• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.785-793
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• 2021

The purpose of the research is to assess the factors affecting the liquidity of the commercial banks that are conducting mergers and acquisitions activities in Vietnam during the 2008-2018 period. This study employs samples based on 2-component data sets with cross-section and time-series data collected from the annual report of the State Bank and the audited acquisitions financial statements of nine commercial banks engaged in mergers and acquisitions activities. To carry out the research objectives, the authors conducted quantitative analysis through the Pooled OLS, REM, FEM and GMM models. The results shown that: (i) bank liquidity is positively affected by liquidity lagged, the return on equity (ROE) and economic growth; negatively affected by bank size, non-performing loan, short-run loan to deposit ratio; (ii) there is not enough evidence to conclude about the relationship between net profit margin, equity-to-assets ratio and inflation rate to bank liquidity; (iii) notably, we found evidence that, after the mergers and acquisitions, the liquidity of Vietnamese commercial banks decreased. The findings of this study suggest that bank managers take a more comprehensive view of the results of mergers and acquisitions and implications for banks to improve liquidity in the post-merger and acquisitions conditions.

• 한국기후변화학회지
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• 제7권1호
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• pp.19-29
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• 2016

In this study, the emission intensity calculation method of GHGs was developed by considering the characteristics of the models and time series. The telematics device was installed on the car (OBD-II) to collect information on the operation conditions from each sample vehicle of public authorities. Based on emission intensity of GHGs, it presented a methodology of quantitative comparison of GHGs emission by vehicles. Collected driving information of vehicle was used for operating characteristics analysis of the target vehicle, and it was confirmed different operating characteristics through comparison of the results and previous study. GHGs emission intensity were analyzed considering characteristics of vehicle type by passenger car, van, cargo, and considering characteristics of the time series by summer, winter, and intermediate. From the analysis result, it was calculated GHGs emission intensity based on mileage ($g\;CO_2\;eq./km$) and operating time ($g\;CO_2\;eq./sec$).

• 드라이브 ㆍ 컨트롤
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• 제16권2호
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• pp.51-58
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• 2019

In this study, flow analysis and dehumidification experiment were conducted on hollow fiber membrane module to determine the dehumidification characteristics of its various configurations. A quantitative analysis of the CFD for four different models with a temperature of $30^{\circ}C$ and 30%RH inlet humidity was conducted. Each model has different shape parameters i.e. the number of hollow fiber membranes and the presence or absence of baffles. After comparison between the flow analysis results and dehumidification experiment results, the percentage error was found to be approximately 2%. The moisture removal rate for each model was calculated using flow analysis data. It was found that the moisture removal rate of refined model with three baffles and eight hollow fiber membranes was highest among the four modeled modules of hollow fiber membrane one, i.e. about 60%.

• PNF and Movement
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• 제17권2호
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• pp.223-236
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• 2019

Purpose: This research was to develop a module for problem-based learning(PBL) and to enhance the problem-solving abilities of physical therapy students in a neurological physical therapy course and to evaluate the effects of the module using quantitative and qualitative data. Methods: The PBL module was applied to 55 third-year physical therapy students who participated in a neurological physical therapy course at S university in Seoul. Anonymous self-report questionnaires and reflection journals were collected, and the data were analyzed. Results: The results of the analysis showed that the academic achievements of the students who participated in the first PBL class improved compared to the academic achievements of the students who had participated in the same class in the previous semester. Second, the students who participated in the PBL class evaluated the PBL as a very effective learning method for developing clinical practical ability. Third, the students of the PBL class showed increased cooperation and communication abilities between team members. Conclusion: The results of this study indicated that, if PBL class case studies and various types of teaching and learning methods appropriate for theoretical and practical fields are continuously studied, then it is expected that teaching models will be developed that can develop flexibility and creativity among preliminary physical therapists in a rapidly changing medical environment.

• 방사성폐기물학회지
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• 제19권1호
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• pp.75-85
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• 2021

Evaluating the quantitative damage to rocks through acoustic emission (AE) has become a research focus. Most studies mainly used one or two AE parameters to evaluate the degree of damage, but several AE parameters have been rarely used. In this study, several data-driven models were employed to reflect the combined features of AE parameters. Through uniaxial compression tests, we obtained mechanical and AE-signal data for five granite specimens. The maximum amplitude, hits, counts, rise time, absolute energy, and initiation frequency expressed as the cumulative value were selected as input parameters. The result showed that gradient boosting (GB) was the best model among the support vector regression methods. When GB was applied to the testing data, the root-mean-square error and R between the predicted and actual values were 0.96 and 0.077, respectively. A parameter analysis was performed to capture the parameter significance. The result showed that cumulative absolute energy was the main parameter for damage prediction. Thus, AE has practical applicability in predicting rock damage without conducting mechanical tests. Based on the results, this study will be useful for monitoring the near-field rock mass of nuclear waste repository.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.295-304
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• 2021

