• KIPS Transactions on Computer and Communication Systems
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• v.3 no.8
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• pp.271-276
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• 2014

This study analyzed that N/A check items affect the results of the security level degree, when performing vulnerability analysis evaluation. For this, we were used vulnerability analysis evaluation range, check items and quantitative calculation method. Furthermore, were applied grade and weight for the importance of the items. In addition, because technology develop rapidly, the institution is always exposed risk. therefore, this study was carried out empirical analysis by applying RAL(Risk Acceptabel Level). According to the analyzed result N/A check items factors affecting the level of security has been proven. In other words, this study found that we shall exclude inspection items irrelevant to the institution characteristics, when perform vulnerability analysis evaluation. In this study suggested that security level evaluation shall performed, after that exclude items irrelevant to the institution characteristics based on empirical verification. And also, it proposed that model research is required for establish check items for which analysis-evaluate vulnerability based on empirical verification.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.8
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• pp.3417-3426
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• 2012

This study aims to determine how ownership structure (share-holding ratio of insiders, foreigners) affects agent costs (the portion of asset efficiency or non-operating expenses) through empirical analysis. However, as existing studies on correlations between ownership structure and agent costs adopted Pooled OLS Model, this study focused on additionally formulating Fixed Effect Model and Random Effect Model aimed to reflect the time of data formation and corporate effects as study models based on verification results on the suitability of Pooled-OLS Model before comparative analysis for the purpose of improvement of credibility and statistical validity of the results of empirical analysis based on the premise that the Pooled OLS Model is not reliable enough to verify massive panel data. The data has been accumulated over 10 years from 1998 to 2007 after the IMF crisis hit the nation, from a subject 331 companies except for financial institutions. As a result of the empirical analysis, verification of the suitability of model has determined that the Random Effect Model is appropriate in terms of asset efficiency among agent costs items. On the other hand, the Fixed Effect Model is appropriate in terms of non-operating costs. As a result of the empirical analysis according to the appropriate model, no hypothesis adopted in the Pooled OLS Model has been accepted. This suggests that developing an appropriate model is more important than other factors for the purpose of generating statistically significant empirical results by showing that different empirical results are produced according to the type of empirical analysis.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.21 no.5
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• pp.393-399
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• 2011

An empirical formula proposed by Petersson and Plunt(PP's formula) and finite element analysis for impedance calculation of ship equipment foundations are investigated by comparing the analysis results with those of experimental results. The PP's formula well estimates resonant frequency of the foundations and impedance level except around the resonant region although the impedance level around the resonant frequency is heavily dependent upon the assumed loss factor. The results show that the PP's formula and finite element models can be complementarily used to estimate the impedance characteristics of various types of foundation of ships in design stage.

• Fire Science and Engineering
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• v.18 no.3
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• pp.9-17
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• 2004

The values of physical properties of the inert gases of Ar, $N_2$, $CO_2$ were calculated by the empirical equations. The regression coefficients were obtained by the experimental data and the resulting calculated values. For the empirical equation with a lower regression coefficient, a new correlation was suggested. At an atmosphere pressure, the empirical equation was confirmed by the experimental values for the viscosity, density, saturated pressure, and surface tension of Ar, $N_2$, $CO_2$. The correlation coefficients of the empirical equations proposed in this work was higher than 0.99.

• Journal of Venture Innovation
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• v.3 no.2
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• pp.41-76
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• 2020

This study confirmed factors affecting smart factory technology acceptance through empirical analysis. It is a study on what factors have an important influence on the introduction of the smart factory, which is the core field of the 4th industry. I believe that there is academic and practical significance in the context of insufficient research on technology acceptance in the field of smart factories. This research was conducted based on the Unified Theory of Acceptance and Use of Technology (UTAUT), whose explanatory power has been proven in the study of the acceptance factors of information technology. In addition to the four independent variables of the UTAUT : Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Government Assistance Expectancy, which is expected to be an important factor due to the characteristics of the smart factory, was added to the independent variable. And, in order to confirm the technical factors of smart factory technology acceptance, the Task Technology Fit(TTF) was added to empirically analyze the effect on Behavioral Intention. Trust is added as a parameter because the degree of trust in new technologies is expected to have a very important effect on the acceptance of technologies. Finally, empirical verification was conducted by adding Innovation Resistance to a research variable that plays a role as a moderator, based on previous studies that innovation by new information technology can inevitably cause refusal to users. For empirical analysis, an online questionnaire of random sampling method was conducted for incumbents of domestic small and medium-sized enterprises, and 309 copies of effective responses were used for empirical analysis. Amos 23.0 and Process macro 3.4 were used for statistical analysis. For accurate statistical analysis, the validity of Research Model and Measurement Variable were secured through confirmatory factor analysis. Accurate empirical analysis was conducted through appropriate statistical procedures and correct interpretation for causality verification, mediating effect verification, and moderating effect verification. Performance Expectancy, Social Influence, Government Assistance Expectancy, and Task Technology Fit had a positive (+) effect on smart factory technology acceptance. The magnitude of influence was found in the order of Government Assistance Expectancy(β=.487) > Task Technology Fit(β=.218) > Performance Expectancy(β=.205) > Social Influence(β=.204). Both the Task Characteristics and the Technology Characteristics were confirmed to have a positive (+) effect on Task Technology Fit. It was found that Task Characteristics(β=.559) had a greater effect on Task Technology Fit than Technology Characteristics(β=.328). In the mediating effect verification on Trust, a statistically significant mediating role of Trust was not identified between each of the six independent variables and the intention to introduce a smart factory. Through the verification of the moderating effect of Innovation Resistance, it was found that Innovation Resistance plays a positive (+) moderating role between Government Assistance Expectancy, and technology acceptance intention. In other words, the greater the Innovation Resistance, the greater the influence of the Government Assistance Expectancy on the intention to adopt the smart factory than the case where there is less Innovation Resistance. Based on this, academic and practical implications were presented.

