• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.1
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• pp.119-132
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• 2014

This study analyzed the failure prediction model of the firms listed on the KOSDAQ by considering whether there are embezzlement, malpractice and the largest shareholder changes or not. This study composed a total of 166 firms by using two-paired sampling method. For sample of failed firm, 83 manufacturing firms which delisted on KOSDAQ market for 4 years from 2009 to 2012 are selected. For sample of normal firm, 83 firms (with same item or same business as failed firm) that are listed on KOSDAQ market and perform normal business activities during the same period (from 2009 to 2012) are selected. This study selected 80 financial ratios for 5 years immediately preceding from delisting of sample firm above and conducted T-test to derive 19 of them which emerged for five consecutive years among significant variables and used forward selection to estimate logistic regression model. While the precedent studies only analyzed the data of three years immediately preceding the delisting, this study analyzes data of five years immediately preceding the delisting. This study is distinct from existing previous studies that it researches which significant financial characteristic influences the insolvency from the initial phase of insolvent firm with time lag and it also empirically analyzes the usefulness of data by building a firm's fail prediction model which considered embezzlement/malpractice and the largest shareholder changes as dummy variable(non-financial characteristics). The accuracy of classification of the prediction model with dummy variable appeared 95.2% in year T-1, 88.0% in year T-2, 81.3% in year T-3, 79.5% in year T-4, and 74.7% in year T-5. It increased as year of delisting approaches and showed generally higher the accuracy of classification than the results of existing previous studies. This study expects to reduce the damage of not only the firm but also investors, financial institutions and other stakeholders by finding the firm with high potential to fail in advance.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.6
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• pp.13-24
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• 2022

The purpose of this study is to examine whether the existence of related personnel in KOSDAQ technology special listed firms has a signal effect on the market and affects performance when listed. The KOSDAQ technology special listing system is a system introduced to enable future growth by securing financing through corporate public offering based on the technology and marketability of technology-based startups and venture companies. As a result of analyzing 135 special technology companies listed from 2005 to 21 (excluding SPAC mergers and foreign companies) whether or not related personnel affect corporate value and listing period when they are listed, it was analyzed that the presence of related personnel did not significantly affect corporate value or listing period. The same was found in the results of the verification by reducing the scope to related personnel such as public officials and related agencies. However, under certain conditions, significant results were derived from the presence of related personnel on the listing of companies listed in special technology cases. It was found that the presence of related personnel and VC investment had a significant effect on corporate value, and in the case of bio-industry, there was a slight significant effect on the duration of listing. This study is significant in that it systematically analyzed the signal effect of the existence of related personnel for the first time for all 135 companies. In addition, as a result of the analysis, the results suggest that internalized efforts to secure technology and marketability are more important, such as parallel to VC investment, rather than simply recruiting related personnel.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.179-190
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• 2020

This research analyses the financial characteristics of corporate R&D intensity in the Korean capital market. It is important to pay greater attention to this subject, given the current situation of the shortage of core components domestically in Korea. Three hypotheses are postulated to investigate the financial factors of R&D investments for KOSDAQ-listed firms during the post-era of the global financial turmoil. By applying a conditional quantile regression (CQR) model, three variables included R&D intensity in the previous year (Lag_RD), the squared term of Lag_RD, and interaction between the high-tech sector and Lag_Rd, reveal significant effects on the current R&D ratio. Whereas more than half of the total variables show variable impacts between firms with higher and lower R&D intensity, only Lag_RD and squared term of Lag_RD were found to be significant. It is expected that these results may contribute to being financial catalysts for an optimal level of R&D expenditures, thereby maximizing firm value for shareholders in KOSDAQ-listed firms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.248-258
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• 2021

The study analyzed the financial determinants of corporate R&D intensity that require more attention from academics and practitioners in the Korean capital market. Domestic small and medium enterprises (SMEs) may face with developing substitutes by making more R&D investments in scale and scope, given the unprecedented economic conditions such as the limitation of importing core components and materials from other nation(s). KOSDAQ-listed SMEs were selected as sample data, whose R&D expenditures may be less than those of large firms during the post-global financial turmoil period (2010~2018). Static panel data model was applied, along with Tobit and stepwise regression models, for examining the validity of results. Logit, probit, and complementary log-log regressions were also employed for a relative analysis. R&D expenditures in the prior year, the interaction effect between the previous R&D intensity and high-tech sector, firm size, and growth rate were significant to determine R&D intensity. Moreover, a majority of explanatory variables were found to change between the years 2011 and 2018, while time-lagged effects between the R&D intensity and growth rate exist. Results of the study are expected to be used for future research to detect optimal levels of R&D expenditures for the value maximization of SMEs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.4 no.3
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• pp.289-295
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• 2003

In this paper, the option valuation of venture business was calculated by utilizing growth option model, chosen from real option valuation method. The evaluation of venture business was estimated by adding option value to the terminal value discounted from cashflow method. As the result of the empirical analysis, ROV model applied in the Study is more reliable Han the DCF model concerning the pricing of venture business. Unlike the previous study of Schartz & Moon which only analyzed one venture business, this study estimated and analyzed the rational pricing of venture business with comparative methods using various parameters of sampling 99 domestic venture businesses.

