• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.803-810
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• 2020

This objective of this study is to enrich the literature by the debt ratio and enterprise performance of Joint stock companies of Vietnam National Coal and Mineral Industries Holding Corporation Limited (Vinacomin). The debt ratio is an important index of capital structure, and it influences and decides the enterprise performance. Therefore, the determination of reasonable debt ratio level is beneficial to the stable operation of Vinacomin's enterprises. Based on the research conclusion about the effect on capital structure of debt ratio from domestic and foreign scholar, collecting data from 2014-2018 of Vinacomin's enterprises as a research sample, the article conducts research on the relationship between debt ratio and business performance of Vinacomin, as measured by return on total Assets. In addition, the study uses free cash flow, company size, growth opportunity, investment opportunities, operating costs to sales ratio as control variables.The study shows the debt ratio of Joint stock companies of Vietnam National Coal and Mineral Industries Holding Corporation Limited has a negative effect on the enterprise performance. Furthermore, the research results of the article are references for Vinacomin' enterprises in the course of production and business activities, determining a reasonable debt ratio, and improving the operational performance of enterprises.

• ETRI Journal
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• v.42 no.5
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• pp.686-699
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• 2020

In this paper, we propose a supervised-learning-based spatial performance prediction (SLPP) framework for next-generation heterogeneous communication networks (HCNs). Adaptive asset placement, dynamic resource allocation, and load balancing are critical network functions in an HCN to ensure seamless network management and enhance service quality. Although many existing systems use measurement data to react to network performance changes, it is highly beneficial to perform accurate performance prediction for different systems to support various network functions. Recent advancements in complex statistical algorithms and computational efficiency have made machine-learning ubiquitous for accurate data-based prediction. A robust network performance prediction framework for optimizing performance and resource utilization through a linear discriminant analysis-based prediction approach has been proposed in this paper. Comparison results with different machine-learning techniques on real-world data demonstrate that SLPP provides superior accuracy and computational efficiency for both stationary and mobile user conditions.

• Journal of the Korean Society of Propulsion Engineers
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• v.19 no.2
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• pp.38-45
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• 2015

This paper describes an ejector design technique which used for simulating low pressure environment corresponding to high altitude. Also the ejector performance characteristics was investigated according to performance and geometric variables by cold gas flow test. Entrainment ratio, compression ratio and expansion ratio were designated as performance variables and an ejector gap ratio was designated as a geometric variable. A relationship between the performance variables to predict the ejector performance was identified and it was confirmed that the performance variables have much more effective than the ejector gap ratio through the ejector cold gas flow test.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.141-151
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• 2021

This study aims to: 1) analyze the effect of leadership style on job satisfaction and organizational commitment, 2) analyze the effect of leadership style, job satisfaction and organizational commitment on employee performance, 3) examine the indirect effect of leadership style on employee performance mediated by job satisfaction and organizational commitment. The population of this research is all employees who have structural positions totaling 95 respondents. The sample was selected using the census technique, resulting in a total of 95 respondents in the research sample. Methods of data collection was using a questionnaire. The research model is structural so that the research data is analyzed using SEM Smart PLS 2. Research results: 1) leadership style has a positive and significant effect on job satisfaction and organizational commitment, 2) leadership style, job satisfaction, and organizational commitment have a positive and significant effect on employee performance, 3) Job satisfaction and organizational commitment mediates the influence of leadership style on employee performance, and has a positive and significant effect. Indirect influence gives stronger results than direct influence. As a result, it is hoped that university leadership will use an effective leadership style and pay attention to employee work satisfaction and commitment to boost employee performance.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.795-806
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• 2021

This study analyzes and assesses the effect of good governance consisting of accountability, transparency, and participation on the financial performance of Pare-Pare City local government moderated by the basic values of Siri culture in the form of Lempu (honesty), Amaccangeng (intelligence), and Awaraningeng (courage). The population of this research is 200 local government employees (respondents). The results of data analysis showed that accountability and participation variables had no significant effect on the financial performance of the Pare-Pare City local government. However, the transparency variable has an influence on local government financial performance. It is hoped that all these 3 variables (accountability, transparency, and participation) will have a significant effect on local government financial performance. To achieve this, it is necessary to apply cultural values that exist in society so that cultural values can provide greater guidance in the management of regional finances. The results provide a better understanding of the importance of Siri's cultural value in the implementation of public services to the community. With Siri's cultural values in the form of Lempu, Amaccangeng, and Awaraningeng embedded in their behavior, government employees can improve performance and avoid deviant behavior or corruption. The novelty of this research is a form of analysis by using local cultural values (the basic values of Siri culture) as the moderating variable.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.591-601
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• 2021

