• Ocean and Polar Research
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• 제38권1호
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• pp.59-70
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• 2016

Establishing the strategic plans to foster the oceans and fisheries (O&F) industry as an engine for national sustainable economic growth has become an important task for developing countries as well as developed countries. The first step to do so is to identify O&F industry and analyze its economic effects. Therefore, the prime purposes of the paper are two-fold. The first is to identify O&F industry and estimate its market size using 2012 Input-Output (I-O) table published by the Bank of Korea. The second purpose is to obtain some quantitative information on production-inducing effect, value-added creation effect, and employment-inducing effect of the O&F industry. To this end, we apply an IO analysis using exogenous specification of the O&F industry. The results show that the O&F industry covers 4.1% and 3.0% of national output and gross domestic product, respectively. Moreover, we found that 1.0 won of production or investment in the O&F industry induces 1.7363 won of production and 0.4759 won of value-added in the national economy. One billion won of production or investment in the O&F industry touches off 7.5569 persons of employment. This information can be utilized in the O&F industry-related policy-making.

• International Journal of Knowledge Content Development & Technology
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• 제5권2호
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• pp.65-74
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• 2015

The paper lists problems in defining information and knowledge and also in differentiating between the two. It separately describes physical, economic and cognitive properties of information and knowledge. A long drawn comparative chart of the nature, characteristics and properties of knowledge and information is given. In addition it explains their relation with wisdom. The paper emphasizes that knowledge is only a human preserve. Also it finds common grounds and mutual dependence between information, knowledge and wisdom. The purpose is to clear confusion between knowledge and information, and find their relation with wisdom and tradition by placing these in value added and evolutionary chain: Signals--data-- Information--Knowledge--Wisdom--Tradition.

• 산업경영시스템학회지
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• 제23권57호
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• pp.11-20
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• 2000

In dynamic management environment, CEO must make an efficient decision with information & knowledge management systems based on IT(Information Technology). As a key component to cope with this current, we suggest the business performance analysis system based on KDD(Knowledge Discovery in Databases). We consider the theoretical model that is composited both Value-Added in respect of stakeholder and Economic Value-Added in respect of shareholder. Additionally we use DBMS and data mining method using Genetic Algorithms as physical model. To demonstrate the performance of the business performance analysis system, we analyse a domestic motors industry. The empirical case is based on the financial data of KISFAS(Korea Investors Services Financial Analysis System) database. The samples included in the study consist of H motors/S motors industry over the 16-year from 1981 to 1996.

• 수산경영론집
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• 제42권1호
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• pp.85-96
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• 2011

We have done the input-output analysis to see the over all impact of flounder industry of Jeju region on the domestic economy of Korea. To do the input-output analysis, we have constructed the data set for the input-output table by using the existing data set in the "2003 input- output table of Jeju regional area" published by the joint work of Jeju branch of Korea bank and the Jeju Development Institute, together with some raw data provided by Jejudo Marine Fish-Culture Cooperative. We have also produced input coefficient of flounder industry by making flounder industrial sector exogenous, separated from intermediate demand. To summarize our empirical results, the inducement effect of production, value added, and employment of Jeju flounder aquaculture industry are 300 billion won, 116 billion won and 1,800 people respectively. In conclusion, the results of this study suggest flounder industry of Jeju region contributes powerfully to not only Jeju economy but also all over the Korea economy.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2004년도 춘계학술대회
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• pp.575-592
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• 2004

In modern dynamic management environment, there is growing recognition that? information & knowledge management systems are essential for CEO's efficient/effective decision making. As a key component to cope with this current, we suggest the management performance analysis syystem based on Knowledge Discovery in Database (KDD). The system measures management performance that is considered with both VA(Value- Added), which represents stakeholder's point of view and EVA(Economic Value-Added), which represents shareholder's point of view. The relation ship between management performance and some 80 financial ratios is analyzed, and then important financial ratios are drawn out. In analyzing the relationship, we applied KDD process which includes such as multidimensional cube, OLAP(On-Line Analytic Process), data mining and AHP(Analytic Hierarchy Process). To demonstrate the performance of the system, we conducted a case study using financial data over the 16-years from 1981 to 1996 of Korean automobile industry which is taken from database of KISF AS(Korea Investors Services Financial Analysis System).

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2003년도 창립학술대회
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• pp.191-210
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• 2003

In modern dynamic management environment, there is growing recognition that information & knowledge management systems are essential for CEO's Efficient/effective decision making, As a key component to cope with this current, we suggest the management performance analysis system based on Knowledge Discovery in Database (KDD). The system measures management performance that is considered with both VA(Value-Added), which represents stakeholder's point of view and EVA(Economic Value-Added), which represents shareholder's point of view, The relationship between management performance and some 80 financial ratios is analyzed, and then important financial ratios are drawn out. In analyzing the relationship, we applied KDD process which includes such as multidimensional cube, OLAP(On -Line Analytic Process), data mining and AHP(Analytic Hierarchy Process). To demonstrate the performance of the system, we conducted a case study using financial data over the 16-years from 1981 to 1996 of Korean automobile industry which is taken from database of KISFAS(Korea Investors Services Financial Analysis System).

