding as raw materials', and 'drying after dehydration' accounted for 56.3%, 33.7%, and 10.0% of the total food waste generated in the public agricultural product wholesale market. However, in 2013, discarding as raw materials accounted for the most at 56.3% followed by dehydration at 37.5%, and by drying after dehydration at 6.3%. The remarkable increment of the food waste discarded as raw materials was attributed to the increase of them in Garakdong market in Seoul. In general, the agricultural food waste contains high amount of moisture at 88% in average and low amount of salt at 0.02% in average. Therefore, it is highly recommended to treat the agricultural food waste through drying after dehydration in order for improving the treatment capability. Also, this recommendation can be supported by the fact that the end-products via drying after dehydration can be utilized as compost material. Overall, the agricultural food waste recycling business can be developed through integration of the treatment via 'drying after dehydration' and compost production.

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Financial Condition and the Determinants of Credit Ratings in Korean Small and Medium-Sized Business (중소상공인의 금융현황과 신용등급의 결정요인 관련 연구)

  • Kang, Hyoung-Goo;Binh, Ki Beom;Lee, Hong-Kyun;Koo, Bonha
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.15 no.6
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    • pp.135-154
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    • 2020
  • This paper analyzes the 5,521 samples of the small and medium-sized businesses(SMBs) obtained from the Korea Credit Guarantee Fund. From January 2014 to September 2019, 85% of the SMBs have 5 or fewer full-time employees. The proportion of SMBs is overwhelmed by the elderly men, and most founders are the CEO. Also, about 87% of the workplace types are rented, while 64% of the CEO's residence types are owner-occupation. 47% of the financial grade score is less than 10 points out of 100 and 80% of SMBs have less than 200 million won of the loan guarantee. In particular, the total guarantee loan amount or the days of net guarantee have significantly positive relations with the working period of the CEO in the same industry, the number of employees, the operation period of SMBs, and the corporate business type. In the case of the financial grading score which has the highest weight in overall credit rating gets higher with the higher number of employees, the longer the operation period, and the corporate business type. However, the quantified non-financial grading score has no significant relationship with other explanatory variables, except for the corporate business type. This implies that a non-financial grade score is measured by other determinants that are not observed by the Korea credit guarantee fund. The pure non-financial grade score has positive relations with the working period of the CEO. Overall, this paper would help Korean SMBs upgrade their credit ratings and expand the money supply when there is no standardized credit rating model or no publicly available evaluation criteria for SMBs. We expect this paper provides important insights for further research and policy-makers for SMBs. In particular, to address the financial needs of thin-filers such as SMBs, technology-based financial services (TechFin) would use alternative data to evaluate the financial capabilities of thin-filers and to develop new financial services.

The Effects of Transformational Leadership of Financial Institution on Organizational Effectiveness -Focused on Mediating Effect of Education Service Quality and Moderating Effect of Trust- (금융기관 상사의 변혁적 리더십이 조직유효성에 미치는 영향 -교육서비스품질의 매개효과와 신뢰의 조절효과 중심으로-)

  • Seo, Seung-Hee;Kang, Shin-KI
    • Journal of Digital Convergence
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    • v.19 no.8
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    • pp.113-132
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    • 2021
  • This study is about the factors affecting organizational effectiveness and to suggest implications for encouraging organizational effectiveness. The conditional process model was analyzed with transformational leadership as an independent variable, educational service quality as a mediator, organizational effectiveness as a dependent variable, and trust as a moderator. The data collected from the financial institutions were analyzed using SPSS v22.0 and PROCESS macro v3.4. As a result, transformational leadership has a (+) effect on educational service quality, and educational service quality has a (+) effect on organizational effectiveness. Except for the relationship between charisma and innovative behavior, transformational leadership affect organizational effectiveness. Excluding the relationship between charisma and innovative behavior, educational service quality mediate between transformational leadership and organizational effectiveness. Trust only moderates between educational service quality and innovative behavior. Trust moderated the mediating effect of educational service quality between transformational leadership and innovative behavior. The results suggest the importance of education service quality management in a non-face-to-face working environment and the importance of individual consideration in innovative actions.

