• IE interfaces
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• v.17 no.spc
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• pp.11-19
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• 2004

The purpose of this study is to identify the determinants of new venture performance according to years of operation in the view of integrated research framework. We propose the integrated new ventures performance model which is composed of entrepreneur, organization/resources, industrial environment, strategy/foundation process and availability of supporting systems as corresponding variables to new ventures performance. The determinants of new venture performance according to years of operation are identified through the multi-variate statistical analysis such as moderating regression analysis with the data gathered from 110 executives of venture companies. For internal variables, entrepreneur's managerial ability and technical expertise and employee's ability affect venture's performance increasingly as years of operation increases but resource procurement ability affects decreasingly. Related to external variables, years of operation plays positive moderating role on market size growth and supporting system availability, but negative role on government venture policy for venture performances. Though this study has limitation of small sample, limited questionnaire and performance measure, it has managerial contribution of identifying determinants of new venture performance according to years of operation.

• The Journal of Society for e-Business Studies
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• v.13 no.4
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• pp.145-159
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• 2008

The purpose of this study is to identify the determinants of new venture performance in the view of integrated research framework and to investigate key determinants of superior and inferior ventures. We propose the integrated new ventures performance model which is composed of entrepreneur, organization/resources, industrial environment, strategy/foundation process and availability of supporting systems as corresponding variables to new ventures performance. The superior venture performance is affected mainly by entrepreneur's managerial ability and industry expertise, but the inferior by resources and management strategy. Though this study has limitation of small sample, limited questionnaire and performance measure, it has contribution of identifying key determinants of new venture performance with the integrated frame of study.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.4
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• pp.247-264
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• 2016

The purpose of this study is to find the determinants for the type(Franchising or Independent Entrepreneurship) of new venture creation. This study conducted an empirical analysis on a total of 398 samples of survey gathered from people in Seoul, Gyoeng-gi, Daegu, and Gyeonsangbuk-do. This study includes not only personal traits, but also entrepreneurial intention and network as independent variables. Findings of the analysis reported that Entrepreneurial intention, Need for achievement, Autonomy, Entrepreneurship, Self-efficacy, Education, Network, Age, and Income have significant discriminant power, in order of priority, on general two groups of Franchising and Independent Entrepreneurship. However, in the study, autonomy is revealed as the sole discriminant factor on considering venture creation groups. Based on the result, the study contributes theoretical and practical implications in relation to the determinants for the type of franchising or independent entrepreneurship.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6587-6598
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• 2014

This study tested the hypothesis from the previous research issues and empirically investigated the determinants of cooperative strategy for technological innovation, using the multinomial logit model. The meaningful conclusions from this study are as follows. First, the characteristics of the company and product are not the significant determinants for cooperative strategy for technological innovation. Second, formal R&D organization characteristics are significant factors in determining the type of cooperative strategy for technological innovation. Third, the support of government is a significant determinant and if a company receives more government support, it is likely to accept public type cooperation. Fourth, the characteristics of industry are significant determinants and if a company belongs to a higher technology industry, it is likely to accept vertical type cooperation with private enterprises. This study analyzed the hypotheses raised in a variety of studies empirically. This paper presents the basis of various studies concerning technological cooperation strategies.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.1
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• pp.1-21
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• 2024

Recently, venture capital investment has been shrinking globally due to high interest rates and economic slowdown. Korea is no exception. Due to the downturn in the M&A and public markets, increasing economic uncertainty, and the aftermath of corporate bankruptcies, venture capitalists are facing many difficulties in raising funds. In the changed economic environment, the investment decision factors of venture capitalists have also changed. However, studies on VCs' investment decisions have focused on the general economic environment. This study examines how VCs' investment decision-making factors change during economic recessions and booms. To this end, we interviewed active investors who have experienced both economic recessions and booms to compare how VCs' investment decision factors change: 1) personal characteristics of founders, 2) experience of founders, 3) product/service, 4) market, 5) financial situation, 6) contract terms and 7) venture capital co-investment. The results showed that founder's personal characteristics, experience, and product/service were more important during the economic recession. Market is slightly more important during economic booms. The importance of financial situation and investment conditions increased sharply during the recession compared to the boom. Finally, venture capital co-investment did not differ significantly between recessions and booms. By understanding the investment decision-making factors of venture capitalists in the recent difficult venture investment environment, this study aims to help startups raise funds and survive in a difficult market.

