• Journal of Digital Convergence
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• v.18 no.9
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• pp.39-47
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• 2020

This study was conducted with the aim of investigating the actual state of data utilization and the perception of big data utilization by officials of the provincial Office of Education and to derive implications for the establishment of strategies for big data utilization. An online survey of 440 people was conducted. As a result, the types and sources of data used for work varied, and data collection and refining were the most difficult parts. The infrastructure for data utilization was insufficient and the most necessary factor. The purpose of big data utilization was related to the establishment of educational policy agenda.

• Journal of Information Technology Applications and Management
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• v.21 no.1
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• pp.53-67
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• 2014

In recent years, more data is being generated for the activation of the SNS, the spread of Smartphones and the development of IT technology. Therefore, it is to collect large amounts of data, analyze and ensure meaningful information has become important. The use of these data are formed on the global trend. Big data so-called, has attracted attention as a source of new business. Big Data can then give us the opportunity to be able to create a new customer and diversify the business. So, many companies have investment and effort for big data utilization. However, technology, infrastructure, human resources is different for each of the companies. Therefore, it is necessary to diagnose the level of big data utilization companies. In this study, through a literature review of existing, we derived the success factors for the big data utilization. And developed a diagnostic indicator that allows success factors derived, can be used to determine levels of big data utilization of the company. In addition, as a development of diagnostic indicators, were carried out case studies to diagnose company. Through this study, it will be an opportunity to be able to be reflected in the strategy of big data utilization company.

• Journal of Information Technology Applications and Management
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• v.15 no.3
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• pp.127-152
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• 2008

This study sought to explore how SMEs are utilizing EC. Drawing on existing research on IT and EC related field, this study presented the framework of EC utilization level and analyzed its affecting factors in the point of organizational perspectives; strategy and competency. The impact of EC utilization on firm performance was also examined by employing BSC. Structural equation model was applied to test the relationships among the theoretical constructs with data from 171 SMEs. The results showed that the rate of EC utilization in SMEs is growing quite rapidly. However, manufacturing related firms still remain at a lower level compared to service related firms. As for the two affecting factors of EC utilization level, it was found that the level of EC utilization appeared to be driven not by strategy but by competency. This result implicates that EC utilization in SMEs doesn't reach to strategic purpose yet, while it is dependent on firm's competency. As far as the impact of EC utilization on firm performance, the study showed that the level of EC utilization has significant relationship with all perspectives performance indicators of BSC. This study can provide the managers with current EC utilization pattern and the guidelines as to where to put the efforts in the EC utilization and how to get an effective EC utilization strategy in the future.

• Korea Journal of Hospital Management
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• v.18 no.4
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• pp.78-96
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• 2013

The purpose of this study is to analyze the emergency health care utilization using status according to income class. The target was the 2011 data out Korea Health Panel's raw data. 2011 data composed of total 17,035 people from total 5,741 households. This study set total 1,101 adults over full-20-years old having used an emergency health care utilization as its analysis target. In order to find out the number of emergency health care utilization use according to income class and the influential factors on emergency health care utilization cost, this study conducted the multiple regression analysis. And in order to more accurately analyze the emergency health care utilization use status depending on the income class and the features of emergency health care utilization use status, this study developed Models. As the result, this study found following findings. First, as the income class was lower, the gender was male, the age was lower, and the user has spouse, the user was not a business owner or a paid worker, the user is a house owner, the emergency medical facility type was a clinic, the means of transportation was others rather than 119 ambulance, the reason visiting emergency medical facility was belonged to others rather than accidents or poisoning, then the number of emergency was increased. Second, as the user was in higher income class, received the health insurance benefits, the using medical facility was general hospital, used 119 ambulance more often, stay days in emergency was shorter, then health care utilization cost was increased. In this study investigating the data out of Korea Health Panel, it was found that while the number of emergency health care utilization use was increased in the lower income class, but the emergency health care utilization cost was increased for higher income class. It is considered that this finding was caused from the facts that lower income class was more often exposed to dangers for physical health, so the number of emergency health care utilization use was increased, but their health care utilization cost was decreased because of their economic burdens against various examinations and their difficulties to pay such costs, comparing to that of higher income class. Therefore, in order to solve unequal problem of emergency health care utilization use between lower and higher income classs, it is required to set suitable solutions like the disease prevention effort by facilitating national health check-up programs, the enhancement of public health services in quantity and quality, the emergency health care utilization securing policy at using medical facilities, the promotional, educational activities about emergency health care utilization delivery system, the enhanced accessibility of emergency health care utilizations and emergency medical facilities.

