• 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.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 the Korean Society of Marine Environment & Safety
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• v.28 no.1
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• pp.91-99
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• 2022

The shipping industry is a service industry that operates its business by transporting cargo on ships and receiving freight. Therefore, large-scale capital investment is required for ship operation, and if the value of the ship is uncertain, the risk of shipping management increases. This study aims to identify the factors affecting changes in ship value and to analyze the importance of each variable. To achieve the goal, the factors affecting changes in ship value were identified and structured using the techniques of text mining and topic modeling, and classified into three main factors and 12 sub-factors. This study used AHP analysis to examine the relative importance of each factor. Results indicated that the main factor influencing the change in the vessel value was the shipping factor, followed by the investment factor and the environment factor. Other auxiliary factors that substantially affect the ship value include the volatility of the shipping market and of shipping freight.

• Journal of Industrial Convergence
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• v.21 no.1
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• pp.87-93
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• 2023

Determining the timing of buying and selling in stock investment is one of the most important factors to increase the return on stock investment. Buying low and selling high makes a profit, but buying high and selling low makes a loss. The price is determined by the quantity of buying and selling, which determines the price of a stock, and buying and selling is also related to corporate performance and economic indicators. The fear and greed index provided by CNN uses seven factors, and by assigning weights to each element, the weighted average defined as greed and fear is calculated on a scale between 0 and 100 and published every day. When the index is close to 0, the stock market sentiment is fearful, and when the index is close to 100, it is greedy. Therefore, we analyze the trading criteria that generate the maximum return when buying and selling the US S&P 500 index according to CNN fear and greed index, suggesting the optimal buying and selling timing to suggest a way to increase the return on stock investment.

• Environmental and Resource Economics Review
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• v.24 no.4
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• pp.607-627
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• 2015

As observed and experienced in EU ETS, allowance price volatility is one of major concerns in decision making process for $CO_2$ abatement investment. The problem of linearly non-separable profits functions could emerge when one power company holds several power plants with different technology specifications. Under this circumstance, conventional analytical solution for investment option is no longer available, thereby calling for the development of numerical analysis. This paper attempts to develop a Monte-Carlo least squares model to analyze investment options for power companies under emission trading scheme regulations. Stochastic allowance price is considered, and simulation is performed to verify model performance.

• Journal of Technology Innovation
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• v.3 no.1
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• pp.185-212
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• 1995

전통적인 산업조직이론에서 널리 사용되는 시장구조-행동-성과 분석 도구 (The SCP Paradigm)는 시장성과가 가격정책, 기술개발투자(R&D), 광고투자, 생산설비 변경 등 시장행동의 함수라는 암묵적 가정에 근거한다. 최근 시장행동 중에서 기업의 관심이 크게 높아진 R&D 및 광고투자가 시장성과에 미치는 영향이 크게 부각되었으며, 시장성과를 구성하는 주요요인으로 주목받고 있다. R&D 및 광고 투자의 성격과 행태, 그리고 시장성과에 미치는 영향이 상호 유사함에도 불구하고 두 가지 변수를 동시에 다룬 연구는 매우 드물다. 몇 안 되는 연구들도 기업의 행태를 실증적으로 설명하는데 치중함으로써 이론적 근거를 소홀히 하는 경향을 보이고 있다. 즉, 논리의 전개상 이론적인 근거를 바탕으로 수리모형이 먼저 제시된 후에야 이를 검증하는 방법으로 통계모형을 사용하는 것이 옳을 것이다. 이 논문은 기존의 SCP 분석방법을 사용하여 기업이 한정된 재원을 어떤 원칙아래 R&D 및 광고에 분산 투자하는 가를 설명하기 위해 수리모형을 설정한 후, 정태와 동학, 확실성과 불확실성, 단발성과 균등투자전략의 개념을 도입하여 다양한 분석을 시도하였다. 또 R&D 및 광고투자 함수를 이론적 근거에 의해 도입하되, 각 모형에 균형이 존재하는가를 검증하였다. 수리모형을 이용해 분석한 결과 (1) 기업의 투자는 R&D 및 광고투자간에 한계원리(Marginal Principle)가 지켜지도록 분배할 때에 효율적임이 판명되었고, (2) 동학모형이 정학모형을 포함하는 일반모형의 성격을 가지고 있었으며, (3) 투자는 확실성이 높을수록, 분산시킬수록 투자효과가 큰 것으로 나타났다. 한국을 대상으로 한 실증적 모형추정은 앞의 수리모형 및 그 결과에 근거를 두었으며, 한국기업에 적절한 R&D 및 광고투자함수를 추정한 뒤 이를 이용해 업종, 기업규모, 상품유형별로 적합한 모델(Fixed Effects Model)을 결정하고, 각각에 해당하는 통계모형을 구축하였다. 이 결과 (1) 업종 및 기업규모별로 그룹간에 유의한 특성이 발견되었으며, (2) R&D 및 광고투자는 기업의 시장성과를 설명하는 중요한 변수이나, (3) R&D 투자의 경우는 광고에 비해 불확실성이 존재하는 것으로 나타났고, (4) 수리모형에서 도출된 한계원리가 통계모형에서도 유효한 것으로 드러났다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.7
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• pp.3053-3061
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• 2011

