• Journal of the Korean Applied Science and Technology
• /
• v.37 no.4
• /
• pp.936-943
• /
• 2020

The purpose of this study was to examine the effect of service quality on customer satisfaction and behavior intention of screen golf. Also emphasized the importance of service quality and tried to identify the mediating role between customer satisfaction and behavior intention. The 485 person who experienced purchasing behavior of screen golf were analyzed and chosen from located in Korea. For the purpose of this study, frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, simple regression and multiple regression analysis of SPSS Statistics ver. 20 were performed. The research results of this study indicate that First, service quality had a significant influence on customer satisfaction in order of facilities, services, human resources and prices. Second, customer satisfaction had a significant influence on behavior intention. Third, service quality had a significant influence on behavior intention in order of facilities, price, service and human resources.

• Journal of Digital Convergence
• /
• v.17 no.8
• /
• pp.293-301
• /
• 2019

The purpose of this study was to explore the relationship andinfluence of Focusing manner to deal with somatization symptoms of adolescents with experience of cyberbullying. For this study, we conducted on teenagers aged 14 to 19. A total of 366 of these results -84 men (23%) and 282 women(77%)- were used for the analysis. Data was analyzed through frequency analysis, reliability analysis, correlation analysis, and multiple regression analysis. As a result, cyber-bullying experiences have a positive effect on somatizaion symptoms. Among the sub-factors of focusing manner, "knowledge" and "reviewing" have a negative effect on somatizaion symptoms, and "expression" has an negative effect on somatizaion symptoms. Based on the results of the study, the need for a therapeutic approach to focusing manner was presented when appealing for somatizaion symptoms of adolescents who experienced cyberbullying.

• Journal of the Korea Convergence Society
• /
• v.12 no.5
• /
• pp.79-84
• /
• 2021

The objective of this paper is to find out the factors for the performance of the Hospital Customer Relationship Management (HCRM) system. Furthermore, the relationships between these factors have been analyzed. In order to analyze the performance of the HCRM system, factor analysis with several Key Performance Indicators (KPIs) was conducted. And also multiple regression analysis and Chi-square test were executed. In this study, several hypotheses were derived to analyze the relationships between factors of performance of HCRM system. These hypotheses were tested by using the Structural Equation Model (SEM). As the result of this study, we discovered the HCRM-Infrastructure has positive effects on the HCRM-Performance. And the HCRM-Performance has also positive influences on the hospital management performance. On the basis of the research result, we proposed some suggestions and guidelines for the successful implementation and improvement of HCRM system.

• Journal of the Society of Disaster Information
• /
• v.19 no.2
• /
• pp.383-394
• /
• 2023

Purpose : This study focuses on improvements in cell broadcast service(CBS) with consideration of socially vulnerable groups, and identifies service factors necessary for elderly people in particular. Method : Multiple regression analysis was applied to test overall satisfaction with cell broadcast service as the dependent variable and each of the service factors as the independent variable. Result : The results showed that fast delivery had the greatest effect on overall satisfaction with cell broadcast service in both groups, followed by the delivery of sufficient content for the elderly group and system quality for the non-elderly group. The results demonstrated that the elderly group cared more about information content, while the non-elderly group considered functions such as system quality and text message transmission criteria more important. Conclusion : Elderly people consider the delivery of sufficient information important as well as fast delivery, which suggests that it is necessary when sending cell broadcast service to give consideration to the characteristics of elderly people, as they tend to have weaker understanding and thinking abilities than the non-elderly.

• Economic and Environmental Geology
• /
• v.44 no.2
• /
• pp.135-152
• /
• 2011

Nitrate concentrations in springs at the southern slope of Jeju Island were predicted using multiple linear regression (MLR) of spatial variables including hydrogeological parameters and land use characteristics. Springs showed wide range of nitrate concentrations from <0.02 to 86 mg/L with a mean of 20 mg/L. Spatial variables were generated for the circular buffer when the optimal buffer radius was assigned as 400 m. Selected regression models were tested using the p values and Durbin-Watson statistics. Explanatory variables were selected using the adjusted $R^2$, Cp (total squared error) and AIC (Akaike's Information Criterion), and significance. In addition, mutual linear relations between variables were also considered. Small portion of springs, usually <10% of total samples, were identified as outliers indicating limitations of MLR using circular buffers. Adjusted $R^2$ of the proposed models was improved from 0.75 to 0.87 when outliers were eliminated. In particular, the areal proportion of natural area had the greatest influence on the nitrate concentrations in springs. Among anthropogenic land uses, the influence of nitrate contamination is diminishing in the following order of orchard, residential area, and dry farmland. It is apparent quality of springs in the study area is likely to be controlled by land uses instead of hydrogeological parameters. Most of all, it is worth highlighting that the contamination susceptibility of springs is highly sensitive to nearby land uses, in particular, orchard.

