The study investigates the factors affecting the profitability of listed commercial banks in Vietnam. Survey data for this research were collected from 10 Vietnamese listed commercial banks for the period from 2008 to 2018. In the study, we have built a model of econometric regression with the dependent variable being listed commercial banks’ profitability results measured through ROA. The research methods used include descriptive statistics, IV regression and OLS regression analysis, and the authors carried out the model verification with Stata 14 software. The results showed that operating efficiency, loans size, retail loans ratio, state ownership, inflation rate, and GDP growth are factors that have a positive impact on profitability On the other hand, variables such as capital size, credit risk, liquidity risk, bank size, and revenue diversification are statistically insignificant; hence, these variables are not statistically adequate to indicate the influence of those independent variables to banks’ profitability. The findings of this study suggest that the quality of assets should be considered in the context that bad debt risks come from lending heavily to the real estate sector. Meeting Basel II’s capital compliance requirements is relatively difficult for small listed commercial banks compared to bigger listed commercial banks in Vietnam.

One of the concerns that have received substantial interest in the accounting field, in particular, in accounting education, is the increasing scarcity and demand for professional accountants around the globe. This study aims to investigate the effects of financial rewards (FR), parents’ and peers’ influence (PPIF), and benefits and cost (BCE) on students’ intention to pursue a career in accounting. A quantitative, convenient random sampling approach was used, and an online survey was conducted to collect data from students studying in China. A total of 311 valid responses were used for model testing based on the theory of reasoned action and the theory of planned behavior. The findings of the study include the positive effects of FR, PPIF, and BCE on accounting career choice (ACC). This study illustrates that FR is the most dominant factor (β=0.479) for influencing ACC. Furthermore, the used factor explained 70% variation in ACC. The results of the study have implications both for accounting firms and universities whether offering or not offering accounting as a major. This study provides a global perspective, which keeps this study unique from other studies. And in this study, the Partial Least Square Structural Equation Modeling (PLS-SEM) has been used which is randomly used in accounting research.

This study investigates the factors influencing the usage of PSAU Mobile Application by the students at Prince Sattam bin Abdulaziz University (PSAU). This study used Technology Acceptance Model (TAM) as a framework to predict the factors influencing 67 students’ usage of PSAU M-Application. The results of this study were consistent with the TAM framework in predicting the actual usage of the PSAU mobile application for academic activities. The results indicated a significantly positive association of the perceived ease-to-use with perceived usefulness, significantly positive associations of the perceived ease-to-use and the perceived usefulness with the attitude toward the usage of the PSAU’s mobile application, a significantly positive association of the perceived usefulness with the behavioral intention toward the usage of the PSAU’s mobile application, a significantly positive association of the students’ attitude toward the usage of the PSAU’s mobile application with the behavioral intention of using the application, and a significantly positive association of the behavioral intention with the actual usage of the PSAU’s mobile application. The results of this study should be useful to educational policymakers at PSAU University and elsewhere, as there is an opportunity to enhance the existing technology or adopt new technologies for academic activities.

The objective of this study is to disclose the effect of socio-demographic characteristics such as, age and ethnicity which is comprised of Malay, Chinese, Indian and Others on four financial capability domains namely planning ahead, managing money, choosing products and staying informed. A closed ended self-administered questionnaire was disseminated to a total of 2000 respondents among four types of groups which consist of FELDA or rural area residents, private sector employees, government sector employees and youth in institutions of higher learning in Malaysia. Those four groups were selected to cover a wide range of Malaysian population. 500 respondents were involved in this study for each types of groups through purposive sampling technique. Analysis of Variance (ANOVA) and analysis via Statistical Package for Social Science (SPSS) was utilized in this study. The results revealed that age has significant effect on planning ahead, managing money, choosing products and staying informed. Whereas, ethnicities were found to have no effect on financial capability except planning ahead domain. It is suggested that more devotion should be placed on research and professional training in building respondents’ financial capability. Furthermore, government and non-government organizations should develop a comprehensive approach to intensify their financial capability and upgrade their standards of living especially of financially vulnerable households.

