• The Journal of Small Business Innovation
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• v.20 no.3
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• pp.49-68
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• 2017

Platform finance is emerging as an alternative finance for SMEs by suggesting a new funding source based on a new technology named FinTech. The essence of this business is the adapting ICT challenges to the financial industry that can adequately reflect risk assessment using Big Data and effectively meet individual risk-return preference. Thus, this is evolving as an alternative to existing finance in the form of P2P loans for Micro Enterprises and supply-chain finance for SMEs that need more working capital. Platform finance in Korea, however, is still at an infant stage and requires policy support. This can be summarized as follows: "Participation of institutional investors and the public sector," meaning that public investors provide seed money for the private investors to crowd in for platform finance. "Negative system in financial regulations," with current regulations to be deferred for new projects, such as Sandbox in the UK. In addition, "Environment for generous use of data," allowing discretionary data sharing for new products," and "Spreading alternative investments," fostering platform finance products as alternative investments in the low interest-rate era.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.5
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• pp.13-35
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• 2020

Startup accelerators are a new type of investors providing a certain amount of shares for imparting education, mentoring, networking, and providing space and seed money that can directly resolve the difficulties faced by nascent entrepreneurs (Clarysse, 2016). Startup accelerators have expanded worldwide as their influence over the startup ecosystem has increasingly been established (Pauwels et al., 2016; Cohen & Hochberg, 2014). This study was conducted to derive investment determinants of startup accelerators that are emerging as major investment players around the world. To this end, the accelerator-type determinants of investment were derived. As previous research on this topic is nonexistent, this process involved qualitative meta-synthesis, literature reviews, observation, and in-depth interviews. First, more than 30 research papers were examined for the determinants of investment for firms at an early stage of their foundation, and the categories and determinants of investment in the relevant studies were comparatively analyzed using qualitative meta-synthesis. Further, related data were investigated to identify the characteristics of accelerators, and the startup evaluation process of US accelerators was studied. The more than 100 questions raised during this process were coded to examine the determinants of investment that accelerators considered important. In-depth interviews were conducted with four US accelerators to identify the characteristics of accelerators and key determinants of investment. Ultimately, 5 categories of accelerator-type determinants of investment and 26 subordinate determinants of investment were derived. The results were verified and supplemented by consulting with seven accelerators in Korea. The results were confirmed after pilot tests and verification by seven domestic accelerators. After confirming the accelerator-type determinants, the reliability of them was verified by examining the importance and priority of each category through the quantitative survey of Korean accelerators. The research that elicited the accelerator-type investment determinants is the first research and is expected to be a major reference to the progress of subsequent studies. This research that systematically derived the investment determinants of the accelerator is expected to make major contributions to the progress of follow-up studies, the process of selecting startups, and the investment decision-making process of the accelerators.

• International Area Studies Review
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• v.20 no.1
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• pp.127-146
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• 2016

This paper investigates that the Granger-causality between ODA FDI Trade, and economic growth in Senegal over the last 50 years and ODA, FDI, Trade have a impact on the Senegal's economic growth using the Vector Error Correction Model. The empirical results do confirm a directional causality between the variables considered. It also showed that an increase of ODA in the Senegal has positive effect on GDP growth and FDI, which are important factors of economic growth for poor country like Senegal. Underdeveloped nation has been suffered from insufficient savings or capital for economic growth; therefore, developed nations have to provide enough ODA to supply initial capital formation for growth, so-called, seed money. In a nutshell, ODA as a priming the pump is required and expanded continuously for Africa country's economic growth.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.127-135
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• 2020

