• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.10
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• pp.6114-6125
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• 2014

This paper analyzed the issues related to focus on farmers behaviors of energy saving facilities. This study conducted questionnaire and field surveys of controlled horticulture farmers and economic analysis using an IPA(Importance-Performance Analysis) matrix. According to the research results, the performance level was low on average ranging from 2.33 to 2.56 in a five point Likert-scale on greenhouse mandarin and grape-related facilities. On the other hand, the importance levels were high in the mean rating from 2.69 to 4.8. The results show that energy loss reduction of complementary facility and alternative energy supply support for low cost implementation are more important in terms of the respondents concerns than performance quadrant III. Therefore, it is important to provide financial support to energy-saving facilities to promote the use of energy efficiency improvement. In addition, the government should invest continuously in research and development.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.339-345
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• 2020

This study intended to analyze pre-service elementary teachers' perceptions of teacher knowledge based on the Technological, Pedagogical, and Content Knowledge (TPACK) framework. Seventy-four pre-service elementary teachers who were enrolled at an University of Education located in mid-continent of Korea participated in a survey. Results of the survey was analyzed using Importance-Performance Analysis (IPA) method. It was found that perception of importance was significantly higher than that of performance at all seven domains of the TPACK. IPA matrix extracted from the survey indicates that Technological Content Knowledge (TCK), Technological Pedagogical Knowledge (TPK), and TPACK which are related to technology especially need to develop. Results of this study also show the necessity to support pre-service teachers so that they can have opportunities to develop and use technology-related knowledge and skills. This study especially implies that technological knowledge needs to be integrated with content and pedagogical knowledge when implementing curriculum and educational programs for pre-servie elementary teachers.

• Journal of Korean Academy of Nursing
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• v.54 no.2
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• pp.193-210
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• 2024

Purpose: The objective of this study was to develop a predictive model for the sexual experiences of adolescents using the random forest method and to identify the "variable importance." Methods: The study utilized data from the 2019 to 2021 Korea Youth Risk Behavior Web-based Survey, which included 86,595 man and 80,504 woman participants. The number of independent variables stood at 44. SPSS was used to conduct Rao-Scott χ² tests and complex sample t-tests. Modeling was performed using the random forest algorithm in Python. Performance evaluation of each model included assessments of precision, recall, F1-score, receiver operating characteristics curve, and area under the curve calculations derived from the confusion matrix. Results: The prevalence of sexual experiences initially decreased during the COVID-19 pandemic, but later increased. "Variable importance" for predicting sexual experiences, ranked in the top six, included week and weekday sedentary time and internet usage time, followed by ease of cigarette purchase, age at first alcohol consumption, smoking initiation, breakfast consumption, and difficulty purchasing alcohol. Conclusion: Education and support programs for promoting adolescent sexual health, based on the top-ranking important variables, should be integrated with health behavior intervention programs addressing internet usage, smoking, and alcohol consumption. We recommend active utilization of the random forest analysis method to develop high-performance predictive models for effective disease prevention, treatment, and nursing care.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.2
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• pp.73-91
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• 2016

This study sheds light on the quality aspect of cloud computing services as next IT platform. Three tasks of the research are to extract the quality factors of cloud service from the user's viewpoint, empirically analyze the perceptual differences between the user group and the provider group by applying the IPA technique, and suggest some quality factors that need to be improved. Based on the previous researches and focus group evaluation, 13 quality factors have been established. Two field surveys have been performed respectively to collect the perceptual importance and satisfaction level of the users and the providers. It is shown that the quality satisfaction of the user group is lower than the quality perceived by the providers. And there exist significant differences between two groups in respect to quality importance level and IPA matrix. In conclusion, 6 quality factors that need to be improved are suggested such as service functionality, service availability, interoperability, scalability, confidentiality, and provider's responsiveness.

• Journal of Intelligence and Information Systems
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• v.19 no.4
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• pp.1-10
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• 2013

Personalization aims to provide customized contents to each user by using the user's personal preferences. In this sense, the core parts of personalization are regarded as recommendation technologies, which can recommend the proper contents or products to each user according to his/her preference. Prior studies have proposed novel recommendation technologies because they recognized the importance of recommender systems. Among several recommendation technologies, collaborative filtering (CF) has been actively studied and applied in real-world applications. The CF, however, often suffers sparsity or scalability problems. Prior research also recognized the importance of these two problems and therefore proposed many solutions. Many prior studies, however, suffered from problems, such as requiring additional time and cost for solving the limitations by utilizing additional information from other sources besides the existing user-item matrix. This study proposes a novel implicit rating approach for collaborative filtering in order to mitigate the sparsity problem as well as to enhance the performance of recommender systems. In this study, we propose the methods of reducing the sparsity problem through supplementing the user-item matrix based on the implicit rating approach, which measures the trust level among users via the existing user-item matrix. This study provides the preliminary experimental results for testing the usefulness of the proposed model.

