• Journal of Distribution Science
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• v.17 no.12
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• pp.95-103
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• 2019

Purpose : Promoting startups has increased in importance in labor market policies since the economic crisis. In Korea, the Ministry of SMEs and Startups is also seeking to revitalize youth startups and traditional markets by moving young stores into idle spaces in traditional markets through 'Project to Support the Activation of Youth Mall'. Research into startups in traditional markets is very limited. Therefore, this study looks at the differences between the management performance of young merchants and senior merchants, and looks at the impact of the business period. Research design, data and methodology : It was divided into youth startup and senior startup based on the age of 40 and startup and nonstartup. Based on these criteria, the company intends to compare and analyze sales and margin rates by setting the sales and margin rates with the management performance of the startup and senior startups. In particular, to look at the feasibility of government funded projects for young merchants, the company will look at the changes in sales and margin rates of young merchants and senior merchants over the period of operation. In this study, the analysis was based on the raw data of the Statistics of traditional market in 2017, and the ANCOVA was used. Results : First of all, the sales volume of stores operated by young merchants, was higher than those operated by senior merchants. Next, the margin ratio does not differ from that of stores that are for young people and those. These findings suggest that the profit structure of stores in traditional markets is similar between young merchants and senior merchants. Third, if you look at the performance of new startups based on one year of business period in more detail, it turns out that young startups have improved in sales and margin rates since startups, while senior startups have no difference. Conclusions : While it means that management performance can be improved through support for young startups, it suggests that there is a limit to supporting senior startups. Therefore, this research indicates that the government support projects centered on youth can contribute to the revitalization of traditional markets.

• Journal of Information Technology Applications and Management
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• v.30 no.6
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• pp.31-52
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• 2023

The government's various support policies have helped Korea's SMEs and startups to grow from the beginning to the end, from domestic companies to exporters. In particular, direct business support policies such as financial support, R&D projects, and export support have been effective in helping a large number of entrepreneurs and startup companies to establish themselves in the market and have achieved tangible results every year since the establishment of the Ministry of SMEs and Startups. As such, the government is making significant efforts to create and promote various types of support policies and to help companies utilize them in their business. However, this study aims to analyze the factors that affect the satisfaction of government policies and the achievement of managerial performance from the companies' perspective and to suggest the purpose of government support policies and the direction companies should take. Specifically, this study categorizes entrepreneurial self-efficacy into marketing, innovation, management, risk-taking, and financial management, using the relationship model of self-efficacy and collective efficacy to ultimately lead to practical results for SMEs and startups support policies. It uses perceived firm efficacy as a variable to reveal the influence relationship. In addition, the direct and mediating effects of entrepreneurial self-efficacy and policy satisfaction on managerial performance were analyzed to determine what SMEs and startups support policies should do. The results showed that, first, among the five components of entrepreneurial self-efficacy, innovation, and risk-taking efficacy positively affected perceived firm efficacy. Second, the specific components of entrepreneurial self-efficacy, marketing, and financial management efficacy positively influenced policy satisfaction. Third, we found that perceived firm efficacy positively influenced policy satisfaction and managerial performance, which are factors of SMEs and startups' policy performance. Specifically, perceived firm efficacy positively influenced policy satisfaction managerial performance. Fourth, we found that policy satisfaction positively influenced managerial performance.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.81-88
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• 2019

This study suggests the ways to promote the technology startups founded by professor, who differs from student or researcher in social status, risk-taking tendency, and motivation. Literatures were reviewed to understand the advantage of faculty's tech start-up, foreign cases, and related researches. In addition, key stakeholders were interviewed. The study shows that domestic faculty entrepreneurship is currently in infant stage while facing obstacles in institutional, financial and practical aspects. In order to promote faculty entrepreneurship, the study suggests that university and professor set up the benefit sharing structure in advance, that the public sector establishes a holding company or investment fund dedicated to support a faculty startup, that proactive effort be made to attract passive professors to the startup world, and that private companies join faculty startups in the process of concept proofing and product commercialization. The study is expected to provide government, university, and industry with practical implication in promoting faculty startup.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.2
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• pp.167-175
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• 2012