This study examines the relationship between R&D(research & development) investment and market value among KOSDAQ firms in the Korea Stock Exchange. We investigate the effect of R&D investment on firm value in both total sample and sub-samples classified by firm characteristics based on types of firms. And we study the impact of a major economic disruption as the global financial crisis triggered by sub-prime mortgage problem in the US on R&D investment relative to the firm value. We find that R&D investment positively affects firm value and the squared term of R&D investment is found to be significant and negatively correlated with market value. This suggests the presence of nonlinear relationship like a reverse U-shape between R&D investment and market value in total sample and most of sub-samples. And we find firm characteristics and global financial crisis partially affect the contribution of R&D investment to market value in some of sub-samples.

• KDI Journal of Economic Policy
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• v.36 no.4
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• pp.33-69
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• 2014

We investigate determinants of fund investment flows using Korean equity investment funds. Unlike previous studies which analyzed net-flows (inflow minus outflow), we analyze fund investment inflows and outflows separately that should properly reflect investors' fund selection and redemption decision. We find similar effects of past return, fund age on net-flows to existing studies based on US market data. The analysis of determinants of inflows shows that inflows are related to past return, fund age and sales fee as net-flows. In contrast, outflows are found to behave quite differently from inflows. Apparently, asymmetry exists between fund investment inflows and outflows at the Korean fund selection market. Specifically, high past returns increase fund investment inflows while increase, rather than decrease, fund outflows. Moreover, 'convexity' is detected both in inflows and outflows: higher past returns accelerate outflows as well as inflows. Effects of sales fee also differ between inflows and outflows. In the 'affiliated' fund sample, sales fee is negatively related to inflows while positively related to outflows. In the 'unaffiliated' fund sample, sales fee is positively related to inflows, but no significant relationship exists with outflows. Empirical findings of this paper imply that the rational investor's fund selection view cannot provide a consistent explanation of the Korean fund selection market. In particular, the positive and convex relationship between past returns and fund outflows is inconsistent with the rational investor view. The fact that investor's fund investment appears to display 'disposition effect', which has been reported by studies of individual investors' stock investment behaviour suggests that the behavioral finance view should be a part of explanation for the Korean fund selection market. In addition, the strikingly different patterns between the 'affiliated' funds and the 'unaffiliated' funds, imply that brokers' incentive structure is another prevailing factor for fund investment flows.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.5
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• pp.175-189
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• 2020

Daejeon City has strived to support the SMEs to innovate technologies based on the capabilities of research and development of the Daedeok Innopolis. It is widely known that technological innovation is the key strategy of Small medium enterprises(SME) to survive and succeed in a market. This study aims to analyze the type and determinants of SME technological innovation in Daejeon. Even though most of firms are the small enterprises which employ less than 10 workers in Daejeon, the number of technology-oriented company per capita in Daejeon is highest in South Korea. The type of technological innovation is divided between product innovation and process innovation. The literature insists that technology-oriented small firm tends to implement product innovation rather than process innovation. SMEs in Daejeon also provided more output from product innovation than process innovation. The empirical analysis provided the results that the determinants of SME's technological innovation depends on its type. The scale of firm, R&D investment, and R&D employees positively influence product innovation of SMEs in Daejeon. However, the impact of R&D employees is not significant on innovating the existing product. Process innovation is positively affected by R&D investment and firm age. The study provides the policy implications to business supporting programs of Daejeon government. The business supporting policy of Daejeon government should focus on supporting each type of technological innovation to promote technological innovation by SME and consider strategies that focus on R&D investment and manpower support.

• Journal of Korea Port Economic Association
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• v.31 no.1
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• pp.127-145
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• 2015

Plant location selection is a decision which requires huge investment and entails a significant impact in a longer-term. The petrochemical industry, in particular, is so capital- and technology-intensive that the firms in the industry pursue enhancing competitiveness through collaboration and integration among entities in their supply chains. Even though the logistics factor such as logistics costs and connectivity have, as a result, gained its importance in plant location decision making, this has rarely studies in empirical studies. Therefore, this study aims to examine the relative importance of the logistics factor in plant location decision making in the petrochemical industry using the multi-criteria decision-making approach. In addition the three representative petrochemical industrial complexes are evaluated by the factors used in this study. This study is able to provide the useful implication in both practical and policy-making aspects. Firms are required to consider the logistics factors with priority compared to other factors in plant location decision making. In addition, when federal or local governments build industrial sites and attract the petrochemical firm, logistics infrastructure should also be considered to provide better transportation connectivity and lower logistics costs in turn.