This study aims to understand the determinant of the employee’s intention to use information system within the framework of the Technology Acceptance Model (TAM) and Information System Success Model (ISSM). This paper also aims to examine the influence of ISSM dimension on the perceived usefulness and the perceived ease of use. The research respondents were 248 employees of Universitas Negeri Semarang (UNNES) who are users of the Financial Information System (SIKEU). Data was obtained using a questionnaire that was distributed online via Google form. The data analysis method used is Structural Equation Model (SEM) analysis using the Warp-PLS software. The results showed that the dimensions of TAM (perceived ease of use and perceived usefulness) had a positive and significant influence on the employee’s intention to use SIKEU. The ISSM dimension (system quality and information quality) also had a significant influence, although other ISSM dimensions (service quality) had not been proven to have a significant influence on the employee’s intention to use SIKEU. Moreover, the results showed that the employee’s intention to use is a determinant of SIKEU’s actual usage. Perceived ease of use was significantly determined by system quality, information quality, and service quality. In addition, the perceived usefulness was significantly determined by system quality and information quality.

In this competitive era, it has become a prerequisite for the financial firms providing banking services to understand and meet the customers’ needs and demands to remain competitive in today’s market environment. Without satisfying the customers, banking business cannot stand alone. To satisfy customers, it is often recommended to provide better quality banking services to the bank customers. Providing quality banking services has become a prime strategic tool for the banking sector nowadays. Therefore, the study investigates the effect of various dimensions of service quality of banking service on customer satisfaction in a developing country, Bangladesh. A total of 212 walking Bangladeshi banking customers participated in this research. A structured questionnaire was developed based on past research. SPSS is utilized for analysis and Likert scale was used in this study. Internal consistency of all items was found correct and a total of seven hypotheses were proposed. For testing, a 5% significance level is considered for acceptance of hypothesis. The findings show that, except employee competency, all other variables such as reliability, assurance, tangibles, responsiveness, empathy, and access to service have positive influence on customer satisfaction. The study provides policy implications for the management boards of the banking sectors.

This study aims to add insight into the effectiveness of e-training, e-leadership, work-life balance, and work motivation on millennial generation employees’ performance in today’s work life amid the outbreak of the COVID-19 pandemic that requires to work more online. Unlike previous generations, millennials are technology-literate, intent on succeeding quickly, give up easily, and seek instantaneous gratification. The population in this study are millennial generation employees at one of Honda motorcycle dealers in Jakarta, Indonesia. The number of samples collected was 200. The sampling technique used is the side probability method, with proportional random sampling technique. The research method used is an associative quantitative approach through survey methods and Structural Equation Modeling. Data were collected through questionnaires distributed to millennial generation employees, with results then processed through the Lisrel 8.5 program. The results of this study show, first, that e-training, e-leadership, and work-life balance have positive effect on work motivation. Second, e-training, e-leadership, work-life balance, and work motivation have positive effect on employees’ performance. The findings indicate that companies must pay attention to the factors of e-training, e-leadership, and work-life balance to keep employees motivated and to maintain optimal employee performance, especially during the COVID-19 pandemic through working online.

This research focuses on the importance of corporate social responsibility in building the company’s reputation. Experts have studied CSR as an antecedent of a company’s reputation, but the mechanisms underlying this process are rarely explored. Therefore, to fill this research gap, we demonstrate CSR’s implementation combined with organizational justice based on discrepancy and equity theory. This study involved 210 employees in a family company. The study’s analysis method uses Structural Equation Model (SEM), SmartPLS, with a five-step measurement and analysis procedure. The variables in this study are CSR implementation, organizational justice, employee trust, firm reputation, organizational objectiveness, organizational commitment, job satisfaction, and job performance. The results found that some of the direct relationships stated were not significant, but all demonstrations of indirect links were substantial. Besides, optimal CSR and organizational justice provide a reliable and positive domino effect in increasing the role and consequences of employee trust and firm reputation. The findings in this study confirm that upstream-downstream job performance causality can be successfully achieved if job satisfaction has been realized, job satisfaction can be achieved if organizational commitment can also be recognized, and organizational commitment can be developed. Reflection and influence, rather than organizational attractiveness becomes essential.