• Journal of the Society of Naval Architects of Korea
• /
• v.51 no.6
• /
• pp.530-538
• /
• 2014

The weight estimation of floating offshore structures such as FPSO, TLP, semi-Submersibles, Floating Offshore Wind Turbines etc. in the preliminary design, is one of important measures of both construction cost and basic performance. Through both literature investigation and internet search, the weight data of floating offshore structures such as FPSO and TLP was collected. In this study, the weight estimation model was suggested for FPSO. The weight estimation model using non-linear regression analysis was established by fixing independent variables based on this data and the multiple regression analysis was introduced into the weight estimation model. Its reliability was within 4% of error rate.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2002.05b
• /
• pp.1334-1339
• /
• 2002

The objective of this study is to help practicing engineers easily use the Clark model which is used for estimating the magnitude of design flood for small stream. A representative unit hydrograph was derived on the basis of the past rainfall-runoff data and unit hydrographs, and the storage coefficient of Clark model was estimated by using hydrograph recession analysis. Since the storage coefficient(K) is a dominating factor among the parameters of Clark method, a mulitple regression formula, which has the drainage area, main channel length and slope as parameters, is propsed to estimate K value of a basin where measured data are missing. The result of regression analysis showed that there is a correlation between a storage coefficient(K) and aforemetioned three parameters in homogenious basins. A regression formular for K was derived using these correlations in a basin of Han River, Nakdong River, Young River, Kum River and Sumjin River

• Journal of KIISE:Computing Practices and Letters
• /
• v.15 no.8
• /
• pp.596-600
• /
• 2009

To support an efficient management of software verification and validation activities, many defect prediction models have been proposed based on object oriented metrics. They usually adopt logistic regression analysis, And, they state that the correctness of prediction is about 60${\sim}$70%, We performed a similar experiment with Eclipse 3.3 to check their prediction effectiveness, However, the result shows that correctness is about 40% which is much lower than the original results. We also found that univariate logistic regression analysis produces better results than multivariate logistic regression analysis.

• Journal of the Korean Data and Information Science Society
• /
• v.26 no.2
• /
• pp.387-397
• /
• 2015

In this paper, the determinants of the number of job changes in the SMEs (small and medium enterprises) youth-intern project is analysed, utilizing SMEs youth-intern DB and employment insurance DB. Since the number of job changes are count data which take integer values other than negative values, general linear regression analysis becomes inappropriate. Therefore, four models such as Poisson regression model, zero inflated Poisson regression model, negative binomial regression model and zero inflated negative binomial regression model are tried to fit count data. A zero inflated negative binomial regression model is selected to be the best model. Major results are the followings. First, the number of job changes is shown to be significantly smaller in the treatment group than in the control group. Second, the number of job changes turns out to be significantly smaller in the young-age group than in the old-age group. Third, it is also shown that the number of job changes of man is significantly greater than that of woman. Lastly, the number of job changes in the bigger firm is shown to be significantly less than that of the smaller firm.

• Journal of the Korea Institute of Building Construction
• /
• v.21 no.5
• /
• pp.495-506
• /
• 2021

A Conceptual cost estimate, which is computed in the preliminary step of a project, is important for decision-making by a contractor in terms of the project budget, economic feasibility and validity analysis, and alternative comparisons. Therefore, a high error rate of a prediction model for a conceptual cost estimate can lead to various problems including excessive project expenditures and a delayed break-even point. this study proposed optimal impact factors by configuring quantitative impact factors computable in a preliminary step in various cases(combinations of impact factors). subsequently, the accuracy of different cases was comparatively analyzed by using the cases as input values of a prediction model using regression analysis. when the optimal combination of impact factors proposed in this study and other combination of impact factors were applied to the prediction model, the regression analysis-based prediction model exhibited 0.2-4.7% improvements in accuracy, respectively. the optimal combination of impact factors proposed in this study improved the accuracy of the prediction model of a conceptual cost estimate by removing unnecessary impact factor.