• Korea Trade Review
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• v.47 no.2
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• pp.47-67
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• 2022

This study is to investigate the relationships between R&D collaboration and competitive advantage in Korean international venture firms from the perspective of resource-based theory, organizational learning and network theory. The R&D collaboration is divided into vertical cooperation within the value chain and horizontal cooperation beyond value chain. The first key finding from empirical analysis is that both vertical and horizontal R&D collaborations have significantly positive impacts on technology based competitive advantages. The vertical R&D collaboration has more impacts on competitive advantages than horizontal R&D collaboration. This suggests that R&D collaboration with purchasers and suppliers plays a greater role for venture organizations' competitiveness. Second, the potential knowledge based absorption capacity and mutual goodwill trust also work significantly to reinforce the positive influences of R&D collaboration to the competitive advantage. This implies that mutual trust between partners participating in collaboration and absorption capacity within venture organizations would strengthen the effectiveness of R&D cooperation. This study provides the practical implications that the performance and effectiveness of R&D collaboration may rely on the nature of cooperation partners and internal organization capability.

• Smart Media Journal
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• v.11 no.5
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• pp.82-90
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• 2022

Along with the growing popularity of 5G technology, providing flexible and personalized network services suitable for requirements of customers has also become a lucrative venture and business key for network service providers. Therefore, dynamic network provisioning is needed to help network service providers. Moreover, increasing user demand for network services meets specific requirements of users, including location, usage duration, and QoS. In this paper, a routing algorithm, which makes routing decisions using Reinforcement Learning (RL) based on the information about link stability, is proposed and called Link Stability aware Reinforcement Learning (LSRL) routing. To evaluate this algorithm, several mininet-based experiments with various network settings were conducted. As a result, it was observed that the proposed method accepts more requests through the evaluation than the past link annotated shorted path algorithm and it was demonstrated that the proposed approach is an appealing solution for dynamic network provisioning routing.

• 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.7 no.1
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• pp.87-97
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• 2012

This study empirically analyzed how technological innovation performance of venture business is affected by utilization of external resources, especially utilization of external cooperative network, government's policy funds and venture capital funds, using '2008 Venture Business Investigation'. This study further analyzed how the effect of utilization of external resources on technological innovation performance varies according to growth stage. Analysis results show that all variables related to utilization of external resources, i.e. external cooperative network, government's policy funds and venture capital funds, were observed as affecting positively to technological innovation performance. However, adjustment effect was not observed as statistically meaningful according to growth stage of venture business. Further analysis just observed that the effect on technological innovation performance at each growth stage varies according to type of utilization of external resources.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.193-216
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• 2020

Due to the recent mid- to long-term slump and falling growth rates in the global economy, interest in organizational structures that create new products or services as a new alternative to survive and develop in an opaque environment both internally and externally, and enhance organizational sustainability through changes in production methods and business innovation is increasing day by day. In this atmosphere, we agree that the growth of small and medium-sized venture companies has a significant impact on the national economy, and various efforts are being made to enhance the technological innovation capabilities of the members so that these small and medium-sized venture companies can enhance and sustain their performance. The purpose of this study is also to investigate how the technological innovation capabilities of small and medium-sized venture companies correlate with the performance of knowledge management and to analyze the role of network capabilities to organize the strategic activities of enterprise to obtain the resources and organizational capabilities to be used for value creation from external networks. In other words, research was conducted on the impact of technological innovation capabilities of small and medium venture companies on knowledge management performance by using network capabilities as parameters. Therefore, in this study, we would like to verify the hypothesis that innovation capabilities will have a positive impact on knowledge management performance by using network capabilities of small and medium venture companies. Economic activities based on technological innovation capabilities should respond quickly to new changes in an environment where uncertainty has increased, and lead to macro-economic growth and development as well as overcoming long-term economic downturns so that they can become the nation's new growth engine as well as sustainable growth and survival of the organization. In addition, this study was conducted by setting the most important knowledge management performance within the organization as a dependent variable. As a result, R&D and learning capabilities among technological innovation capabilities have no impact on financial performance. In contrast, it was shown that corporate innovation activities have a positive impact on both financial and non-financial performance. The fact that non-financial factors such as quality and productivity improvement are identified in the management of small and medium-sized venture companies utilizing their technological innovation capabilities is contrary to a number of studies by those corporate innovation activities affect financial performance during prior research. The reason for this result is that research companies have been out of start-up companies for more than seven years, but sales are less than 10 billion won, and unlike start-up companies, R&D and learning capabilities have more positive effects on intangible non-financial performance than financial performance. Corporate innovation activities have been shown to have a positive (+) impact on both financial and non-financial performance, while R&D and learning capabilities have a positive (+) impact on financial performance by parameters of network capability. Corporate innovation activities have been shown to have no impact on both financial and non-financial performance, and R&D and learning capabilities have no impact on non-financial performance. It could be seen that the parameter effects of network competency are limited to when R&D and learning competencies are derived from quantitative financial performance. It could be seen that the parameter effects of network competency are limited to when R&D and learning competencies are derived from quantitative financial performance.

