• Journal of Information Technology Applications and Management
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• v.22 no.3
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• pp.129-141
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• 2015

The purpose of this study is to provide an explanation for the association between the characteristics of a network and the type of innovation by considering the effect of absorptive capacity. To do so, this study examined the moderating effects of absorptive capacity on the characteristics of network-innovation relationship in a technical-driven venture company. In order to obtain a better understanding about consequences caused by interfirm network, information was obtained from 169 Korean IT venture companies. Results confirmed that the network diversity is positively associated with exploration. Our results also suggested that the network strength is positively associated with exploitation. Finally, we found a positive two-way interaction between absorptive capacity and the network diversity-exploration relationship. Then, we discussed implications and directions for future research.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.379-382
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• 2007

본 연구에서는 IT 아웃소싱의 기초 개념과 기업에서 IT 아웃소싱을 가능하게 하는 이론적인 배경, 비용 및 효과 분석에 대해서 문헌중심으로 살펴보면서 변화하는 글로벌 시대에 IT 아웃소싱을 하기 위해서 고려해야 할 내용을 전략적인 관점에서 제시하고자 한다.

• 한국벤처창업학회:학술대회논문집
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• 2008.04a
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• pp.179-208
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• 2008

In this research, an empirical analysis was performed to determine the correlation between management performance and R&D investment for domestic venture businesses in each industry. Specifically, an empirical analysis for each industry was attempted not only to clarify the general hypothesis on the relationship between management performance and R&D investment for venture businesses but also to demonstrate that differences exist for each industry. Empirical analysis was conducted for eight industries with respect to the $2002{\sim}2006$ panel data extracted as investigative results from the "Investigation Report on Science and Technology R&D Activities" published by the Ministry of Science and Technology. Industrial classification was limited to the middle-level classification (2-digit) in the Korea Standard Industry Code (KSIC) owing to the limited number of panels. Although this research only verified the overall positive effect of R&D activities and funds for existing research on corporate value or productivity and management performance, it was able to document the difference for each individual industry and each business size unlike existing research.Furthermore, the reliability of the research results was enhanced by targeting companies that have been continuously conducting R&D and management activities using consistent 5-year panel data in the analysis. Again, this was something that existing research did not have. Finally, through the use of recent data from 2002 after the IMF economic crisis up to 2006 in the empirical analysis, this research proposed the problems due to the prevailing circumstances at the time of entering the advanced nation stage based on an empirical analysis; the prevailing problems during the pursuit of advanced nation status before the IMF crisis broke out were not tackled. The key empirical analysis yielded several results. First, capital and size of the labor force have a positive correlation with the management performance for the entire company or the venture business. This applies to all eight industries as the subjects of the analysis. Second, although the number of years since a company has been established can have positive or negative correlation with management performance for the entire company or venture business in specific industries, a definite overall trend cannot be identified. Third, R&D investment can be said to have an overall positive effect on corporate management performance. Fourth, the size of the research staff cannot be said to be a factor unilaterally affecting the management performance of the entire company or the venture business. Fifth, the number of years a research institute has been in operation, which was assumed to have a positive effect on the management performance of a company because of the accumulated R&D know-how -- definitely acts as a positive factor contributing to the management performance of a company.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.3 no.1
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• pp.1-28
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• 2008