An Empirical Study on the Relationship between the Capabilities and Sales Growth of Research-based Spin-off Companies (연구소기업의 역량과 매출성장 간의 관계에 관한 실증연구)

  • Ki, Inyoung;Lee, Sunje;Yi, Sangyoon
    • Journal of Korea Technology Innovation Society
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    • v.21 no.4
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    • pp.1445-1473
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    • 2018
  • This study aims to analyze research-based spin-off companies, which are established in Innopolis to promote the commercialization of R&D outputs of public institutions. We analyzed 175 technology-based start-ups, which were founded before 2016, to examine how the companies' capabilities affect the sales growth rate. The results show that technological capability and entrepreneurial capability have positive relations with sales growth, while network capability and finance capability do not have significant associations. In addition, R&D intensity (R&D expenditure per employee) has moderating effects on the association between firm capabilities and sales growth rate since it strengthens the effect of technological capability and entrepreneurial capability but weakens the influence of network capability. This study contributes to widening the understanding of the importance of capabilities of research-based spin-off companies and their performance, and differs from most previous literature since it uses objective and quantitative data. It further suggests policy implications that the enhancement of technological and entrepreneurial capability are important for the stable growth of technology-based startups in the early stage.

Smart Factory Policy Measures for Promoting Manufacturing Innovation (제조혁신 촉진을 위한 스마트공장 정책방안)

  • Park, Jaesung James;Kang, Jae Won
    • Korean small business review
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    • v.42 no.2
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    • pp.117-137
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    • 2020
  • We examine the current status of smart factory deployment and diffusion programs in Korea, and seek to promote manufacturing innovation from the perspective of SMEs. The main conclusions of this paper are as follows. First, without additional market creation and supply chain improvement, smart factories are unlikely to raise profitability leading to overinvestment. Second, new business models need to connect "manufacturing process efficiency" with "R&D" and "marketing" in value chain in smart factories. Third, when introducing smart factories, we need to focus on the areas where process-embedded technology is directly linked to corporate competitiveness. Based on the modularity-maturity matrix (Pisano and Shih, 2012) and the examples of U.S. Manufacturing Innovation Institute (MII), we establish the new smart factory deployment policy measures as follows. First, we shift our smart factory strategy from quantitative expansion to qualitative upgrading. Second, we promote by each sector the formation of industrial commons that help SMEs to jointly develop R&D, exchange standardized data and practices, and facilitate supplier-led procurement system. Third, to implement new technology and business models, we encourage partnerships, collaborations, and M&As between conventional SMEs and start-ups and business ventures. Fourth, the whole deployment process of smart factories is indexed in detail to identify the problems and provide appropriate solutions.

Multi-Level Analysis on the Influence of Core Employment Policies on the Team Leader's the Perceived Internal Process Organizational Competency and Job Satisfaction - Moderation Effect of Corporate Entrepreneurship - (인재우대 정책이 팀장의 인지된 조직 내부프로세스 역량과 직무만족도에 미치는 영향에 관한 다수준 분석 - 사내기업가 정신의 조절효과 중심으로 -)

  • Oh, Se-Ho;Nam, Jung-Min
    • The Journal of the Korea Contents Association
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    • v.21 no.8
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    • pp.150-162
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    • 2021
  • Companies have recently become increasingly interested in corporate entrepreneurship to establish a core employment policy in order to secure and maintain core employees and to foster an innovation-oriented organizational culture. Therefore, The purpose of this study is to empirically analyze the causal relationship between core employment policies and the team leader's the perceived internal process organizational competency and job satisfaction, and to investigate whether corporate entrepreneurship has a moderation effect. Non-financial service industries including ICT companies were subject of the study and human capital corporate panel(HCCP) was utilized. The samples were 367 team leaders from 79 domestic companies. This study also applied Multi-Level Analysis(HLM), which simultaneously analyzes variables at both the individual level and the organizational level in order to improve the accuracy of the study. According to the result of the study analysis, core employment policies have a positive(+) impact on the perceived internal process organizational competency and job satisfaction. In addition, the moderation effect of corporate entrepreneurship was verified during the process when core employment policies influence the two outcome variables. corporate entrepreneurship was found to have a moderation effect that strengthens the influence on job satisfaction, but the moderation effect on the perceived internal process organizational competency was not statistically significant. These results confirm that organizational cultural factors such as corporate entrepreneurship are important influence variables in the process of influencing individual-level variables such as core employment policies. Academically, It suggests that in order to enhance the effectiveness of company strategies in respect of human resource management such as core employment policies, it is important to foster a cultural environment that suits the industry and characteristics of the organization. In addition, it suggested that companies in need of new innovation need to utilize corporate entrepreneurship.

