• 한국식품영양학회지
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• 제24권4호
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• pp.501-508
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• 2011

Previous studies suggest that polyunsaturated fatty acids with long carbon chains such as eicosapentaenoic acid(EPA) and docosahexaenoic acid(DHA) have several health benefits. However metabolic consequences of these fatty acids themselves and their regulation of transcriptional activity involving glucose utilization are not well established. Thus, the purpose of this study was to investigate how EPA influx affects cellular lipid accumulation and gene expressions involving $de$ $novo$ lipogenesis in hepatocyte cultures. Compared to oleic acid treatment, EPA treatment showed remarkably decreased cellular TG conversion and accumulation, along with phospholipids at a lower extent. As expected, EPA increased mRNA expression involving fatty acid influx and lipid droplet formation, but did not affect mRNA expression involving glucose utilization. EPA increased transcriptional activity of PPAR-${\alpha}$ and glucose responsive transcription factor when transcription factor binding protein was activated. Taken together, these data suggest that EPA decreases lipid accumulation through increases of the ${\beta}$-oxidation pathway without interruption of glucose utilization.

• 대한지역사회영양학회지
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• 제6권1호
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• pp.91-96
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• 2001

The purpose of this study was to identify the determinants of nutrition service utilization in health centers. Utilization of nutrition services for chronic discase were also investigated. Interview survey using questionnaire was conducted to collect the data required for analysis. The study subjects were 300 residents over 40 years of age, and 15 health workers representing health center service personnel in Kypnggi province. A wilcoxon 2-sample test and Kruskal-Wallis test were used to compare the distribution of health centers by health center characteristics and nutrition services. A chi-square test was used to test the association between service utilization and personal variables of the population. A multiple logistic regression analysis was used to measure the relative importance between the variables on service utilization. The results showed that only 10.0% of the study subjects used nutrition services provided by the health centers. Pilot project implementation and location of health centers, as well as educational level of the residents were significant factors influencing the utilization of the nutrition services provided by the health centers. Among the variables, pilot project implementation was the most important factor that influenced the nutrition service utilization in health centers.

• Journal of Information Technology Applications and Management
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• 제22권4호
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• pp.205-224
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• 2015

Information System is a critical success factor for overcoming the limitations of asset and capacity of Small and Medium Enterprises (SME), and for acquiring competitiveness. Although, the rate of adopting information system by SME has grown, the rate of its utilization has been stagnant. The purpose of this study is to identify the influencing factors that increase SME's information system utilization. We identify perception of strategic value, supplier's support capacity, and organizational characteristic by examining previous researches on information system utilization by SMEs, and verify their the influencing relationship with the information system utilization. This study verifies the research model and hypothesis using structural model. A date-set of 1209 samples from a survey on employees in charge of information system of SME was applied in verifying the research hypothesis. The result of this study shows that the information system utilization influences perception of strategic value and support of supply company, and partly, the structural characteristics. This study presents directions to establish strategy and policy making, and theoretically presents core factors of SME's information system utilization.

• 대한간호학회지
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• 제40권6호
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• pp.903-912
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• 2010

Purpose: This study was conducted to examine whether the level of classification for long-term care service under longterm care insurance reflects resource utilization level for residents in nursing homes. Methods: From 2 long-term care facilities, the researchers selected 95 participants and identified description and time of care services provided by nurses, certified caregivers, physical therapists and social workers during a 24-hr-period. Results: Resource utilization level was: 281.04 for level 1, 301.05 for level 2 and 270.87 for level 3. Resource utilization was not correlated with level. Differences in resource utilization within the same level were similar with the coefficient of variance, 22.7-27.1%. Physical function was the most influential factor on long-term care scores (r=.88, p<.001). The level for long-term care service did not reflect differences in resource utilization level of residents on long-term care insurance. Conclusion: The results of this study indicate that present grading for long-term care service needs to be reconsidered. Further study is needed to adjust the long-term care classification system to reflect the level of resource utilization for care recipients on the long-term care insurance.

