• 정보화사회
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• s.157
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• pp.61-66
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• 2002

월드컵을 계기로 부각된 우리나라의 'IT강국 이미지'가 얼마나 지속될 것으로 보느냐는 질문에 대다수(87.0%)의 응답자가 향후 IT에 대한 관심과 투자가 지속된다면 IT강국의 입지가 공고히 될 것으로 응답했다. 그러나 IT 열풍을 일시적인 과열현상으로 보고, 월드컵의 열기가 식으면 IT에 대한 관심도 급속히 냉각될 것이라는 견해도 8.1%로 나와 IT산업에 대한 지원과 투자가 중요한 것으로 나타났다.

• Journal of Korea Technology Innovation Society
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• v.13 no.3
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• pp.558-586
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• 2010

This paper analyze the economic effect of R&D investment for the IT Green growth initiatives in Korea, relating to Green growth which is main force for activating in order to durable growth currently. The IT green growth initiatives can be grouped by IT manufacture, IT service, and S/W and computer-related services in the R&D investment and to be analyzed by the RAS forecasting methods. The results indicate that the production-inducing effect is about 31,853 billion won for the IT manufacture, and IT service is about 14,360 billion won, and the next is S/W and computer-related service whose effect is about 4,482 billion won. The import, value added, and employment effect of IT manufacture is also bigger than those of any other sectors in IT. This is because R&D investment in case of IT manufacture is more huge than IT service. Besides, employment-inducing effects show that IT manufacture is highest in 16,596 persons; IT service is secondly highest in 9,000 persons and S/W; lastly, computer-related service is much lower than those of any other sector. So we can conjecture that the long-term initiatives of IT green growth implementation lead to increasing size of benefits in the IT sectors.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.4
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• pp.21-35
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• 2023

Expectations surrounding generative AI technology and its profound ramifications are sweeping across various industrial domains. Given the anticipated pivotal role of the startup ecosystem in the utilization and advancement of generative AI technology, it is imperative to cultivate a deeper comprehension of the present state and distinctive attributes characterizing venture capital (VC) investments within this domain. The current investigation delves into South Korea's landscape of VC investment deals and prognosticates the projected VC investments by juxtaposing these against the United States, the frontrunner in the generative AI industry and its associated ecosystem. For analytical purposes, a compilation of 286 investment deals originating from 117 U.S. generative AI startups spanning the period from 2008 to 2023, as well as 144 investment deals from 42 South Korean generative AI startups covering the years 2011 to 2023, was amassed to construct new datasets. The outcomes of this endeavor reveal an upward trajectory in the count of VC investment deals within both the U.S. and South Korea during recent years. Predominantly, these deals have been concentrated within the early-stage investment realm. Noteworthy disparities between the two nations have also come to light. Specifically, in the U.S., in contrast to South Korea, the quantum of recent VC deals has escalated, marking an augmentation ranging from 285% to 488% in the corresponding developmental stage. While the interval between disparate investment stages demonstrated a slight elongation in South Korea relative to the U.S., this discrepancy did not achieve statistical significance. Furthermore, the proportion of VC investments channeled into generative AI enterprises, relative to the aggregate number of deals, exhibited a higher quotient in South Korea compared to the U.S. Upon a comprehensive sectoral breakdown of generative AI, it was discerned that within the U.S., 59.2% of total deals were concentrated in the text and model sectors, whereas in South Korea, 61.9% of deals centered around the video, image, and chat sectors. Through forecasting, the anticipated VC investments in South Korea from 2023 to 2029 were derived via four distinct models, culminating in an estimated average requirement of 3.4 trillion Korean won (ranging from at least 2.408 trillion won to a maximum of 5.919 trillion won). This research bears pragmatic significance as it methodically dissects VC investments within the generative AI domain across both the U.S. and South Korea, culminating in the presentation of an estimated VC investment projection for the latter. Furthermore, its academic significance lies in laying the groundwork for prospective scholarly inquiries by dissecting the current landscape of generative AI VC investments, a sphere that has hitherto remained void of rigorous academic investigation supported by empirical data. Additionally, the study introduces two innovative methodologies for the prediction of VC investment sums. Upon broader integration, application, and refinement of these methodologies within diverse academic explorations, they stand poised to enhance the prognosticative capacity pertaining to VC investment costs.

