• Journal of Technology Innovation
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• v.15 no.2
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• pp.211-235
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• 2007

The paper establishes a policy classification system in order to classify and evaluate the science and technological innovation policies in Korea. We rebuild an innovation system model based on the national innovation system(NIS) concept. The model consists of human capital infrastructure(HCI), institutional infrastructure(II), technological infrastructure(TI), technology market(TM), industrial organization(IO), and innovation networks(IN). We give these 6 components of the modified system 1-digit number, respectively. Then we build the sub-systems according to these components, classify the policy categories in more detail, and finally complete the 3-digit policy classification table. This policy classification table may be useful in studying the science and technological innovation policy in both theoretical and empirical aspects. For example, the table can be the tool to examine the program portfolio profile(PPP) or to implement the questionary survey on the actual policies.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.143-150
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• 2012

In Korea more than 38,000 types of hazardous material(HAZMAT) are distributed, accordingly the accidents during transportation are also increasing. The agencies related to HAZMAT such as Environment Ministry, National Emergency Management Agency and National Police Agency have their own regulations. However, the classification criteria of HAZMAT are different to each other, which causes many problems in response to transportation accidents. In this study the classification standard of HAZMAT and the classification code using CAS number are suggested to manage HAZMAT efficiently. Through efficient management and standard classification of HAZMAT, the rapid and systematic response to transportation accidents related to HAZMAT is expected to be possible.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.2
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• pp.286-296
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• 2007

In this paper, we have proposed on the Matching Table of 'Type of If Business - Class of IT Techniques' to train If manpower as an educational-industrial cooperation. The Type of If Business(TITB) are classified according to ${\triangle}$IT Services, ${\triangle}$IT Devices, and ${\triangle}$Software & Computer related Services which are guided by KAIT(Korea Association of Information & Telecommunication). The Class of IT Techniques(CITT) are brought from IITA(Institute for Information Technology Advancement). We have suggested on the element techniques from the Class of If Techniques(CITT) according to the Type of IT Business(TITB) and proposed an educational-industrial cooperation program to line up 'Type of IT Business(TITB) - Class of IT Techniques(CITT) - University(Department/Major)'. The deduction process of the core education program is presented to show the educational-industrial cooperation between company(Type of IT Business : Digital Contents Development Service) and university(Major of Multimedia & Contents) in the Busan area. The Matching Table of 'Type of IT Business(TITB) - Class of IT Techniques(CITT)' varies as the way of classification according to IT Business and IT Techniques. The research on the real and exact Matching Table of 'Type of IT Business(TITB) - Class of IT Techniques(CITT)' is necessary for educational-industrial cooperation by the trends of techniques and the changes of IT market share.

• Journal of the Korea Safety Management & Science
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• v.25 no.2
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• pp.167-174
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• 2023

Currently, the budget for vocational competency development training has been expanded, but the number of participants has decreased. As the budget for the Vocational Competency Development Project increases, the participation of a large number of people becomes necessary. This study aims to derive factors that affect satisfaction by selecting factors related to respondent characteristics, training institutions, training types, and job performance for satisfaction with vocational competency development training, and to study ways to improve satisfaction. Data were collected through focus group interviews (FGI), and logistic regression analysis was conducted through feasibility review and reliability analysis. As a result, in the case of the model, it was confirmed that the degree of agreement between the case actually measured and the case predicted by the model was low in the Hosmer and Lemeshow test, but the overall classification accuracy was classified as 96.0% in the classification accuracy table. As for the influence of the factors, the result was derived that the application of knowledge technology, training institution facility equipment, Business Collaboration, long-term work plan, and satisfaction with work performed have an influence in the order.

• 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 Intelligence and Information Systems
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• v.24 no.3
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• pp.221-241
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• 2018

As we enter the knowledge society, the importance of information as a new form of capital is being emphasized. The importance of information classification is also increasing for efficient management of digital information produced exponentially. In this study, we tried to automatically classify and provide tailored information that can help companies decide to make technology commercialization. Therefore, we propose a method to classify information based on Korea Standard Industry Classification (KSIC), which indicates the business characteristics of enterprises. The classification of information or documents has been largely based on machine learning, but there is not enough training data categorized on the basis of KSIC. Therefore, this study applied the method of calculating similarity between documents. Specifically, a method and a model for presenting the most appropriate KSIC code are proposed by collecting explanatory texts of each code of KSIC and calculating the similarity with the classification object document using the vector space model. The IPC data were collected and classified by KSIC. And then verified the methodology by comparing it with the KSIC-IPC concordance table provided by the Korean Intellectual Property Office. As a result of the verification, the highest agreement was obtained when the LT method, which is a kind of TF-IDF calculation formula, was applied. At this time, the degree of match of the first rank matching KSIC was 53% and the cumulative match of the fifth ranking was 76%. Through this, it can be confirmed that KSIC classification of technology, industry, and market information that SMEs need more quantitatively and objectively is possible. In addition, it is considered that the methods and results provided in this study can be used as a basic data to help the qualitative judgment of experts in creating a linkage table between heterogeneous classification systems.

