• Journal of Industrial Convergence
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• v.21 no.1
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• pp.103-110
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• 2023

In this study, clustering analysis was performed to find out the influence of the maturity level of Industry 4.0 of SMEs in Korea, index factors of clustering, and major factors on the self-evaluation of companies. When 80 domestic SMEs were classified into 4 categories, it was found that there was a significant positive correlation between process, technology and organization. In addition, the majority of the 80 companies tested according to the maturity model appear to be immature or partially mature, and many improvements and re-evaluation of innovation strategies related to Industry 4.0 are needed. Finally, it was concluded that the Singapore Smart Industry Readiness Index is suitable for conducting self-assessment in domestic SMEs. These conclusions can serve as useful maturity and grouping guidelines for practitioners and researchers.

• Journal of Fisheries and Marine Sciences Education
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• v.26 no.4
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• pp.838-845
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• 2014

The objective of this study was to propose the priorities among the possible development strategies that can activate the industry while the market potential of cruise tourism industry has been increasing. To achieve the research aim, the A'WOT (SWOT-AHP) method was adopted in this study focusing on Jeju cruise industry. As a result of analysis, the strength factor (0.421) was the most important thing among the proposed factors. And, opportunity (0.348), weakness (0.135), and threat (0.096) factors were calculated in turn. Based on the A'WOT analysis, the most urgent thing among the strategy alternatives was 'Installation of dedicated department for Jeju cruise industry'. Accordingly, this result can be utilized as the fundamental data in order to make an optimal decision following by the environmental changes in Jeju cruise industry.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.2
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• pp.105-113
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• 2022

Purpose - An increase in automation has been as a result of digital technologies. The data will be instrumental in the determination of the services that are more necessary so that more resources can be allocated for them. The purpose of the current research is to investigate how big data utilization will help increase the profitability in the industry 4.0 era. Research design, Data, and methodology - The present research has conducted the comprehensive literature content analysis. Quantitative approaches allow respondents to decide, but qualitative methods allow them to offer more information. In the next step, respondents are given data collection equipment, and information is collected. Result - The According to qualitative literature analysis, there are five ways in which big data utilization will help increase the profitability in the industry 4.0 era. The five solutions are (1) Better Customer Insight, (2) Increased Market Intelligence, (3) Smarter Recommendations and Audience Targeting, (4) Data-driven innovation, (5) Improved Business Operations. Conclusion - Modern companies have been seeking a competitive advantage so that they can have the edge over other companies in the same industries providing the same services and products. Big data is that technology that businesses have always wanted for an extended period of time to revolutionize their operations, making their businesses more profitable.

• Health Policy and Management
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• v.16 no.4
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• pp.112-127
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• 2006

The purpose of this study is to develop performance indicators for quality of public health center based home healthcare through the study the major factors of registrated weaken poorly residents in the community based home healthcare. Various literature review was conducted to study the performance indicators for quality of public health center based home healthcare of advanced countries and Korea. Mail survey was conducted from national wide PHC(public health centers), sub health centers and primary health care posts. of the surveys mailed, 2,293 centers(67%) were returned within the allotted and we included in the analysis these who completed the questionnaire. Data was analysed by SPSS for windows 12.0. The major results of the research were as follows; Firstly, major factors of registrated weaken poorly residents in the community based home healthcare in the multivariate analysis were jurisdictional families per manpower(OR:0.78, 95%CI:0.64-0.94, P=0.011), weaken poorly families per manpower(OR:0.42, 95%CI:0.35-0.50, P<0.001), business vehicles per manpower(OR:1.13, 95%CI:1.04-1.24, P=0.007) type of public health center(OR:4.42, 95%CI:3.32-5.90, P<0.001), region of public health center(OR:0.53, 95%CI:0.32-0.89, P=0.017). Secondly, performance indicators for quality of public health center based home healthcare were developed as basic investigation, registration, intervention and discharge level. Preparing for Activation of public health center based home healthcare in Korea, the result application as follows is possible. Firstly, we can conclude that the major factors of registrated weaken poorly residents in the community based home healthcare are jurisdictional families per manpower, weaken poorly families per manpower, type of public health center, region of public health center, business vehicles per manpower. Secondly, the new developed performance indicators which are divided into basic investigation, registration, intervention, discharge for public health center based home healthcare could be applied it for improving quality of home healthcare services.