• Journal of the Korea Safety Management & Science
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• v.17 no.3
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• pp.297-306
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• 2015

The purpose of this thesis is to contribute in establishing the objectives of government policies through an empirical analysis on the relational characteristics surrounding the self-employed creative enterprises under the current circumstances where the specific empirical studies on the self-employed creative enterprises haven't been performed. According to the result of verification, the social capitals such as reliability, reciprocity and network are necessary due to the characteristics possessed by the self-employed creative enterprises while the reliability between cooperative enterprises is created and the cooperative relationship continues when the enterprises are faithful to their intrinsic activities such as the improvement of productivity rather than the entrepreneur spirit. Such win-win cooperation was eventually shown as having a positive effect on the performance of enterprises.

• International Commerce and Information Review
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• v.10 no.4
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• pp.495-512
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• 2008

Because Korea and Japan has joined WTO and OECD, it is impossible to carry out a direct export-promoted policy such as export subsidies. Therefore, the only policy which is internationally valid for promoting an export is the export insurance. Hence export insurance system became more useful tool since it's one of the few allowed subsidies under WTO. This paper examines to find the impacts of export insurance on the export supply in Korea and Japan. The period of data is from 1980 to 2006. Unlike previous studies on the effectiveness of export subsidy in export supply, the current study examines the stationarity nature of the concerned variables. The unit root tests show that all variables are not I(0) Time Series. Instead, they are I(1) Time Series. To this, cointegration verification was conducted based on the use of Johansen verification method to define the existence (or non-existence) of long-term balance relationship among variables. The concerned variables are revealed to be cointegrated. In order to analyze, this study introduce a VEC model. In this paper we construct two VEC models. The one is about Korea, the other is about Japan. The empirical evidences show that export insurance system has not contributed to promoting export supply in Japan. But the results of empirical analysis showed significant and positive effects of Korea export insurance upon the export supply.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.849-857
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• 2014

Occupational Stress is defined the stress which occurs in the workplace or organization. In Korean workers, the rate of occupational stress was 87.8% which was the highest level among OECD countries(average 80.0%). The purpose of this study was to examine the empirical verification of the Korean Occupational Stress Scale(KOSS) in physical therapists. For this purpose, the subject of this study was set up physical therapists who were working at Gyeonggi province and collected from 388 persons by using purposive sampling. The collected data was conducted explanatory factor analysis and confirmatory factor analysis in order to ascertain factor structure and practical verification of KOSS. Major results were as following: first, the reliability of KOSS was 0.83, and it means that a measure of internal consistency is high. Second, the KOSS result of physical therapists was composed 7 subscales(job demand, insufficient job control, job insecurity, interpersonal conflict, occupational system and lack of reward, organizational climate) and that is more appropriate measurement scale than the original one by using explanatory/confirmatory factor analysis. This study could be contributed as a tool for evaluation and outcome of the basic information of related occupational stress in physical therapists.

• International Commerce and Information Review
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• v.16 no.5
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• pp.295-315
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• 2014

This paper attempts to reveal the relationships between vulnerability, FTA barrier, verification factors and origin performance. According to precedent studies, Our study analysed 104 cases from Korean companies which adopted a rules of origin and then developed a structural equation model. As a result of the model test, this empirical study found that vulnerability have a negatively significant influence on origin verification. Second, there was a positive relationship among origin verification and origin performance. Through the results of this study are the first company in order to enhance competitiveness, improve understanding of the rules of origin, must go to deal jointly with partner companies. Second, to establish a process for the origin of the goods to prove this systematic and should be managed in an orderly fashion. Country of origin verification system of corporate -level internal factors and external factors, separated by a study to assess the level of the enterprise for internal and external is determined that you need.

• Computers and Concrete
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• v.31 no.6
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• pp.545-559
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• 2023

In this study, an experimental investigation was conducted to assess the influence of ground granulated blast furnace slag (GGBS) and silica fume (SF) on the fresh and hardened properties of grout specimens and preplaced aggregate concrete (PAC). Grout proportions were optimized statistically using a factorial design and were applied to 10 mm and 20 mm coarse aggregates to produce PAC. The results demonstrate that GGBS has a more significant effect on the compressive strength of grout compared to SF, with a small increase or decrease in the GGBS content having a greater influence on the compressive strength of grout than SF. The water to binder ratio had the most significant effect on the compressive strength of PAC, followed by the coarse aggregate size and sand to binder ratio. An empirical relationship to predict the compressive strength of PAC was proposed through an experimentally derived factorial design along with a statistical analysis of collectively obtained data and a deep literature review. The results predicted by the empirical relationship were in good agreement with those of PAC produced for verification.