The purpose of this paper is to classify individual startups by growth stage based on data-based quantitative criteria. This is to provide a basis for systematic support for government startups based on accurate statistics on the startup growth process. This startups were the TIPS (Tech Incubator Program for Startup) support company, which used a relatively reliable startup. We found seed money to complete MVP (Minimum Viable Product) within 1.5 years after establishment, verified PMF (Product-Market Fit) within 1 year, attracted Series A investment within 2.5 years after establishment, and successfully commercialized it. It attracted Series B investment for stable growth within 1.5 years (Series B investment within 4 years from start-up). The results of the study, the division of government programs that support stage-based startup commercialization, that is, within three years and within seven years of establishment, is significant to date. Three directions are suggested for future research. First, develop indicators for monitoring startup growth stages. Second, it continuously updates the annual changes and tracks the growth stages of individual startups. Third, we discover the successful growth law of technology-based startups by applying in-depth case analysis of successful startups to the model.

• Korean small business review
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• v.43 no.1
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• pp.187-219
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• 2021

Startup accelerators, a new type of investment entity, have emerged as a way to solve the difficulties of early startups and existing investment methods with high risk. With the visible performances of these startup accelerators on the success of startups, medium and large accelerator companies have emerged, along with the increasing size of seed money they invest in. In addition, differences between small and medium&large accelerator companies are emerging. Therefore, startups need informations on what factors to prepare for attracting startup accelerators' investment. Accelerators also need determinant criteria to select startups as the amount of investment grows. However, the study on this subject is not currently being conducted. Therefore, we conducted the study through dividing the average amount of seed money into small and medium & large-sized investment groups and examined the differences in major investment determinants, investment purposes, and major accelerating programs. As the results of this study, small investment groups could be subdivided into 'consulting-oriented accelerators' and medium- and large-sized investment groups into 'investment-oriented accelerators'. In addition, major services and investment purposes and investment decision criteria vary depending on the size of the investment. I think these findings will be good standards for accelerator companies, startups in need of their help, and follow-up researchers.

• Smart Media Journal
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• v.12 no.9
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• pp.28-37
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• 2023

The main factor affecting the decline in rice yield is damage caused by localized heavy rains or typhoons. The method of analyzing the rice lodging area is difficult to obtain objective results based on visual inspection and judgment based on field surveys visiting the affected area. it requires a lot of time and money. In this paper, we propose the method of estimation and diagnosis for rice lodging areas using a Vision Transformer-based Segformer for RGB images, which are captured by unmanned aerial vehicles. The proposed method estimates the lodging, normal, and background area using the Segformer model, and the lodging rate is diagnosed through the rice field inspection criteria in the seed industry Act. The diagnosis result can be used to find the distribution of the rice lodging areas, to show the trend of lodging, and to use the quality management of certified seed in government. The proposed method of rice lodging area estimation shows 98.33% of mean accuracy and 96.79% of mIoU.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.3 no.3
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• pp.203-209
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• 2002

The Korean venture industry showed a rapid growth due to various government incentive measures, development in information technology, and explosive growth of the KOSDAQ market. Recently, however, the Korean venture industry has revealed numerous side effects, which seemed to be coming from excessively aggressive government involvement in the industry, and fallen into a deep depression. This phenomenon may imply that the Korean venture industry has been established by the government policy rather than based on the venture capital market, whereas the venture industry in advanced nations has grown up autogenously based on it. This paper analyzes the Korean venture capital market and suggests policy recommendations to revitalize the domestic venture capital market. They include facilitating the supply of funds through limited partnerships and overseas venture capital, extending the direct equity investment, and actively promoting the KOSDAQ market.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2007.04a
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• pp.13-17
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• 2007

The green roof industry have been developed with Europe, North America, Japan. At the same time, being recognized the important of green roofs in domestic industry and we just start to develop the relative technology as analyzing the future direction of advanced technology. Recently, local self-government including Seoul support the system for green roof which provide 50% of working expenses form of Matching Fund by Seed Money. As years go by, the number of build up the green roof has gradually increased to be proved. At this result caused by management of system in government, unstructured construction system, low development of support technology. In this study as analyzing the present of technical development, supporting by law and system for the advanced waterproofing and root penetration resistance technology, we suggest the development direction of it to be compared with application advanced technology and we could strengthen the international competitiveness to be industrialized the green roof considering system, technology, human infrastructure.

