• Journal of Service Research and Studies
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• v.8 no.3
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• pp.115-136
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• 2018

Recently R&D projects take a collaborative works which involve industries, research institutions, and academic fields together. Collaborative R&D enjoys the economy of scales and economic efficiencies in that costs and risks share each others and compensate their competences. But there are some problems. The imbalance of power, the asymmetry of information, loss of trust, and opportunism among the co-researchers make the collaborative R&D difficult to succeed and disappointed outcomes. There are many variables on explaining the interorganizational relationships. Among them, I choose some relevant variables, construct research model and some hypotheses. Independent variables are fairness and quality, and dependent variables is loyalty. And trust are treated as the intervening variable between the independent variables and dependent variable. To test the research model and some hypothesis empirically, I collected the data using the questionnaire, The questionnaire was distributed to the persons that do collaborative R&D in Daeduck Innopolis. Sample size was 448, it was enough to analyze statistically. Data were analysed using the SPSS and AMOS. Procedural fairness and distributive fairness affect the organizational trust positively, and procedural fairness and distributive fairness affect member trust positively. Procedural quality and outcome quality affect the organizational quality positively. Procedural quality affects the member trust positively, but outcome quality does not affect member trust. Procedural fairness and distributive fairness does not affect the loyalty positively. Procedural quality does not affects loyalty, but outcome quality affects the loyalty positively. The organizational trust affects loyalty positively, and member quality affect loyalty positively.

• Korea Trade Review
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• v.41 no.2
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• pp.159-183
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• 2016

This study focuses on export venture firms in Daedeok Innopolis and examines the structural relationships among dynamic capability, technology commercialization competence, innovation performance, and competitive advantage. In particular, this study attempts to analyze dynamic capabilities that may affect technology commercialization competence, innovation performance, and competitive advantage. The development of the research model takes on a dynamic-capability view and is based on empirical studies regarding competitive advantage. A survey of 103 export venture firms was conducted from January 5, 2015, to February 4, 2015. A partial least squares structural equation model is used to test the relationships between constructs set in the study. The results of the study show that the dynamic capability of an export venture firm has a significant positive influence on the firm's technology commercialization competence, innovation performance, and competitive advantage. The study also finds evidence that the export venture firm's technology commercialization competence directly affects its innovation performance and competitive advantage. In addition, the findings indicate that the innovation performance of an export venture firm has a significant positive impact on the firm's competitive advantage. Overall, these findings contribute to a better understanding of the contexts in which dynamic capability represents a specific capability for export venture firms.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.2
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• pp.19-34
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• 2021

The government budget for promoting startup have been skyrocketed as catching up with increasing demands for high-tech startup by disruptive innovation resulted from rapid technology change. However, major trend of startup have still fallen on self-employed type of startup due to the lack of expertise and fund in spite of desperate government policy efforts. In reality, the access to high-tech startup has been very limited and too high huddle to would-be entrepreneur. This paper implement empirical analysis on the effects of entrepreneur competency and satisfaction level to government support, considering these as the KSF for the growth and success of high-tech startup, to the performance of the company. In particular, it focus on defining unique characteristics of high-tech startup through differential proving by the backgrounds of entrepreneur such as major, R&D experience, patent possession, CTO possession. This research carry out survey to 217 entrepreneurs in high-tech company in Daejon and Daegue at R&D Special Innopolis Zone. Research results are as follow. First, entrepreneurial achievement competencies, conceptualization competencies, network competencies and market recognition competencies positively affect the financial and non-financial performance and organizational and technical competencies, while organizational and technological competencies only positively impact on non-financial performance. Second, the satisfaction level of government support showed a positive moderating effect on entrepreneurial achievement competencies and financial performance, while no significant effect in other competencies. Third, positive differential effect by the technological background of entrepreneur such as Major, R&D experience, patent possession, CTO possession) have been confirmed. This paper deliver several significant implications and contributions, First, it propose classified and systematized entrepreneur competency through the domestic and foreign literature reviews. Second, it proves the need for the wider spread of team based startup culture rather then sole startup. Third, it also proves the important role of technological background of entrepreneur among the characteristics of high-tech startup.