• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.321-324
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• 2000

최근 국내 경제의 구조적 전환에 대한 필요성이 증대됨에 따라 기술집약적인 산업에 관심이 모아지고 있으며 이러한 관심은 주로 기술개발과 혁신을 통해 고수익을 달성하려는 벤처기업에 집중되어져 왔다. 특히 인터넷 비즈니스분야의 벤처인 경우 기존 산업이 지니고 있던 산업구조, 기업유형 및 수익원천과는 구별되는 특징을 지니고 있기에 기업의 성장성과 수익성을 예측하고 미래가치를 판단하는데 있어 새로운 투자평가 패러다임이 요구된다. 국내의 경우 최근 들어 벤처성과와 관련된 연구들이 진행되고는 있으나 주로 사례연구 방식으로 벤처기업을 대상으로 한 주요성공요인, 성과 영향요인, 자금조달 및 육성지원정책 등 탐색적 연구에서 벗어나지 못하고 있으며 실제 벤처투자자의 입장에서의 연구는 이루어지지 못하고 있다. 따라서 본 연구는 벤처투자가를 대상으로 투자고려요인과 성과요인을 추출하고 두 요인간의 관련성을 파악함으로써 투자성과에 영향을 미치는 요인을 제시하고 이를 투자자유형, 성장단계, 투자시기, 사업유형, 벤처전략별로 분석하는 것을 목표로 하고 있다. 이를 통해 인터넷 비즈니스분야의 벤처기업에게는 각 기업별 특성에 따른 관리 요인과 벤처투자가에게는 투자의사 결정시 도움을 줄 수 있는 투자지침을 제시한다.

• Journal of the Korea Institute of Building Construction
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• v.11 no.1
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• pp.19-27
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• 2011

The capital of investment of SOC projects is too large to be taken charge of a country. The government introduces the private investment like a BTL project because of the limited national resources. However, even the company which wants order constructions, do not consider the fundamentals such as accurate estimation, capability of construction company and construction period. The purpose of the research is to suggest the basic influential factors for obtaining a BTL project and offers the concludes for the successful operation after the contract. The result of the research is followed. 54 effect successful factors are compressed into 11 principle factors by analysis on those 54 factors, CSFs of BTL business are constructed. Regression analysis is induced by variable of primary success factors and success degree, and derives the influence degree of effect successful factors in business. Regression analysis that is mentioned above showed considerable issues from importance of primary factors, prime cost fluctuation factors and comparison of management-level. So this study could suggest the effective operate plan of BTL business.

• The Journal of the Korea Contents Association
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• v.7 no.5
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• pp.174-183
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• 2007

Recently, the Korean Hotel market has expanded to Asia rapidly including China. However Korean hotels' competitiveness has weaken with Korean won's appreciation and increasing real estate cost. To cope with these problems, Korean hotels are varying and differentiating their services and adopting advanced information system such as ERP(Enterprise Resource Planning) System. ERP Systems requires large amount of cost and time, otherwise successful implementation is not guaranteed. Thus, It is necessary to analyze critical success factors and calculate effect before investment on the ERP system implementation. In this study, I surveyed a Five-star ranked Hotel, named R. To find a method of investment effect calculation. This research is conducted on the basis of previous studies and AHP(analytic hierarchical process), which is suggested by Saaty. Finally, This study presents a significant method of analysis and calculation on investment effect of Hotel's ERP system based on the Hotel R's case.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.12 s.159
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• pp.1768-1777
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• 2006

As the fashion industry comes under the influence of globalization throughout all fields of industry, the globalization and the market entry strategies are required for Korean fashion firms. This study attempted to analyze the factors influencing foreign entry mode of Korean fashion business based on Eclectic Theory. Data collection has been carried out from November 25 until December 25, 2005. The questionnaires were sent through e-mail or fax to 622 trading companies. 67 questionnaires were returned for a response rate of 10.7%. Of these returns, 61 usable questionnaires were employed for data analyses. Descriptive analysis, factor analysis, discriminant analysis, and t-test were used for data analysis. First, the most important venture motivation was price competitiveness and many firms were engaged in both production and sales in their target countries, which were mainly in Southeast Asia. Second, the firm's ability and experience were found out as ownership advantage factor, investment stability and market potential as location advantage factor, and contract stability as internalization advantage factor. Third, the result of discriminant analysis showed that location advantage factor was a significant factor in predicting the entry of fashion firms into foreign countries.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.1-11
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• 2024

