• Title/Summary/Keyword: K-스타트업

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A Study on the Influence of Nascent Entrepreneurs Motivation and Preparation on the Business Continuity: Based on the Mediation Effect of Start-up Satisfaction (초기창업자의 창업동기와 창업준비가 사업계속의도에 미치는 영향에 관한 연구: 창업만족도의 매개효과를 중심으로)

  • Han, Hyang Won;Ha, Kyu Soo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.15 no.5
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    • pp.77-98
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    • 2020
  • Recently, the government provided about 35 trillion won to start-ups through a large amount of start-up support funds from the Korea Credit Guarantee Fund and the Korea Development Bank, and more than 100 trillion won to start-ups over the past three years.(2015-2018) The Ministry of SMEs and Startups announced that a total of 1.4517 trillion won will be supported by 16 ministries (90 projects) after surveying start-up support projects by ministries in 2020 to create a start-up country. Indeed, among the budgets supported by the Ministry of SMEs and Startups, startups accounted for 85%, while scale-ups (growth and maturity) were only 15%. However, the survival rate of Korean start-ups was far lower than that of developed countries. The survival rate for the three years after the start-up was 39.1 percent, with only about 4 out of 10 surviving, with 27.5 percent surviving for five years, and only 3 out of 10 surviving. On the other hand, overseas start-ups have a survival rate of twice as high as that of Korea for five years. Accordingly, this study aims to empirically analyze and examine the need for research on nascent entrepreneurs, which have recently been actively supported by the government, as well as the impact of start-up motivation and start-up preparation on the intention to continue business. The survey was conducted from April 1 to May 15, 2020 for nascent entrepreneurs nationwide, and 222 of the total 245 copies were analyzed, and the questionnaire was measured using the Likert 5-point scale. As a result of the analysis, first, all factors constituting start-up motivation were adopted by significantly affecting start-up satisfaction. In addition, among the sub-factors of nascent entrepreneurs' preparation, item preparation was adopted as a significant influence on start-up satisfaction. Second, the nascent entrepreneurs' satisfaction level was adopted by having a significant impact on the business continuity. Third, some of the motivations for self-realization of the motivation for start-ups were adopted by having a significant impact on the business continuity. In addition, the preparation of items for the start-up preparation of nascent entrepreneurs was partially adopted as they had a significant impact on the business continuity. Fourth, it was adopted by the mediation effect of start-up satisfaction between the motivation of the nascent entrepreneurs' preparation and the business continuity. In addition, it was adopted by the medium effect of start-up satisfaction between the nascent entrepreneurs' preparation and the business continuity. Based on the results of these studies, it is intended to draw practical implications, and to provide useful policy implications to increase nascent entrepreneurs' satisfaction and continue to carry out their start-ups.

The Study about Developing More Rational Valuation Model to the Early Stage Companies (초기기업에 대한 정량적 가치평가 모델 구축에 관한 탐색적 연구)

  • Kang, Sang-Wook;Yang, Young-Seok;Yang, Soo-Hee
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.12 no.4
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    • pp.15-24
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    • 2017
  • The major goal of this paper falls on developing new rational valuation model, to help companies and investors in the early stage of growth as to preparing and negotiating valuation of investment, by applying new reasonable discount indexes of calculating Discount Cash Flow in valuation of the start-up which has been recognized the critical fatal flaws of DCF with them. There are three specific studies done in this paper. First, this paper found the solid and viable bases of rational discount indexes as to applying DCF in valuing companies in the early growth stage with reviewing the previous studies including Berkus method, Scorecard Method, and Risk factor Summation method classified the most effective tools of valuing pre-revenue generating companies. Second, this paper quoted and analyzed the previous models and studies, so called, 'DCF-Prime' of applying DCF method as to value companies in the early growth stage by taking all risk factors innate to the companies in the early growth stage as the discount rate Beta coefficient. Third, this paper propose more viable and solid valuation models, so called, 'DCF-Plus'of combing all validated valuation factors in Berkus, Scorecard, and Risk Factor Summation methods into applying separate discount bracket after DCF Valuation over the companies in the early growth stage instead of taking them as the factors of discount rate, beta coefficient, like the previous model of DCF-Prime. DCF-Plus mainly developed in this paper will not only provide more rational valuation bases as to investment negotiation between companies and investors in the early growth stage, but also providing more accountable guidelines to companies in the early growth as to prepare investment raising and accelerating their company's value by themselves.

