• The Korean Journal of Financial Studies
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• v.4 no.1
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• pp.205-232
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• 1998

본 연구는 최근의 제도개선으로 그 중요성이 증대되고 있는 상대가치계산 방식의 대안으로서 주가수익가치평가방식(Price-Earnings Valuation:이하 'P/E방식'이라 한다)을 우리 나라 시장에 적용하고 그 정확성을 검증한다. P/E방식에 따른 기업의 주가는 당해 기업의 주당수익과 유사기업으로부터 산출된 적정 주가수익비율(P/E 배수)을 곱함으로서 결정된다. 1988년에 우리 나라 시장에 상장된 기업을 대상으로 P/E방식을 사용한 연구결과는 두가지측면에서 중요한 시사점을 제공하고 있다. 첫째, 유사기업 선정시 현행 표준산업분류표보다는 주당수익 혹은 주당경상이익을 선정기준으로 사용했을 때 예측오차가 훨씬 줄어들고 있음을 보여주고 있다. 둘째, 비교기준가격산정시점이 상장시점에 근접할수록 예측오차는 더 적음을 보여주고 있다. 특히 P/E방식을 사용할 때 유사기업선정기준에 대한 본 연구의 결과는 금융선진국을 중심으로 한 선행연구결과와 일치하지 않고 있으며[Alford(1992), Kahle and Walkling(1996)], 우리 나라 공모주의 가격산정 및 기존 상장주식의 향후 비교가치 평가시에 반드시 고려될 필요가 있다고 본다.

• Journal of Digital Convergence
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• v.13 no.7
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• pp.47-55
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• 2015

In e-learning industry which represents the convergence of IT and education, the standard of e-learning content development cost has been calculated according to the guideline or standard of existing similar industries without considering the characteristics of the industry until today. The absence of contents development cost standard related to e-learning has been recognized as one of the most difficulties in e-learning industry. The calculation of the content development cost without reflecting the characteristics of e-learning industry has bad effects such as the degradation of content quality and development of e-learning industry, and the growth obstruction of them. This paper suggest a standard of development cost for e-learning content development considering the characteristics of e-learning industry. We analyse current problems and the characteristics in e-learning industry, and define the development cost standard. We propose the methodology for developing e-learning industry and for contributing quality improvement of e-learning content.

• Research in Community and Public Health Nursing
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• v.13 no.3
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• pp.574-583
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• 2002

'채석(quarrying)'산업은 노천광산에서 광물을 캐내는 작업을 모두 포함하는 광범위한 산업을 의미한다. 1900년대에 들어오면서 채석작업에 홈연소기(channel burner)을 이용한 불꽃절개법(flame cutting)이 이용하여 근로자의 먼지 노출이 많이 감소하였다. 채석작업으로 인한 주 된 건강문제는 먼지, 소음, 진동 노출이며, 노천작업장으로 작업환경이 개방되어 있어 환경측정 및 관리가 불가능하므로 개별근로자의 먼지와 소음 노출 측정 및 예방이 중요하다. 본 연구는 미국의 일개 채석회사의 근로자 건강관리사업을 평가하였다. 연구자료는 저자가 현장 방문을 통하여 구한 자료와 연구대상 회사의 안전관리자의 의견 및 미국 산업안전보건국 전산자료를 이용하였다. 채석사업장에서 이루어지는 작업은 크게 채석작업과 실내에서 이루어지는 가공작업 및 운반과 보관이며, 미국 산업안전보건국(OSHA)의 표준산업분류(SIC)에서 1411(채석업)과 3281(채석가공업)에 해당한다<표 1>. 연구 대상 사업장에서 이루어지는 산업보건프로그램은 먼지 노출 예방을 위해 석재 채취시 물분사법(water jet quarrying)과 국소환기법을 사용하고 소음 노출 예방을 위해 귀마개를 사용하며 사고 예방을 위하여 안전모와 철모, 보안경, 안전조끼, 보호장갑, 안전끈(harness)을 착용하였다. 평가 결과로 나온 연구 대상 사업장에서 적용하여야 할 산업보건 프로그램은 첫째, 먼지 노출로 인한 건강문제를 예방하기 위하여 근로자 개별 노출 측정을 하고, 둘째 실내가공작업장의 근로자를 대상으로 한 먼지와 소음 노출 측정 및 환경측정이 필요하며, 셋째 안전관리를 위해 채석장에 안전표지판을 설치하여야 하며, 실내가공 작업장의 자동이동시스템을 작업별로 채색하여 식별을 용이하게 하여야 하겠다. 또한 이 연구 결과를 영세사업장의 산업간호프로그램인 'Clean 3D'사업에서 적용하여 우리나라 채석사업장 근로자 건강관리를 발전시켜야 하겠다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.1
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• pp.70-77
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• 2021

This paper was reclassified industries related to the 4th industrial revolution into manufacturing, information and communication services, finance and insurance services, and science and technology services by comparing the industry association table with the Korean standard industry classification. And the economic ripple effect was analyzed by exogenizing the four sectors of the industry using a demand-driven model. The wholesale and retail and product brokerage services were measured to be large in the manufacturing, information communication services, and science technology service sector according as a result of analysis of the production inducement effect, added value inducement effect, and employment inducement effect. And the financial and insurance services were analyzed to be large in the financial and insurance services sector. The import inducement effect was analyzed to be the largest in all sectors of the fourth industry. As a result of the forward and backward linkage effect, it was confirmed that the manufacturing and the information communication services sector were the intermediate primary production type sensitive to economic fluctuations. Also it was confirmed that the financial and insurance services and the science technology services sector were the final primary production type.