• Journal of Korea Trade
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• 제23권4호
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• pp.131-148
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• 2019

Purpose - Based on the Korea-China FTA as the starting point, this paper makes an empirical analysis of the main influencing factors of the FTA utilization and performance of SMEs. Design/methodology - Taking into account the relationship between the internal and external environmental factors on FTA activities and performance of Korea's SMEs, with PLS-SEM and data obtained by the questionnaire, Smart PLS was applied for the analysis. Findings - The recognition of FTA in SMEs has a significant positive effect on FTA utilization and performance, the international marketing orientation factor only has a significant positive effect on the performance, while the inadequate improvement of non-tariff barriers has a significant negative impact on FTA utilization. In addition, FTA activity has a significant mediation effect on two paths. Originality/value - This paper is of great practical relevance as a tool to enable SMEs to make effective utilization of Korea-China FTA and improve their imports and exports. The paper helps grasp the main factors affecting the utilization and performance of FTA for SMEs, also to establish FTA Business Model and FTA utilization plans for specific industries in the future regarding tariff and non-tariffs compatibility.

• 아태비즈니스연구
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• 제13권2호
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• pp.95-106
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• 2022

Purpose - The purpose of this study was to examine the mediating effect of employee competence on the relationship between the utilization of non-regular workers and firm performance. Design/methodology/approach - This study utilized 427 firm level data from HCCP. The Exploratory Factor Analysis (EFA) and the multiple regression analysis were conducted to verify the hypotheses. Findings - We found that the utilization of non-regular workers is not significantly related to firm performance. However, the utilization of non-regular workers had a negative relationship with employee competence, and that employee competence mediated the relationship between the utilization of non-regular workers and firm performance. Research implications or Originality - As environmental uncertainty and competition between firms intensify, more and more firms are utilizing non-regular workers. Research on the relationship between the utilization of non-regular workers and firm performance is continuously conducted, but research on the process of explaining the specific relationship between them is still insufficient. Our study contributes the related research area by identifying the mediating role of employee competence on the utilization of non-regular workers and firm performance relationship.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2008년도 춘계학술대회 논문집
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• pp.101-106
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• 2008

Zonal cavity method, which is a kind of the lumen method, is used the calculation of the average illuminance on the workplane in an interior. Important factors of the method are cavity ratio, coefficient of utilization, and light loss factor. A Coefficient of Utilization varies with a kind of luminaires and is affected by surface reflectance of space. For this, the data from Coefficient of Utilization computation were analyzed with the same lumens and different photometry. This paper analyzes the changes of Coefficients of Utilization on the photometry of luminaires and surface reflectance of space.

• 대한치과의사협회지
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• 제57권9호
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• pp.496-503
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• 2019

A dental implant has been covered by National Health Insurance (NHI) in Korea since 2014. Every year the age group covered was extended and the out-of-pocket payment was decreased. This study analyzed the dental implant utilization rate by the National Health Insurance customized DB during the last 5 years. As a result, the utilization rate has been rapidly increasing steeply. The differences by age and sex in the utilization rate of dental implants were explored. The inclusion of a dental implant in the NHI system contributed to improving the dental accessibility of the elderly in Korea. However, a deep discussion is needed whether it is appropriately provided to necessary patients. The utilization rate will increase further in the future. Therefore, continuous monitoring and critical policy review should be continued.

• 한국IT서비스학회지
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• 제23권2호
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• pp.49-62
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• 2024

The purpose of this study is empirically to identify what factors affect the utilization of public data on the perspective of users. This study proposes four crucial factors including understandability, processing-convenience, linkage, and timeliness from the previous studies. As a result, understandability and linkage factors have significant impact on the utilization of public data and no different impact depending on the industry classification. The implication of this study is that it is important to provide sufficient information so that open data users can understand easily what kind of data it is, and to facilitate the linkage of open data with other data in order to activate the utilization of public data.

• Asia pacific journal of information systems
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• 제23권3호
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• pp.25-53
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• 2013