This study aims to identify and analyze the impact of internal factors on business efficiency of steel firms in Vietnam. The article uses data collected from the financial statements of 26 steel firms operating in Vietnam between 2012 and 2019. With the application of E-view software in quantitative analysis to build regression models on the table data (panel data), and the study has built a regression model identifying the relationship and impact level of internal factors affecting business efficiency of steel firms in Vietnam. In the study, the dependent variable is business efficiency, determined by the profit after tax on the firm's assets. The independent variables are firm size, growth rate, capital structure, ratio of long-term assets, receivables management, and solvency. The research results show that the four factors of firm size, growth rate of assets, receivables management, and solvency have a positive impact on business efficiency, while two factors including capital structure and ratio of long-term assets do not affect business efficiency of enterprises. The results of this article are very useful for corporate executives in general and for financial managers in particular, helping managers make the right financial decisions for the company to promote business efficiency of the company.

• 유통과학연구
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• 제20권12호
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• pp.13-22
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• 2022

Purpose: The paper contributes to the existing literature on Vietnamese corporate governance and firm performance with a focus on listed family firms and the use of a more suitable econometric framework to analyze firm performance. The study investigates how family firm performance is affected by corporate governance under the standpoint of stewardship theory in Vietnam. Research design, data and methodology: With the use of different measures for firm performance (Tobin's Q, ROA, and ROE), regression models were estimated using Generalized Least Square (GLS) method on a panel data of a total of 113 listed companies during the five-year period from 2015 to 2019. Results: We found that family ownership as the main characteristic of the stewardship theory affects family firms positively. In addition, several other characteristics in corporate governance as board composition (board independence, board audits, and board committees), CEO (age and tenure) and firm characteristics (size, age, expansion, and annual sales) showed significant impacts on firm performance. Our findings also suggest that family firm performance can be either positively or negatively affected based on the characteristics of corporate governance. The findings can help companies evaluate the significance of corporate governance through deciding board structure and the selection of CEOs to match family firm characteristics. It also gives insights for investors, rating agencies, and policymakers for relevant purposes.

• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.447-456
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• 2021

State-Owned Enterprises (SOEs) are business entities that are owned mainly by the state. Good financial governance (GFG) is as important for SOEs as for the private sector companies. Prudence and GFG can affect the value of the company. This research aims to test the impact of macroeconomics, investment decisions, and financing decisions on prudence, Corporate Social Responsibility Disclosure (CSRD), dividend policy, and company value of SOEs registered on the IDX from 2014-2019. GFG and financing decisions are moderating variables. The population in this study is 16 SOEs listed on the Indonesia Stock Exchange from 2014-2019. The research method is quantitative and uses Partial Least Squares (PLS), which is an approach to Structural Equation Models (SEM) that allows researchers to analyze the relationships simultaneously. The results showed that macroeconomic factors, investment decisions, financing decisions, and prudence directly affect the company's value. However, CSRD and dividend policy directly do not affect the company's value. Prudence can mediate the influence of financing decisions on company value. GFG moderates the relationship between prudence and company value. Thus, GFG is key to producing compliant regulatory reports and disclosures. GFG aims at facilitating effective monitoring and efficient control of the business. Its essence lies in fairness and transparency in operations and enhanced disclosures for protecting the interest of different stakeholders.

• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.557-569
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• 2021

The study investigates the impact of strategic planning (SP) factors on service quality (SQ) in private universities (PUs) in Oman and how they fit together in the development of higher education institutions (HEIs). The reports of the Ministry of Higher Education (MoHE) in Oman revealed that the service quality in private universities is unsatisfactory. This study employs a quantitative method. Data were collected from a sample of 730 academics and administrators. Structural Equation Modeling (SEM) based on AMOS software was applied for data analysis. The results of the structural paths showed that, among the strategic planning factors, only environmental scanning and leadership had a direct significant impact on service quality. However, mission statement and participation had insignificant direct impact on service quality. The findings suggest that environmental scanning and leadership are critical factors in predicting service quality dimensions of private universities. The findings add to the body of knowledge particularly in the Omani context, which can be useful in the neighboring countries as well. The study combines two different popular models in addressing service quality. The study also clarified the importance of each factor of the strategic planning process, which give a comprehensive picture of the university.

• 대한금속재료학회지
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• 제47권1호
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• pp.7-12
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• 2009

The detailed quantitative microstructural data on the cracking of coarse constituent particles in 7075 (T651) series wrought Al-alloys have been studied using the utility of a novel digital image processing technique, where the particle cracks are generated due to monotonic loading. The microstructural parameters such as number density, volume fraction, size distribution, first nearest neighbor distribution, and two-point correlation function have been quantitatively characterized using the developed technique and such data are very useful to verify and study the theoretical models for the damage evolution and fracture of Al-alloys. The data suggests useful relationships for damage modeling such as a linear relationship between particle cracking and strain exists for the uniaxial tensile loading condition, where the larger particles crack preferentially.