• Journal of the Korea institute for structural maintenance and inspection
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• v.25 no.6
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• pp.161-168
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• 2021

This paper is a maintenance system for bridge represented by Class 3 and other than by law bridges. Domestic bridge are divided into Class 1 & 2 bridges and Class 3 & other than by law bridges. The number of type 3 and other than by law bridges is very large. But, it is considered to be of relatively low importance compared to Class 1 & 2 Bridge Bridge. So, in this paper is propose a maintenance system and procedure for small & medium-sized bridges. However, because the number of small & medium-sized bridges is large, it is not possible to evaluate the performance of all bridges like Class 1 & 2 bridge. The reason is the lack of manpower and budget. Based on the Risk Matrix method, a maintenance procedure was created to select the bridge for which performance evaluation should be performed first. For this purpose, basic information of the bridge is used. And, the developed maintenance procedures were applied to the bridges in actual use.

• The Journal of the Korea Contents Association
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• v.11 no.5
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• pp.449-465
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• 2011

The purpose was to contribute substantially in terms of marketing strategic planning and implementation of coffee shops. Additionally, the target was set as the favorite coffee shops on the basis of the young people. Through the IPA Matrix, subdividion variable was derived and by using the variables in each quadrant, tested the variables that have significant effect on satisfaction, reuse, and recommendation intentions. The study results showed that there was a significant difference in the importance performance (IPA) difference analysis of coffee shop service quality elements and this proved that empirically, the expectations were different. Additionally, it was evident that there were statistically significant and not statistically significant elements in the relationship between service quality element and the overall satisfaction rate in each elements shown in the IPA. Through this, it was possible to provide the information on what service quality elements to focus and distribute. It was possible to understand that the ultimate goal should be satisfaction since the overall satisfaction positively affects the reuse and intention of recommendation and it was possible to re-confirm the previous studies which stated that overall satisfaction, reuse, and recommendation intentions have a positive influence.

• The Journal of Engineering Geology
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• v.33 no.4
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• pp.673-687
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• 2023

Exploratory data analysis is the process of observing and understanding data collected from various sources to identify their distributions and correlations through their structures and characterization. This process can be used to identify correlations among conditioning factors and select the most effective factors for analysis. This can help the assessment of landslide susceptibility, because landslides are usually triggered by multiple factors, and the impacts of these factors vary by region. This study compared two stages of exploratory data analysis to examine the impact of the data exploration procedure on the landslide prediction model's performance with respect to factor selection. Deep-learning-based landslide susceptibility analysis used either a combinations of selected factors or all 23 factors. During the data exploration phase, we used a Pearson correlation coefficient heat map and a histogram of random forest feature importance. We then assessed the accuracy of our deep-learning-based analysis of landslide susceptibility using a confusion matrix. Finally, a landslide susceptibility map was generated using the landslide susceptibility index derived from the proposed analysis. The analysis revealed that using all 23 factors resulted in low accuracy (55.90%), but using the 13 factors selected in one step of exploration improved the accuracy to 81.25%. This was further improved to 92.80% using only the nine conditioning factors selected during both steps of the data exploration. Therefore, exploratory data analysis selected the conditioning factors most suitable for landslide susceptibility analysis and thereby improving the performance of the analysis.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.24 no.69
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• pp.23-35
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• 2001

This paper attempts to identify the relationship between the business model and its financial performance through the construct of business paradigm, fit which may be defined as the congruence between the customer needs (the demand side) and the firm competence( supply side) to meet them, Each business model\`s business paradigm fit reflects how well the technology that business model has taken is interconnected with market. Basically, the business paradigm fit consists of two parts, product fit dealing with the product(s) to meet the customer needs well and process fit focusing on producing and/or providing that product(s) at the lowest costs. For empirical tasting the business paradigm fit matrix and the measures for them were developed and the data about 73 companies as sample were collects with questionnaires. The findings are: First business paradigm fit can be used as a strong empirical indicator for the firm performance, Second. balance fit in product or process gives to the most desirable outcomes and no fit brings about the worst ones. Third the over fit(the case of doing more excessive innovative efforts than to be needed) shows much better outcomes than the under fit(the case of doing less innovative efforts) Fourth, this paper shows where, in what situation, and what type of innovation has to be taken for firm success at firm level, whereas Schumpeter(1934) already indicated the importance of innovation for economic growth at the economy /industry level. However, further study should be done later with more refined measures and expanded sample data.

• Journal of Korean Society of Archives and Records Management
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• v.17 no.1
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• pp.163-192
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• 2017

The purpose of this study is to clarify the work of a local government records manager, provide job analysis using importance-performance analysis (IPA), and define the differences and characteristics in the perception of the work by employment and career type with the aim of providing basic data on effective business operation. To this end, this study conducted statistics analysis and an IPA matrix after analyzing the work of records managers in the local government and conducting surveys. Based on the analysis results, this study suggests installing a local archives management institution, securing the necessary budget for performing works, training staff, calling for assistant staff and collaborative work between other departments within the organization, and retraining of jobs differently based on the difference in perception of work by employment type and career as solutions.