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A Study on Investors Determinants Addressed by Startup Entrepreneurs : In the Center of Startups in Water Industry (창업기업관점에서 바라본 투자자의 투자결정요인에 관한 연구 : 물산업 창업기업을 중심으로)

  • Park, Dong Il;Yang, Young Seok;Kim, Myung Seuk
    • 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.

A Study on Daejeon Metropolitan City Job Creation Strategy by ICT-based Industry - Factors for creating jobs in overseas clusters by organizational ecology approach - (대전시 ICT산업 일자리 창출 전략에 관한 연구 - 해외클러스터 일자리 창출 요인의 조직생태학적 접근 -)

  • Hong, Eun-Young;Yang, Seung-Ho;Sung, Eul-Hyun
    • Management & Information Systems Review
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    • v.39 no.3
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    • pp.53-82
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    • 2020
  • Daejeon Metropolitan City has the best innovation capability infrastructure (ICT) required for the 4th industry. Nevertheless, there are scattered factors that hinder the industrial ecosystem. In this study, the factor of job creation was approached from the viewpoint of organizational ecology in consideration of regional characteristics during the 4th Industrial Revolution.That is, the case of job creation through overseas ICT-based clusters (or cities) was examined. Then, the factors of organizational ecology, 'niche', 'variation', 'selection', and 'retention' were derived. Through this process, we explored the environment surrounding Daejeon Metropolitan City and benchmarked lessons from existing overseas cluster cases. As a result, we discover the 'niche' of ICT-based job creation and suggest strategies for the 'variation' process to survive in the ecosystem and how to be 'retention' in the ecosystem. n conclusion, the strategy of the organizational ecological approach to establish itself as a metropolitan city as the strength of Daejeon city and the 'innovation hub' that is evident, such as '4th Industrial Revolution City', 'Innovation City Designation', and 'Secure Excellent Capability of SW' Insist on need. Through this study, we hope that there will be a theoretical contribution to the prior research lacking from original research such as the scarcity of ICT-based job creation research in response to the era of the fourth industrial revolution, recognition of the importance of the region in job creation, and presentation of an organizational ecological approach of sustainable clusters.

A Study on Participation Intention and Herd Behavior on Domestic Securities Type Crowdfunding Investors: Focusing on the Theory of Planned Behavior (국내 증권형 크라우드펀딩 투자자의 참여의도와 무리행동에 관한 연구: 계획된 행동이론을 중심으로)

  • Hwang, Nakjin;Lee, So-young
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.15 no.2
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    • pp.1-18
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    • 2020
  • This study is to identify the influence of major variables that affect the participation intention of securities type crowdfunding investors and how participation intention and perceived behavioral control affect investors' herd behavior including indirect effect analysis based on the theory of planned behavior. The ultimate purpose of this study is to understand the investment behavior of securities type crowdfunding investors and to help the relevant parties to develop various policies and business plans to revitalize the system and protect investors. An online survey was conducted on people who are interested or have experience in securities type crowdfunding to receive a total of 276 responses. Excluding outliers, a total of 261 responses were taken into account for the final analysis. For the data analysis, structural equation model analysis using SPSS 22.0 and Amos 22.0 statistical package was conducted. As a result, two of the major variables of the theory of planned behavior-attitude and subjective norm-have been found to have a positive effect on the participation intention of securities type crowdfunding investors. And after analyzing the indirect effect, the participation intention was found to play a mediating role between attitude, subjective norm and herd behavior. However, the perceived behavioral control presented as a major variable of behavioral intention in the theory of planned behavior showed that the effect on participation intention was statistically insignificant. Instead, it was found to have a direct positive effect on herd behavior. This is significant because it empirically confirmed that even if investors perceive securities type crowdfunding as easy to participate, perceived behavioral control does not seem to have a significant impact on participation intention because securities type crowdfunding is an investment in an early-stage business with a high risk of loss. On the other hand, the study has great significance in that it empirically confirmed that domestic securities type crowdfunding investors perceive the funding progress information provided by the platform as a signal and imitate many other investors, showing herd behavior when they actually make an investment. It is expected that this study will provide meaningful insights for the policy making of crowdfunding supervisory offices and platform operators by empirically identifying major variables that influence the participation intentions and herd behavior of domestic securities type crowdfunding investors.