A Comparative Study on Failure Pprediction Models for Small and Medium Manufacturing Company (중소제조기업의 부실예측모형 비교연구)

  • Hwangbo, Yun;Moon, Jong Geon
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.11 no.3
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    • pp.1-15
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    • 2016
  • This study has analyzed predication capabilities leveraging multi-variate model, logistic regression model, and artificial neural network model based on financial information of medium-small sized companies list in KOSDAQ. 83 delisted companies from 2009 to 2012 and 83 normal companies, i.e. 166 firms in total were sampled for the analysis. Modelling with training data was mobilized for 100 companies inlcuding 50 delisted ones and 50 normal ones at random out of the 166 companies. The rest of samples, 66 companies, were used to verify accuracies of the models. Each model was designed by carrying out T-test with 79 financial ratios for the last 5 years and identifying 9 significant variables. T-test has shown that financial profitability variables were major variables to predict a financial risk at an early stage, and financial stability variables and financial cashflow variables were identified as additional significant variables at a later stage of insolvency. When predication capabilities of the models were compared, for training data, a logistic regression model exhibited the highest accuracy while for test data, the artificial neural networks model provided the most accurate results. There are differences between the previous researches and this study as follows. Firstly, this study considered a time-series aspect in light of the fact that failure proceeds gradually. Secondly, while previous studies constructed a multivariate discriminant model ignoring normality, this study has reviewed the regularity of the independent variables, and performed comparisons with the other models. Policy implications of this study is that the reliability for the disclosure documents is important because the simptoms of firm's fail woule be shown on financial statements according to this paper. Therefore institutional arragements for restraing moral laxity from accounting firms or its workers should be strengthened.

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Research on the Application Methods of Big Data within SME Financing: Big data from Trading-area (소상공인의 자금공급 확대를 위한 빅데이터 활용 방안연구)

  • Lee, Ju Hee;Dong, Hak Lim
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.13 no.3
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    • pp.125-140
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    • 2018
  • According to statistics, it is shown that domestic SMEs rely on bank loans for the majority of fund procurement. From financial information shortage (Thin file) that does not provide information necessary for credit evaluation from banks such as financial statements. In order to overcome these problems, recently, in alternative finance such as P2P, using differentiated information such as demographics, trading information and the like utilizing Fintech instead of existing financial information, small funds A new credit evaluation method has been expanding to provide SMEs with small amounts of money. In this paradigm of environmental change, in this research, credit evaluation which can expand fund supply to SMEs by utilizing big data based on trade area information such as sales fluctuation, location conditions etc. In this research, we try to find such a solution. By analyzing empirically the big data generated in the trade area, we verify the effectiveness as a credit evaluation factor and try to derive the main parameters necessary for the business performance evaluation of the founder of SMEs. In this research, for 17,116 material businesses in Seoul City that operate the service industry from 2009 to February 2018, we collect trade area information generated for each business location from Big Data specialized company NICE Zini Data Co., Ltd.. We collected and analyzed the data on the locations and commercial areas of the facilities that were difficult to obtain from SMEs and analyzed the data that affected the Corporate financial Distress. It is possible to refer to the variable of the existing unused big data and to confirm the possibility of utilizing it for efficient financial support for SMEs, This is to ensure that commercial lenders, even in general commercial banks, are made to be more prominent in one sector of the financing of SMEs. In this research, it is not the traditional financial information about raising fund of SMEs who have basically the problem of information asymmetry, but a trade area analysis variable is derived, and this variable is evaluated by credit evaluation There is differentiation of research in that it verified through analysis of big data from Trading-area whether or not there is an effect on.