• 한국IT서비스학회:학술대회논문집
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• 2006.11a
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• pp.512-512
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• 2006

1999년부터 2004년까지 세계 주요국가의 정보통신산업의 투자현황과 경제지표를 기반으로, 정보통신산업의 투자가 어떻게 국가경제 발전에 영향을 미치는지를 연구한다. 이 주제의 다른 연구들에 비하여 방법론적인 차이점은, 첫째 인터넷 거품 현상의 와중과 그 이후의 기간을 모두 고려했다는 점, 둘째, 정보통신 투자의 영향이 발현되는데 다소 시간의 경과가 필요하므로 Malmquist 방법을 이용한 통시적인 접근을 사용했다는 점, 셋째, 각 국가의 고유 현상이 고려된 모형하에서 분석되어야 한다는 점 등이다. 분석방법을 이끄는 주요 이론적 기반으로는, 정보기술의 경제적 가치를 인프라와 응용기술로 구분하여 분석하는 Barua, Kriebel & Mukhopadhyay (1995) 의 Two way approach를 채택하고자 한다.

• Korean Journal of Construction Engineering and Management
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• v.5 no.6 s.22
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• pp.179-190
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• 2004

Present private infrastructure investment in SOC investment has increased up to $11\%$ compared to the year 2003 and it is expected to increase in the future. In spite of its rapid increasement we don't have definite standard or system on distinctly presented rate of return for domestic private infrastructure investment yet, and practical and scientific research is not sufficient, compared to its necessity and importance. Hence, in this study we tried to build theories systematically, which are related to rate of return of private infrastructure investment to promote SOC private infrastructure investment to last successfully and present the proper level of rate of return of private infrastructure we investment appropriate in domestic situations through diverse analysis. Therefore, to present reasonable rate of return, we used 5 methods: existing research analysis, case study, financial index analysis, analysis of investors rate of return, and analysis of rate of return in a real estate market. After comparing and analyzing these methods, Ive presented in the end the appropriate level of rate of return of private infrastructure investment, which can be applied in a domestic market.

• The Korean Journal of Financial Management
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• v.23 no.2
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• pp.1-25
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• 2006

This paper studied the performance of momentum strategy and contrarian strategy based or past stock return ratio of Korean stock market. The comparative study shows that the volatility of stock markets that can be found the performance of momentum strategy is smaller than that of emerging stock market. Accordingly, This paper examines that the performances of momentum strategy and contrarian strategy are affected by the larger volatility in Korean stock market. Further analysis using the 6 years sub-portfolios reveals that the momentum strategy is significant only during 1980 to 1986 time period when it had the least market volatility. Additionally, we investigate whether firm-level volatility as well as market volatility influence on the performance of contrarian strategy, and figure out that the momentum strategy is significant for the portfolio composed of firms with smaller volatility for previous period, while not significant for the portfolio composed of firms with larger volatility.

• Korean small business review
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• v.39 no.2
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• pp.19-35
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• 2017

It is very important for entrepreneurial firms to acquire and exploit the resources necessary for growth. This study examines how venture capital financing affect these entrepreneurial firms' ability to acquire and exploit the resources. Particularly, based on the resource based view, the authors explain the relationship between venture capital financing and entrepreneurial firm's market performance. Empirical results illustrate that venture capital financing positively and significantly affects the market performance of entrepreneurial firms. It is concluded that entrepreneurial firms need to increase the number of alliances with venture capital, which supports various activities after the investment to achieve growth with resource limitation.