A Case Study on Social Enterprises as Social Venture in Korea (소셜 벤처로서 사회적 기업에 대한 사례연구)

  • Hwang, Sunil
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.12 no.4
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    • pp.191-200
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    • 2017
  • As Korea experienced a Asian foreign exchange crisis in 1997 and a world financial crisis in 2008, the social structure of Korea has undergone many changes. The problem of polarization has become more serious, and the social class has become harder to move between strata. This problem has been accompanied by a growing sense of crisis that the power of social development can be lost along with the problem of population cliffs. Behind the crisis is a reflection of the fact that the growth-oriented economic policies and welfare policies implemented in various European countries can not solve the problem. As an alternative to this, the emergence of social enterprises is attracting attention. Social enterprises have the characteristic of seeking to generate economic profit in order to achieve the purpose of the public interest to provide jobs to the underprivileged. In recent years, the importance of social ventures to expand the scope of new social enterprises in innovative ways has increased. The social venture is a venture business in that it takes risks to develop new areas, not existing business areas, but it also has the character of a social enterprise to achieve the public interest. In other words, an innovative corporate model that provides a creative and challenging solution of social problems in the venture spirit. Although the interest and importance of social enterprises and social ventures are increasing, this academic research is still lacking. The purpose of this study is to introduce and analyze cases of successful social enterprises and social ventures in order to reflect these social interests and their importance and to fill the gap of previous studies. In addition, I hope that this study will stimulate interest and research on the start - up of social venture.

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Some lessons from German startup policies (독일의 창업정책과 정책적 시사점)

  • Kim, Young-woo
    • Journal of Venture Innovation
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    • v.1 no.1
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    • pp.49-65
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    • 2018
  • For a long time the German economy was primarily defined by large corporations and thriving small and medium-sized enterprises. Since about 2005 a second strand has started to emerge and it is one which is becoming increasingly important and is creating jobs - start-ups in the digital sector. This start-up activity is taking an important role in Germany's economic development: Start-up companies spawn innovations and create jobs, thus promoting the concept of competition. In general "start-up" refers to digitally-driven companies that are not more than five years old. Germany's start-up policy consists of three main parts. First of all, Germany has the characteristics of technology-based start-ups. The Hartz reform since 2002 has shown its focus on technology-based start-ups. In particular, it is the most appropriate for a start-up company to take the role of a new technology company to respond to changes in the global industrial structure. Second, it is approaching from a long-term perspective. In this regard, the small business policy, including Germany's new business policy, is seen as a tradition that can be consistent and can make policy decisions based on the basics rather than following the times. Third, the government is implementing policies centered on demand. Germany's start-up policy is summarized as a technology-based policy and new job creation. The policy response is that the government seeks the best combination of policies by adapting them to the times from the broad trend of employment market policies. What is important here is that policies are made based on consumers, not suppliers, in the process of policy making and implementation. With the Digital Agenda 2020 the Federal government has likewise committed itself to preparing the digital economy for international competition and making Germany the "No. 1 digital growth country in Europe". Ever since 1998 the Federal Ministry for Economic Affairs and Energy (BMWi) has awarded the "EXIST" start-up scholarship to students and graduates. The Ministry also invests in the High Tech start-up fund. Together with Kreditanstalt für Wiederaufbau (KfW) and 18 other investors from the world of business the seed investor promotes young technology companies. Germany offers start-ups a good infrastructure and lots of funding opportunities. Berlin is regarded as Europe's start-up capital and also attracts lots of international young entrepreneurs.

