• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.6
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• pp.9-21
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• 2014

Source and use of investment money in the content business has been subject to closer attention, This study attempts to identify the information asymmetry problem in the performing art are, focusing on the Korean musical play. Despite the various discussions in the venture capital practice in the performing art area, there has been few studies analyzing the investors' perspective. While juggling with the 'artistic value' and 'rate of return', the investors are concerned about the 'transparency' of the performing art practice. When coupled with the subjective judgment of 'artistic value', the information asymmetry between the investor and the performing art manager becomes more delicate. In the performing art business, 'SPC(Special Purpose Company)' is considered a possible solution to organize the deal structure in this field. This study analyzes the role of SPC regarding the information asymmetry problem.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.287-308
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• 2022

The explosive growth of cryptocurrency, led by Bitcoin has emerged as a major issue in the financial market recently. As a result, interest in cryptocurrency investment is increasing, but the market opens 24 hours and 365 days a year, price volatility, and exponentially increasing number of cryptocurrencies are provided as risks to cryptocurrency investors. For that reasons, It is raising the need for research to reduct investors' risks by dividing cryptocurrency which is not suitable for recommendation. Unlike the previous studies of maximizing returns by simply predicting the future of cryptocurrency prices or constructing cryptocurrency portfolios by focusing on returns, this paper reflects the tendencies of investors and presents an appropriate recommendation method with interpretation that can reduct investors' risks by selecting suitable Altcoins which are recommended using Apriori algorithm, one of the machine learning techniques, but based on the similarity and association rules of Bitocoin.

• Information Systems Review
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• v.16 no.2
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• pp.25-41
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• 2014

While previous studies on Crowd funding mainly focused on the plan and policy of the introduction of Crowd funding, this study classified Investment Decision Making criterion and proposed the significance of each factor, leading to results that can help investors practically. According to the analysis, (1) physical resource in business is the most important criterion to be considered as the way for investor to objectively make decisions on business model, (2) although people pay attention to the managerial capabilities of business, the creativity of business model is not being paid much attention. The result of this study can objectively determine investment decision making on business model thought a quantitative standard of judgment. Moreover, an environment should be built for healthy decision making which is based on business model instead of only product, and it is necessary to have institutional framework to enable new companies to have healthy competition with existing companies through creative business model.

• Korean Journal of Construction Engineering and Management
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• v.16 no.4
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• pp.107-117
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• 2015

As the demand for urban business hotel has increased in the recent years due to the sharp rise in overseas tourists, the potential of business hotel development has gained in financial attention for the real estate investment. However, its concept and business domain has not been defined, and none of investment guidance for the development has not been clarified. Accordingly, this report intends to define the concept of urban business hotel in perspective of real estate investment through prior case studies and literature review, and provide the structure of determinants which control its investment decisions. Furthermore, this study develops the weight of determinants depending on the type of investment, and evaluate the two actual projects in urban area of Seoul, differed from investment type: direct and indirect, based on AHP and Fuzzy methodologies. Research finding indicate that the financial factors affecting the sales and tour business condition factors are critical determinants regardless of investment type. And it is notable that the direct investment perspective pays more attention on the finance and investment associated determinants while the indirect one more focuses on the regional and environmental ones. From the analysis of case evaluation, it is also noteworthy that the direct investors turn out to be more conservative than indirect investors due to the risk of equity capital investment.

• Vending industry
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• v.3 no.1 s.9
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• pp.64-69
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• 2004

고수익을 미끼로 한 자판기 분양사기가 최근 급증하고 있어 큰 문제가 되고 있다. 무조건 자판기 수익성만을 과대포장하여 투자자들의 `묻지마` 투자를 유도한 후 돈만 챙기고 사업에서 손을 떼어버리는 사기행각은 그 피해대상이 대부분 서민이라는 점에서 문제의 심각성을 더한다. 자판기가 불법 자금 모집을 통해 사기의 대상으로 외부 인식이 악화되어 버린다면 자판기 산업의 입지 역시 크게 좁혀 질 수 밖에 없다. 자판기 품목에 있어서는 불법자금모집의 대표적인 사례가 되는 경우는 확정수익을 보장한다며 투자자를 모집하는 경우이다. 그 후 일정기간동안 수익을 보장하며 투자자를 안심시킨 다음 일순간 돌변하여 자금을 챙겨 잠적을 하는 수순을 밝는다. 선의의 투자자들은 이럴 경우 엄청난 피해를 입게 되는 게 보통이다. 대개의 경우 기계 1~2대의 소량물량이 아닌 5대~l0대 단위의 투자를 유도하기 때문이다. 이제는 자판기 산업에 있어 이러한 악성 불법자금 모집업체들이 근절되어야 한다. 이 불법 사기행각의 대상이 더 이상 자판기 분야에 발을 붙이지 못하도록 하는 제도적 비책이 시급히 강구 되어야 한다. 이러한 가운데 금융감독원 비은행감독국 비제도금융조사팀에서는 올들어 지난 9월말까지 고수익을 미끼로 투자자금을 모집하다가 금감원에 적발된 유사 금융업체 85개사 명단을 사법당국에 통보했다. 불법자금모집 업체들이 투자자들을 유혹하기위해 미끼로 내세운 사업을 종류별로 보면 자판기, 게임기, 컴퓨터단말기 등 특정상품 운영권 제공이 29개사로 가장 많고, 사이버 쇼핑몰 및 인터넷사업(18개사), 납골당 등 부동산 투자(12개사), 영화등 문화 및 레저사업(10개사), 영화문화 및 레저산업(10개사), 벤처투자사(9개사) 등이었다. 자판기 분야에 있어서는 주로 성인용품자판기, 복권자판기 등의 품목이 불법자금 모집의 집중 타킷이 되었다. 금감원은 최근들어 유사 금융업체의 자금모집이 전문가도 속을 정도로 지능화하고 있다며 개인투자자들이 피해를 예방할 수 있는 불법업체 식별법을 금감원 인터넷 사이트(www.fss.or.kr)에 게시했다. 금감원은 특히 사업현황에 대해 지나치게 보안을 유지하는 업체, 1백$\%$이상의 터무니없는 고수익을 보장한다고 광고하는 업체, 제도권 금융회사의 지급보증을 강조하는 업체에 대해서는 투자에 앞서 금감원이나 업종 관련 정부당국에 사실여부를 확인해 보고 투자여부를 결정하라고 통보했다. 아울러 금감원은 금융소비자들이나 자판기 업계에서 불법자금 모집업체를 발견하여 전화(02-3786-8155~9)나 인터넷소비자 보호센터와 경찰에 신고해줄 것을 요청했다. 이제는 산업계도 더 이상 자판기 분야의 불법자금업체를 방치하지 말고 적극적인 금감원 신고를 통해 시장을 정화할 수 있게 해야 한다. 미꾸라지 한두마리가 온 개천 물 다 흐려놓는 이치처럼 자판기불법자금업체들로 인해 전체 산업에 미치는 영향이 실로 심각함을 인식해야 할 때이다. 금호 산업정보에서는 산업계에서 불법자금업체 근절에 많은 관심을 가질 수 있게 하기 위해 금융감독원 비은행감독국 비제도금융조사팀에서 배포한 $\ulcorner$불법자금 모집업체 고수익 보장 유혹에 주의$\lrcorner$ 에 대한 보도자료의 세부내용을 게재한다.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.472-482
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• 2012