• Journal of Internet Computing and Services
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• v.21 no.3
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• pp.71-81
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• 2020

The digital bio-healthcare industry is one of the three major fostering industries of the Korean Moon Jae-In government. The purpose of this study is to compare and analyze the ripple effect and investment effect in digital bio-healthcare industry. Analyzing the ripple effects of the digital bio-healthcare industry is very important to induce policies on industry and technology development. First, the research methods were reclassified into 33 industries in the standard industry classification and rewritten into 35 industry classification tables. Second, various trigger coefficients and ripple effects coefficients were rewritten by the analysis framework of the industrial association table. Third, we compared the ripple effects of related industries in the production, investment, value-added and jobs sectors of the digital bio-healthcare industry. Finally, in terms of investment effects, the effects of in-house and related industries were compared. The result of this study would be helpful in the establishment of industrial policy and technology development policy.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.1
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• pp.84-90
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• 2023

ASL estimation of public building is based on how appropriate the maximum age of the asset is derived based on the age record of the asset in the statistical data owned by public institutions. This is because we get a 'constrained' ASL by that number. And it is especially true because other studies have assumed that the building is an Iowa curve R3. Also, in this study, the survival rate is 1% as the threshold value at which the survival curve and the predictable life curve almost coincide. Rather than a theoretical basis, in the national statistical survey, the value of residual assets was recognized from the net value of 10% of the acquisition value when the average service life has elapsed, and 1% when doubling the average service life has elapsed. It is based on the setting mentioned above. The biggest constraint in fitting statistical data to the Iowa curve is that the maximum ASL is selected at R3 150%, and the 'constrained' ASL is calculated by the proportional expression on the assumption that the Iowa curve is followed. In like manner constraints were considered. First, the R3 disposal curve for the RCC(reinforced cement concrete) building was prepared according to the discarding method in the 2000 work, and it was jointly worked on with the National Statistical Office to secure the maximum amount of vintage data, but the lacking of sample size must be acknowledged. Even after that, the National Statistical Office and the Bank of Korea have been working on estimating the Iowa curve for each asset class in the I-O table. Another limitation is that the asset classification uses the broad classification of buildings as a subcategory. Second, if there were such assets with a lifespan of 115 years that were acquired in 1905 and disposed of in 2020, these discarded data would be omitted from this ASL calculation. Third, it is difficult to estimate the correct Iowa curve based on the stub-curve even if there is disposal data because Korea has a relatively shorter construction history, accumulated economic wealth since the 1980's. In other words, "constrained" ASL is an under-estimation of its ASL. Considering the fact that Korea was an economically developing country in the past and during rapid economic development, environmental factors such as asset accumulation and economic ability should be considered. Korea has a short period of accumulation of economic wealth, and the history of 'proper' architectures faithful to building regulations and principles is short and as a result, buildings 'not built properly' and 'proper' architectures are mixed. In this study, ASL of RCC public building was estimated at 70 years.

• Journal of Korea Technology Innovation Society
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• v.17 no.4
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• pp.651-672
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• 2014

Under the diagnosis of low employment rate and low growth, the government regards the creation of new jobs through the creative and innovative R&D as an important national plans. This study attempts to measure the employment creation effect of R&D investment of industrial technology by using input-output analysis used in domestic and international broadly. The employment effect can be divided into employment inducement effect and direct employment effect. As a result of the analysis, The employment creation effect of R&D investment of government industrial technology is measured to be 8-12 peoples per 1 billion KRW investment. This results mean that government R&D investment is a effective policy for employment creation. And it is necessary to establish R&D policies that reflect the technical characteristics of the employment creation effect. In short term, it is important that the government invest the superior technology of total employment and direct employment as essential means of employment creation by selection and concentration strategy. In mid-long term, the government should focus on technology spread as technology transfer and opening innovation strategy for employment creation to support superior technology of employment inducement. The results of this study can be used in analysis on the employment creation effect related to industrial technology R&D.

• Journal of Korea Technology Innovation Society
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• v.18 no.3
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• pp.387-415
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• 2015

In this study, we have proposed an estimation model of domestic market size using the linking between standard statistical classification systems, and reviewed the practical applicability of the model. The results of the mining and manufacturing survey of Statistics Korea conducted on the basis of KSIC (Korea Standard Industrial Classification) and Korea trade statistics based on HS (The Harmonized Commodity Description and Coding System; Harmonized System) classification were linked for the model by using the correspondence tables provided by Statistics Korea and United Nations Statistics Division. The most serious problem to adopt the integrated KSIC-ISIC-HS correspondence table for the estimation of domestic market size is the complex multiple linkages among KSIC and HS codes. In this study, we have suggested the method to divide the amount of trade corresponding to the HS codes linked to more than two ISIC codes based on the ratio of shipments corresponding to the ISIC codes as the weight. Then, it is possible to analyze the domestic market size of 125 ISIC codes in the manufacturing industry and to forecast the market size in the near future by using the model. Although the model has some limitations such as the difficulty in analysis on more subdivided items than ISIC items, the impossibility of the analysis on items in industries except for manufacturing, errors in the shipment due to some missing data, this study has significance in the sense that it provided the analysis method of domestic market size by using the most objective, reliable and sustainably useful data.