• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.727-734
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• 2021

The study aims to examine and analyze the factors that affect the return on assets (ROA) by placing net interest margin (NIM) as a moderating variable in influencing ROA. This research was conducted on 27 banks listed on the Indonesia Stock Exchange (IDX) for the period 2015 to 2018 with a total sample data of 91. The data used is a combination of time series data and cross-section data. The sampling technique used was the purposive sampling method. The data analysis technique used was path analysis with multiple regression analysis technique. The results of the analysis showed that the capital adequacy ratio (CAR) and loan to deposit ratio (LDR) have a positive but insignificant effect on ROA. NIM as a moderating variable does not influence the impact of CAR on ROA. However, NIM as a moderating variable is able to influence the impact of LDR on ROA. From the results of this study, it is evident that the LDR will increase the ROA at banks that generate high NIM.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.4
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• pp.59-66
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• 2020

In this study, we consider the problem of forecasting the number of inbound foreigners visiting Korea. Forecasting tourism demand is an essential decision to plan related facilities and staffs, thus many studies have been carried out, mainly focusing on the number of inbound or outbound tourists. In order to forecast tourism demand, we use a seasonal ARIMA (SARIMA) model, as well as a SARIMAX model which additionally comprises an exogenous variable affecting the dependent variable, i.e., tourism demand. For constructing the forecasting model, we use a search procedure that can be used to determine the values of the orders of the SARIMA and SARIMAX. For the exogenous variable, we introduce factors that could cause the tourism demand reduction, such as the 9/11 attack, the SARS and MERS epidemic, and the deployment of THAAD. In this study, we propose a procedure, called Measuring Impact on Demand (MID), where the impact of each factor on tourism demand is measured and the value of the exogenous variable corresponding to the factor is determined based on the measurement. To show the performance of the proposed forecasting method, an empirical analysis was conducted where the monthly number of foreign visitors in 2019 were forecasted. It was shown that the proposed method can find more accurate forecasts than other benchmarks in terms of the mean absolute percentage error (MAPE).

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.555-558
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• 2002

Sales Rate is a key parameter whose indications on real estate market plays a key role in prospecting and establishing governmental policies and strategies for Condominiums. However, it's not easy to present systematic model for tracing the effects of this parameter on sales rate without definite concept and relations with sales rate. Therefore, this study (1) derives factors affecting Sales Rate of Condominiums, (2) specially, gives an analysis of correlation with variable for the rest of factors based on economic factors, and then finds out its influential relation, (3) presents diagrammatic analysis model of all impact variables by factor to grasp on the whole for Sales Rate of Condominiums.

• The Journal of Korea Robotics Society
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• v.10 no.4
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• pp.200-212
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• 2015

In classical dynamics, the coefficient of restitution is one of variables to estimate the amount of impulse. In general, we have considered the coefficient of restitution as a constant value. However, coefficient of restitution (COR) is the function of contact material and colliding velocity. Furthermore, COR is also a function of contact area. Thus, without considering the variable characteristic of COR, the actual motion of an object just after impact is not the same as we expect. A general COR model is proposed in this work and its effectiveness is verified through a cart impact experiment and its result is applied to simulation of a ball impact problem. A three-degree-of-freedom manipulator is employed as a test-bed.

• The Journal of Industrial Distribution & Business
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• v.8 no.1
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• pp.33-39
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• 2017

Purpose - The main purpose of the current study is to examine the impact of accounting information quality and information asymmetry on the underinvestment phenomenon among the listed companies on the Tehran Stock Exchange (TSE). Research design, data, and methodology - The population includes 94 firms selected through systematic sampling. The data is collected from the audited financial statements of the firms provided by TSE's website from 2010 to 2015. Accounting information quality and information asymmetry is considered as independent variables, and their impact is examined on the dependent variable (underinvestment). Results - The statistical results, based on data collected from 94 listed companies on the TSE during 2010-2015, revealed positive impact of accounting information quality and positive impact of information asymmetry on underinvestment. There was a significant relationship between accrual quality (AQ) and underinvestment, and spread and underinvestment. The results also showed that information asymmetry is the main factor in the creation underinvestment. Conclusions - Findings of this article can assist accounting researchers and theoreticians in comparing Real world facts with hypotheses developed with respect to accounting information quality, information asymmetry and underinvestment. However, the results of fuzzy regression analysis indicate significant relationships between the independent variable except underinvestment.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2012.10a
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• pp.750-755
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• 2012