• Korea Trade Review
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• v.42 no.4
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• pp.139-157
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• 2017

Whether an investor can invoke a dispute settlement procedure stipulated in other BIT based on the MFN clause in the original BIT is an important issue. There is a difference in the interpretation of MFN clause in which the scope of the treatment stipulates the slightly different contents for each investment treaty. Therefore, this study considered ICSID arbitration cases related to the applicability of MFN clause for investment dispute settlement provisions. There are two different approaches for the applicability of MFN clause by arbitral tribunals. At first, the expanded interpretation of the MFN clause can be applied to procedural regulations, in that the purpose of the investment treaty is to protect foreign investors and to ensure their status. So, foreign investors can invoke a BIT of a third country that is advantageous to them. Second, the limited interpretation of the MFN clause can not be applied to procedural regulations. Without explicit regulation, the term treatment can not be considered to include dispute resolution provisions. And the BIT that the host state has concluded with third country is a treaty that applies only to the contracting party, so it can not be used by foreign investors of other nationality. Therefore, this study suggests concretely stipulating the scope of MFN clause under the investment treaty, highlighting that certain restrictions should be applied to the MFN clause. Furthermore, it is required continually investigating and analyzing the database of the scope of MFN clause.

• The Journal of Information Systems
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• v.14 no.1
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• pp.1-17
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• 2005

기업성과에 미치는 정보기술의 전략적 영향력이 높다는 인식으로 인해, 많은 기업들이 정보기술에 대한 투자를 증대하고 있다. 하지만, 정보기술전략과 정보기술 성과간의 관계를 직접적으로 규명한 실증연구는 찾아보기 힘들다. 본 연구에서는 정보기술에 의한 성과가 다르게 나타나는 원인이 기업이 정보기술로부터 얻고자 하는 전략적 목표가 다르기 때문이고 서로 다른 목표에 의해 정보기술의 투자 방향이 다르게 나타난다는 것이 초점을 맞추고자 한다. 따라서 본 영구는 다음과 같은 연구문제를 도출하였다. 1) 정보기술전략은 정보기술성과 간의 관계를 규명하는데 본 연구의 목적이 있으며, 이를 통해 정보기술성과가 다르게 나타나는 현상을 설명하고자 한다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.5
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• pp.1-16
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• 2022

Although start-up is a key national strategy to increase national competitiveness and create employment, the survival rate of start-ups has not improved significantly. This is an important reason for the inability to provide timely and appropriate support to startups, which are in the early stages of start-up, due to the unique limitations of existing start-up support institutions and investors. The relatively recent accelerator is attracting attention as a subject of solving the above problems through professional incubation and investment. However, there are only a few empirical studies on investment determinants that affect the survival and success of accelerators, and there is a lack of theoretical evidence. Accordingly, in previous studies, 12 investment determinants were derived from a static, strategic, and dynamic perspective as accelerator investment determinants based on a business model innovation framework. This study subdivided the accelerator investment determinants derived through previous studies into 21 and analyzed the importance and priority of each factor using AHP (Analytic Hierarchy Process) analysis technique for domestic accelerator investment experts. As a result of the analysis, the top factors of importance of accelerator investment determinants were in the order of 'human resources', 'customer and market', 'intellectual resources', and 'entrepreneur's ability to realize opportunities'. It can be seen that the accelerator considers the core competencies of startups to implement solutions as the most important factor when making startup investment decisions. It was also confirmed that accelerators are strategic to create a clear value proposition and differentiated market position based on the core competitiveness of startups, and that the core value delivery method prefers a market-oriented business model and recognizes entrepreneurs's innovation capability is an important factor to realize a business model with limited resources in a rapidly changing market. This study is of academic significance in that it analyzes the importance and priority of accelerator investment determinants through demonstration as a follow-up study on accelerator investment determinants derived based on business model innovation theory that reflects the nature, goals, and major activities of accelerator investment. In addition, it is of practical value as it contributes to revitalizing the domestic startup investment ecosystem by providing accelerators with theoretical grounds for investment decisions and specific information on detailed investment determinants.