There are many investors in the stock market, and more and more people get interested in the stock investment. In order to avoid risks and make profit in the stock investment, we have to determine several aspects using various information. That is, we have to select profitable stocks and determine appropriate buying/selling prices and holding period. This paper proposes a data mining tool for the investors' decision support. The data mining tool makes stock investors apply machine learning techniques and generate stock price prediction model. Also it helps determine buying/selling prices and holding period. It supports individual investor's own decision making using past data. Using the proposed tool, users can manage stock data, generate their own stock price prediction models, and establish trading policy via investment simulation. Users can select technical indicators which they think affect future stock price. Then they can generate stock price prediction models using the indicators and test the models. They also perform investment simulation using proper models to find appropriate trading policy consisting of buying/selling prices and holding period. Using the proposed data mining tool, stock investors can expect more profit with the help of stock price prediction model and trading policy validated on past data, instead of with an emotional decision.

• 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.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.644-660
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• 2016

With the development of Fintech industry, research interest in crowdfunding is growing. Crowdfunding, originated from crowdsourcing, involves the participation of many individuals' contributions to funding a new project. Specifically, lending based crowdfunding provides a platform for raising funds in the form of loans by connecting borrowers to funders(investors) via Internet, not through traditional financial institutions. Recently, lending based crowdfunding attracts much attention as a new investment alternative; however, there is a lack of research about lending based crowdfunding. This study aims to examine the factors influencing an investor's participation in lending based crowdfunding by focusing on platform features, investor features, and project features. Based on the findings, this study discusses theoretical and practical implications for promoting the crowd's investments through crowdfunding platforms.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.1
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• pp.1-7
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• 2021

Investor mood from social media is gaining increasing attention for leading a price movement in stock market. Based on the behavioral finance theory, this study argues that sentiment extracted from social media using big data technique can predict a real-time (short-run) price momentum in Chinese stock market. Collecting Sina Weibo posts that related to COVID-19 using keyword method, a daily influential weighted sentiment factors is extracted from the sizable raw data of over 2 millions of posts. We examine one supervised and 4 unsupervised sentiment analysis model, and use the best performed word-frequency and BiLSTM mdoel. The test result shows a similar movement between stock price change and sentiment factor. It indicates that public mood extracted from social media can in some extent represent the investors' sentiment and make a difference in stock market fluctuation when people are concentrating on a special events that can cause effect on the stock market.

• The Magazine for Energy Service Companies
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• s.61
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• pp.16-19
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• 2009

'2009 대한민국 녹색에너지대전'이 지식경제부 주최, 에너지관리공단 주관으로 지난 10월 13일 서울 삼성동 코엑스(A홀 옛 태평양홀)에서 개최되었다. 올해로 제29회를 맞이한 대한민국 녹색에너지대전은 중국 호주 독일 일본 등 총 12개국에서 145개 업체가 참여하여 국내외 고효율 기기 및 최신 에너지 절감 기술, 신재생 에너지 설비 등을 한자리에 선보였다. 올해에는 '신재생에너지관' 등 4개의 대주제관과 'LED 고효율 조명관' 등 국가 신성장동력을 상징하는 4개의 특별테마관을 중심으로 총 587개 부스 규모로 구성됐다. 특히 이번 전시회에는 정부가 강력히 추진하는 녹색성장정책에 관심이 고조되면서 LG전자, 삼성전자를 비롯해 효성, 현대중공업, LS산전 등 대기업이 대거 참가, 에너지효율 및 온실가스 저감 관련 최신 기술을 선보였다. 이번 전시회에서는 효과적인 에너지절약 방법을 찾는 관람객들과 국내외 최신 에너지 기술 도입을 원하는 산업체 임직원, 신재생에너지 및 기후변화대응 분야 신규 사업에 관심 있는 투자자 등 전시장을 찾는 모두에게 유익한 정보를 제공하는 뜻깊은 국제적인 행사가 되었다.