• Journal of Korea Technology Innovation Society
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• v.14 no.3
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• pp.466-487
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• 2011

This study analyzed the effect of small and medium businesses' R&D intensity and patents on their price-earnings (P/E) ratios. Regression analysis was conducted on a sample of manufacturers listed on the Korean Securities Dealers Automated Quotations (KOSDAQ) for the past decade (2000~2009). The result is summarized as follows. First, a negative correlation was identified between companies' R&D intensity and their P/E ratios, but no significant relationship was found between their numbers of domestic patent applications and registrations and P/E ratios. Second, the analysis of the effect of the companies' R&D intensity on their P/E ratios resulted in a negative correlation of -1%. Third, the analysis of the effect of the companies' number of domestic patent applications and registrations on their P/E ratios showed that they did not have any significant relationship. Fourth, high-tech firms' R&D intensity had a negative correlation of -1% with their P/E ratios, but had a positive correlation of 1% with their numbers of domestic patent applications. Furthermore, the R&D intensity of middle-to-high and middle-to-low tech enterprises had a negative correlation of -1% with their P/E ratios, whereas their numbers of domestic patent applications and registrations had no significant relationship with their P/E ratios. The above results suggest that to produce successful outcomes from their R&D investment and patents, individual firms need strategies for technological innovation that relate to their technological level.

• Journal of Intelligence and Information Systems
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• v.22 no.2
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• pp.81-96
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• 2016

As the internet has become widespread and easy to access everywhere, it is common for people to search information via online search engines such as Google and Naver in everyday life. Recent studies have used online search volume of specific keyword as a measure of the internet users' attention in order to predict disease outbreaks such as flu and cancer, an unemployment rate, and an index of a nation's economic condition, and etc. For stock traders, web search is also one of major information resources to obtain data about individual stock items. Therefore, search volume of a stock item can reflect the amount of investors' attention on it. The investor attention has been regarded as a crucial factor influencing on stock price but it has been measured by indirect proxies such as market capitalization, trading volume, advertising expense, and etc. It has been theoretically and empirically proved that an increase of investors' attention on a stock item brings temporary increase of the stock price and the price recovers in the long run. Recent development of internet environment enables to measure the investor attention directly by the internet search volume of individual stock item, which has been used to show the attention-induced price pressure. Previous studies focus mainly on Dow Jones and NASDAQ market in the United States. In this paper, we investigate the relationship between the individual investors' attention measured by the internet search volumes and stock price changes of individual stock items in the KOSDAQ market in Korea, where the proportion of the trades by individual investors are about 90% of the total. In addition, we examine the difference between industries in the influence of investors' attention on stock return. The internet search volume of stocks were gathered from "Naver Trend" service weekly between January 2007 and June 2015. The regression model with the error term with AR(1) covariance structure is used to analyze the data since the weekly prices in a stock item are systematically correlated. The market capitalization, trading volume, the increment of trading volume, and the month in which each trade occurs are included in the model as control variables. The fitted model shows that an abnormal increase of search volume of a stock item has a positive influence on the stock return and the amount of the influence varies among the industry. The stock items in IT software, construction, and distribution industries have shown to be more influenced by the abnormally large internet search volume than the average across the industries. On the other hand, the stock items in IT hardware, manufacturing, entertainment, finance, and communication industries are less influenced by the abnormal search volume than the average. In order to verify price pressure caused by investors' attention in KOSDAQ, the stock return of the current week is modelled using the abnormal search volume observed one to four weeks ahead. On average, the abnormally large increment of the search volume increased the stock return of the current week and one week later, and it decreased the stock return in two and three weeks later. There is no significant relationship with the stock return after 4 weeks. This relationship differs among the industries. An abnormal search volume brings particularly severe price reversal on the stocks in the IT software industry, which are often to be targets of irrational investments by individual investors. An abnormal search volume caused less severe price reversal on the stocks in the manufacturing and IT hardware industries than on average across the industries. The price reversal was not observed in the communication, finance, entertainment, and transportation industries, which are known to be influenced largely by macro-economic factors such as oil price and currency exchange rate. The result of this study can be utilized to construct an intelligent trading system based on the big data gathered from web search engines, social network services, and internet communities. Particularly, the difference of price reversal effect between industries may provide useful information to make a portfolio and build an investment strategy.