• Journal of Cadastre & Land InformatiX
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• v.54 no.1
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• pp.33-48
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• 2024

This study aims to establish the scope and statistics of the K-address information industry in Korea, estimating its size and prospects and estimates the economic effects through K-address information industry based on Input-Output analysis. Considering the characteristics and sectoral structure of the K-address information industry, the study delineates the scope and specific sectors, constructing sectoral statistics linked to the KSIC and the Bank of Korea's industrial classification. The study estimates the sectoral industry size, taking into account potential markets. Furthermore, it analyzes the economic impact of each sector within the K-address information industry. To figure out the economic effects, the study conducts Input-Output analysis by setting the K-address information industry as an exogenous sector in the input-output table. The results indicate that the overall size of the K-address information industry is estimated to grow from 406.1 billion KRW in 2021 to 3.65 trillion KRW in 2030. The economic effects of the K-address information industry vary by sector, emphasizing the importance of synergies and integration with related sectors, particularly those with significant inducement effects in high value-added manufacturing and service sectors. Furthermore, the industry's sensitivity to economic fluctuations is evident through the input-output analysis of inter-industry chain effects.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.11a
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• pp.3-13
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• 2002

고석하 등(2002)은 인터넷 소매상이 상품 품목의 명목 가격과 배송료를 이용해서 고객의 일회 총 구매 비용을 조절한다는 것을 밝혔다. 고석하 등(2002)은 같은 내용의 상품 조합을 인터넷 시장에서 구매하기 위한 비용과 전통 시장에서 구매하기 위한 비용을 비교하였다. 분석 결과, 그 교호작용과 함께, 상품 종류와 일회 구매액/가격의 크기의 두 요소가 인터넷 시장의 전통 시장에 대한 총 구매비용 할인율의 변동의 약 60%내지 80%를 설명할 수 있다는 것을 보여주었다. 한편, 구매액/가격은 인터넷 시장에서의 해당 산포도(전통 시장의 그것에 대비한)에는 거의 영향을 미치지 못하며, 상품의 종류도 산포도에는 할인율에서와 같이 큰 영향을 미치지 않았다. 인터넷 시장의 가격이나 구매비용 산포도는 상품 특성이나 구매액 크기 이외의 다른 요인에 의해서 주로 영향을 받는 것으로 나타났다. 따라서, 본 논문에서는 가격 요인 이외의 경제적 경쟁요인에 관한 실증연구로서, 2002년 6월 17일부터 20일까지, 소프트웨어, PC와 주변기기, 휴대폰, 가전제품, CD, 화장품, 그리고 책의 7가지 산업 전문 쇼핑몰과 종합 쇼핑몰을 대상으로, 인터넷 시장에서 수행되고 있는 경제적인 비 가격 경쟁요인에 관한 실증 조사를 실시하였다. 조사 결과, 인터넷 시장에서 수행되고 있는 경제적인 비 가격 경쟁요인은 매우 다양하며, 상품별로도 다른 특성을 보이고 있는 것으로 밝혀졌다. 인터넷 소매상의 경제적인 비 가격 경쟁요인은 크게 배송료 면제와 배송료 외 인센티브 제도로 구분된다 본 논문에서는 경제적인 비 가격 경쟁요인의 모든 경우의 수를 고려할 수 있도록, 코드표를 작성하여 정리하고 분석하였다.전체 분석정보의 공유가 필수적으로 발생하게 됨으로, 유전체 정보와 임상정보의 통합은 미래 의료환경에 필수기능이 될 것이다. 3) 각 생명공학 연구소에서 사용하는 첨단 분석 장비와 생명공학 정보시스템의 자동 연계가 필요하다. 현재 국내에는 전국적인 초고속정보망이 가동되어 웹을 기반으로 하는 생명정보의 공유는 기술적으로 문제가 될 수 없으나 임상정보의 유전체연구에 그리고 유전체연구정보의 임상활용은 다양한 문제를 내포하고 있다. 이에 영상을 포함한 환자정보의 유전체연구센터와 병원정보시스템과의 효율적인 연계통합 운영을 위해 국내에서는 초기 도입단계에 있는 국제적인 보건의료정보의 표준인 Health Level 7 (textural information 공유), DICOM (image 및 wave 공유), 관련 ISO표준, WHO의 ICD9/10 (질병분류), LOINC (검사 및 관련용어), SNOMED International (의학용어) 등을 활용하여야 한다.matrix. The prediction system gives about 50% of sensitivity and 98% of specificity, Based on the PID matrix, we develop a system providing several interaction information-finding services in the Internet. The system, named PreDIN (Prediction-oriented Database of Interaction Network) provides interacting domain finding services and interacting protein

