• Journal of Information Technology Services
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• v.15 no.3
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• pp.1-14
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• 2016

According to the growing importance of science and technology policy, investment in research and development (R&D) has been increased. In this context, a patent as one of outcome of firm's systematic R&D investment is the way to hold a dominant position in companies' technology competitiveness and also to protect technology right. This study attempts to find the effects of input resources and intellectual property production activity on company value. It conducted empirical analysis based on 238 KOSDAQ-listed and medium-sized firms. Using the previous research, this study configurated research variables about activity of patent production, company value, and input of resources. Through these variables, it aims to know the effect of input of resources and activity of patent production on company value. First, the result of regression analysis shows that R&D cost has the positive effect on a patent production and sales promotion cost positively affects on the registration of the trademark. Second, the output of regression analysis indicates that a patent has the positive effect on company value but a trademark has not. With regard to the input of resources, R&D cost has the influence on company value but sales promotion cost has not. This study attempts to find the effectiveness of company's intellectual property registration on its value and suggests a way that the systematic R&D investment contributes the growth of company value.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.113-120
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• 2017

The purpose of this study is to analyze how the relative proportion of retention between real estate for business and investment real estate among the real estate held by corporations has been changed after and before the Financial Crisis as well as whether there has been any difference between KOSPI and KOSDAQ listed companies in terms of their share of the real estate. The increasing pattern of real estate owned by KOSDAQ were similar to the KOSPI companies except for investment properties during the Financial Crisis. The proportion of real estate owned by KOSPI had been lower than that of KOSDAQ companies in both investment and business real estate before the Financial Crisis. However, during the period of the Financial Crisis, the proportion of real estate for business held by KOSPI firms was higher than that of KOSDAQ firms. Furthermore, the portion of investment of real estate owned by KOSPI has remained higher than that of KOSDAQ after the Financial Crisis period and the recent period. Based on the results of this analysis, how the relevance of the change of portion between real estate for business and investment real estate affects management performance will be figured out in the future studies.

• Journal of Technology Innovation
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• v.10 no.1
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• pp.98-123
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• 2002

This study develops a Korean R&D Scoreboard which has originated from the R&D Scoreboard in United Kingdom. The Scoreboard contains details of the R&D investment, sales, growth, profits and employee numbers for Korean companies which are extracted from company annual reports and key ratios calculated, with some movements over time. Companies are classified by the Korea Standard Industrial Classification. The Scoreboard contains 190 companies which consist of 100 largest companies and 30 middle-or small-sized firms listed in Korea Stock Exchange (KSE), and 30 ventures and 30 other firms listed in KOSDAQ. The overall company R&D intensity (R&D as a percentage of sales) is 2.1% compared to the international average of 4.2%. Korea has an unusually large R&D percentage of sales in IT hardware (4.9%) and telecommunication (3.7%). R&D intensity is positively correlated with company performance measures such as profitability, sales growth, productivity and market value. For largest companies listed in KSE and ventures listed in KOSDAQ, the ratio of operating profit to sales is greater for high R&D intensity companies. Sales growth is in proportion to R&D intensity for all companies. Plots of value added per employee or sales per employee vs R&D per employee rise together for the sectors studied, especially for the chemical sectors and automobile sectors, demonstrating a correlation with productivity. The average market value of high R&D companies in the KSE has risen more than 1.6 times that of the KOSPI 200 index. Given the correlation between R&D intensity and company performance and given that R&D is a smaller percentage of surplus (profits plus R&D) than international level (both overall and in several sectors), the challenges facing Korean companies are to maintain the leading position in IT hardware and telecommunication, and to increase the intensity of R&D in many medium-intensive R&D sectors where Korea has an average intensity well below international or US levels.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.165-173
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• 2022

Recently, competition to provide specialized services for the information and communications industry has accelerated in terms of future technology and investment strategy of the Fourth Industrial Revolution. Technological innovations related to information and communications can be seen as increasing productivity, creating added value for companies, and playing a pivotal role in the development of economic growth. Therefore, efficient management of the information and communications industry is important. This study analyzes management efficiency stones for the top 30% of KOSDAQ-listed information and communications companies using dea, presents projected values of companies for efficient operation, and confirms benchmarking company references. We evaluated CCR efficiency, BCC efficiency, ranking, Scale Efficiency(SE), and Return To Scale (RTS) of KOSDAQ-listed information and communications businesses. The analysis showed CCR efficiency of 1, 14 companies, and 1 BCC efficiency, and Nanatan companies were analyzed as ten companies. Scale yield was analyzed by the IRS as four companies, 13 CRS and 13 DRS companies.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.157-176
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• 2018