This study analyzes the effect of Computer Aided Innovation (CAI) to improve R&D Capabilities empirically. Survey was distributed by e-mail and Google Docs, targeting CTO of 235 SMEs. 142 surveys were returned back (rate of return 60.4%) from companies. Survey results from 119 companies (83.8%) which are effective samples except no-response, insincere response, estimated value, etc. were used for statistics analysis. Companies with less than 50billion KRW sales of entire researched companies occupy 76.5% in terms of sample traits. Companies with less than 300 employees occupy 83.2%. In terms of the type of company business Partners (called 'partners with big companies' hereunder) who work with big companies for business occupy 68.1%. SMEs based on their own business (called 'independent small companies') appear to occupy 31.9%. The present status of holding IT system according to traits of company business was classified into partners with big companies versus independent SMEs. The present status of ERP is 18.5% to 34.5%. QMS is 11.8% to 9.2%. And PLM (Product Life-cycle Management) is 6.7% to 2.5%. The holding of 3D CAD is 47.1% to 21%. IT system-holding and its application of independent SMEs seemed very vulnerable, compared with partner companies of big companies. This study is comprised of IT infra and IT Utilization as CAI capacity factors which are independent variables. factors of R&D capabilities which are independent variables are organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability. The highest average value of variables was 4.24 in organization capability 2. The lowest average value was 3.01 in IT infra which makes users access to data and information in other areas and use them with ease when required during new product development. It seems that the inferior environment of IT infra of general SMEs is reflected in CAI itself. In order to review the validity used to measure variables, Factors have been analyzed. 7 factors which have over 1.0 pure value of their dependent and independent variables were extracted. These factors appear to explain 71.167% in total of total variances. From the result of factor analysis about measurable variables in this study, reliability of each item was checked by Cronbach's Alpha coefficient. All measurable factors at least over 0.611 seemed to acquire reliability. Next, correlation has been done to explain certain phenomenon by correlation analysis between variables. As R&D capabilities factors which are arranged as dependent variables, organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability turned out that they acquire significant correlation at 99% reliability level in all variables of IT infra and IT Utilization which are independent variables. In addition, correlation coefficient between each factor is less than 0.8, which proves that the validity of this study judgement has been acquired. The pair with the highest coefficient had 0.628 for IT utilization and technology-accumulating capability. Regression model which can estimate independent variables was used in this study under the hypothesis that there is linear relation between independent variables and dependent variables so as to identify CAI capability's impact factors on R&D. The total explanations of IT infra among CAI capability for independent variables such as organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability are 10.3%, 7%, 11.9%, 30.9%, and 10.5% respectively. IT Utilization exposes comprehensively low explanatory capability with 12.4%, 5.9%, 11.1%, 38.9%, and 13.4% for organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability respectively. However, both factors of independent variables expose very high explanatory capability relatively for technology-accumulating capability among independent variable. Regression formula which is comprised of independent variables and dependent variables are all significant (P<0.005). The suitability of regression model seems high. When the results of test for dependent variables and independent variables are estimated, the hypothesis of 10 different factors appeared all significant in regression analysis model coefficient (P<0.01) which is estimated to affect in the hypothesis. As a result of liner regression analysis between two independent variables drawn by influence factor analysis for R&D capability and R&D capability. IT infra and IT Utilization which are CAI capability factors has positive correlation to organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability with inside and outside which are dependent variables, R&D capability factors. It was identified as a significant factor which affects R&D capability. However, considering adjustable variables, a big gap is found, compared to entire company. First of all, in case of partner companies with big companies, in IT infra as CAI capability, organization capability, process capability, human resources capability, and technology capability out of R&D capacities seems to have positive correlation. However, collaboration capability appeared insignificance. IT utilization which is a CAI capability factor seemed to have positive relation to organization capability, process capability, human resources capability, and internal/external collaboration capability just as those of entire companies. Next, by analyzing independent types of SMEs as an adjustable variable, very different results were found from those of entire companies or partner companies with big companies. First of all, all factors in IT infra except technology-accumulating capability were rejected. IT utilization was rejected except technology-accumulating capability and collaboration capability. Comprehending the above adjustable variables, the following results were drawn in this study. First, in case of big companies or partner companies with big companies, IT infra and IT utilization affect improving R&D Capabilities positively. It was because most of big companies encourage innovation by using IT utilization and IT infra building over certain level to their partner companies. Second, in all companies, IT infra and IT utilization as CAI capability affect improving technology-accumulating capability positively at least as R&D capability factor. The most of factor explanation is low at around 10%. However, technology-accumulating capability is rather high around 25.6% to 38.4%. It was found that CAI capability contributes to technology-accumulating capability highly. Companies shouldn't consider IT infra and IT utilization as a simple product developing tool in R&D section. However, they have to consider to use them as a management innovating strategy tool which proceeds entire-company management innovation centered in new product development. Not only the improvement of technology-accumulating capability in department of R&D. Centered in new product development, it has to be used as original management innovative strategy which proceeds entire company management innovation. It suggests that it can be a method to improve technology-accumulating capability in R&D section and Dynamic capability to acquire sustainable competitive advantage.