• Journal of the Korean Chemical Society
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• v.67 no.1
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• pp.68-71
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• 2023

• Convergence Security Journal
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• v.19 no.4
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• pp.173-180
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• 2019

As the 4^th Industrial Revolution(Industry 4.0), symbolized as CPS(Cyber Physical System), spreads around the world, it is essential to establish a converged security infrastructure to secure technical stability and reliability of various cyber systems to be implemented in the future. In this study, we will investigate the phenomenon of broad convergence security industry and technology including the concept of life safety in relation to the spread of the 4^th industrial revolution, and analyze the possibility of linkage between related knowledge to promote academic-industrial cooperation necessary for the convergence of security. we would like to propose a comprehensive development policy on human resource development, technology development and policy improvement.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.54 no.6
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• pp.912-917
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• 2021

We investigated the distribution, molecular characteristics, and antimicrobial resistance of Vibrio vulnificus isolated from seawater at Gadeok Island, the Republic of Korea between June to October. Interestingly no isolates were detected between December to February. The detection rate of V. vulnificus was high (80-100%) from July to September 2019 and from June to September 2020. This coincided with the relatively low salinity of the seawater, which ranged from 7.8-29.9 practical salinity units for that period. Additionally, V. vulnificus had a high detection rate at sampling stations near the Nakdong river. The detection rates of virulence genes, such as vvhA, viuB, and vcgC, among the isolates were 97.1%, 44.1%, and 57.4% in 2019 and 100%, 43.0%, and 50.0% in 2020, respectively. Notably, viuB and vcgC were detected in V. vulnificus isolated between June to October when water temperature was above 20℃. The antimicrobial susceptibility analysis of 80 isolates revealed that most of the strains were susceptible to most antimicrobial agents. However, some isolates showed intermediate resistance to cefepime (18.8%), cefoxitin (58.8%), and erythromycin (22.5%). Of note, 3.8% of the tested strains were resistant to cefoxitin. The minimum inhibitory concentration of highly cefoxitin-resistant strains was determined to be less than 32 ㎍/mL.

• Journal of Environmental Science International
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• v.22 no.11
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• pp.1457-1464
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• 2013

We investigated the optimal conditions for keratinase production by feather-degrading Pseudomonas geniculata H10 using one variable at a time (OVT) method. The optimal medium composition and cultural condition for keratinase production were determined to be glucose 0.15% (w/v), beef extract 0.08% (w/v), $KH_2PO_4$ 0.12% (w/v), $K_2HPO_4$ 0.02% (w/v), NaCl 0.07% (w/v), $MgSO_4{\cdot}7H_2O$ 0.03%, $MgCl_2{\cdot}6H_2O$ 0.04% along with initial pH 10 at 200 rpm and $25^{\circ}C$, respectively. The production yield of keratinase was 31.6 U/ml in an optimal condition, showing 4.6-fold higher than that in basal medium. The strain H10 also showed plant growth promoting activities. This strain had ammonification activity and produced indoleacetic acid (IAA), siderophore and a variety of hydrolytic enzymes such as protease, lipase and chitinase. Therefore, this study showed that P. geniculata H10 could be not only used to upgrade the nutritional value of feather wastes but also useful in situ biodegradation of feather wastes. Moreover, it is also a potential candidate for the development of biofertilizing agent applicable to crop plant soil.

• Journal of Energy Engineering
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• v.25 no.4
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• pp.37-52
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• 2016

This study attempts to compare the role of the oil refinery industry in the Korean and Japanese national economy using an inter-industry analysis. First of all, the study conducts a comparative analysis on production-inducing effects and value-added creation effects of the oil refinery industry based on demand-driven model. Moreover, we investigate the supply shortage effects and sectoral pervasive effects of price change by using supply-driven model and Leontief price model, respectively. These analyses have been done by specifying the oil refinery industry as not endogenous but exogenous. The results show that1 won of production or investment in the oil refinery industry induces 0.2620 won and 0.6537 won of production in other industries of Korea and Japan, respectively. The former is less than the latter. It also creates 0.0946 won and 0.0536 won of value-added in other industries of Korea and Japan, respectively. The first is larger than the second. The effects of 1 won of supply shortage in oil refinery industry on other industries are computed to be 0.9657 won and 1.4476 won for Korea and Japan, respectively, and thus the former is smaller than the latter. Finally, the pervasive effects of 10% price change in oil refinery industry are estimated to be 0.3819% and 0.3409% in Korea and Japan, respectively, and thus the first is larger than the second.

• International Area Studies Review
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• v.22 no.4
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• pp.19-35
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• 2018

This paper is to estimate the total factor productivity(TFP) in the Korean manufacturing and service industries during the period 1975:1-2016:4 using the stochastic frontier analysis model. In order to analyze the determinants for the total factor productivity the paper estimates the industry-specific determinant elasticities of TFP using the autoregressive distributed model. The industry-specific determinants, which reflect the industrial structure and properties include markup, the ratio of capital to labor(KL), and the ratio of foreign intermediate goods (FIG) to industrial output. The average value for total factor productivity growth was estimated to be 0.0199 in manufacturing and 0.0063 in the service industry. The markup and KL elasticities of TFP were estimated to be 2.481 and 0.651 in manufacturing respectively and -1.403 and 0.042 in the service industry respectively. The empirical results suggest that the industrial markup and the ratio of capital to labor have had decisive effects on the changes in the total factor productivity in the Korean manufacturing and service industries during the period 1975:1-2016:4.