This paper study about how government start-up promotion policies have strongly impacts on business startup pattern and its performance. In Korea, the economic crisis of the late 1990s, the recession continues to stumble, and corporate restructuring occurs, let a small mass of unemployed, the Soho establishment 'Sojabon' started brewing two booms. Small business owners and their economic contribution to this portion of the axis with respect to support economic growth theory, on the basis that you need to install the Support Center for more small business owners and small business owners and social atmosphere, changing the term action to promote the establishment and growth of employment opportunities through by creating regional, has been promoting the balanced development of between business. This scheme focus on examining the types and characteristics of the government support schemes with respect to start-process business plan completion, financing capability, utilizing level of experts, location advantage, level of industry differentiation. Results of this study shows how significantly entrepreneurship influence on business startup pattern determining successful performance of business startup and let potential entrepreneur utilize it as to proceed business planning and establishing strategies.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.3
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• pp.107-117
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• 2017

Entrepreneurship is a means of improving national competitiveness that can expand the industry quantitatively and qualitatively based on new technologies and ideas. As a result, we are implementing a nationwide initiative support policy around the world. It leads to actual results and grows into a global company. It also has the advantage of being able to produce potential creative people through support for startups. In order to cultivate talented people suitable for startup in Korea, Venture For Korea, the internship program is being carried out with the aim of strengthening basic capabilities and establishing an exchange with existing companies. The purpose of this study is to verify the effectiveness of the system by using justice theory among the interns of the startup internship. In order to improve the accuracy of the study, the survey was done by a complete enumeration and the results were analyzed through Smart PLS 2.0. As a result of the analysis, the distributive justice and interactional justice among the fairness variables have a positive effect on the expectancy effect, and the expectancy effect has a positive effect on the satisfaction. However, procedural justice did not appear to have an effect on expectancy effects. This is because it's been only two years after the start of the internship program, and it seems to reflect the lack of consensus about the process among the stakeholders (enterprise, pre-entrepreneur, the government) related to the system. The results of this study are meaningful in that it deduces the insufficient part of the startup internship based on the justice theory. In other words, in order to increase the policy effect of the startup internship, it is necessary not only to emphasize only the purpose, but also to establish a policy direction complementing the procedural aspect.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.2
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• pp.15-26
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• 2018

This study examines the effects of failure experience, re-startup's motivation, government support business and education for re-startup on the performance of re-startup firms after failure. In addition, we analyzed how the above factors affect the performance of re-startup firms by the condition of debt and credit problems. As a result of the analysis, the failure experience had no significant effect on the re-startup performance regardless of the credit problem, while re-startup's motivation, government support business and education for re-startup had a significant effect on re-startup firms' performance. In the re-startup group with the credit problem, the re-startup's motivation and the failure experience had a significant influence on the re-startup firms' performance. On the other hand, in the group that did not solve the credit problem, the re-startup's motivation and the failure experience had no significant effect on the re-startup performance, but the government support business and education for re-startup had a significant effect on re-startup performance. The results of this study are as follows: First, it shows that the characteristics of re-startups and the determinants of re-startups are different according to credit problems. Second, this study shows that it takes 56 months on average from the close of business to the re-start, and it may take more than 7 years due to the credit problems and bankruptcy. This suggests the necessity to consider re-startup in the concept of obsolete in consideration of time, when studying the direct/indirect influence of failure experience and re-startup, and establishing policy.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.1
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• pp.31-41
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• 2018

The purpose of this study is to look at the difference between the importance and the satisfaction with respect to government startup aid programs perceived by entrepreneurs to improve the effectiveness of government startup aid policy and verify the causal relationship between startup aid project and business performance. In this respect, this study aims to look at the impact of entrepreneurs' perceived satisfaction over government startup aid programs on startup business performance. Major study findings from this study are as follows. First, as a result of testing statistical significance of the difference between importance and satisfaction in startup education, facility/space, consulting, or fund support field, respectively in start-up assistance project, it appeared that there was a significant difference in all fields. In addition, fund support was the field that showed the biggest difference between importance and satisfaction. Second, the results of IPA (importance-performance analysis), which displays relative importance and performance of start-up assistance project on four quadrants so that entrepreneurs can evaluate which start-up assistance projects they think important and which projects they are satisfied with by themselves are as follows. Let us summarize the distribution of start-up assistance project on four quadrants in the first place. Facility/space support project is distributed in the 1st quadrant that requires ongoing maintenance; start-up funding program in the 2nd quadrant that requires concentrated improvement; consulting support project in the 3rd quadrant that requires limited use at low priority; and start-up education support project in the boundary between the 3rd quadrant that requires limited use and the 4th quadrant that requires rejection against unnecessary items. Third, the results from multiple regression analysis to identify the impact of satisfaction with government startup aid programs over business performance are as follows. As a result of analyzing the influence relationship between government startup aid program and financial performance, it appeared that satisfaction with facility/space had a positive (+) impact on financial performance. This suggests that the higher the satisfaction with facility/space, the higher the financial performance. As a result of analyzing the influence relationship between start-up assistance project and non-financial performance, it appeared that satisfaction with startup education had a positive (+) impact on non-financial performance. This suggests that the higher the satisfaction with startup education, the higher the non-financial performance.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.6
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• pp.31-42
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• 2021