In the midst of the current turbulent global economy, traditional investment metrics are undergoing a metamorphosis, signaling the onset of what's often referred to as an "Investment cold season". Early-stage startups, despite their boundless potential, grapple with immediate revenue constraints, intensifying their pursuit of critical investments. While financial indicators once took center stage in investment evaluations, a notable paradigm shift is underway. Organizational culture, once relegated to the sidelines, has now emerged as a linchpin in forecasting a startup's resilience and enduring trajectory. Our comprehensive research, integrating insights from CVF and OCAI, unveils the intricate relationship between organizational culture and its magnetic appeal to investors. The results indicate that startups with a pronounced external focus, expertly balanced with flexibility and stability, hold particular allure for investment consideration. Furthermore, the study underscores the pivotal role of adhocracy and market-driven mindsets in shaping investment desirability. A significant observation emerges from the study: startups, whether they secured investment or failed to do so, consistently display strong clan culture, highlighting the widespread importance of nurturing a positive employee environment. Leadership deeply anchored in market culture, combined with an unwavering commitment to innovation and harmonious organizational practices, emerges as a potent recipe for attracting investor attention. Our model, with an impressive 88.3% predictive accuracy, serves as a guiding light for startups and astute investors, illuminating the intricate interplay of culture and investment success in today's economic landscape.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.1-14
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• 2021

Recently, crowdfunding platforms have received attention as one of the content investment platforms for the public. This research attempts to explore the influencing factors on the success of movie euqity crowdfunding project. We use 'number of texts', 'number of images', 'star influence power', 'IP-based movie project', 'movie production stage', 'box office prediction', 'investment capital ratio', 'amount of surplus available investment', 'profit calculation method' and 'minimum investment amount' as independent variables. And we examined how these factors affects the achievement rate of movie crowdfunding. As a result of multiple regression analysis, 'movie production stage', 'investment capital ratio', 'amount of surplus available investment' and 'profit calculation method' have a significant effect on the crowdfunding achievement rate. In addition, the results of this research can be used for reference when planning film crowdfunding projects.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.139-148
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• 1999

오늘날 기술집약적인 벤처기업들에 대한 관심이 집중되고 있다. 소수의 진취적인 벤처기업들이 기술개발 및 신상품 개발 등 두드러진 활약을 보이고 있기 때문이다. 그러나 실제 이 벤처기업의 성공 가능성은 그렇게 높지 않다. 특히 벤처기업 환경이 아직 미약한 국내의 경우 위험부담이 훨씬 더 크다. 이러한 벤처기업 환경에서 투자대상 벤처기업을 선정하는 것은 매우 전략적인 의사결정이다. 일반적으로 일반 벤처투자가들은 관심이 있는 산업에 해당하는 기업의 사업계획서와 기초적인 관련 정보를 토대로 투자여부를 결정한다. 그렇지만 실제로는 이와 같은 분석에 필수적으로 요구되는 정보가 불확실할 뿐만 아니라 기술분야에 대한 전문적 지식도 부족하기 때문에 투자 여부를 결정하는 것은 매우 복잡하고 어려운 문제이다. 그러므로 투자대상 벤처기업의 선정을 효과적으로 지원해주는 체계적인 접근이 필요하다. 특히 벤처 사업과 관련된 기술 동향 및 수준 등에 관련된 전문 지식과 경험이 체계적으로 제공되어야 하고 또한 벤처 투자가의 개인적 경험과 판단이 평가 프로세스에 직접적으로 반영될 수 있어야 한다. 이에 본 연구에서는 전문가의 지식과 경험을 체계화하고 투자가의 개인적 판단을 효과적으로 수용할 수 있는 전문가시스템의 접근방법을 제시하고자 한다. 투자대상 벤처기업의 선정을 위한 전문가시스템을 구축하기 위해 본 연구에서는 다양한 정보수집 과정을 거쳤다. 우선 벤처 투자와 관련된 기존 문헌을 심층 분석하였으며 아울러 벤처 투자 업계에서 활약중인 전문 벤처캐피탈리스트들과의 수차례 인터뷰를 통해 벤처기업 평가의 주요 요인과 의사결정 과정을 파악할 수 있었다. 이러한 과정을 통하여 본 연구에서는 벤처 투자의 90%를 차지하는 정보통신분야에 속한 기법 중에서 투자대상 벤처기업의 선정을 위한 전문가시스템을 구축중이다.의 밀도를 비재무적 지표변수로 산정하여 로지스틱회귀 분석과 인공신경망 기법으로 검증하였다. 로지스틱회귀분석 결과에서는 재무적 지표변수 모형의 전체적 예측적중률이 87.50%인 반면에 재무/비재무적 지표모형은 90.18%로서 비재무적 지표변수 사용에 대한 개선의 효과가 나타났다. 표본기업들을 훈련과 시험용으로 구분하여 분석한 결과는 전체적으로 재무/비재무적 지표를 고려한 인공신경망기법의 예측적중률이 높은 것으로 나타났다. 즉, 로지스틱회귀 분석의 재무적 지표모형은 훈련, 시험용이 84.45%, 85.10%인 반면, 재무/비재무적 지표모형은 84.45%, 85.08%로서 거의 동일한 예측적중률을 가졌으나 인공신경망기법 분석에서는 재무적 지표모형이 92.23%, 85.10%인 반면, 재무/비재무적 지표모형에서는 91.12%, 88.06%로서 향상된 예측적중률을 나타내었다.ting LMS according to increasing the step-size parameter $\mu$ in the experimentally computed. learning curve. Also we find that convergence speed of proposed algorithm is increased by (B+1) time proportional to B which B is the number of recycled data buffer without complexity of computation. Adaptive transversal filter with proposed data recycling buffer algorithm could efficiently reject ISI of channel and in

