• Journal of Korea Port Economic Association
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• v.38 no.3
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• pp.15-28
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• 2022

Bunkering refers to the supply of bunker fuel necessary for the ship operation, as well as minimizing the price and supply cost of fuel itself, and includes supplying good quality fuel oil in a timely manner and at the optimal port. Bunkering is an important criterion in terms of cost for shipping companies because bunkering involves a significant cost to the purchaser of bunkering from the time of initial purchase. This study aims to prioritize selection criteria for tramper companies to call port for bunkering. For this study, the variables were selected by analyzing the common criteria such as price, location, bunker quality and service and infrastructure etc. employed in previous studies. The AHP method was employed to prioritize the criteria in order. As a result of the analysis, the high level factors appeared in the order of price, location, bunkering quality and port service and infrastructure factors. The importance of price criterion and location criterion was found to be high. In the low level criterion of price, the bunker price per MT was ranked first in importance. In terms of location criteria, the location on the main trade route was high. In the low criteria of bunker quality and port service, the bunkering available types and bunker quality were found to be important factors, and in the low level criteria of infrastructure, anchorage and availability of bunkering during loading and discharging and port security factors were found to be important criteria. This study provides the guidelines for research designed to compare the bunkering port selection factors and to derive their importance suggesting the ways to enhance competitiveness as a bunkering port.

• Journal of Korea Port Economic Association
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• v.37 no.3
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• pp.19-34
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• 2021

Yeosu Gwangyang Port, along with Busan Port, Incheon Port, Ulsan Port, and Pyeongtaek Dangjin Port, serves as Korea's top five ports for trade on the southern coast. It is the second largest port in Korea after Busan Port, and the largest port in terms of import and export volume. Yeosu Chemical Industrial Complex, the world's largest chemical industrial complex, has continued to grow rapidly, but recently, the increase in volume has been decreasing. Therefore, this study sought to find major development strategies for the development of Yeosu Gwangyang Port and to derive the priorities of the strategies. To this end, the development strategy of Yeosu Gwangyang Port was divided into three major categories: operation revitalization, infrastructure construction, and policy support using the AHP analysis technique and analyzed again in two aspects: short, medium, and long term. As a result of the analysis, 'integrated operation of container docks and strengthening competitiveness' were considered the most important in short- and medium-term policies. It is believed that it will be necessary to integrate container operators, establish routes in preparation for entry of super-large ships, and install large cranes. In the long-term policy, the most important thing was to foster high value-added industries based on local industries. It is believed that strategies are needed to attract companies from outside regions through the settlement support system. The results of this study are expected to be used to establish development strategies for Yeosu Gwangyang Port and to establish investment priorities.

• Journal of Appropriate Technology
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• v.6 no.1
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• pp.56-64
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• 2020

Recently, major manufacturers are focusing their efforts on securing global competitiveness through smart factory, but developing countries have many difficulties in applying smart factory due to financial and technical conditions. This study is a preliminary study on the development of an ICT-based power monitoring system applicable to developing countries. The questionnaire surveyed and analyzed workers' perceptions of smart factory in a garment manufacturing factory in developing countries, Indonesia. Before and after the installation of the power monitoring system, the survey was conducted for 126 local managers and workers, and the correlation was analyzed using SPSS. As a result of analysis, factory workers in developing countries such as Indonesia are also positively aware of the necessity of introducing smart factory technology, and it is expected that the introduction of these technologies will affect job satisfaction and improve the factory environment. In addition, the result of the survey conducted after the installation of the power monitoring system increased the job satisfaction score by 5.5% compared to before the installation, and the scores on the perception of the necessity of the power monitoring system and the positive effect of the application of the system on the factory environment were increased 13% and 5.9%, respectively. It was also confirmed that managers rather than workers and female rather than male showed positive perception for the introduction of smart factory technology. The result of this study is expected to be an important reference in the direction of development of appropriate smart factory technology applicable to developing countries and the introduction of smart factory by manufacturers operating factories in developing countries.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.2
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• pp.219-227
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• 2021