The aim of this paper is to investigate the level of intellectual capital disclosure (ICD) in commercial banks listed on the Indonesian Stock Exchange. This paper also observed the effects of ICD and corporate governance mechanism on market value. This study uses content analysis techniques to measure ICD. The paper provides a novel approach to measure the ICD quality in developing countries using a fournumerical coding system. Secondary data were obtained from the financial statements and annual reports of the banks for the period 2011- 2014. The data from 31 banks were analyzed using ordinary least square regression. The study reports that the quality of intellectual capital disclosure in Indonesian commercial banks increase steadily. Narrative disclosure dominates the report of intellectual capital in Indonesian banks. The results indicate that the size of audit committee, frequency of audit committee meeting, and intellectual capital disclosure affect positively the market value. Overall, the results indicate intellectual capital disclosure is associated with the market capitalization; these findings indicate that the ICD is a consideration in a stock investment decision. While regulations in Indonesia regarding intellectual capital reporting are not conclusive yet, the information needs of stakeholders have encouraged companies to expand voluntary disclosure.

The study aims to compare whether using Earnings Response Coefficient (ERC) is better than using the new concept of Accounting Earnings Response Coefficient (AERC) in determining the earnings quality response coefficient value. Also, the study seeks to explain the effect of company characteristics and corporate governance on AERC through voluntary disclosure and information asymmetry. Research samples include 69 manufacturing companies listed on the Indonesian Stock Exchange over the period 2014-2017. The data come from annual reports, stock market prices, CSPI, EPS, stock returns and market returns. The research model is tested using the structural equation model (SEM) with partial least square (PLS). The results showed the value of the earnings response coefficient produced by AERC and ERC was different. Earnings quality resulting from AERC regression by adding CFO values better reflects the actual earnings quality. These results are consistent with the concept built from the proposition about earnings quality at AERC, that quality earnings are informative accounting earnings. The theoretical findings of this study provide an explanation that operational cash flow plays a role in evaluating earnings quality, while providing reinforcement that the ERC regression model fails to detect stock market reactions to information relevant to the aggregated values of accounting earnings.

The aim of this paper is to predict the Borsa Istanbul (BIST) 30 index movements to determine the most accurate buy and sell decisions using the methods of Artificial Neural Networks (ANN) and Genetic Algorithm (GA). We combined these two methods to obtain a hybrid intelligence method, which we apply. In the financial markets, over 100 technical indicators can be used. However, several of them are preferred by analysts. In this study, we employed nine of these technical indicators. They are moving average convergence divergence (MACD), relative strength index (RSI), commodity channel index (CCI), momentum, directional movement index (DMI), stochastic oscillator, on-balance volume (OBV), average directional movement index (ADX), and simple moving averages (3-day moving average, 5-day moving average, 10-day moving average, 14-day moving average, 20-day moving average, 22-day moving average, 50-day moving average, 100-day moving average, 200-day moving average). In this regard, we combined these two techniques and obtained a hybrid intelligence method. By applying this hybrid model to each of these indicators, we forecast the movements of the Borsa Istanbul (BIST) 30 index. The experimental result indicates that our best proposed hybrid model has a successful forecast rate of 75%, which is higher than the single ANN or GA forecasting models.

Public accountant profile dominated by over-50-year-old people appears to be alarming. The intention towards this profession had better be fostered immediately; therefore, the predictors to boost the intention need to be known. The study examines the influence of accounting knowledge toward the intention to work as public accountant using the Theory of Planned Behavior approach. A survey of 146 students revealed that there was a significantly positive influence of accounting knowledge toward the intention of becoming public accountant, both directly and indirectly, through the mediation of attitudes and perceived behavioral control. Subjective norms did not function as an appropriate mediation. The findings are expected to contribute to universities and professional accounting bodies. The study urges the accounting educators to redesign and reorganize the curriculum, including a more interesting teaching and learning methods. The professional accounting bodies are expected to cooperate with accounting educators in enhancing the internship program and providing real-case study to instill a positive attitude and assurance toward the students’ competence, which, in the end, might spark the intention to work as public accountant. That accounting knowledge positively influences the intention toward public accounting profession through the mediation of perceived behavioral control was statistically supported.