• Journal of Technology Innovation
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• v.19 no.3
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• pp.115-140
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• 2011

The fact that innovation activities of venture firms and start-ups play crucial role in driving industrial development and economic growth has significantly increased the importance of business incubator and techno-park which promote new businesses creations. This review paper aims at not only generating performance measurement index of business incubators but also categorizing performance determinants in accordance with three different theoretical perspectives of resource-based view, strategy patterns, and social networks. Futhermore, as future direction of research, this paper emphasizes structured research efforts on the critical effects of incubator's governance patterns, external and regional contexts, and analysis of government incubator policy.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.1
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• pp.17-29
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• 2020

In recent years, universities, with their intellectual properties and human resources, become main drivers for technology transfer. Universities in Korea have various organizations to support the technology transfer and commercialization. Among them, a technology holding company plays the critical role to successfully implement the task. Nonetheless, the performance of the technology holding company is well below the expectation of industry, government and universities themselves. The lack of expertises and experience together with the ill-suited government policies could be attributable to the observed under performance. More recently, however, the technology holding company acts as an accelerator or venture capital to search and fund promising start-ups. The university venture capital thus transforms a traditional university into an entrepreneurial university. Focusing on the role of the technology holding company as an accelerator or venture capital, the paper analyzes the characteristics of the university venture capital and the invested start-ups. The performance of the university venture capital is measured and the determinants of the performance are empirically tested. The results show that the co-investment of outside investors and the support of government program, known as Tech Incubator Program for Startup Korea, yields the highest performance. The result indicates that the coordination of the university venture capital, industry and government is the key to the success of early start-ups. The paper is the first to analyze the performance of the university venture capitals in Korea and thus contributes to the literature.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.6
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• pp.65-77
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• 2017

The syndicated investment strategy of venture capital has merits such as reductionof investment risk, efficient management of investment resources, and information asymmetry mitigation. This study analyzes the investment strategy and network of venture capital by collecting and analyzing investment information of Korean venture capital on Korean start-ups for three years from 2014 to 2016. We could not find statistically significant association with the choice of syndicated investment of the stage of start-ups, the venture capital expertise (investment concentration), internal competence (number of workforce and professional manpower), and the breadth of investment network. As a result of this study, the factors that determine venture capital 's syndicated investment in Korea are only the financial factors such as the size of the investment amount and the size of the fund besides the business field of the invested company. The results suggest that the majority of venture capital firms in Korea may not customize their investment strategies in terms of their expertise or inherent business risks of invested companies.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.4
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• pp.45-55
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• 2022

Accelerator is a private investment institution that provides startups with comprehensive solutions to solve various difficulties such as startup facilities, funds, commercialization, securing a market etc. In addition to the role of an investor as a new startup support model, accelerators have contributed much to improvement of business ability of startups through intensive mentoring. Considering that previous studies gave weight to the determinants of investment from the perspective of investors, this study made a comparative analysis on the relative importance of determinants of investment in startups among accelerators, investors and entrepreneurs through the method of AHP. Results show that accelerators and investors regard "managerial characteristics" of startups as of the highest importance, whereas entrepreneurs think that "market characteristics" of startups are the most important. The result stems from an empirical judgment from the perspective of investors that success of startups depends on the ability of entrepreneur, and it is considered that investors evaluated marketability of startups as the most important factor in consideration of investment payback period. The result is similar to the result of previous studies on the determinants of investment determinants of angel investors and venture capitals. This paper is expected to make a contribution to the advancement of investment decision-making model for accelerators to discover startups with high possibility to grow and achieve more in incubation and investment.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.1
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• pp.253-270
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• 2023

Research on investment determinants of accelerators, which are attracting attention by greatly improving the survival rate of startups by providing professional incubation and investment to startups at the same time, is gradually expanding. However, previous studies do not have a theoretical basis in developing investment determinants in the early stages, and they use factors of angel investors or venture capital, which are similar investors, and are still in the stage of analyzing importance and priority through empirical research. Therefore, this study verified for the first time in Korea the discrimination and effectiveness of investment determinants using accelerator investment determinants developed based on the business model innovation framework in previous studies. To this end, we first set the criteria for success and failure of startup investment based on scale-up theory and conducted a survey of 22 investment experts from 14 accelerators in Korea, and secured valid data on a total of 97 startups, including 52 successful scale-up startups and 45 failed scale-up startups, were obtained and an independent sample t-test was conducted to verify the mean difference between these two groups by accelerator investment determinants. As a result of the analysis, it was confirmed that the investment determinants of accelerators based on business model innovation framework have considerable discrimination in finding successful startups and making investment decisions. In addition, as a result of analyzing manufacturing-related startups and service-related startups considering the characteristics of innovation by industry, manufacturing-related startups differed in business model, strategy, and dynamic capability factors, while service-related startups differed in dynamic capabilities. This study has great academic implications in that it verified the practical effectiveness of accelerator investment determinants derived based on business model innovation framework for the first time in Korea, and it has high practical value in that it can make effective investments by providing theoretical grounds and detailed information for investment decisions.