• Journal of Intelligence and Information Systems
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• v.26 no.3
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• pp.127-147
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• 2020

The world is suffering from numerous human and economic losses due to the novel coronavirus infection (COVID-19). The Korean government established a strategy to overcome the national infectious disease crisis through research and development. It is difficult to find distinctive features and changes in a specific R&D field when using the existing technical classification or science and technology standard classification. Recently, a few studies have been conducted to establish a classification system to provide information about the investment research areas of infectious diseases in Korea through a comparative analysis of Korea government-funded research projects. However, these studies did not provide the necessary information for establishing cooperative research strategies among countries in the infectious diseases, which is required as an execution plan to achieve the goals of national health security and fostering new growth industries. Therefore, it is inevitable to study information services based on the classification system and classification model for establishing a national collaborative R&D strategy. Seven classification - Diagnosis_biomarker, Drug_discovery, Epidemiology, Evaluation_validation, Mechanism_signaling pathway, Prediction, and Vaccine_therapeutic antibody - systems were derived through reviewing infectious diseases-related national-funded research projects of South Korea. A classification system model was trained by combining Scopus data with a bidirectional RNN model. The classification performance of the final model secured robustness with an accuracy of over 90%. In order to conduct the empirical study, an infectious disease classification system was applied to the coronavirus-related research and development projects of major countries such as the STAR Metrics (National Institutes of Health) and NSF (National Science Foundation) of the United States(US), the CORDIS (Community Research & Development Information Service)of the European Union(EU), and the KAKEN (Database of Grants-in-Aid for Scientific Research) of Japan. It can be seen that the research and development trends of infectious diseases (coronavirus) in major countries are mostly concentrated in the prediction that deals with predicting success for clinical trials at the new drug development stage or predicting toxicity that causes side effects. The intriguing result is that for all of these nations, the portion of national investment in the vaccine_therapeutic antibody, which is recognized as an area of research and development aimed at the development of vaccines and treatments, was also very small (5.1%). It indirectly explained the reason of the poor development of vaccines and treatments. Based on the result of examining the investment status of coronavirus-related research projects through comparative analysis by country, it was found that the US and Japan are relatively evenly investing in all infectious diseases-related research areas, while Europe has relatively large investments in specific research areas such as diagnosis_biomarker. Moreover, the information on major coronavirus-related research organizations in major countries was provided by the classification system, thereby allowing establishing an international collaborative R&D projects.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.23-46
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• 2017

Although there have been cases of evaluating the value of specific companies or projects which have centralized on developed countries in North America and Europe from the early 2000s, the system and methodology for estimating the economic value of individual technologies or patents has been activated on and on. Of course, there exist several online systems that qualitatively evaluate the technology's grade or the patent rating of the technology to be evaluated, as in 'KTRS' of the KIBO and 'SMART 3.1' of the Korea Invention Promotion Association. However, a web-based technology valuation system, referred to as 'STAR-Value system' that calculates the quantitative values of the subject technology for various purposes such as business feasibility analysis, investment attraction, tax/litigation, etc., has been officially opened and recently spreading. In this study, we introduce the type of methodology and evaluation model, reference information supporting these theories, and how database associated are utilized, focusing various modules and frameworks embedded in STAR-Value system. In particular, there are six valuation methods, including the discounted cash flow method (DCF), which is a representative one based on the income approach that anticipates future economic income to be valued at present, and the relief-from-royalty method, which calculates the present value of royalties' where we consider the contribution of the subject technology towards the business value created as the royalty rate. We look at how models and related support information (technology life, corporate (business) financial information, discount rate, industrial technology factors, etc.) can be used and linked in a intelligent manner. Based on the classification of information such as International Patent Classification (IPC) or Korea Standard Industry Classification (KSIC) for technology to be evaluated, the STAR-Value system automatically returns meta data such as technology cycle time (TCT), sales growth rate and profitability data of similar company or industry sector, weighted average cost of capital (WACC), indices of industrial technology factors, etc., and apply adjustment factors to them, so that the result of technology value calculation has high reliability and objectivity. Furthermore, if the information on the potential market size of the target technology and the market share of the commercialization subject refers to data-driven information, or if the estimated value range of similar technologies by industry sector is provided from the evaluation cases which are already completed and accumulated in database, the STAR-Value is anticipated that it will enable to present highly accurate value range in real time by intelligently linking various support modules. Including the explanation of the various valuation models and relevant primary variables as presented in this paper, the STAR-Value system intends to utilize more systematically and in a data-driven way by supporting the optimal model selection guideline module, intelligent technology value range reasoning module, and similar company selection based market share prediction module, etc. In addition, the research on the development and intelligence of the web-based STAR-Value system is significant in that it widely spread the web-based system that can be used in the validation and application to practices of the theoretical feasibility of the technology valuation field, and it is expected that it could be utilized in various fields of technology commercialization.