The purpose of this research is to develop a detection model for companies designated as administrative issue in KOSDAQ market using financial data. Administration issue designates the companies with high potential for delisting, which gives them time to overcome the reasons for the delisting under certain restrictions of the Korean stock market. It acts as an alarm to inform investors and market participants of which companies are likely to be delisted and warns them to make safe investments. Despite this importance, there are relatively few studies on administration issues prediction model in comparison with the lots of studies on bankruptcy prediction model. Therefore, this study develops and verifies the detection model of the companies designated as administrative issue using financial data of KOSDAQ companies. In this study, logistic regression and decision tree are proposed as the data mining models for detecting administrative issues. According to the results of the analysis, the logistic regression model predicted the companies designated as administrative issue using three variables - ROE(Earnings before tax), Cash flows/Shareholder's equity, and Asset turnover ratio, and its overall accuracy was 86% for the validation dataset. The decision tree (Classification and Regression Trees, CART) model applied the classification rules using Cash flows/Total assets and ROA(Net income), and the overall accuracy reached 87%. Implications of the financial indictors selected in our logistic regression and decision tree models are as follows. First, ROE(Earnings before tax) in the logistic detection model shows the profit and loss of the business segment that will continue without including the revenue and expenses of the discontinued business. Therefore, the weakening of the variable means that the competitiveness of the core business is weakened. If a large part of the profits is generated from one-off profit, it is very likely that the deterioration of business management is further intensified. As the ROE of a KOSDAQ company decreases significantly, it is highly likely that the company can be delisted. Second, cash flows to shareholder's equity represents that the firm's ability to generate cash flow under the condition that the financial condition of the subsidiary company is excluded. In other words, the weakening of the management capacity of the parent company, excluding the subsidiary's competence, can be a main reason for the increase of the possibility of administrative issue designation. Third, low asset turnover ratio means that current assets and non-current assets are ineffectively used by corporation, or that asset investment by corporation is excessive. If the asset turnover ratio of a KOSDAQ-listed company decreases, it is necessary to examine in detail corporate activities from various perspectives such as weakening sales or increasing or decreasing inventories of company. Cash flow / total assets, a variable selected by the decision tree detection model, is a key indicator of the company's cash condition and its ability to generate cash from operating activities. Cash flow indicates whether a firm can perform its main activities(maintaining its operating ability, repaying debts, paying dividends and making new investments) without relying on external financial resources. Therefore, if the index of the variable is negative(-), it indicates the possibility that a company has serious problems in business activities. If the cash flow from operating activities of a specific company is smaller than the net profit, it means that the net profit has not been cashed, indicating that there is a serious problem in managing the trade receivables and inventory assets of the company. Therefore, it can be understood that as the cash flows / total assets decrease, the probability of administrative issue designation and the probability of delisting are increased. In summary, the logistic regression-based detection model in this study was found to be affected by the company's financial activities including ROE(Earnings before tax). However, decision tree-based detection model predicts the designation based on the cash flows of the company.

• Asia-Pacific Journal of Business
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• v.10 no.4
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• pp.205-221
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• 2019

The purpose of this research is to investigate the effect of cash holdings on firm value in export companies. To investigate this effect, we analyzed 5,386 samples drawn from export companies listed in the KOSDAQ from 2011 to 2018. During this period, the International Financial reporting Standards have been employed. The research results are as follows. First, the results of a T-test showed that the level of the firm value of export companies with high levels of cash holdings is significantly higher than that of those with low levels of cash holdings. In addition, the level of the firm value of export companies with higher levels of cash holdings than in the previous year is higher than the level might otherwise be. Furthermore, the effects of cash holdings on firm value are similar to those on return on asset. These results suggested that export companies have little used a way of increasing their debt levels in order to increase cash holdings. Second, the results of a multivariate regression analysis presented that the cash holdings of export companies in listed the KOSDAQ significantly influence their firm value. Moreover, a higher level of cash holdings than in the previous year significantly affect firm value. These results proposed that making higher cash holdings than in the previous year might be useful in enhancing firm value. We found that export companies efforts to increase cash holdings positively influence changes in firm value. We also found that Korean export companies maintain their financial stability by obtaining sufficient liquidity specifically in a high uncertainty era like the recent time. We finally firmed an effort to maintain cash holdings as a reasonable choice for export companies.