• Korean Management Science Review
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• v.12 no.3
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• pp.77-95
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• 1995

This paper shows the case study of risk analysis in an weapon system research and development project. For risk analysis, an advanced stochastic networking technique-VERT (Venture Evaluation and Review Technique) is used. Assumptions for activities of network diagram and conversion methods from PERT ( Program Evaluation and Review Technique) to VERT are discussed. Also, simulation result is presented and discussed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.5
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• pp.141-155
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• 2014

This study examines the effect of previous work experience on the long-lived venture firm called 'Good Quality startup'. The research explores entrepreneurs of 16 mobile application startups that were invested by the venture capital, 'K-ventures', through the resource-based view. The results show that all of entrepreneurs had previous experiences of their business domain. They accumulated human resources such as technology capabilities, knowledge of domain, know-how, networking through learning-by-doing. Entrepreneur's human resources are the key factors for opportunity recognition and realisation process; and it is also on the ground that venture capital determines investment. Venture capital provides financial resources, management support and strong network for venture firm. Technology resources, financial resources, know-how and networking are the core managerial resources to be a long-lived venture firm called 'Good Quality Startup'. This research is an exploratory case study based on previous experience and 'good quality entrepreneurship'. The empirical study hereafter is needed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.2
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• pp.69-76
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• 2015

This paper aims to analyze how the Venture Business Tendency of North Korean refugees affects social adaptation and family health, and to provide proposals for policy making on the issue. For the purpose, we specifically suggest analysis of activation plan that 48 Venture Business North Korean managed Enterprise types, Entrepreneur type, Business type, Gender, Profit etc. As a result of analysis of actual proof, First, The Venture Business North Korean refugees managed need to consult to be technology business professionally because they features to be self-employment than expertise and knowledge basis type. Second, the rate of success of North Korean refugees is researched that female is higher than male. Third, to support Venture Business of North Korean refugees, they need one on one incubating support syspen why they are inexperienced in network, technical skills. Fourth, Venture Business Tendency of North Korean refugees affects social adaptation and family health. Since mid 1990's, North Korean refugees have come to South Korea through China or third countries due to collapsing economy of North Korea. In an effort to help those escaping from North Korea, the Seoul government provided them with a 3-month settlement program. But they have had experienced difficulties in communication, cultural assimilation, and confusion in their value system and identity. For the purpose, one-on-one interview was carried out on 45 North Korean refugees living in Seoul and neighboring cities, and the interviewed group was classified into three categories: single households, single-parent families and families with parents. The study findings demonstrated four policy alternatives to help improve quality of life of North Korean refugees and to help their successful settlemen.

• Journal of Distribution Science
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• v.7 no.3
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• pp.101-122
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• 2009

This study examines internationalization determinant factors, motivation and goal of internalization, market entry methods, timing, region, internalization strategy and access method, internationalization performance and success factors, problems and troubles of internalization, and ultimately suggests internalization strategies for domestic venture companies. The study found that interior factors of internationalization determinant factors are characteristics of new firm and technological capabilities while exterior factors include narrow domestic market, industrialization level, competition level, product life cycle, economy of scale, and global network. Motivation was found to include securing and preoccupying market, cost reduction and efficient production through moving of production base, and the necessity of network formation.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.4 no.4
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• pp.71-88
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• 2009

The Korean online gaming industry has seen rapid growth since the boom of information technology (IT) related industries, especially Internet and PC-bang or local area network (LAN) use, throughout the country. Online games are real-time games in which two or more players meet, compete, and cooperate in the same game space using the same communication network. Even though the growth rates of IT-related industries have recently slowed, the growth of the online gaming industry has increased, and Korean firms are expanding their businesses to countries all over the world. However, the online gaming industry is becoming an oligopoly, in which 4-5 leading companies occupy most online gaming markets. This situation presents a disadvantage to the Korean online gaming industry, since online players usually seek a diversity of online gaming contents and high quality online game services. Therefore, small- and medium-sized game developers must survive in this market by upgrading the quality of their online gaming services in an effort to provide differentiated goods and services in monopolistic competition markets. However, most venture companies in the online game industry, whether new or previously existing, are not able to obtain adequate financing. The objective of this paper is to examine the management environment for medium- and small-sized game developers in the Korean online gaming industry. By introducing the case of Grigon Entertainment, we try to identify the source of difficulty obtaining external financing for Korean venture firms in the online gaming industry.