In this study we conduct the optimal spot-weld layout design of vehicle body structure considering dynamic stiffness and side impact. We conduct both linear static analysis and nonlinear analysis with a baseline model to verify the process. 13 design variables will be selected for the effect analysis. Then, topology optimization is conducted to each selected design variable. The design constraints are formulated to improve the dynamic stiffness and side impact performance. Objective function is to set the density of weld component. Optimal spot-weld layout design are compared with the baseline model to show the improvement.

• Korean Journal of Human Ecology
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• v.15 no.6
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• pp.1025-1035
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• 2006

Brand Relationship Quality(BRQ) reflects the intensity and viability of the enduring association between a consumer and a brand so it is assumed to be the indicator which can affect brand performance such as brand satisfaction, brand attitude, and brand loyalty. The purpose of this study is to analyze the structural equation model showing the path between BRQ and brand performance. The subjects were women in their 20s to 40s living in Seoul and other metropolitan areas. 482 copies of questionnaire were analyzed by reliability, Pearson's correlation analysis, confirmatory factor analysis using SPSS 11.0 Package and AMOS 5.0 Package. The results showed that BRQ had positive influence on the brand performance-brand satisfaction, brand attitude, brand loyalty. As for the total effect about brand loyalty, BRQ was the most influential variable compared with other variables- brand satisfaction, brand attitude. The indirect impact of BRQ on brand loyalty is bigger than the direct impact of BRQ and brand satisfaction emerged as the important intermediate variable between BRQ and brand loyalty. Therefore, effective marketing strategy can be accomplished according to differential impact of the BRQ facets to induce consumer's satisfaction, which can lead to brand loyalty.

• Health Policy and Management
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• v.30 no.3
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• pp.399-408
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• 2020

Background: The purpose of this study was to examine the impact of the regional characteristics on the accessibility of emergency care and the impact of emergency medical accessibility on the patients' prognosis and the emergency medical expenditure. Methods: This study used the 13th beta version 1.6 annual data of Korea Health Panel and the statistics from the Korean Statistical Information Service. The sample included 8,119 patients who visited the emergency centers between year 2013 and 2017. The arrival time, which indicated medical access, was used as dependent variable for multi-level analysis. For ordinal logistic regression and multiple regression, the arrival time was used as independent variable while patients' prognosis and emergency medical expenditure were used as dependent variables. Results: The results for the multi-level analysis in both the individual and regional variables showed that as the number of emergency medical institutions per 100 km² area increased, the time required to reach emergency centers significantly decreased. Ordinal logistic regression and multiple regression results showed that as the arrival time increased, the patients' prognosis significantly worsened and the emergency medical expenses significantly increased. Conclusion: In conclusion, the access to emergency care was affected by regional characteristics and affected patient outcomes and emergency medical expenditure.

• Journal of the Korea society of information convergence
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• v.6 no.2
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• pp.61-66
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• 2013

In this study, the accounting information systems and Satisfaction with computerized accounting education study. As the control variable, computer usage time and computer experience were used. To sum up the analysis result, Details of the quality of accounting information system, quality system quality, information quality, service quality, satisfaction of computerized accounting education was analyzed significant effect. Used to control variable, computer usage time. Computer usage time of the control variable in the system quality, information quality and significant impact on satisfaction. Computer experience of the control variable in the system quality, information quality and significant impact on satisfaction.

• International Journal of Advanced Culture Technology
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• v.10 no.3
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• pp.85-92
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• 2022

In previous private education expenses were concentrated only on expenses for elementary, middle, and high school students. Therefore, it is difficult to understand the actual condition of preschool children's private education expenses. To solve this problem, we analyze the 2013 and 2020 data of the Korea Welfare Panel to confirm the private education expenditures of pre-school children. Also, we examine the differences and changes in private education expenditures according to household variables. We selected the household variable as the socio-demographic variable of the study subject. We defined the household variable as the area and income of the household. We show the actual results of private education expenses for household variables using frequency analysis, descriptive statistical analysis, t-test, and one-way ANOVA of SPSS 27.