• Journal of Distribution Science
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• v.7 no.2
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• pp.5-28
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• 2009

As a result of this study only a few Korean firms have a certain management methods designed to predict the possibility of risk occurrence and establishment of systematic countermeasure. Besides, the Korean firms do not have enough data on the risk of Chinese Market. The risk management department inside the firm does not function efficiently, and when it comes to investigation of risk, it heavily depends on that of local branches. Accordingly, in order to accurately recognize and manage, the firms need to not only specialize risk management department but also outsource by using a consulting firm.

• Korean Journal of Construction Engineering and Management
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• v.24 no.2
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• pp.98-110
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• 2023

The smart city public and private partnership project is a project to build and operate a sustainable city by investing land and capital in public-private partnership to build urban infrastructure and providing various urban services. It highly depends on the precise feasibility study and the projection of the various factors affecting the project during the planning stage to get the project successful. However, it is very difficult to predict the possibility of the project success in advance due to various physical and social factors. It is necessary to derive factors affecting the project at the planning stage and respond with appropriate analysis in order to solve these problems and to carry out a successful project. Therefore, this study derived preliminary components for feasibility study through previous studies and order status analysis and presented feasibility study components such as five-step processes, 10 process items, 19 analysis items, and 54 detailed analysis items through the Delphi method. It can be expected that this research is to contribute corresponding to diversified possible risks and facilitate the projects during the promotion.

• Korean Journal of Construction Engineering and Management
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• v.17 no.2
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• pp.70-79
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• 2016

The current remodeling cost estimation process is not only dependent on the historical data of new building construction, but it also has a poor linkage with risk-based estimation approach. As such, there is a high risk of falling short of initial budget. To overcome this, a risk-based estimation approach is necessary by providing a probabilistic estimation in consideration of the potential risk factors in conducting the remodeling projects. In addition, the decision-making process should be linked with the risk-based estimation results in stead of intuitive and/or experience-based estimation. This study provides a probabilistic estimation process for residential remodeling projects by developing a detailed methodology in which a step-by-step approach can be achieved. The new proposed estimation approach can help in decision-making for remodeling projects in terms of whether to proceed or not, by effectively reflecting the potential risk factors in the early stage of the project. In addition, the study can enhance the reliability of the estimation results by developing a sustainable estimation process model where a risk-based evaluation can be accomplished by setting up the cost-risk relationship database structure.