• Journal of Digital Convergence
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• v.19 no.5
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• pp.353-363
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• 2021

This study analyzed to provide information for business improvement by analyzing the management efficiency of start-up investment companies so that startup investment companies can operate efficiently and by presenting information on inefficient factors. From 2014 to 2018, 83 start-up investment companies were analyzed using the DEA model. Input variables were he number of employees, capital, and output variables were selected for start-up investment assets, operating income, and net profit. As a result of the analysis, technical efficiency and pure technical efficiency showed a pattern with an increase in average, but scale efficiency repeatedly increased and decreased. It is believed that the decline in technology efficiency was due to the decrease in pure technology efficiency, and the inefficiency of start-up investment companies seems to have influenced the inefficiency of start-up investment companies rather than the inefficiency of scale. In addition, the size revenue shows that the DRS value is gradually decreasing, and the IRS value is generally increasing. It is believed that efficiency can be improved if operational inefficiency is improved based on the results and efficiency measures are established through scale expansion.

• Information Systems Review
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• v.21 no.1
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• pp.135-152
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• 2019

Recently there are many development and support policies for start-up companies because of successful venture companies related to ICT services. However, as these policies have focused on the support for the initial stage of start-up, many start-up companies have difficulties to continuously grow up. The main reason for these difficulties is that they recognize start-up tasks as independent activities. However, many experts or related articles say that start-up tasks are composed of related processes from the initial stage to the stable stage of start-up firms. In this study, we models the start-up processes based on the survey collected by the start-up companies, and analyze the start-up process of ICT service companies with process mining techniques. Through process mining analysis, we can draw a sequential flow of tasks for start-ups and the characteristics of them. The analysis of start-up businessman, idea derivation, creating business model, business diversification processes are resulted as important processes, but marketing activity and managing investment funds are not. This result means that marketing activity and managing investment funds are activities that need ongoing attention. Moreover, we can find temporal and complementary tasks which could not be captured by independent individual-level activity analysis. Our process analysis results are expected to be used in simulation-based web-intelligent system to support start-up business, and more cumulated start-up business cases will be helpful to give more detailed individual-level personalization service. And our proposed process model and analyzing results can be used to solve many difficulties for start-up companies.

• East Asian Journal of Business Economics (EAJBE)
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• v.3 no.2
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• pp.21-25
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• 2015

Investment process on startup companies faces several difficulties based on the characteristics of this type of companies, such as lack of historical data, current operating losses and absence of comparable companies. In this paper we focus in a new methodology based on ordered weighted averaging (OWA) operators. OWA operators are useful instruments that enable the aggregation of information; in other words, from a data set we are able to obtain a single representative value of that set. The investment methodology presented consists on the application of OWA operators to the targeted startup companies based on the capacity of cash-flow generation and also on the planned scenario of future growth for each company. This paper shows that the methodology proposed can serve as a valuable tool, complementing the qualitative criteria (which, obviously, should not be ignored) for assessing and selecting a start-up investment.

• Asian Journal of Innovation and Policy
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• v.7 no.1
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• pp.9-29
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• 2018

Japan's manufacturing is mostly dependent on the automotive industry in Toyota-Kariya cities. However, the nearby city of Hamamatsu is the home of a start-up ecosystem known as Japan's Silicon Valley. How is it possible to evaluate the innovative potential of each regional industry? What kind of guidelines exist for continuing R&D investment when companies' net incomes are negative in the face of the 'Valley-of-Death' or financial crisis? Is it possible to measure the regional resilience ability in the context of the financial crisis? Entrepreneurial innovation is defined as a real-option portfolio consisting of investment decision to commercialize R&D findings. The subcontractor system implies a vertical and tight industrial group. However, a start-up ecosystem means a platform for horizontal and flexible partnership. In this research, the data include the financial indices of each of 18 public companies in both regions between FY2009 and FY2017. The objective of this paper is to clarify the call option or resilience function of equity for R&D investment in the context of the financial crisis in both regions by using Bayesian MCMC analysis.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.570-579
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• 2021

Compared to men, women experience difficulties in fund-raising, which can be a fundamental impediment to the success of women entrepreneurs. In this study, we examine whether is a difference between genders in the initial funding performance of start-up companies and confirm whether there are differences in organizational factors and entrepreneur factors that affect the initial funding performance. Data were collected through a survey of technology-based start-up companies located in the metropolitan area, and 287 companies were used for hypothesis analysis. The results reveal that there was a significant difference between genders in the investment attraction performance of early-stage entrepreneurs. In addition, as a result of the split-group regression analysis, it was found that in the case of men, firm age, early firm size, starting capital, engineering major had a significant effect on men. However, in the case of the women's group, it was confirmed that all the variables related to the organizational factors and entrepreneur factors were not significant. This study indirectly suggests that prejudices such as gender role stereotypes actually affect economic activities related to investment attraction activities.