• 한국벤처창업학회:학술대회논문집
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• 2019.11a
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• pp.165-170
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• 2019

본 논문은 매출액대비연구개발비비중과 배당성향이라는 두 지표를 사용하여 IPO 전후 기업 경영의 변화를 관측하고, 이 같은 변화가 장기적인 기업 발전을 위한 창업자의 지배권 보장이라는 차등의결권 주식 발행의 필요성을 입증하는지 검토한다. 매출액대비연구개발비와 배당성향은 각각 장기적인 목적과 단기적 목적의 현금흐름 사용의 대표적 지표로서, 두 지표는 현금흐름의 처분에 대한 주주의 압력을 간접적으로 측정하는 지표이다. 두 지표가 IPO를 전후하여 크게 차이를 보이며, 또 그 차이가 단기적 이익보다 장기적 성과를 중시하는 방향으로 나타난다면 장기적 기업 가치 제고를 위해 차등의결권의 유용성을 방증할 수 있으나, 반대의 경우에는 차등의결권 도입의 실증적 근거가 미약하다고 할 수 있다. 본 논문의 분석 결과는 다음과 같다. 첫째, 2000년부터 2016년까지 유가증권시장과 코스닥시장, 코넥스시장에 상장한 기업 중 IPO 전후 3년 간, 즉 t-3년 ~ t+3년에 각각 연구개발비비중과 배당성향을 공시하고 있는 278개 기업과 37개 기업을 조사한 결과, 매출액대비연구개발비 비중이 IPO 이후 반드시 감소하였다고 판단할 수 없었다. 둘째, 배당성향은 일관되게 IPO 이전 수준이 IPO 이후 수준보다 높았다. 이 같은 결과는 기업의 장기적 발전을 위하여 창업자의 지배권을 보장하기 위해 차등의결권이 필요하다는 주장의 실증적 근거가 명확하지 않음을 의미한다. 단기적 시각의 주주에 대항하여 현금흐름과 지배권이 분리된 주식을 발행할 필요가 있다는 주장보다는 차등의결권이 지배주주의 경영권 영속화의 수단으로 활용될 수 있다는 비판이 보다 설득력이 있을 수 있다.

• 한국벤처창업학회:학술대회논문집
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• 2022.04a
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• pp.11-15
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• 2022

한국은 전 세계에서 미국에 이어 두 번째로 인터넷 연결에 성공한 나라가 되었고 1990년대 후반에는 세계 최초로 초고속 인터넷이 도입, 개발되면서 많은 닷컴기업들이 등장하였다. 이렇게 인터넷을 기반으로 한 비즈니스들이 출현하고 '인터넷 혁명'이라 불릴 정도로 사회, 경제적 변화가 일어났으나, 인터넷 비즈니스 역사에 대한 연구는 매우 제한적이다. 본 연구는 인터넷 비즈니스의 역사에 대해 다양한 개별 기업의 역사연구를 수행한 후, 비교를 통해 설명 변수를 발견하고 이를 통해 이론을 발견하는 경영사적 연구접근 방법을 소개하고자 한다. 구체적으로 본 연구는 귀납적 접근방법을 기초로 1990년대 말, 2000년대 초의 이른바 창업자, 벤처 관련 인사들의 인터뷰 및 문헌연구를 진행하였다. 스타트업 역사 상 의미가 큰 기업으로 메디슨, 큐닉스, 새롬기술, 다음, 네이버, NC소프트, 넥슨에 대한 내용을 정리 중이다. 이 기업들은 공통적으로 새로운 기술 도입을 기회로 삼아 가치를 창출하여 사회를 바꾸려하는 기업가정신을 추구하고 있었다. 또한 인터넷 인프라를 기민하게 활용하였으며 1997년 말 외환위기로 인해 인재와 자금이 벤처로 이동한 환경적 변화가 성장의 기폭제가 되었다. 또한 코스닥을 통한 자금조달 등은 벤처기업들의 시장기회를 확대하고 성장에 기여를 하였으며 자율적이고 유연한 기업문화에 형성하며, 대학가에 창업 붐을 일으키기도 하였다. 제 2벤처붐이 도래한 이 시점에 벤처기업에 대한 귀납적 방법론을 활용한 경영사적 관점의 지속적 연구가 필요하다.

• Knowledge Management Research
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• v.7 no.1
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• pp.65-80
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• 2006

Recently, Korean economy is boosted by the active introduction of many venture businesses full of entrepreneurship. It has been widely accepted implicitly that success of the venture business originates from unique style of knowledge management. This assumption looks natural when we consider the fact that success of the venture business heavily depends on differentiated intelligent asset or knowledge. However, such implicit belief has never been tested empirically. To fill the research void like this, this paper proposes an empirical derivation of key success factors from the venture businesses listed in KOSDAQ. To add rigor to our results, we performed regression analysis by using the derived key success factors as independent variables, and introducing organization efficiency, job satisfaction, and accomplishment motivation as dependent variables. Regression results showed that our approach is justified from the statistical perspective.