In this research, an empirical analysis was performed to determine the correlation between management performance and Empirical Research on the R&D investment for domestic venture businesses in each industry. Specifically, an empirical analysis for each industry was attempted not only to clarify the general hypothesis on the relationship between management performance and R&D investment for venture businesses but also to demonstrate that differences exist for each industry. Empirical analysis was conducted for eight industries with respect to the $2002{\sim}2006$ panel data extracted as investigative results from the "Investigation Report on Science and Technology R&D Activities" published by the Ministry of Science and Technology. Industrial classification was limited to the middle-level classification (2-digit) in the Korea Standard Industry Code (KSIC) owing to the limited number of panels. Although this research only verified the overall positive effect of R&D activities and funds for existing research on corporate value or productivity and management performance, it was able to document the difference for each individual industry and each business size unlike existing research. Furthermore, the reliability of the research results was enhanced by targeting companies that have been continuously conducting R&D and management activities using consistent 5-year panel data in the analysis. Again, this was something that existing research did not have. Finally, through the use of recent data from 2002 after the IMF economic crisis up to 2006 in the empirical analysis, this research proposed the problems due to the prevailing circumstances at the time of entering the advanced nation stage based on an empirical analysis; the prevailing problems during the pursuit of advanced nation status before the IMF crisis broke out were not tackled. The key empirical analysis yielded several results. First, capital and size of the labor force have a positive correlation with the management performance for the entire company or the venture business. This applies to all eight industries as the subjects of the analysis. Second, although the number of years since a company has been established can have positive or negative correlation with management performance for the entire company or venture business in specific industries, a definite overall trend cannot be identified. Third, R&D investment can be said to have an overall positive effect on corporate management performance. Fourth, the size of the research staff cannot be said to be a factor unilaterally affecting the management performance of the entire company or the venture business. Fifth, the number of years a research institute has been in operation, which was assumed to have a positive effect on the management performance of a company because of the accumulated R&D know-how -- definitely acts as a positive factor contributing to the management performance of a company.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.2
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• pp.63-73
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• 2016

In these days startup became one of the most hot issue in business world. The problem is many startup couldn't overcome the valley of death. For this reason many startup want to funded by venture capital. However startup's business is trade secret itself, so they have to make strategic approach to venture capital. The purpose of study is to find the way to make strategic decision for startup. By analyzing the relation between startup's characteristic and venture capital's investment portfolio. Four famous venture capital(Sequoia capital, Lightspeed venture, Firstround and Khosla venture) and their seed invested startup Dropbox, Airbnb, Snapchat, Uber and Instacart was selected for this study. As a result, each venture capital has their own invest category characteristic and their seed funding belong to their category. Moreover, between seed funded startup and 36,4% of 244 past invented company shown vertical relationship, beside 0.5% of past 244 invested company shown horizontal relationship. This result shown the importance of the relation between startup's characteristic and venture capital's portfolio. Startup have to check the venture capital's portfolio for the strategic approach for funding and venture capital have to make mutual positive portfolio for decreasing the risk.

• Journal of Technology Innovation
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• v.24 no.3
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• pp.1-28
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• 2016

This paper suggests objective practical investment index for venture capital investment evaluation, deviating from investment behavior that relies on venture capitalist's intuition and experience. To deduct universally valid practical venture investment index, We conducted a survey of venture capitalist 65 and analyzed the data using AHP method. The results show that when VCs determine whether to invest in a venture or not, market related factors are considered most important. For venture companies who hope to receive investment from VCs, market access, CEO's technical / managerial experience, and recommendation/reputation are considered as crucial factors.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.4
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• pp.197-212
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• 2019

The purpose of this study is to identify the maturity stages of venture firms through classification analysis, which is widely used as a big data technique. Venture companies should develop a competitive advantage in the market. And the maturity stage of a company can be classified into five stages. I will analyze a difference in the growth stage of venture firms between the survey response and the statistical classification methods. The firm growth level distinguished five stages and was divided into the period of start-up and declines. A classification method of big data uses popularly k-mean cluster analysis, hierarchical cluster analysis, artificial neural network, and decision tree analysis. I used variables that asset increase, capital increase, sales increase, operating profit increase, R&D investment increase, operation period and retirement number. The research results, each big data analysis technique showed a large difference of samples sized in the group. In particular, the decision tree and neural networks' methods were classified as three groups rather than five groups. The groups size of all classification analysis was all different by the big data analysis methods. Furthermore, according to the variables' selection and the sample size may be dissimilar results. Also, each classed group showed a number of competitive differences. The research implication is that an analysts need to interpret statistics through management theory in order to interpret classification of big data results correctly. In addition, the choice of classification analysis should be determined by considering not only management theory but also practical experience. Finally, the growth of venture firms needs to be examined by time-series analysis and closely monitored by individual firms. And, future research will need to include significant variables of the company's maturity stages.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.1
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• pp.1-12
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• 2015