This study aimed to determine the importance of the policies formulated through the Ministry of Maritime Affairs and Fisheries' master plan for Seafarer's policy. To confirm the importance of the Seafarer's policy, AHP analysis was conducted on the 3 main policies and 15 auxiliary policies established by the master plan for Seafarer's policy. To analyze the reliability of the survey, we investigated the inconsistency ratio of 34 respondents retrieved. We found that 25 respondents validated the reliability of the findings. The analysis showed that the policy of establishing a stable supply and demand system was the most important among the main policies for seafarers, while the policy of fostering seafarers linked to jobs was the most important one among the auxiliary policies. By group, the government recognized establishing a stable supply and demand system as a priority of policy. Dif erences were found on the fact that improving working conditions and expanding welfare were important for seafarers. This study, which analyzed the importance of the Seafarer's policy through AHP analysis, has the following implications. We established guidelines to enhance efficiency, such as budget allocation by policy according to the importance in implementing Seafarer's policies. Furthermore, our study can be used as basic data for establishing a master plan for Seafarer's policy by comparing differences in importance per group.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.317-327
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• 2021

The purpose of this study is to identify the priority factors for sustainable management of social enterprises related to early childhood education. To achieve the purpose of this study, sustainable management factors were extracted by examining previous studies related to social enterprises, and the priorities of factors were derived using the AHP method after conducting surveys of those who are related to early childhood education and social enterprises. As a result of the study, the priorities of the four major factors for sustainable management of social enterprises were confirmed in the following order: strategic factors, organizational factors, management capability factors, and social environment factors. And the priorities of the 16 sub-factors were confirmed in the following order: program originality, excellence of program content, CEO's leadership, expertise in operation and education, securing information on early childhood education market, etc. This study is meaningful in that it discovered the basic success factors for the performance and sustainability of social enterprises related to early childhood education and suggested directions for establishing management strategies for social enterprises related to early childhood education.

• Journal of Korea Entertainment Industry Association
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• v.14 no.3
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• pp.323-331
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• 2020

In order to prolong the Shin-Hallyu and make a significant leap forward, we analyzed the characteristics of Jambinai, Singsing Band, and Ackdan Gwangchil, bands that are recognized globally for their musicality and popularity. First, the socio-cultural background behind the world's attention on korean traditional music lies in the racial and cultural diversity that embraces the non-mainstream identity. In particular, the success of Korean traditional music fusion bands in non-Asian countries can satisfy their public seeking to enjoy an exotic culture that is different from Western culture. it is necessary to recognize cultural, social and musical differences depending on the country or ethnicity and to approach them accordingly. Second, in the same Asian region, Korean traditional music is not given a sense of homogeneity, but in the West, the Eastern heterogeneity seems to have become a stronger ompetitive edge. With the expansion of the new Korean Wave to various regions, it is necessary to try to form a regional repertoire. Third, we found the validity of the convergence with the new Korean Wave through the characteristics of Gugak musicians as the main body to build a world of traditional music and enable popularization and globalization. It is necessary to highlight korea's traditional cultural value through analytical research on the effects of tone, composition and directing techniques reflected in korean traditional music or musical elements. The uniqueness and Korean values provided by Gugak will serve as homogeneity in Asia and heterogeneity in Europe and the United States, presenting the possibility of New Hallyu content and contributing to the prolonged Korean Wave.

• The Journal of the Acoustical Society of Korea
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• v.42 no.1
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• pp.7-15
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• 2023