• Korean small business review
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• v.40 no.3
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• pp.1-24
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• 2018

The purpose of this study is verifying with corporate financial data that the required investment amount flow shows a similar pattern as times passed, in new product development by start-up company. In the previous paper, the same authors proposed the required investment amount flow as a 'New Product Investment Curve (NPIC)'. In this study, we have studied further in various types of companies. The samples used are accounting data of 462 companies selected from 5,873 Korean companies which were finished external audit in 2015. The results of this study are as follows; The average investment period was 3 years for the listed companies, while 6 years for the unlisted companies. The investment payback period was 6 years for listed companies, while 17 years for unlisted companies. The investment payback period of the company supported by big affiliate company (We call 'greenhouse company') was 14~15 years, while 17 years for real venture companies. When we divide all companies into 4 groups in terms of R&D cost and variable cost ratio, NPIC explanatory power of 'high R&D and high variable cost ratio group (Automobile Assembly Business) is best. Among the eight investment cost indexes proposed to estimate the investment amount, the 'cash 1' (operating cash flow+fixed asset excluding land & building+intangible asset, deferred asset change)/year-end total assets) turned out to be the most effective index to estimate the investment flow patterns. The conclusion is that NPIC explanatory power is somewhat reduced when we estimate all companies together. However, if we estimate the sample companies by characteristics such as listed, unlisted, greenhouse, and venture company, the proposed NPIC was verified to be effective by showing the required investment amount pattern.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.15 no.2
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• pp.104-110
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• 2016

The process of three-dimensional (3D) printing (also known as "rapid prototyping" and "additive manufacturing") uses computer-created digital models to produce 3D objects with a desired shape by stacking materials through a layer-by-layer process. The industrial potential and feasibility of 3D printing technology were recently highlighted in President Obama's State of the Union address in 2013. Since his speech, worldwide investment in and attention toward 3D printing technology have increased explosively. In addition, a number of 3D printing technology-based start-up companies have been established and evaluated as emerging enterprises making successful business models. In this paper, successful start-up companies (domestic and overseas) based on 3D printing technology will be reviewed.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.584-593
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• 2018

The startup, which is a common noun to start a small business, has been recently one of main targets for policymakers due to its important role for job creation and considerable potential for sustainability of an economy. However, technological entrepreneurship decreased by 5.0% p from 2013 to 2016. The revitalization of entrepreneurial investment promoted by the government is mainly supported in fruitable venture companies at grow stage or 2~3 years before IPO through venture capital firms and angel funds. It is far from an investment at start-up. It is therefore necessary to motivate private investment to be active in the private start-up sector. In addition, the start-up investment requires institutional support and government support to meet the expectations of investors about the possibility of payback and profitability of private investment invested in the founding period. As a small entrepreneur at a comparably early stage in the lifecycle of business, investments for the startup are generally made by informal investors such as family, friends and fools, and their decision making processes are relatively non-programmed compared with ones for listed corporales such as venture capital and angel fund agency. This study focuses on analyzing decision making factors in investment, and verifying an impact of such factors, specifically the possibility of investment payback and investment profitability, in a decision-making process for the startup especially at the very early stage.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.1
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• pp.1-19
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• 2021

The purpose of this research is to improve the investment success rate for startups in the water industry for the development of the entrepreneurial environment of the Korean water industry. In this research, we identified investment determinants through prior research and stratified them, and then surveyed the investor group at the beginning of the start-up using the FGI method, and determined the order of the investment determinants of investors. At the same time, we classified 41 start-ups related to the water industry into two groups: the group that received investment and the group that did not in the early stages of the start-up. Then we investigated the understanding of the investor's investment determinants, ranked them, and compared them by using the AHP technique. Through this, this research proposes five implications. First, it is important for start-ups in the early stages to receive seed investment to revitalize investment for startups in the water industry. For this, startups need to understand investors and prepare to attract investment with the perspective of angel investors rather than the perspective of VC investors. Second, Start-ups in the water sector should consider that the characteristics of the founder are important in order to receive seed investment, and also need to define their business at the industry and market level, and provide relevant rationale to meet the expectations of investors who value industry expertise and experience, and to increase the possibility of seed investment, which is important in the early stages of a startup. Third, institutions, such as K-water(Korea Water Resources Corporation), that support water industry startups need to conduct open innovation business opportunities discovery programs linked to startups so that startups currently participating in the startup support program could have business opportunities from the business infrastructure of platform-forming companies in the water industry. In particular, such institutions should help founders develop their industrial expertise and careers by supporting this type of start-up preparation process through the participation of in-house venture founders. Fourth, when K-water uses the government start-up support fund to discover and foster founders, it should increase initial contact with seed investors, conduct more thorough verification of business plans, and develop programs that use government start-up support funds to prepare a business suitable for seed angel investors. Fifth, K-water should support seed by connecting funds for initial investment among funds operated by itself. It is also necessary to develop a program that links the company receiving the seed investment with VC investment, not angel investment in cooperation with the VC fund operation entity participating as an LP so that companies that have attracted seed investment could attract follow-up VC investment.

• Asia-Pacific Journal of Business
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• v.10 no.3
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• pp.113-124
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• 2019

With the decline in the college student population and the increase in the youth unemployment rate, the university began to be interested in starting a business. Under the initiative of the government, the start-up support project was reflected in the university's educational programs, which led to the university students receiving various start-up support benefits. In response to the expansion of entrepreneurship education, various entrepreneurship education programs and support programs were applied in line with the government's efforts to start college students. As a result, students' entrepreneurial competence and willingness to start up increased. College student entrepreneurs and entrepreneurs are increasing. The increase of university student start-up companies is taking place in the entrepreneurial education environment within the university, and the support of university, community, and start-up support institutions for university student start-up, the starting point of the start-up ecosystem, is paying off. It can be seen that the youth entrepreneurship ecosystem based on university entrepreneurship education is in place. The university supports the entire business process from idea development, such as start-up classes, start-up club support, patent application support, prototype development support, and investment linkage. However, there is a university that develops and operates a unique program for each school and a university that does not. Therefore, it is necessary to develop an education program that can produce efficient results. The purpose of this study is to support the start-up program of the university to be the consumer-centered start-up support.