The purpose of this study is to examine the effect of company characteristics and individual characteristics perceived by employees of small businesses on job satisfaction and especially to seek activation of the organization by extending from previous studies to examine the intermediary role of company innovation and applying management measures focusing on the environment of changing global society where CEOs of small businesses cause job satisfaction of organizational members and present the direction for the improvement of management and institutional development. This study was carried out for about 2 months targeting employees of small businesses and the results of empirical analysis are as follows: First, company characteristics and individual characteristics perceived by employees of small businesses turned out to have a positive (+)effect on job satisfaction but the hypothesis that job stress affects job satisfaction was not significant. Second, of the effects of company characteristics and individual characteristics perceived by employees of small businesses on company innovation, organization flexibility and CEO's leadership, company communication and degree of cooperation between departments, individuals, challenge of individuals perceived individual characteristics were found to affect company innovation but the hypothesis that job stress affects it was not significant. Third, company innovation was found to have a positive (+)effect on job satisfaction and fourth, in the intermediary effect verification of company innovation between company characteristics and individual characteristics perceived by employees and job satisfaction, organization flexibility and communication, collaboration turned out to perform partial intermediation and CEO's leadership to perform full intermediation and individual challenge performance to perform full intermediation and the intermediary effect of job stress was not proven. These results are company characteristics and individual characteristics that is the perception of the independent variables in SME employees is not only a direct relationship with job satisfaction, suggesting that also has an indirect effect is mediated depending on the innovation of the company. Therefore, it can be seen that even for the innovation performance of enterprises is important to increase the job satisfaction of employees of SMEs. In particular, the conductivity of the leadership and individual parameters so completely over the innovativeness of the company is the result of job satisfaction itgetda can be said that the innovation efforts of the organization is effective at the same time be pursued.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.6
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• pp.125-135
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• 2016

It is well known that the encouraging startups play a major role for innovation in an economy. Thus, venture capital are indispensable for the growth of startups. The literature on investment performance of venture capital reveals that the investment strategies depend largely on the characteristics and capabilities of venture capital. Therefore, investment capability of venture capital is important. There are various investing roles that can be identified by venture capital when determining what kind of startup to invest in, whom to invest with, how to invest, how to post-investment management after investment, and so on. This research was conducted to understand the effect of investment capabilities of venture capital on investment performance. To do so, we surveyed 70 venture businesses in the Seoul and Gyeonggido region for an empirical analysis. The empirical results of this paper are summarized as follows. First, the financial performance of venture firms is influenced by the financial capacity of venture capitalists, and investment evaluation of venture capital. Second, the business performance of venture firms is influenced by the marketing support consulting of venture capital, and investment evaluation of venture capital.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.97-110
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• 2020

This paper is on the policy proposal for venture ecosystem. First, one of the three secrets of the US venture ecosystem is the law of 50:50. Angel capital investment is as important as venture capital investment. Although professional angel investors and accelerators account for as much as VC in the venture ecosystem, they are ignored from policy considerations. We argue that the revision of related law is urgent. Second, large US firms invest more in M&As than in internal R&D. Therefore, accelerators and professional angel investors could make effective investment recovery after investing in a startup company. In other words, angel capital does not come in without secondary market development. Angel capital and secondary markets are the two pillars of the venture ecosystem. The government alone is difficult to develop a secondary market. This is why the private sector should come in and introduce corporate venture capital (CVC). Third, we believe the policy direction for national economic growth should be extended from the startup to scale-up. This is because the startup's sales and job creation will start in five years. While the previous study focused on funding (venture financing), this paper aims to balance all three stages of a venture: startup, growth, and recovery, which are the life cycle of a venture company or venture investment. In particular, we propose specific policies in each chapter to improve practical application.