• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.717-725
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• 2020

The purpose of this paper is to highlight the impact of the performance of private wealth management (PWM) on the growth of retail banking in Indonesia. The variables used are bank's competitiveness, risk management, performance of private wealth management, and growth of retail banking business. The data were collected from 60 respondents from 32 banks over five months, from October 2018 to March 2019. Using partial least square path modeling, the analysis shows that the performance of private wealth management has an impact on the growth of retail banking sector in Indonesia. Bank competitiveness and risk management affect the performance of personal wealth management and have an impact on the growth of the retail banking business. Bank competitiveness is the variable that most influences the performance of private wealth management in Indonesia. This research found that market share is the most significant indicator of bank competitiveness. For risk management, significant indicators are the level of bank confidence, increased bank competitiveness, and the creation of new products. In the performance of the private wealth management variable, the most significant indicator is the revenue fee-based income. For the growth of retail banking business, a clear indicator is profit growth.

• Journal of Korean Library and Information Science Society
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• 제47권3호
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• pp.365-382
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• 2016

In this paper, impact of science and technology information service quality satisfaction and perceived importance on the user loyalty was studied to find the way of improvement of information service quality. To analyze the impact among service quality variables, the research questions and hypothesis are set and statistical analysis on 641 survey answers was conducted. The correlation between satisfaction and perceived importance regarding each service quality item was high. Relationship between satisfaction of every item of the service quality and overall satisfaction was verified by multiple regression analysis. As a result, the five out of seven independent variables are statistically significant influence to the dependent variable. Relationship between the perceived importance and loyalty for each item was verified by multiple regression analysis was confirmed that the four out of seven independent variables are statistically significant influence to the dependent variable. The overall satisfaction is having an effect on loyalty verified through simple regression analysis.

• IE interfaces
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• 제19권1호
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• pp.86-96
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• 2006

Some customer data of manufacturing industries have a large number of incomplete data set due to the customer's infrequent purchasing behavior and the limitation of customer profile data gathered from sales representatives. So that, most sophisticated data analysis methods may not be applied directly. This paper proposes a heuristic data analysis method to classify customers in household appliances industries. The proposed PD (percent of difference) method can be used for the discriminant analysis of incomplete customer data with simple mathematical calculations. The method is composed of variable distribution estimation step, PD measure and cluster score evaluation steps, variable impact construction step, and segment assignment step. A real example is also presented.

• International journal of advanced smart convergence
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• 제11권4호
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• pp.177-184
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• 2022

The purpose of this study is to provide implications by conducting research on brand benefits for skiwear brand customers. For this purpose, a structural equation model was established and empirical research was conducted by selecting brand convenience as a hygiene variable and brand emotion, brand satisfaction, and repurchase intention as endogenous variables. In order to analyze the general characteristics of the subjects, frequency analysis was conducted using SPSS 25 and Cronbach's alpha analysis was conducted using the same statistical program. Confirmatory factor analysis and path analysis were conducted using AMOS 21. In addition, the benefits of skiwear brand, which is an independent variable, were composed of two sub-dimensions, and psychological benefits rather than functional benefits were found to have a stronger impact on brand emotion, suggesting practical implications.

• Journal of Environmental Impact Assessment
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• 제16권6호
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• pp.381-391
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• 2007

The air quality modeling was carried out to assess the impact of air quality for large scale urban development. The site for the assessment is Multi-fuctional Administrative City which locates in Yeongi-gun, Chungcheongnam-do and estimated population in 2030 is 500,000. Two automatic weather monitoring stations were installed to monitor the meteorological variables for a year and upper air meteorological parameters were measured using radiosonde for 5 days with 4 hours interval in every season. The air quality of standard air pollutants were also measured for 5 days continuously in every season. The results of wind field analysis based on the site measurements and CALMET modeling showed that the valley and mountain winds were prevailed when the sypnotic wind was weak. It also showed that wind speed and directions were highly space-variable within the site basin. The variable wind characteristics implies that the Gaussian dispersion model such ISC3 and AERMOD are not appropriate and the unsteady-sate Lagrangian model such as CALPUFF is preferable. CALPUFF model was applied to assess air quality impact of new sources. The new sources were those for individual and group heating facilities as well as the traffic increases. The results showed that the estimated concentrations of CO and $SO_2$ pollutants by summing the impact concentration of new sources by the dispersion model and the ambient air concentrations by the site measurements were acceptable but those of PM-10 and $NO_2$ would violate ambient air quality standards at several locations due to high ambient air concentrations. It is recommended that the emission reductions near the site should be enforced to improve the ambient air quality.