This study aims to determine the technical aspects of organic food systems in rice agribusiness and analyze the pattern of economic and institutional structures of agribusiness in East Java of Indonesia. Also, this study investigates the feasibility of farming and understands the strategies of rice agribusiness development. This study was conducted in several places in East Java of Indonesia, covering the district of Blitar, Kediri, Bondowoso, Tulungagung, and Malang. The data were collected through a structured questionnaire and focus group discussion. Furthermore, the data were analyzed using efficiency analysis, revenues analysis, and SWOT analysis. The findings indicated that, technically, the district of Bondowoso, Malang, Kediri, and Tulungagung had implemented the organic systems, while the district of Blitar applied under semi-organic systems. The pattern of economic institutions of agribusiness commodity consists of the production facility, farming, post-harvest and product processing, marketing, and support services institutional. These results showed that the organic rice farming is economically viable, and the government support was provided in the form of the establishment of development centers, the facilitation of agricultural machines, integrated crop management field school, and the organic certification. These findings suggest that several places in East Java have prospective opportunities for production of rice agribusiness development.

The objective of this study is to examine and provide guidelines for regional governments, communities, and the private sector in planning and implementing poverty-reduction activities that are more effective, efficient, and targeted. Besides, this research’s specific aims are: 1) increasing the rate of regional economic growth through optimization of potential sources of local income, 2) increasing per-capita income, and 3) reducing poverty, unemployment, and social-economic inequality of the community. The study was conducted in North Morowali District, Central Sulawesi Province, Indonesia, in 2018-2019. The research approach used quantitative and qualitative descriptive analysis. Data sources include sources from the Focus Group Discussion (FGD) and Regional Statistics. The results of this study are based on the Millennium Development Goals (MDG’s) indicators that there are four priority scales in poverty reduction, namely, Health and Infrastructure (Priority I), Education (Priority II), Food stability (Priority III), and Population and Employment (Priority IV). Therefore, as a solution to poverty alleviation strategies, the cost approach through regional economic optimization and local income sources and community empowerment factors are essential. Apart from that, the involvement between elements (government, organizations, society, universities, and institutions) is expected to continue as an effort to realize poverty reduction can be optimally overcome.

This study aims to analyze and confirm brand awareness’ role in influencing the repurchase intention both directly and indirectly on customer satisfaction variables and repurchase intention variables. The contribution brought by this study is to reflect manifest variables such as recall, purchase, and consumption. The number of respondents in this study was 200 samples using the online survey data collection method (Google form), while the research approach is quantitative explanatory. The data analysis test tools include the Structural Equation Modeling (SEM) approach with AMOS as a statistical data analysis software and Sobel test to indirectly test the relationship. This study consists of four hypotheses, of which three hypotheses are positively and significantly related (brand awareness on repurchase intention, brand awareness on customer satisfaction, and customer satisfaction on repurchase intention). Through indirect relationship, namely, brand awareness on repurchase intention through customer satisfaction, the study showed no significant effect. In a comprehensive way, this study emphasizes the factor of customer satisfaction as a determinant of consumer loyalty and repurchase intention. Therefore, creating optimal customer satisfaction, service excellence, promotion and massive advertising, guaranteeing the safety and ease-of-use apps, and ease of shopping, especially for e-commerce industry, is a serious concern.

This research is defined as a study regarding on structured and systematized of existing literature review of the intersection between intellectual property management, management and technology transfer offices (TTOs). It takes a deeper look at requirements within universities, scientific institutions and the business environment should be interconnected with each other. The literature review shows that TTOs have control over the process of knowledge transfer and they have contributed to improving the efficiency of the use of production and human resources. In this paper, authors proposed the methodological tools based on methodology model, which identified success factors for using project management in TTO between two countries - Kazakhstan and Spain. Further, we used methodology is focused on solving the problems of quantitative analysis based on the use of primary data, which allowed us to reach a huge number of respondents without any restrictions, and secondary data from statistical database. Findings and results are summarized at the end of article show that Kazakhstan is following the path of the Spanish experience. However, Kazakhstan can become more successful in commercializing scientific technologies and transferring knowledge and technologies. In turn, Spain can use the data from our analysis to work on barriers and improve the activities of TTOs.

