• Archives of design research
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• v.17 no.1
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• pp.163-178
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• 2004

In this study, in order to achieve the before-mentioned study purpose, the importance of developing the new product, the relationship with the design, and the design element for developing the new product were considered. In order to extract the importance of the design element which is applied to the development of the new product design, the research model about the induction of the priority was created, the evaluation items were instituted, and the demonstrative research approach was performed in order to recognize the relationship among those elements. Firstly, in the process of selecting the items for the application, 14 evaluation elements which were extracted through the advanced study data were grouped in 4 kinds of dimensions, and the properties which are related with the Digital TV product were composed up of 36 items. Through the factor analysis, by decreasing the detailed standard for the evaluation of 36 items, the parsimony was secured, and the characteristics which the various items contain induced into one factor. Secondly, the detailed factors which were united into one factor went under the paired comparison as one by one through AHP again, and then the importance degree was generated. First of all, as the first stage of AHP, the decision making factors which affect the whole achievement of purpose of the decision making were classified as in a hierarchical style. From these research results, it was known that the functional factor and esthetic factor in the process of designing the new product are the major affecting variables, and it was confirmed that in case of the Digital TV products group, the factors such as the high quality of picture, big screen, user interface, sound, product reliability, style, size, indoor reproduction, and guarantee are the main factors which influence the need of the consumers in purchasing products.

• Journal of the Korean Society of Child Welfare
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• no.59
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• pp.25-58
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• 2017

This study aimed to identify self-worth and self-deprecation trajectories and their associated factors among Korean adolescents. For these purposes, we used latent growth curve modeling involving 2,350 students who participated in the Korea Children and Youth Panel Survey in 2010, 2012, 2014, and 2015. Major findings are as follows: 1) Adolescents' self-worth and self-deprecation increased with time, but the speed gradually changed to a quadratic function model; and 2) the types of predictors affecting self-worth and self-deprecation were different. Specifically, the factors that affected only self-worth were adolescents' relationship with teachers and household income, and the factors that affected only self-deprecation were presence of disease and parental over interference. Factors affecting both self-worth and self-deprecation were child's sex, parental affection, peer trust, and peer alienation. These results suggest that independent intervention is needed for self-worth and self-deprecation. Furthermore, the results can be an important basis for establishing a more focused intervention strategy when intervening in self-worth and self-deprecation in adolescents.

• Journal of vocational education research
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• v.37 no.4
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• pp.45-66
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• 2018

The purpose of this study is to explore the factors affecting the social capital of youth and to draw implications for the policies related to development of the social capital of them. To this end, we utilized the OLS regression model and the quantile regression model exploiting the 12th year dataset of the Korean Education & Employment Panel(KEEP). First, this study shows that the effect on trust is higher than that of the counterpart when the case is a) unmarried, b) with the high level of education, c) with a large asset, d) with high self-respect and the satisfaction for financial situation, and e) social media user. On the other hand, the higher the monthly average income, the lower the trust level. In addition, when the cases are grouped into 25 quantile, 50 quantile, and 75 quantile according to the level of trust, it is revealed empirically that the factors affecting social capital formation are somewhat different. Second, this study also shows that the effect is higher in a specific condition. The effect is higher compared to the counterpart when the case is a) male, b) with children, c) metropolitan city resident, d) non-employee, e) with a large asset, f) with high level of happiness, g) with high expense of purchasing books, and h) social media user. As a result, it is found that there are no personal characteristics that have statistically significant influence on students belonging to the 25th quantile of social capital. This study suggests that, in order to support the formation of social capital of Korean youths, it is necessary to enhance their psychological satisfaction and to provide cultural support or policies. In addition, it suggests that a tailored social capital accumulation program is needed according to the level of social capital, and the support for this need to be changed according to the amount of social capital of young people.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.351-361
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• 2021

The seriousness of fire is rising because fire causes enormous damage to property and human life. Therefore, this study aims to predict various risk factors affecting fire by fire type. The predictive analysis of fire factors was carried out targeting Gyeonggi-do, which has the highest number of fires in the country. For the analysis, using machine learning methods SVM (Support Vector Machine), RF (Random Forest), GBRT (Gradient Boosted Regression Tree) the accuracy of each model was presented with a high fit model through MAE (Mean Absolute Error) and RMSE (Root Mean Squared Error), and based on this, predictive analysis of fire factors in Gyeonggi-do was conducted. In addition, using machine learning methods such as SVM (Support Vector Machine), RF (Random Forest), and GBRT (Gradient Boosted Regression Tree), the accuracy of each model was presented with a high-fit model through MAE and RMSE. Predictive analysis of occurrence factors was achieved. Based on this, as a result of comparative analysis of three machine learning methods, the RF method showed a MAE = 1.765 and RMSE = 1.876, as well as the MAE and RMSE verification and test data were very similar with a difference between MAE = 0.046 and RMSE = 0.04 showing the best predictive results. The results of this study are expected to be used as useful data for fire safety management allowing decision makers to identify the sequence of dangers related to the factors affecting the occurrence of fire.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.339-350
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• 2022