• Asia-Pacific Journal of Business
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• 제10권3호
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• pp.125-142
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• 2019

The study wanted to verify the effect of emotional sub-compression, a negative variable of emotional labor, on job performance, on security personnel working at private security companies, and further to verify how the impact on emotional sub-compression can affect job performance through the first draft of regulation. Empirical analysis through the study model showed that emotional edema was not a significant effect, but a negative effect on job performance, and that it did not affect the control focus itself. This revealed that emotional harmony has been shown to have a negative impact on performance due to the present state and conflicting situations in one's emotions, which means that emotional harmony does not affect negative or positive effects depending on a person's attributes. It also showed that the temperamental control focus on job performance had a positive impact on employees with an improvement focus and had a negative impact on employees with a preventive focus, and that a temperamental control focus between emotional dissonance and job performance had an effect. This indicated that job performance was affected by a temperamental control focus and that employees with an improvement focus had a positive effect and had a positive effect on performance. The implications of the study in this study are that it can have target differentiation in the areas where the study was conducted on guard workers, a social issue related to the study of emotional labor, and it can be meaningful that the study of emotional labor had a control focus and measured both positive and negative tendencies. It is also believed that there will be contributions to the verification of differences in performance resulting from employee propensity and by linking it with a variable called emotional instability. However, the data collected have the limitations of the subject and region, and the emphasis on cross-sectional analysis and the representative of the various emotions to verify the negative effects of emotional labor, and the problem of securing reliability related to the adjustment focus verification are the limitations of the research.

• Journal of Navigation and Port Research
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• 제47권4호
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• pp.202-211
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• 2023

In maritime accidents, collisions involving fishing vessels are more frequent and severe than those involving other types of vessels. Previous cases of collision accidents caused by fishing vessels causing serious damage implied that fishing vessels maintained high speeds until just before the collision and that they collided with much larger vessels. This study investigated the correlation between the severity of ship damage resulting from fishing vessel collisions and the vessel's speed. The effective impact speed commonly used in the road transport sector was utilized to analyze ship collision accidents. The study collected collision data between fishing vessels and between fishing vessels and non-fishing vessels from accident investigation reports from 2016 to 2022. The effective impact speed was calculated for a total of 617 vessels. After using binary and multinomial logistic regression methodology, the analysis was carried out with effective impact speed as the independent variable and severity of accident as the dependent variable. The analysis revealed a statistically significant correlation between the effective impact speed and the severity of ship damage, indicating that the severity of ship damage is influenced not only by the effective impact speed but also by the tonnage of the vessel.

• Journal of the Korean Operations Research and Management Science Society
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• 제42권2호
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• pp.35-48
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• 2017

As the technology convergence paradigm emerges, the need for "CIA techniques" to analyze the mutual effects of technology is increasing. However, since the CIA input parameter estimation is difficult, the present study suggests a "CIA input parameter setting model" to alleviate the difficulty of CIA input parameter estimation. This paper is focused on the difference of measurement difficulty by each scale which expert's estimation behavior was defined as measurement activity quantifying the judgment of future technology. Therefore, this model is designed to estimate the input variable as a sequence or isometric scale that is relatively easy to measure, and then converts it into a probability value. The input parameter setting model of the CIA technique consists of three sub-models : 'probability value derivation model', 'influence estimation model', and 'impact value calculation model', in order to develop a series of models the Thurstone V model, Regression Analysis, etc has been used.

• Journal of Korean Society of Industrial and Systems Engineering
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• 제34권2호
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• pp.35-48
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• 2011

In this paper, we have studied the impact of adopting XBRL (eXtensible Business Reporting Language) on information asymmetry in capital markets with the additional research on the usefulness of XBRL data how to improve the quality of accounting information. From the Kosdaq XBRL service, the samples are selected including 38 adopted companies and the 30 non-adopted companies for the paired analysis. The daily stock return volatility (VOLA) as independent variable and other several controlling variables have been added for the regression analysis to measure the impact on information asymmetry in capital markets. he analytical result indicated that the asymmetry hypotheses that XBRL data will give a significant impact on the capital market and will reduce the volatility, which are expected in the hypotheses. This is the first analytical research on the capital market and its impacts to the capital market from adopting XBRL based accounting information. Additionally, the analysis showed the impacts on the reporting cycle of accounting information and its usefulness of accounting data itself.

• Journal of Information Technology Applications and Management
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• 제9권3호
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• pp.79-95
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• 2002

As the budget size and complexity of 1T investment are growing, IT value measurement becomes more critical to the success of IT management In public organizations and private firms. It has been known that there are many factors such as IT costs, risks, qualify, and usage that should be taken Into consideration during the process of measuring IT value and making IT Investment decisions. However, little research has been done so far In order to analysis factors affecting the IT value and effectiveness. The purpose of this study Is to Investigate the impact of IT Project types and ownerships on IT value evaluation. The three research questions are as follows : (1) Does IT project type such as transactional, Informational, and infrastructure have any impact on 1T value measurement\ulcorner (2) Does the IT development ownership has any Impact on IT value\ulcorner (3) Does the IT operation ownership has any impact\ulcorner The empirical research was done at S-Electronics, world-wide known and the biggest manufacturing company in Korea, based on the method of structured interview. About 200 individual Information systems have been evaluated to calculate ROI measures, the dependent variable In this study. The results of statistical analysis show that two of three Independent variables, IT project types and IT development ownership, have statistically significant effects on IT value in terms of ROI measures.