• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.181-189
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• 2015

As a study on entrepreneurship and venture companies to support, this research is to find how to inflow the fund which is provided by private companies. This is to propose a shared platform for Information for connecting producers and consumers, corporate investors to help fund inflows to private companies and utilization of the enterprise information collected by government. Entrepreneurship support policies, as one of economy activation have a limit in the size of the support of the government therefore support continued growth through aggressive inflow of private funds is needed. It is significant to provide the environment that private funds could spill into the environment to provide for excellent start-up companies.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1189-1198
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• 2015

For the effects of the global financial crisis cause hedge funds to have a strong influence on financial markets, it is needed to study new approach method to predict hedge fund survival. This paper proposes to organize fuzzy neural network using hedge fund data as input to predict hedge fund survival. The variables of hedge fund data are ambiguous to analyze and have internal uncertainty and these characteristics make it challenging to predict their survival from the past records. The object of this study is to evaluate the predictability of fuzzy neural network which uses grades of membership to predict survival. The results of this study show that proposed system is effective to predict the hedge funds survival and can be a desirable solution which helps investors to support decision-making.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.1
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• pp.84-99
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• 2014

In this study, determinant input-output variables are identified for calculating Data Envelopment Analysis (DEA) efficiency scores relating to evaluating the efficiency of government-sponsored research and development (R&D) projects. In particular, this study proposes a systematic framework of design and analysis of experiments, called "all possible DEAs", for pinpointing DEA determinant input-output variables. In addition to correlation analyses, two modified measures of time series analysis are developed in order to check the similarities between a DEA complete data structure (CDS) versus the rest of incomplete data structures (IDSs). In this empirical analysis, a few DEA determinant input-output variables are found to be associated with a typical public R&D performance evaluation logic model, especially oriented to a mid- and long-term performance perspective. Among four variables, only two determinants are identified : "R&D manpower" ($x_2$) and "Sales revenue" ($y_1$). However, it should be pointed out that the input variable "R&D funds" ($x_1$) is insignificant for calculating DEA efficiency score even if it is a critical input for measuring efficiency of a government-sonsored R&D project from a practical point of view a priori. In this context, if practitioners' top priority is to see the efficiency between "R&D funds" ($x_1$) and "Sales revenue" ($y_1$), the DEA efficiency score cannot properly meet their expectations. Therefore, meticulous attention is required when using the DEA application for public R&D performance evaluation, considering that discrepancies can occur between practitioners' expectations and DEA efficiency scores.

• Land and Housing Review
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• v.4 no.3
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• pp.243-258
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• 2013

This study aims to introduce "Street-Housing" Redevelopment Projects adopted by the revision of regulations in 2012 and promote them by surveying residents' needs. The objectives of the street-housing redevelopment projects are to maintain existing street systems and redevelop housing by small units, as an alternative to the large-scale housing redevelopment by the expropriation. Residents, however, do not seem to support the new projects since they are satisfied with their current housing, have difficulty in raising funds, and are uncertain about proceeding with the pre-arranged. Despite these barriers, residents may support the projects if project charges can be lowered by the reduction in each resident's share and the increase in supporting funds. This study proposes new practical methods for realizing the projects: choice of an appropriate site, engaging for resident's participation in projects, reduction in project charges, and removal of barriers to co-operative development. etc.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.112-120
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• 2021

Korea and Japan share the same view of a single nation state, but there was a difference in the government's COVID-19 emergency relief fund for foreigners. To this end, I analyzed the comments of Korean and Japanese users in YouTube videos related to COVID-19 disaster support funds for foreigners. As a result of the study, As a result, there are many opinions that Korea and Japan are generally sensitive to foreigners' tax payments, and that immigrants can receive national benefits and support like indigenous people if they fulfill their obligations. Next, it can be seen that Korea and Japan recognize each other in common. The difference is that Japan is sensitive to the same nationality, whereas Korea is more focused on tax and money than nationality.