The purpose of this study was to develop and investigate the validity and reliability of the Korean Version of Nurse's Job Crafting Scale. The Korean version of Job Crafting was translated and reverse-translated, and its content validity was verified by experts. Statistics were processed using SPSS/WIN 21.0 and AMOS 21.0 programs through self-report questionnaires for 151 nurses. Exploratory factor analysis and confirmatory actor analysis were performed to verify construct validity, and model fit, concentrated validity, and discriminant validity were confirmed through the analysis results.To verify the criterion validity, correlations with each domain were obtained using the calling scale. For reliability verification, the internal consistency reliability coefficient was calculated and confirmed. Reliability of all 20 job crafting tools was Cronbach's α = .93, with .91 for factor 1 (Increase in structural work resources, 5 questions) and .87 for factor 2 (Increase in structural work resources, 5 questions). The factor 3 (Increase in social work resources, 5 questions) was .83. The factor 4 (Increasing challenging business needs, 5 items) was .87, which was satisfactory for the reliability of internal consistency, and the Korean Version of Nurse's Job Crafting Scale was found to be an applicable tool. This study shows that the Korean Version of the Nurse's Job Crafting Scale is a valid and reliable instrument to assess nurses in Korea.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.245-250
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• 2017

Flash floods is defined as the flooding of intense rainfall over a relatively small area that flows through river and valley rapidly in short time with no advance warning. So that it can cause damage property and casuality. This study is to establish the flash-flood warning system using 38 accident data, reported from the National Disaster Information Center and Land Surface Model(TOPLATS) between 2009 and 2012. Three variables were used in the Land Surface Model: precipitation, soil moisture, and surface runoff. The three variables of 6 hours preceding flash flood were reduced to 3 factors through factor analysis. Decision tree, random forest, Naive Bayes, Support Vector Machine, and logistic regression model are considered as big data methods. The prediction performance was evaluated by comparison of Accuracy, Kappa, TP Rate, FP Rate and F-Measure. The best method was suggested based on reproducibility evaluation at the each points of flash flood occurrence and predicted count versus actual count using 4 years data.

• Journal of Korean Society of Transportation
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• v.28 no.6
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• pp.147-158
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• 2010

Studies on the distribution of traffic demands have been proceeding by providing traffic information for reducing greenhouse gases and reinforcing the road's competitiveness in the transport section, however, since it is preferentially required the extensive studies on the driver's behavior changing routes and its influence factors, this study has been developed a discriminant model for changing routes considering driving conditions including traffic conditions of roads and driver's preferences for information media. It is divided into three groups depending on driving conditions in group classification with the CART analysis, which is statistically meaningful. And, elements of the driving conditions and the preferred media affecting the change of paths are classified into statistical meaningful groups through the CHAID analysis, and the major factors affecting the change of paths are examined. Finally, the extent that driving conditions and preferred media affect a route change is examined through a discriminant analysis, and it is developed a discriminant model equation to predict a route change. As a result of building the discriminant model equation, it is shown that driving conditions affect a route change much more, the entire discriminant hit ratio is derived as 64.2%, and this discriminant equation shows high discriminant ability more than a certain degree.

• Journal of Global Scholars of Marketing Science
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• v.8
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• pp.207-232
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• 2001

Many customer satisfaction studies have accepted the confimation/disconfirmation paradigm, but the findings as the antecedents of consumer satisfaction are mixed. So rather than asking whether or not there is a direct effect of a certain variable on satisfaction, it is necessary asking when does a certain variable have a direct effect on satisfaction. According to this result, we assume that the situation has a direct effect on satisfaction. So this study has investigated the moderating role of perceived heterogeneity as a unit of situation, in the process of customer satisfaction formation, especially on public service. We have found such thing as follows. 1) situation has an effect on customer satisfaction. 2) perceived heterogeneity of the customers, as a situation variable, lets the process of their satisfaction formation differ. 3) through these studies, the confirmation/disconfirmation paradigm are able to extend on public services.

• Journal of Practical Engineering Education
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• v.15 no.3
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• pp.671-679
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• 2023

This study aims to establish an evaluation model by quantifying the evaluation index as a follow-up study to the development of evaluation index for work-study parallel learning companies. An evaluation model was established by verifying the 2nd level components based on the quantitative factors of the learning company, the qualitative factors, the competency factors of the person in charge, and the competency factors of the learning workers, which are the highest-level components derived from previous study. For the evaluation of a learning company, an AHP survey was conducted with experts in charge of the company consulting to derive important factors that determine the quality of on-site education and training, and the evaluation model of the learning company was completed and grouped by calculating the weight between evaluation items proceeded. Work-study parallel program was promoted as a key policy to resolve the mismatch between industrial sites and school education and realize a competency-centered society, and as of December 2022, 16,664 companies participated in the training. Learning companies play a very important role as education and training supply organizations that conduct field training. It is expected that the support and consulting plan for each level of learning companies according to the evaluation model presented in this study will be used as basic data to improve the quality of work-study parallel program.

• Journal of the Korean Society for information Management
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• v.30 no.3
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• pp.207-228
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• 2013

The purpose of this study is to reveal the influence of the expectation and perceived performance of the online science & technology information service quality on user satisfaction and royalty. To achieve this goal, we use the NDSLQual model to measure the quality of NDSL service. The results were as follows: First, among seven expectation factors, four factors (reliability, convenience, system usability and information quality) had a positive effect on the user satisfaction. Second, while service recovery had a negative effect on the royalty, the other six factors (reliability, convenience, system usability, responsiveness, security and information quality) had a positive effect on the royalty. Third, among seven perceived performance factors, three factors (reliability, convenience and information quality) had a positive effect on the user satisfaction. Fourth, among seven perceived performance factors, three factors (reliability, convenience and information quality) had a positive effect on the royalty. As a result, information quality, reliability and convenience of the expectation and perceived performance are common factors influencing user satisfaction and royalty.