This study examined the effect of branding capability on business performance moderated by learning capability. This study was conducted with small- and medium-sized enterprises (SMEs) of coffee cafes in the ex-Besuki region, East Java, Indonesia, covering four regencies located around coffee-producing areas with geographical indication (GI) certification. 150 managers of coffee cafe were sampled using the census technique. Data were collected by questionnaires distributed to the coffee cafe managers. The data were then analyzed by using simple regression analysis, Moderation Regression Analysis (MRA) and Moderated MultiGroup Analysis (MMA). The results showed that learning capability positively and significantly affect business performance, and learning capability moderated/enhanced the effect of branding capability on business performance. The findings of this study suggest that branding capability and learning capability play a crucial role in the performance of coffee cafe business especially in the dynamic environment. Coffee cafe managers need to take concrete steps to improve their branding capability and learning capability and they also need to improve their ability to interact with their environment and be committed in managing the coffee cafe. Therefore, it is imperative that the role of branding capability and learning capability be optimized in order to improve the business performance of the coffee cafe.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.123-132
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• 2023

This study seeks to determine if the efficiency of bank human resources, as played by human capital, impacts the performance and diversification of banks. This study uses secondary data from data obtained from 385 commercial banks in 33 countries in Asia during the 2010-2020 period with the diversification analysis method. We use the Z-score to measure the amount of standard deviation that must be from earnings (ROAA). We examined it using the Tobit regression technique. According to the regression estimation results, human capital has a significant role in the performance and effective diversification of Asian banks. The human capital efficiency coefficient (HCE) is significantly negative with the cost-to-income ratio (CTIR) and significantly positive with Profitability, Financial Stability, and cost efficiency score. The level of efficiency of human resources has an effective role in increasing human capital which has an impact on bank diversification and performance. The development of human resources in a human capital framework plays an important role in the diversification and improvement of bank performance. Human capital has a significant role in the performance and effective diversification of Asian banks. The level of efficiency of human resources has an effective role in increasing human capital which has an impact on bank diversification and performance.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.1
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• pp.183-193
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• 2020

This study presents a more comprehensive approach to investigate how Emotional Intelligence (EI) is associated with performance. Previous research has revealed that EI is related to positive outcomes such as better performance, life satisfaction and career success. However, in most research of EI, this factor has been investigated independently from the effect of contextual factors and other individual characteristics. This study extended the research on the impact of EI on student performance by simultaneously examining the impact of EI, individual factors - (1) Perseverance of Effort, (2) Goal Consistency and (3) Goal Clarity and learning environment factors - Program Fit in one study. The results based on the data collected from 1,117 students in Vietnam largely support the hypothesis that that EI was an important but not the only factor affecting the student performance. MANOVA and post-hoc analysis indicated that both individual and environmental factors better predicted performance than EI could. These results suggest that the impact of EI on individual performance is more complicated than what we have already known. Future study is encouraged to investigate both the mechanism through which EI impact individual performance and the interaction between EI and other factors that moderate the EI - performance relationship.

• The Journal of Korean Academic Society of Nursing Education
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• v.17 no.1
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• pp.80-89
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• 2011

Purpose: The purpose of this study was to discover the effect of emotional intelligence on organizational performance in clinical nurses regarding anger expression, job satisfaction, job commitment, and turnover intention. Methods: Data were collected by self-administered questionnaires from 162 clinical nurses in three university hospitals in 2008, and analyzed by the SPSS 14.0 Window program, using descriptive statistics, pearson correlation, and stepwise multiple regression. Results: Emotional intelligence showed a statistically significant association with each of anger expression-in, anger expression-control, job satisfaction, job commitment, turnover intention, and organizational performance. The multiple regression analysis also showed that organizational performance was statistically significant with job satisfaction, job commitment, and emotional intelligence respectively. 38.0% of the variation of organizational performance was explained by these variables. Conclusion: Emotional intelligence significantly affected organizational performance together with job satisfaction and job commitment. From this result, it could be concluded that nursing interventions for emotional intelligence have a positive effect on improving organizational performance. Further studies are needed to develop nursing intervention programs for emotional intelligence and test its effects on organizational performance.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.4
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• pp.286-294
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• 2016

In the initial design stage, the geometry of systems needs to be optimized regarding its performance. However, performance analysis is very time-consuming. Therefore, optimization becomes difficult/impossible problems because we need to evaluate the system performance for alternative design cases. To overcome this problem, many researchers perform prediction of system performance using the approximation model. The response surface method (RSM) is typically used to predict the system performance in the various research fields, but it presents prediction errors for highly nonlinear systems. The major objective of this paper is to propose a proper prediction method for marine system problems. Case studies of marine systems (the substructure of a floating offshore wind turbine considering hydrodynamic performance and bulk carrier bottom stiffened panels considering structure performance) verify that the proposed method is applicable to performance prediction in marine systems.