The main focus of this study is to investigate the impact of non-performing loans (NPLs) and other bank specific factors on the financial performance of commercial banks in Asian developing and developed countries due to an alarmingly high ratio of non-performing loans.The bank specific factors that are used in this study are cost efficiency ratio (CER), capital adequacy ratio (CAR), size of the bank, sales growth (SG) and proxies of financial performance (FP) are return on equity (ROA) and return on asset (ROE). Secondary Panel data of ten years (2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015) has been used for this empirical analysis and 19 commercial banks from developing countries of Asia (Pakistan and India), while 17 commercial banks from developed countries of Asia (Japan and Saudi Arabia) are selected. Generalized method of moment is used for the coefficient estimation to overcome the effects of some endogenous variables. NPLs and CER are significantly negatively related to the financial performance (ROA and ROE) of developing and developed countries commercial banks. There is a negative relationship of bank size with most of financial performance variables. Sale growth and capital adequacy ratio has significant positive relationship both measures of financial performance (ROA and ROE) in both pools. Due to the importance of commercial banks in the overall economy of a country, there is a need for management of commercial banks and regulatory authorities to undertake policies that ensure efficiency in banking operations.
(1) Background: Our study aims to explore the impact of abusive management and self-efficacy on corporate performance in the context of artificial intelligence-based human–machine interaction technology in enterprise performance evaluation. (2) Methods: Surveys were distributed to 578 participants in selected international companies in Turkey, Taiwan, Japan, and China. To reduce uncertainty and errors, the surveys were rigorously evaluated and did not show a normal distribution, as it was determined that 85 participants did not consciously fill out the questionnaires, and the questionnaires from the remaining 493 participants were used. By using the evaluation model of employee satisfaction based on a back propagation (BP) neural network, we explored the manifestation and impact of abusive management and self-efficacy. Using the listed real estate businesses as an example, we proposed a deep learning BP neural network-based employee job satisfaction evaluation model and a human–machine technology-based employee performance evaluation system under situational perception, according to the design requirements of human–machine interaction. (3) Results: The results show that the human–machine interface can log in according to the correct verbal instructions of the employees. In terms of age and education level variables, employees’ perceptions of leaders’ abusive management and self-efficacy are significantly different from their job performances, respectively (p < 0.01). (4) Conclusions: artificial intelligence (AI)-based human–machine interaction technology, malicious management, and self-efficacy directly affect enterprise performance and employee satisfaction.
Fluctuation of stock price in commercial banks in developing countries such as Vietnam will reflect the business health of bank system and the whole economy. Good business management requires us to consider the impacts of multi macro factors on stock price, and it contributes to promoting business plan, financial risk management and economic policies for economic growth and stabilizing macroeconomic factors. The article analyzed and evaluated the impacts of seven (7) macroeconomic factors on stock price of a joint stock commercial bank Vietcombank (VCB) in Vietnam in the period of 2014-2019, both positive and negative sides. The results of quantitative research, in a seven factor model, show that the increase in GDP growth and lending rate and risk free rate has a significant effect on increasing VCB stock price with the highest impact coefficient, the second is decreasing the exchange rate, finally is a slight decrease in S&P500. This research finding and recommended policy also can be used as reference in policy for commercial bank system in many developing countries.
The present study aimed to compare the effects of information and communication technology (ICT)-based and conventional methods of instruction on ninth-grade students’ academic enthusiasm for L2 learning (English). The statistical population included all ninth-grade students from lower secondary schools for girls located in the city of Tehran, Iran, in 2019–2020. For this purpose, applied research with a quasiexperimental design was employed to meet the study objectives. To select the statistical sample, the convenience sampling method was used, so one school equipped with the essential facilities was chosen to implement the ICT-based education. Then, two classrooms at the given school were selected as the experimental and control groups, each one consisting of 27 students, based on the random sampling method. The research tool was the 15-item Academic Enthusiasm Questionnaire (AEQ) containing behavioral, emotional, and cognitive subscales, and recruiting a five-point Likert-type scale. All the classrooms initially received a pretest, and then the experimental group was instructed by the ICT-based education. Finally, all the study groups completed a posttest. Moreover, inferential and descriptive statistics were applied for data analysis. The study results demonstrated a significant difference in terms of the baseline academic enthusiasm between the experimental and control groups. In addition, the ICT-based method of instruction showed stronger effects on students’ academic enthusiasm than the conventional one.
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