Recently, as interest in air quality in vehicles increases, the use of fine dust detection sensors for air quality measurement is becoming common. An axial-flow fan is inserted in the fine dust sensor installed in the air conditioning system in the vehicle to prevent dust from sinking directly on the sensor. When the sensor operates, the flow noise caused by the rotation of the axial-flow fan acts as a major noise source of the fine dust sensor. flow noise is recognized as one of the product competitiveness of fine dust sensors. In this study, the noise was gradually reduced at the same flow rate by improving the flow performance of the small axial flow fan. First, a virtual fan performance tester consisting of about 20 million grids was developed to analyze the aerodynamic performance of the target small axial-flow fan. In addition, the flow field was simulated by using compressible Large Eddy Simulation for direct computation of flow noise as well as high-accurate prediction of flow rate. The validity of numerical method are confirmed through the comparison of predicted results with experimental ones. After the effects of pitch angle on flow performance were analyzed using the verified numerical method, the pitch angle was determined to maximize the flow rate. It was found that the flow rate was increased by 8.1 % and noise was reduced by 0.8 dBA when the axial-flow fan with the optimum pitch angle was used.

• Journal of Service Research and Studies
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• v.13 no.3
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• pp.147-159
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• 2023

This study is a study to develop a model for measurement and processing of experience data, which is emerging as a core value in quality management of medical services. In the theoretical background, a literature study was conducted on the importance of experience in medical service, measurement and processing of experience data, and realization of patient-centeredness. Based on these literature and theoretical background research results, operational definitions were performed for the following four research variables, and statistical tests were conducted. Hypothesis 1 is the effect of measuring experience data from the perspective of three factors on persona modeling, Hypothesis 2 is the effect of persona modeling on service blueprint visualization, Hypothesis 3 is the effect of service blueprint visualization on realization of patient-centeredness, and Hypothesis 4 is persona modeling This is the effect that modeling has on the realization of patient-centeredness. After data-based testing of factor analysis, reliability analysis, and correlation analysis, all four hypotheses were adopted as a result of verification using regression analysis. In conclusion, in an era where it is difficult to recognize the value of having only good medical staff and medical equipment in hospitals, it was possible to grasp the meaning that what kind of medical service experience is continuously obtained is more important to patients than the effectiveness of medical staff and medical equipment. In the era of the service economy, the core of hospital service competitiveness is providing attractive experiences, which is the real strength of hospitals, so the measurement and processing of experience data, which is the subject of this study, will have an important meaning in realizing patient-centeredness and realizing smart hospitals.

• Economic Analysis
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• v.27 no.4
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• pp.1-42
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• 2021

The outlook for Korea's consumer price inflation rate has a profound impact not only on the Bank of Korea's operation of the inflation target system but also on the overall economy, including the bond market and private consumption and investment. This study presents the prediction results of consumer price inflation in Korea for the next three years. To this end, first, model selection is performed based on the out-of-sample predictive power of autoregressive distributed lag (ADL) models, AR models, small-scale vector autoregressive (VAR) models, and large-scale VAR models. Since there are many potential predictors of inflation, a Bayesian variable selection technique was introduced for 12 macro variables, and a precise tuning process was performed to improve predictive power. In the case of the VAR model, the Minnesota prior distribution was applied to solve the dimensional curse problem. Looking at the results of long-term and short-term out-of-sample predictions for the last five years, the ADL model was generally superior to other competing models in both point and distribution prediction. As a result of forecasting through the combination of predictions from the above models, the inflation rate is expected to maintain the current level of around 2% until the second half of 2022, and is expected to drop to around 1% from the first half of 2023.

• The Journal of Bigdata
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• v.6 no.2
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• pp.71-84
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• 2021

Since small and medium-sized enterprises fell short of the securement of technological competitiveness in the field of big data and artificial intelligence (AI) field-core technologies of the Fourth Industrial Revolution, it is important to strengthen the competitiveness of the overall industry through technology commercialization. In this study, we aimed to propose a priority related to technology transfer and commercialization for practical use of public research results. We utilized public research performance information, improving missing values of 6T classification by deep learning model with an ensemble method. Then, we conducted topic modeling to derive the converging fields of big data and AI. We classified the technology fields into four different segments in the technology portfolio based on technology activity and technology efficiency, estimating the potential of technology commercialization for those fields. We proposed a priority of technology commercialization for 10 detailed technology fields that require long-term investment. Through systematic analysis, active utilization of technology, and efficient technology transfer and commercialization can be promoted.