• Journal of the Korea Convergence Society
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• v.10 no.1
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• pp.7-12
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• 2019

The application of neural networks to stock forecasting has received a great deal of attention because no assumption about a suitable mathematical model has to be made prior to forecasting and they are capable of extracting useful information from data, which is required to describe nonlinear input-output relations of stock forecasting. The paper builds neural network models to forecast daily KOrea composite Stock Price Index (KOSPI), and their performance is demonstrated. MAPEs of NN1 model show 0.427 and 0.627 in its learning and test, respectively. Based on the predicted KOSPI price, the paper proposes an alpha trading for trades in Exchange Traded Funds (ETFs) that fluctuate with the KOSPI200. The alpha trading is tested with data from 125 trade days, and its trade return of 7.16 ~ 15.29 % suggests that the proposed alpha trading is effective.

• Knowledge Management Research
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• v.20 no.3
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• pp.173-193
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• 2019

Reward-based crowdfunding is a funding platform that allows funds to be raised to early operators who have lack of funds, and is seen as an outstanding infrastructure that is going to lead the fourth industrial revolution in that it is a field of realization of new technologies and creative ideas by start-ups. Reward-based crowdfunding has grown in line with the trend of the fourth industrial revolution, and funding success cases are taking place in various industries that culture/art to technology/IT, including as a new means of knowledge management in a rapidly changing industrial environment. The study focused on the fact that consumer's donation purposes may also vary depending on the category of projects classified as reward-based crowdfunding. Because consumer payment decisions and motivation of consumer purchasing behavior are classified according to the purpose of purchase, the previous papers that the goal gradient effect that the main motivation of consumer donation for reward-based crowdfunding introduced vary depending on project category of utilitarian and hedonic. In this study, consumer's daily donation data is collected by Indiegogo which is a leading reward-based crowdfunding company using web-crawling and the model was defined as propensity score matching (PSM) and random effect model. The results showed that the goal gradient effect occurred in utilitarian project category, but no goal gradient effect for the hedonic project category. Furthermore, this paper developed the study of motivation of consumer donation and contributes theoretical foundation by the results consumer donation may vary depending on the project category; also, this paper has implications for an effective marketing strategy depending on the project category leaves real meaning to the projector.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.212-220
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• 2019

This study evaluates the extent to which the government's financial support policy, the Audio-visual investment fund, contributed to raising capital for Korean films. Audio-visual investment fund in the Korean film industry, which has been formed through the public sector support since 1999. The Audio-visual investment fund is a leading financial support policy for the Korean film industry, and began with the investment of the Small and Medium Business Administration and the Korean Film Council. It has become an important source of Korean film production costs and has spread to other cultural industry sectors, as a way of capital procurement for a start-up companies and cultural projects. This study reconstruct the data of the organizations such as the size of a new investment fund by public sector, the ratio of public capital contribution, the amount and number of investment in Korean films, investment multiplier compared to equity investment, and the internal return rate(IRR) of liquidation funds in the Korean film capital market from 1999 to 2017. The purpose of this project was to provide the basis for assessing the achievements of the Audio-visual investment fund policy in contributing to the growth of the film industry.

• Journal of Industrial Convergence
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• v.15 no.2
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• pp.45-56
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• 2017

The purpose of this study is to analyze the influence of the number of investors influencing the achievement rate of domestic securities type crowdfunding, to find out why the general investors need to participate and to suggest measures to increase the participation of general investors. The results of this study are as follows. First, the effect of the recruitment amount, the target amount, the recruitment period and the business training is confirmed as factors affecting the achievement rate of domestic securities type crowdfunding. And it was confirmed that the influence factors on achievement rate could have a greater effect as the number of general investors increased. Therefore, the government should make more effort to relax regulations on general investors, and the investor of capital should strengthen the public disclosure of KSM through the KSM market in order to recover the funds of general investors, Crowd funding will be able to attract enough funds.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.85-90
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• 2021

This research focused on four areas of government-sponsored start-up support projects: facility support, funding, education support, and mentoring support, and examined the effects of business performance and the mediating effects of business start-up satisfaction. As a result of the analysis, it was verified that the facilities, education, funds and mentoring support of the start-up support project had a positive effect on the business performance of the founders, and the partial mediating role of the start-up satisfaction was also verified in the relationship between the start-up support project and the business performance. Based on these results, it was confirmed that support programs such as facilities, education, funds, and mentoring in government-sponsored start-up support projects are suitable factors to improve the business performance of founders. Finally, the implications of this study were presented and the limitations of the study and future research directions were discussed.