This study aims to investigate the main factors that affected the government health expenditures in Gulf Cooperation Council (GCC) countries (Kingdom of Saudi Arabia (KSA), United Arab Emirates (UAE), Oman, Qatar, Bahrain and Kuwait), during the period from 2005 to 2019. The study employs a panel data technique in order to monitor the pooled determinant variables of healthcare expenditures in these countries. The study’s results indicate, by using FMOLS approach for panel data, that the average healthcare expenditures per capita in GCC countries have a positive and a significant relationship with the government revenues, the size of the population, and the governments’ public debt. The positive and the significant relationships of governments’ public debt may be explained even if the governments of the GCC countries suffer from a budget deficit; the GCC countries continue to increase the healthcare expenditure. The study suggests that the policymakers of the GCC countries must take into consideration those variables when they develop their healthcare policies. Also, the GCC countries urgently need to have high levels of foreign exchange reserves to maintain the expected level of spending on the healthcare sector, because their public revenues depend mainly on the oil revenues, which are fluctuating continuously.

This study sees a critical gap in the previous body of research, which it seeks to fill; the disclosure of the unemployment ratio correlation has only been measured by the level of economic growth. This study is to add investment variables and government expenditure variables that objectively aim to measure the level of effectiveness in handling the unemployment ratio, which is then a measurement of the effectiveness of unemployment. Economic growth is measured by its impact on income inequality through empirical, conceptual relationships as a critical review and economic strategy for the future. The research uses secondary data on Indonesian macro and microeconomics since 2003-2018, then testing uses a quantitative approach to correlation, regression, and scatterplot. The results of this study show correlations between variables, and volatiles on the graphs show a similar trend. In other words, variables are bound together and support each other. The strategy of prioritizing the scale of government expenditure and investment to reach the target is the primary concern, so that the economic cycle can be optimal and equipped to face the possibility of an economic recession in the future. Many factors cause complex income inequality, though investment does not show a correlation to income inequality.

The purpose of this study is to explore and empirically analyze the factors affecting the financial performance of Korean small- and medium-sized manufacturing companies, which are relatively insufficiently researched, in terms of human resource management (HRM). In particular, this study intends to examine the human resource management activities focusing on the individual influences of workers’ attitudes on systems and policies as well as jobs and organizations. This study reviews previous research and discussions on the human resource management system, as well as the organization and job-related attitudes and financial performance of workers, for the formulation of two hypotheses. Among the HCCP data, the hypothesis was verified through reliability and correlation analysis and stepwise multiple regression analysis for small- and medium-sized manufacturing enterprises. The results show, firstly, that human resource systems and systems have the same effect, but there were differences in the degree of impact. Secondly, job satisfaction has a statistically significant influence on financial performance. Lastly, all worker/employee attitude determinants are statistically significant for both job satisfaction and organizational commitment. HRM, previously relatively overlooked, provided theoretical and practical implications by demonstrating the direct impact on financial performance and the impact of individual human resource management systems and policies.

This study examines the determinant factors affecting young people in preparing entrepreneurship in Indonesia. This study involved several variables, including the need for achievement, risk perception, locus of control, entrepreneurial attitude to predict entrepreneurial intention, and preparation for entrepreneurship among young people. The approach utilized in this study was a quantitative research design using a survey model. The participants of this study were recruited from young people in East Java, Indonesia. Structural equation modeling with Partial Least Square (SEM-PLS) was implemented to test the hypotheses and the relationships between variables. The findings of this research showed that the attitudes toward entrepreneurship and entrepreneurial intention of young people in Indonesia are determined by several variables such as the need for achievement, risk perception, and locus of control. The correlation between variables showed one positive direction in which all independent variables can influence dependent variables. Additionally, the result of this study confirms a robust relationship between the attitude toward entrepreneurship and preparing for entrepreneurship among young people. Lastly, this study showed a positive correlation between entrepreneurial intention and preparation for entrepreneurship. This study suggests that government institutions and universities need to be concerned about entrepreneurial programs to promote young entrepreneurs.