The importance of startups and ventures in the Korean economy is growing. This study measured whether the start-up and venture ecosystem is growing, including the growth of startups and ventures. The startup and venture ecosystem consists of startups and ventures, investors, and government, which are the main actors of the 'ecosystem', and their movements were measured with 25 quantitative indicators. Based on the original data of the time series from 2010 to 2020, the startup and venture ecosystem index was calculated by applying weights through the comprehensive stock index method and AHP. In 2020, the startup and venture ecosystem grew 2.9 times compared to 2010, and the increase in the government index had a significant impact on growth. Also, the individual indicators that make up each index in 2020, the corporate index had the greatest impact on the growth of the number of 100-billion ventures, while the investment index had a recovery amount and the government index had a significant impact. Based on the original data, the startup and venture ecosystem index was analyzed by dividing it into ecosystems (startup ecosystem and venture ecosystem), industry by industry (all industries and manufacturing industry), and region (Korea and Busan). As a result, the growth of the startup ecosystem over the past decade has been slightly larger than that of the venture ecosystem. The manufacturing was lower than that of all industries, and Busan was lower than that of the nation. This study was intended to use it for the establishment and implementation of support policies by developing, measuring, and monitoring the startup and venture ecosystem index. This index has the advantage of being able to research the interrelationships between major actors, and anyone can calculate the index using the results of official statistical surveys. In the future, it is necessary to continuously update this content to understand how economic and social events or policy support have affected the startup and venture ecosystem.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.97-108
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• 2020

This study analyzes factors of the influence of university start-up education and start-up support on the employment rate. For this purpose, we study prior research on university factors that affect the employment rate. we add university startup education & support to the university factors that are the type of university establishment and the university location, affecting the employment rate. The information of start-up education and start-up support is derived from the university disclosure information. In the start-up education, the number of participants in the start-up lecture, the number of participants in the start-up club, the number of participants in the start-up competition, the number of participants in the start-up camp and in the start-up support, the number of dedicated faculty members for start-up support, and the start-up training budget are added. The research model is empirically analyzed with 118 universities, excluding special purpose universities and universities with less than 1,000 graduates as a national 4-year university. Empirical analysis shows that the type of university establishment has a positive effect on the employment rate, and the university location has a positive effect on the employment rate. Among the factors of start-up education and start-up support, the number of participants in entrepreneurship courses is found to have a positive effect on the employment rate. In addition, although the number of participants in the start-up camp don't have a positive effect on the employment rate, it is found that the significance level p=0.070. Based on the results of this empirical analysis, academic and policy implications are presented.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.63-79
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• 2024

The startup ecosystem is experiencing a paradigm shift in founding due to the acceleration of digital transformation, online platform companies have grown significantly into unicorns, but the lack of differentiated approaches and strategic support for deep tech startups has led to the inactivity of the startup ecosystem. is lacking. Therefore, in this study, we proposed ways to develop domestic startup development policies, focusing on the US system, which is an advanced example overseas. Focusing on the definition and characteristics of deep tech startups, current investment status, success stories, support policies, etc., we comprehensively analyzed domestic and international literature and derived suggestions. In particular, he proposed specific ways to improve support policies for domestic deep tech startups and presented milestones for their development. Currently, the United States is significantly strengthening the role of the government in supporting deep tech startups. The US government provides direct financial support to deep tech startups, including detergent support and infrastructure support. It has also established policies to foster deep tech startups, established related institutions, and systematized support. It is worth noting that US universities play a core role in nurturing deep tech startups. Leading universities in the United States operate deep tech startup discovery and development programs, providing research and development infrastructure and technology. It also works with companies to provide co-investment and commercialization support for deep tech startups. As a result, the growth of domestic deep tech startups requires the cooperation of diverse entities such as the government, universities, companies, and private investors. The government should strengthen policy support, and universities and businesses should work together to support R&D and commercialization capabilities. Furthermore, private investors must stimulate investment in deep tech startups. Through such efforts, deep tech startups are expected to grow and Korea's innovation ecosystem will be revitalized.