• The Journal of the Korea Contents Association
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• v.12 no.11
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• pp.295-302
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• 2012

The display industry plays an important role in the entire Korean economy. Few empirical research has analyzed the efficiency of display companies although it is necessary to measure the management efficiency for more efficient operation and more strengthening competitiveness of them. The purpose of this paper is to measure and analyze their efficiency of the Korean listed display companies using a hybrid ANP and DEA model. In this paper, we analyzed the 44 listed companies consisted of 7 listed on KOSPI and 37 listed on KOSDAQ at the end of 2010. In order to determine the input and output variables of DEA, the ANP model was applied to evaluate the importance of input and output variables. The benchmarking companies and efficiency value for the display firms with inefficiency were also provided to improve the their efficiency.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.2
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• pp.23-33
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• 2014

This paper aims at delivering significant implications to high-tech startups by visualizing the implementation process of leading KOSDAQ listed companies's business model. This paper founded two meaningful outcomes; first, hish-tech starts-up make a clear direction of implementing intangible business model in real business, second, targeting the role model of benchmarking business model among leading companies, by linking common feature between high-tech starts-up and leading KOSDAQ listed venutures sharing one of Key performance indexes falls on viable business model. The research results of visualizing the implementation of leading KOSDAQ listed ventures' business model shows three major implications. First, business model indicates not just simple logic of creating and delivering values, but more shows CEO leading management vehicle. Second, business model represents the multi-dimension process itself of integrating in and out company's core assets and competencies initiated by CEO. Third, financial outcomes of business model is automatic result of implementing on setting target customer, creating value, and delivering it rather than planned strategically. Fourth, the focal points of implementing business model falls on collecting real information from business sites.

• Asia-Pacific Journal of Business
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• v.11 no.2
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• pp.173-188
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• 2020

Purpose - This study examines the determinants of offer price and short-term and long-term performance of small and medium-sized enterprise(SME) IPO stocks listed on the KOSDAQ during the period from July 2007 to December 2016. Design/methodology/approach - The SME IPO samples are classified into three categories of regular listing, technology-based special listing, and listing by merger with special purpose acquisition company(SPAC), whose results are compared each other and compared to the result for the KOSDAQ listing of large firms. Findings - From the point of SME management which attempts to list its company on the KOSDAQ, the listing by merger with SPAC is the most unfavorable, and the underpricing phenomenon of the technology-based special listing is severe in the second place. By contrast, IPO stock investors can earn the largest abnormal return by purchasing the SPAC which succeeds the merger with unlisted firm, and the next abnormal returns are obtained in the order of the IPO stocks of technology-based special listing, regular listing of SMEs, and regular listing of large firms. However, it is interesting to observe that the net buying ratio of individual investors is relatively large for the IPO stocks of regular listing of SMEs and large firms, which exhibit the long-term under-performance. Research implications or Originality - This result implies that the exceptional listing system such as the technology-based special listing or the listing by merger with SPAC cost the SMEs which bypass the complicated procedure of the regular listing.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.121-127
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• 2020

This study analyzed through GEM-listed companies for verifying the interrelationship between positive and negative impacts on accounting information GEM-listed companies, whether venture firms operate the internal control operation system stably. Hong Kong's GEM listed company is a securities market similar to Korea's KOSDAQ market. To analyzing this study, used regression analysis method through internal control index to evaluate the operation of internal control system and discretionary accruals to evaluate the quality of accounting information. In this study, because profit adjustments used to realize through discretionary accruals, so analyzed using the modified Jones model to check whether the management deliberately transformed the company to realize future profits. In the empirical analysis, the correlation between the internal control index and the discretionary accruals to assess the quality of accounting information was able to find highly correlated. This study can provide useful guidance for evaluating the form and value of profit management of venture firms in the future, also would expect to help understand the financial environment of emerging venture firms.