Clustering Method based on Genre Interest for Cold-Start Problem in Movie Recommendation (영화 추천 시스템의 초기 사용자 문제를 위한 장르 선호 기반의 클러스터링 기법)

  • You, Tithrottanak;Rosli, Ahmad Nurzid;Ha, Inay;Jo, Geun-Sik
    • Journal of Intelligence and Information Systems
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    • v.19 no.1
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    • pp.57-77
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    • 2013
  • Social media has become one of the most popular media in web and mobile application. In 2011, social networks and blogs are still the top destination of online users, according to a study from Nielsen Company. In their studies, nearly 4 in 5active users visit social network and blog. Social Networks and Blogs sites rule Americans' Internet time, accounting to 23 percent of time spent online. Facebook is the main social network that the U.S internet users spend time more than the other social network services such as Yahoo, Google, AOL Media Network, Twitter, Linked In and so on. In recent trend, most of the companies promote their products in the Facebook by creating the "Facebook Page" that refers to specific product. The "Like" option allows user to subscribed and received updates their interested on from the page. The film makers which produce a lot of films around the world also take part to market and promote their films by exploiting the advantages of using the "Facebook Page". In addition, a great number of streaming service providers allows users to subscribe their service to watch and enjoy movies and TV program. They can instantly watch movies and TV program over the internet to PCs, Macs and TVs. Netflix alone as the world's leading subscription service have more than 30 million streaming members in the United States, Latin America, the United Kingdom and the Nordics. As the matter of facts, a million of movies and TV program with different of genres are offered to the subscriber. In contrast, users need spend a lot time to find the right movies which are related to their interest genre. Recent years there are many researchers who have been propose a method to improve prediction the rating or preference that would give the most related items such as books, music or movies to the garget user or the group of users that have the same interest in the particular items. One of the most popular methods to build recommendation system is traditional Collaborative Filtering (CF). The method compute the similarity of the target user and other users, which then are cluster in the same interest on items according which items that users have been rated. The method then predicts other items from the same group of users to recommend to a group of users. Moreover, There are many items that need to study for suggesting to users such as books, music, movies, news, videos and so on. However, in this paper we only focus on movie as item to recommend to users. In addition, there are many challenges for CF task. Firstly, the "sparsity problem"; it occurs when user information preference is not enough. The recommendation accuracies result is lower compared to the neighbor who composed with a large amount of ratings. The second problem is "cold-start problem"; it occurs whenever new users or items are added into the system, which each has norating or a few rating. For instance, no personalized predictions can be made for a new user without any ratings on the record. In this research we propose a clustering method according to the users' genre interest extracted from social network service (SNS) and user's movies rating information system to solve the "cold-start problem." Our proposed method will clusters the target user together with the other users by combining the user genre interest and the rating information. It is important to realize a huge amount of interesting and useful user's information from Facebook Graph, we can extract information from the "Facebook Page" which "Like" by them. Moreover, we use the Internet Movie Database(IMDb) as the main dataset. The IMDbis online databases that consist of a large amount of information related to movies, TV programs and including actors. This dataset not only used to provide movie information in our Movie Rating Systems, but also as resources to provide movie genre information which extracted from the "Facebook Page". Formerly, the user must login with their Facebook account to login to the Movie Rating System, at the same time our system will collect the genre interest from the "Facebook Page". We conduct many experiments with other methods to see how our method performs and we also compare to the other methods. First, we compared our proposed method in the case of the normal recommendation to see how our system improves the recommendation result. Then we experiment method in case of cold-start problem. Our experiment show that our method is outperform than the other methods. In these two cases of our experimentation, we see that our proposed method produces better result in case both cases.