• Asian-Australasian Journal of Animal Sciences
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• v.16 no.10
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• pp.1469-1474
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• 2003

Twenty four weaner lambs, eight each of Marwari, Patanwadi and Merino${\times}$Patanwadi breeds (9.9 to 10.8 kg) were randomly divided into two dietary treatments on body weight basis Viz. $T_1$-conventional (Maize-38%, GN Cake-25%, Rice Polish-24%, Jaggery solution-10%, Mineral mixture-3%) and $T_2$-supplemented non conventional group (GN Cake-25%, Rice Polish-14%, Mango seed kernel-25%, Babul Pods chuni-23%, Jaggery solution-10%, Mineral mixture-3%). The Jaggery solution was prepared by mixing 6.5 kg Jaggery and 3.5 kg water. The average final body weight at the end of the experiment was recorded to be $19.33{\pm}0.76$ and $19.72{\pm}0.8kg$ in conventional and non-conventional groups, respectively. The total dry matter intake (DMI) during the entire experiment period was recorded to be $89.56{\pm}5.19$ and $95.08{\pm}1.06$ (kg/head) and $532.83{\pm}9.94$ and $566.75{\pm}10.49g/d$ in conventional and nonconventional groups, respectively. The body weight gain and body measurements did not influenced by diet. The ration effect was found to be significant when the DMI was expressed in terms of g/d. The crude protein (CP) and digestible crude protein (DCP) intake/head and per kg gain observed during experiment under conventional and non-conventional treatment group did not differ from each other. However, the total digestible nutrients (TDN) intake per kg gain was significantly (p<0.05) higher in supplemented non-conventional group. The intake values of DCP and TDN were more or less in agreement with Indian Council Agricultural Research (1985) recommendations. The estimated total feed cost (Rs./animal) for experimental lambs was $274.16{\pm}8.57$ and $242.67{\pm}5.10$ in conventional and non- group, respectively. The non-conventional group had significantly (p<0.05) lower feed cost (11.6%). The return as percent of feed cost and feed cost/kg dressed weight were $92.89{\pm}5.58$ (%) and Rs. $35.40{\pm}1.11$ and $122.61{\pm}5.06$ (%) and Rs.$30.47{\pm}1.71$ in conventional and non-conventional group (p<0.05), respectively which is the reflection of significantly lower total feed cost incurred during feeding in non-conventional group. Lambs fed non-conventional based diet had similar live weights as those fed conventional diets but costed less money to achieve those weights.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.1
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• pp.31-44
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• 2020

Accelerators that invest in early startups, as well as nursery and overall management, have recently emerged as "key players" in the startup ecosystem. This can be proved by the case where the number of domestic accelerators registered in the Korean Ministry of SMEs and Startups has recently reached 208. Accelerators provide the necessary education for early-stage companies, including guidance for a certain period of time, and support startups in ways such as demo days to attract subsequent investment after the seed investment. There is not much research in academia about what factors impact on these accelerators when making investment decisions at the time of seed investment. In this study, we checked the meaning and function of the accelerator and tried to analyze what factors affect on accelerators when making a decision to invest in startups. The research method is based on a literature survey of previous studies on investment decision-making factors of venture capital and angel investors, and a lens model and judgment analysis method through empirical research targeting 43 accelerator investment decision-makers. Empirical analysis shows that accelerators have three of the key factors to consider when choosing the first startup to invest and educate; entrepreneurs' entrepreneurial traits, their product and service expertise and a potential return on success. This will provide an opportunity for early startups to gain strategic access to accelerators when they need money or need a structured educational program. Also, the results obtained through this research will be a kind of guideline for startups to attract accelerators' investment. The significance of this study is that discriminatory evidence was presented on the accelerator determinants of investment, and it would be highly suggestive to startups and related public institutions.