• Knowledge Management Research
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• v.7 no.1
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• pp.49-63
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• 2006

The objective of the study is to verify the discriminatory power of technology innovation in predicting Early Stage Ventures' success or failure. To accomplish this objective, we test early stage ventures'(Firm's period is below 3 years)technology innovation and performance. The result of the study is expected to be useful in loan evaluation, investment decision, internal management decision making and business improvement. The results of study is as follows. First, Early Stage Ventures' technology innovation power is composed of 4 major indexes(technology, marketability, manufacturing infra and economic feasibility). Second, we find that thirty-seven minor indexes are significant ex-ante variable which are discriminating between firms' success and failure in Early Stage Ventures. Also thirty-seven minor indexes explain 57.2% of the total variance. This explainable power of these indexes is similar to that of the existing 58 index elements. Finally, we find that the most important technology innovation power of Early Stage Ventures' is economic feasibility.

• Journal of Korea Technology Innovation Society
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• v.13 no.1
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• pp.140-159
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• 2010

The main purpose of this study is to improve the understanding of the failures of venture companies. The study attempts to analyze the causes and the processes of venture failures and the different paths that led to such failures. For the research, 116 firms registered with the Korea Venture Business Association in 1997 were surveyed and traced in 2000. A questionnaire was sent to 105 companies that were operating at the time and 76 of them returned responses. In 2008, the 76 companies were re-traced, and it was found that 41 of them had failed while 35 survived. Through this process, a set of longitudinal data was gathered about the changes in strategies, environments, and organizational structures. Accordingly, t-test and ANOVA analysis were performed on the different causes and processes of venture failures, as well as the taxonomy according to the changes in circumstances. Empirical findings can be summarized as follows. Venture companies failed due to various reasons and there were very different failing processes. In addition, this study found that various failing paths existed among failed venture companies and different factors affected company failures. Considering these findings, this research is clearly advanced and can be distinguished from other existing researches in terms of the dynamic understanding of the failures of venture companies.

• Journal of Korea Technology Innovation Society
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• v.9 no.4
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• pp.812-841
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• 2006

Previous studies have shown that the ex-ante financial ratios, mainly used by financial institutions for loan evaluation purpose, are related to the ex-post finn's performance of venture firm's. The main objective of this study is to examine whether non-financial variables such as 'technology', 'marketability', and 'other business indexes' have extra explanatory power in forecasting the ex-post firm's performance of small and medium size venture firm's in Korea. The implications and results of this study are expected to be useful in loan evaluation, investment decision and internal management decisions of venture firms. Among small and medium sized manufacturing firms funded in the year of 1999 through 2005, 416 firms are selected for our analysis. The relationship between evaluation indexes and firm's success/failure is investigated using binary logistic regression analysis and factor analysis with an aid of SPSS program. The summarized results are as follows. First, current evaluation model, used for loan evaluation purpose for small and medium size manufacturing firms show the same discriminatory power as previous prediction model. Second, among the tested additional variables, significant indices are 'technological capability of CEO', 'managerial capability of CEO', and 'business feasibility'. Third, while previous studies on evaluation structure had 3 factors, this study showed that valuation's structure has 6 factors.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.4
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• pp.27-37
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• 2015

Start up a company is critical to the regional economy and job creation and so get support from government and other organizations, but there are still exist of high rate of failure and CEO's stressful fear of failure. New firms are of utmost importance for the vitality of national economic driving forces but for those failed firms, they caused social and economic problems directly and indirectly, and brought frustration to the founders. The many education and research programs about entrepreneurship and venture creation were undertaken by the country and organizations, but the education and research about the vigilance of failed to start up company were almost ignored. If the attention can be put into the research about failed companies and the research can make the founders and pre-CEOs aware the failure of establishing a company, that would be very valuable as scenarios to see the company risks. This case study shows the finding the reasons which caused the failure of small venture companies and it's implications in the filed of establishing companies. The technology based venture company which had run 10 years in Daedeok's IT field was selected as the research object. The results show that the important factors such as entrepreneur characteristics(lack of communication and management knowledge), business management(lack of business expertise) and technology(loss of unique feature of product and lack of product extension) were the root cause of failures.

• Journal of Industrial Convergence
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• v.14 no.2
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• pp.15-23
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• 2016

Korea is aging rapidly and unprecedentedly in the world, and the social burden is prospected to be increased rapidly. New business start-up in blue ocean area is boomed in Korea, because sedulousness of people and high household saving rate which are basis of the economic development are getting lower, and propensity of the consumption and debt in household are getting higher. This article is refers that what is success factors of new business start-up in blue ocean through investigating the theoretical concept and the success cases. As a result, the success factors of new business start-up are categorized as environmental factors, strategical factors, organizational factors, personal factors, and factors of growing-up stages. In order not only to identify the success factors, but also to avoid failure, it is important that the basic principle should be followed ; Specifying the objectives, Balancing the fund, Meeting good biz-partners, Analysis of the market and Advice of the experts.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.4
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• pp.51-62
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• 2019

