• Journal of Korean Institute of Industrial Engineers
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• v.27 no.4
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• pp.337-344
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• 2001

As cost invested in developing the specified technology is increasing, investors are paying more attention to cost to benefit analysis (CBA). One of the basic elements of CBA for new technological development is the diffusion pattern of demand of such technology. Many studies of technology evaluation have adopted a single generation model to simulate the diffusion pattern of demand. This approach, however, considers the diffusion of the new technology itself, not taking into account a newer generation that can replace the one just invented. In this paper, we show how a multi-generation technology diffusion model can be applied for more accurate CBA for information technology. Monte Carlo simulation is performed to find influential factors on the CBA of a Cybernetic Building System.

• 한국벤처창업학회:학술대회논문집
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• 2018.04a
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• pp.183-185
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• 2018

Online search has recently become a popular business research field not only because the search volume is used to predict demand, but also consumer search history is effective to predict product prices and investment returns. This study analyzes the relationship between the Internet search volume of IPO stocks and their post-IPO stock returns in Korean Exchange. We find that the lower the amount of Internet search for stocks before IPO, the higher the stock returns after IPO both in short and long-term. Similar results are shown for excess returns over benchmark stocks. This finding suggests that IPO stocks with low investors' attention based on the Internet search volume may be undervalued.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.861-876
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• 2022

Cryptoassets such as Bitcoin and Ethereum are widely traded around the world. Cryptocurrencies are also transferred between investors. Cryptocurrency has become a new and attractive means of remittance. Thus, blockchain-based smart contracts also attract attention when central banks design digital currencies. However, it has been discovered that a significant amount of cryptoassets on blockchain are lost or stranded for a variety of reasons, including the loss of the private key or the owner's death. To address this issue, we propose a method for recoverable transactions that would replace the traditional transaction by allowing cryptoassets to be sent to a backup account address after a deadline has passed. We provide the computational workload required for our method by analyzing the prototype. The method proposed in this paper can be considered as a good model for digital currency design, including central bank digital currency (CBDC).

• Asia Marketing Journal
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• v.21 no.4
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• pp.59-76
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• 2020

Though crowdfunding has emerged as a cost-effective means to market innovative products and a channel for financial resource acquisition, our understanding about what makes a successful crowdfunding is still limited. This study is motivated by the presence of the inconsistency that both entrepreneurs and investors pay more attention to capabilities required for developing prototype products rather than capabilities needed to deliver the promised products in crowdfunding. By drawing insights from studies about liability of newness and legitimacy in institutional theory, this study argues that startups can overcome the liability of newness, earn investor trust, and successfully complete crowdfunding campaigns by effectively presenting visible and invisible capabilities. This study presents a set of testable propositions predicting the likelihood of crowdfunding success and explains the theoretical and practical value of the proposed conceptualization of startup capabilities.

• Korea Trade Review
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• v.45 no.1
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• pp.13-29
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• 2020

With the development of the Internet environment, cross-border crowdfunding has emerged as a novel method to attract foreign investors online. Focusing on 324 South Korea-based crowdfunding projects from Kickstarter, which is a representative cross-border crowdfunding platform, this study explores the trends of South Korea-based funding projects and examines the effects of key determinants on crowdfunding outcomes. Regarding the characteristics of crowdfunding projects, analysis results show that the appropriate goal amount and funding period, sufficient updates of project status, and active communication is critical for success. Additionally, from the perspective of project creators, this research finds that creators need to pay greater attention to writing their detailed biographies. Finally, examining the characteristics of project backers, this study shows that attracting project backers from various countries would be desirable rather than focusing on Korean sponsors from the start.

• 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 Korea Society of Industrial Information Systems
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• v.23 no.4
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• pp.81-92
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• 2018

Bitcoin is a cryptographic digital currency and has been given a significant amount of attention in literature since it was first introduced by Satoshi Nakamoto in 2009. It has become an outstanding digital currency with a current market capitalization of approximately $60 billion. By 2019, it is expected to have over 5 million users. Nowadays, investing in Bitcoin is popular, and along with the advantages and disadvantages of Bitcoin, learning how to forecast is important for investors in their decision-making so that they are able to anticipate problems and earn a profit. However, most investors are reluctant to invest in bitcoin because it often fluctuates and is unpredictable, which may cost a lot of money. In this paper, we focus on solving the Bitcoin forecasting prediction problem based on deep learning structures and neural decomposition. First, we propose a deep learning-based framework for the bitcoin forecasting problem with deep feed forward neural network. Forecasting is a time-dependent data type; thus, to extract the information from the data requires decomposition as the feature extraction technique. Based on the results of the experiment, the use of neural decomposition and deep neural networks allows for accurate predictions of around 89%.

• Journal of the Korean Data and Information Science Society
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• v.28 no.2
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• pp.287-295
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• 2017

Since Google's AlphaGo defeated a world champion of Go players in 2016, there have been many interests in the deep learning. In the financial sector, a Robo-Advisor using deep learning gains a significant attention, which builds and manages portfolios of financial instruments for investors.In this paper, we have proposed the a deep learning algorithm geared toward identification and forecast of the KOSPI index direction,and we also have compared the accuracy of the prediction.In an application of forecasting the financial market index direction, we have shown that the Robo-Advisor using deep learning has a significant effect on finance industry. The Robo-Advisor collects a massive data such as earnings statements, news reports and regulatory filings, analyzes those and recommends investors how to view market trends and identify the best time to purchase financial assets. On the other hand, the Robo-Advisor allows businesses to learn more about their customers, develop better marketing strategies, increase sales and decrease costs.

• 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.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.4
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• pp.27-36
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• 2016

Venture companies, which can commercialize various kinds of new ideas and creating added value, are amid of great attention. Since most of venture companies in initial development stages cannot finance its capital sufficiently all by their own, investments from outside investors are key factor to their survival. However, they have lots of difficulties in financing from outside investors because of their typical uncertain but favorable investment characteristics. Moreover, even though they had successfully financed from outsiders, problems related to their stakeholders, such as interrupting in management and types of investments, cause contrary results to firms. Therefore there are various kinds of systems for startups like angels, venture capitals and governmental supports. Even so, investments and supports for venture companies are still not sufficient. 'Accelerator', which is a brand-new investment type started from Silicon Valley in United States during the mid 2000, is growing attention these-days. It mainly supports startups financially in the initial development stages, however, it also supports the firms by providing mentoring, education and networking services. On the other hand, difference between existing investment types and performance of the investment is still in controversy. Therefore this study compared investment behavior between accelerator and venture capital. As a result, we found that the difference in investment behavior of accelerators and venture capital.