• 한국항해항만학회지
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• 제30권4호
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• pp.303-308
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• 2006

This study is designed to analyze the production, employment, value added and income impacts tha, in the event of designation and development of Haeundae as 'Convention, Movie, Marine Leisure Special Zone', its marine sector would have on the local economy. The realization of marine leisure special zone of Haeundae in Busan is expected to lead to a direct and indirect investment of approx. \13.6 billion, resulting in \68.0 billion in production impact, 850 jobs in employment impact, \28.0 billion in value added impact and \14.5 billion in income impact. This is expected to give a boost to a stagnant local economy, offering opportunities for the revival of Busan's tourist industry.

• 산업공학
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• 제14권2호
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• pp.164-171
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• 2001

We suggest a Business Performance Information System with Knowledge Discovery in Databases(KDD) as a key component of integrated information and knowledge management system. The proposed system measures business performance by considering both VA(Value-Added), which represents stakeholder's point of view and EVA(Economic Value-Added), which represents shareholder's point of view. In modeling of Business Performance Information System, we apply the following KDD processes : Data Warehouse for consistent management of a performance data, On-Line Analytic Processing(OLAP) for multidimensional analysis, Genetic Algorithms for exploring and finding dominant managing factors and Analytic Hierarchy Process(AHP) for applying expert's knowledge and experience. To demonstrate the performance of the system, we conducted a case study using financial data of Korean automobile industry over 16 years from 1981 to 1996, which is taken from database of KISFAS(Korea Investors Services Financial Analysis System).

• 한국건설관리학회논문집
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• 제15권3호
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• pp.120-127
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• 2014

최근 복지부문에 대한 관심이 커지면서, 복지 예산은 증가하고 SOC투자에 대한 예산은 감소하는 추세이다. 그리고 도로 중심으로 투자되던 과거 SOC 투자패턴에서 철도 등 다른 부문의 투자를 늘리는 부문간 조정도 이루어지고 있다. 따라서 본 연구에서는 산업연관분석을 통해 부문별 SOC투자의 경제적 파급효과를 분석해 보았다. 도로, 철도, 항만, 공항 등 부문별 생산유발, 부가가치유발, 고용유발효과를 각각 비교 분석하였다. 실증분석 결과 먼저 건설단계에서 SOC 투자의 경제적 파급효과는 대부분 제조업 보다 큰 것으로 나타났다. 건설단계에서 생산유발효과는 철도부문 SOC가 가장 크게 나타났으며, 항만 및 도로부문의 SOC 투자는 부가가치 유발효과가 큰 것으로 나타났다. 특히 도로 SOC 투자의 고용유발 계수는 건설 및 운영단계에서 압도적으로 높은 수준으로 분석되었다. 분석결과가 시사하는 바는 다음과 같다. 먼저, 경제적 파급효과라는 측면에서는 SOC 투자는 지속되어야 하며 제고되어야 한다. 특히 고용문제를 생각한다면 도로를 중심으로 한 SOC투자는 필수적이다. 그리고 정부가 부가가치 유발 또는 생산유발 어디에 중점을 둘 것인지에 따라 SOC 부문간 투자조정은 달라질 것 같다. 생산유발효과를 극대화하려면 철도부문, 부가가치 유발을 높이려면 항만부문을, 고용 유발을 위해서는 도로부문 투자에 초점을 맞추어야 할 것이다.

• 보건행정학회지
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• 제30권4호
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• pp.438-443
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• 2020

The digital treatment technology industry is one of the core fostering industries of the Moon Jae-in government along with the global trend. The purpose of this study is to compare and analyze the investment and economic ripple effect on the related industries. To this end, we used the industry-related table, which is the actual measurement data for 2015 that the Bank of Korea actually measured and released every 5 years in 2019. The digital treatment technology industry was not clearly classified within Korea's industrial classification system, so the contents of the industry-related survey were analyzed, and the digital treatment technology industry was reclassified and then analyzed. As a result of the analysis, it was analyzed that the production induction effect of the digital treatment technology-related industry in 2015 was 1.770, the value-added induction effect was 0.875, and the employment induction effect was 19.128, which was higher than that of other industries in Korea. As a result of the analysis of the economic ripple effect (scenario 1), the production inducing effect was about 370 billion won, the added value inducing effect was about 185 billion won, and the employment inducing effect was 4,044 people. The results of this study are expected to play a large role in economic revitalization as the effect of inducing production, increasing employment, and creating added value through fostering the digital treatment technology industry is expected to play a large role in activating the economy. It is expected to play a large role in providing central medical services. Therefore, it is expected that policy support for revitalizing the digital treatment technology industry through active investment support and tax benefits from the government to foster the digital treatment technology industry is necessary.