This paper investigates the effects of prior entrepreneurial experience on new venture performance. Entrepreneurial experience has significant impacts on the early development processes of new ventures founded by experienced entrepreneurs. There are inconclusive results on the relationships between entrepreneurial experience and new venture performance. Based on the data of Korean new ventures, this paper empirically analyze these relationships of different entrepreneurial experience on new venture performance. Success experience has positive effects on employment but no effect on financial performance. Failure experience has negative relationships with financial performance as well as employment. There are moderating effect of firm age on the relationship of only failure experience with performance. Finally this paper suggests theoretical and practical implications of entrepreneurial experience on new ventures' development and performances.

• Journal of Technology Innovation
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• v.16 no.2
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• pp.125-145
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• 2008

The paper evaluates the Korean science, technology, and innovation policy(STIP) in terms of an individual firm. The firm is Viromed(Ltd), a new technology-based venture company in the field of biotechnology. The case is compared with the 'Hwang Project', which is known as a typical failure case in Korea. In order to evaluate the Korean STIP, we establish 6 areas, which are technological infrastructure, institutional infrastructure, human capital infrastructure, technology market, industrial base, and innovation networks. The study shows that the policy schemes relating with technological infrastructure, institutional infrastructure, human capital infrastructure, and industrial base play a positive role in the start-up, development and innovation of Viromed(Ltd). However, we can hardly find the role of Korean government in fostering the technology market, transferring the technological output to economic performance. Although the international networks with the British, American, and Japanese firms or investors were a key success factor of the growth of Viromed(Ltd), the role of the government in this policy area was not enough. As for the 'Hwang Project', we suggest that the government should consider the possibility of commercialization in choosing R&D projects and determining the size of financial aids. Since the evaluation of the Korean STIP is based on an individual firm, the results of the paper need to be confirmed by a systematic comparison with other cases or industries.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.3
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• pp.15-26
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• 2015

This paper reviews the theoretical background of the entrepreneurship policy recently prevailing in Korea. First of all, we define the entrepreneurship policy as the one that the government increases the supply of the individual entrepreneurs with entrepreneurship and supports their venture creation activities by intervening the entrepreneurial process. We distinguish the entrepreneurship policy from the small and medium-sized enterprises policy and the venture firm policy. As for the legitimacy of the entrepreneurship policy, we introduce the market for entrepreneur, examine the factors resulting in the market failure, and argue the necessity and the principles of government intervention to the market. Based on the entrepreneurial process, we establish the framework of entrepreneurship policy and examine the transmission channels by the policy area. The channels are (1) demand side, (2) supply side, (3) decision-making of establishing a new firm, (4) resources obtaining. Lastly, according to the transmission channels, we classify various entrepreneurship policy tools being presently implemented by the Korean government. However, since this study is a exploratory economic analysis of entrepreneurship policy, the approach and contents of entrepreneurship policy can be varied according to the research agenda and policy intension.

• Journal of Technology Innovation
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• v.29 no.2
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• pp.1-30
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• 2021

Recent years have witnessed various attempts of firms to acquire new knowledge. Purchasing intellectual property or merger and acquisition (M&A) can be such attempts, but joint venture can also be an effective way internalizing new complementary assets from external partners. However, due to difficulties in the formation and implementation of learning strategies, many joint ventures have failed to acquire necessary knowledge. In this respect, based on contingency theory and dynamic capability, the current research aims to investigate the failure case of knowledge transfer in an international joint venture - KEFICO established by Hyundai motors and BOSCH. Case firm optimized for hardware technology but did not establish a differentiated learning strategy and organizational structure to acquire software skills, which are intellectuals of different natures. Due to this inconsistency, it was not able for KEFICO to absorb new type of knowledge (skills related to engine control system). This study suggests the theoretical framework illustrating the case and provides some important implications for organizational learning.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.4881-4894
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• 2014

This study selected 83 manufacturing firms that had been delisted from the KOSDAQ market from 2009 to 2012 and the sample firms for the two-paired sampling method were compared with 83 normal firms running businesses with same items or in same industry. The 75 financial ratios for five years immediately before delisting were used for Mean Difference Analysis with those of normal firms. Fifteen variables assumed to be significant variables for five consecutive years out of the analysis were used to in the Dichotomous Classification Technique, Logistic Regression Analysis and Discriminant Analysis. As a result of those three analyses, the Logistic Regression Analysis model was found to show the greatest discrimination. This study is differentiated from previous studies as it assumed that the firm's failure proceeded slowly over long period of time and it tried to predict the firm's failure earlier using the five years' historical data immediately before failure, whereas previous studies predicted it using three years' data only. This study is also differentiated from the proceeding comparative studies by its statistically complex Multi-Variate Analysis and Dichotomous Classification Analysis, which general stakeholders can easily approach.