• Journal of Internet of Things and Convergence
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• v.10 no.2
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• pp.137-148
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• 2024

The purpose of this study is to determine how the use of retailtech technology affects consumers' purchase intention. Furthermore, this study aims to investigate the mediating effects of technology usefulness and ease of use on this influence relationship and whether experiential marketing moderates consumers' purchase intention. The survey was conducted from August 1, 2023 to September 30, 2023, and a total of 257 people participated in the study. For statistical analysis, hierarchical regression analysis, three-stage mediation regression analysis, and hierarchical three-stage controlled regression analysis were conducted to test the hypothesis. The results of the study are as follows. First, it was confirmed that big data-AI utilization, mobile-SNS utilization, live commerce utilization, and IoT utilization affect purchase intention in retail technology utilization. Second, technology usefulness has a mediating effect on IoT utilization, mobile-SNS utilization, and big data-AI utilization. Third, perceived ease of use of technology mediated the effects of IoT utilization, mobile-SNS utilization, live-commerce utilization, and big data-AI utilization. Fourth, escapist experience has a moderating effect on mobile SNS utilization and live commerce utilization. Fifth, esthetic experience has a moderating effect on mobile-SNS utilization and big data-AI utilization. Through this study, we hope that the domestic distribution industry will contribute to national competitiveness by securing the competitive advantage of companies by utilizing new technologies in entering the global market.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.55 no.4
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• pp.155-160
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• 2006

In this paper, deduced suitable optimization to request output condition after taking closely characteristic data of single phase induction motor(SIM) which is the possibility becoming economic is coming to be demanded. Motor proper move connection data took advantage of result of existing data and iron loss and copper loss, mechanical loss took advantage of statistical data, and decide motor move laking advantage of saving data and secondary resistance and optimum purpose of method that is proposed through single phase induction motor and comparison performance evaluation having on the same output parameter. That decide material factor, electric power damage ratio, and coefficient of utilization for optimum function by method that search request output and optimum values of efficiency case by case and decided is proper that is saved after take magnetizing reactance relationship. This research result which it sees against a material expense with use coefficient of utilization which is included in loss expense decides the same plan variable back the place efficiency is useful and will be applied.

• ETRI Journal
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• v.43 no.1
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• pp.53-63
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• 2021

Cloud computing has drastically reduced the price of computing resources through the use of virtualized resources that are shared among users. However, the established large cloud data centers have a large carbon footprint owing to their excessive power consumption. Inefficiency in resource utilization and power consumption results in the low fiscal gain of service providers. Therefore, data centers should adopt an effective resource-management approach. In this paper, we present a novel load-balancing framework with the objective of minimizing the operational cost of data centers through improved resource utilization. The framework utilizes a modified genetic algorithm for realizing the optimal allocation of virtual machines (VMs) over physical machines. The experimental results demonstrate that the proposed framework improves the resource utilization by up to 45.21%, 84.49%, 119.93%, and 113.96% over a recent and three other standard heuristics-based VM placement approaches.

• YAKHAK HOEJI
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• v.53 no.3
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• pp.138-144
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• 2009

The purpose was to implement drug utilization review (DUR) for whom were diagnosed with chronic kidney disease (CKD) population using health insurance claim data. This study constructed drug utilization database using Health Insurance Review and Assessment Service (HIRA) database and selected contraindicated drugs with kidney based on previously developed drug utilization guide and reviewing other countries' examples. Main outcome measures were the proportion of prescription for 1 or more drugs of concern. The cohort included 115,948 subjects, who were diagnosed with chronic kidney disease. Inappropriate drugs with CKD patients was some used, and the most commonly prescribed classes were aluminum drugs. However it is difficult to find problems with inappropriate drug because claims data doesn't have laboratory data. Based on the result of retrospective drug utilization review study, more studies should be analysed drug utilization patterns and monitoring system should be developed.

• Journal of KIBIM
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• v.5 no.3
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• pp.1-10
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• 2015

We have researched a character of BIM(Building Information Modeling) and GIS(Geographic Information System) data for integrated utilization of urban spatial data and building data for $CO_2$ reduction. We consider literature on integrated utilization of BIM and GIS and measure method of $CO_2$ in urban spatial unit. Among them without distortion of standard data structure, derive method how to install between BIM and GIS standard data. Rhino & Grasshopper is utilization tools of DB platform. The compatibility with existing BIM and GIS data format, graphic and numeric results can be output at the same time. And using the existing ARCHSIM, it can be easily combined for building energy analysis program. Based on BIM and GIS data to run an energy analysis target on Majang-dong, it could be poly synthetically derived the value information and graphic information.

• Knowledge Management Research
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• v.20 no.4
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• pp.23-38
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• 2019

The Korean government has been trying to create new economic value-added and jobs by the openness and utilization of open government data. However, most of open government data has poor utilization rate. Although open government data standardization is a major cause of those inactivation, it is not sufficient to conduct empirical research on open government data itself. Based on this trend, this paper aims to find the priority area for opening data and suggests a realistic directions of standardization of open government data. Text mining and social network analysis approaches are used to analyze open government data and standardization. This research suggests the guides to open government data managers in practical view from selection of data to standardization direction. In addition, this research has academic implications to the knowledge management systems in terms of suggesting standardization direction by using various techniques.