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Financial inclusion, especially the adoption of fintech, has emerged as a crucial avenue for removing the financial access divides in developing countries, including Bangladesh. Following the comprehensive analysis, this article intends to outline Bangladesh's recent experiences with fintech-based financial inclusion, identify the short-comings and hence make policy suggestions. Being a descriptive research, cross-sectional and observational research approaches are applied for the explanatory analysis of secondary data. Results suggest an urban-rural gap in the implementation of digital financial services, with urban areas consistently having higher rates of fully online branches and a greater number of financial machines. Despite this, the sharp rise in the issuance of active cards is a positive sign suggesting an expansion of consumer base and an adoption of electronic modes of payment. Moreover, inter-bank electronic fund transfers and online banking have experienced increasing uptake, revealing a progressing trend towards digital transactions within the banking industry. Additionally, the study identifies a speedy growth in the number of mobile financial services accounts in both urban and rural areas. This study adds to the exchange of ideas regarding financial inclusion by carrying out a detailed study of Bangladesh's digital financial transformation, exemplifying the accomplishments, obstacles, and future research directions. It highlights the need for targeted policies and ongoing research efforts to build inclusive financial systems to serve the entire society’s interest. Nevertheless, the observations will have both theoretical and practical significance, contributing towards building capability in harnessing technology for sustainability, community uplifting, and shaping a brighter future.  

This paper aims to examine the financial performance of Bangladeshi listed commercial banks. The study analyzed the financial performances of banks categorized into three generations—first, second, and third—based on their year of commencement of operations in the country. The data of a total of 24 banks, 8 from each generation, listed in the Dhaka Stock Exchange (DSE), has been collected from audited financial statements for the time period of 13 years, from 2010 to 2022. Data has been analyzed using different ratios of profitability, liquidity, capital adequacy, operational efficiency, and credit risk. The ANOVA test also has been used to make a comparison of profitability—the return on assets (ROA), and return on equity (ROE) of the banks of different generations. According to the results, the average profitability ratios in terms of ROA, and ROE of the second-generation banks showed their credibility than banks of other generations; while first generation banks kept higher liquidity, and capital adequacy with higher credit risk than the banks of other generations. The first-generation banks also showed a lower cost-expense ratio, and a higher efficiency in terms of operation, than the banks in the second and third generations. The research also discovered that the profitability of banks of different generations significantly varies from one another.  

In the past decade, Southeast Asia has seen the development of financial inclusion, as evidenced by the growth of the penetration, availability, and usage dimensions of financial inclusion. This study analyses the impact financial inclusion has on economic growth, represented by GDP per capita growth, and unemployment using data from Indonesia, Malaysia, Thailand, the Philippines, and Cambodia. The authors employed panel data regression with fixed effect and random effect models to analyse the data. The results show that the number of commercial bank branches and outstanding loans statistically significantly affect GDP per capita growth, while the number of saving/deposit accounts does not. All three variables are shown to have a statistically significant impact on unemployment.

This study aims to enhance credit risk identification, improve loan borrower review efficiency, and increase default prediction accuracy rate using data mining and machine learning techniques. The study also employs deep learning to develop a consumer loan default prediction model that minimizes credit risks and ensures consistent development. The researchers collected data from a survey of 1000 participants, stratified into local and foreign banks, and selected the top 11 banks based on turnover and customer volume. To construct the machine learning model, Keras, a neural network library that runs on TensorFlow, was utilized. The model predicts loan applicant default likelihood. The study's practical implications demonstrate a noteworthy success rate of customer default prediction, which can significantly benefit banks. The model was evaluated on a test set of 250 records and achieved a test set accuracy of 95.2%, correctly predicting the default state of 238 out of 250 respondents.

This study aims to investigate the association between non-performing loans (NPLs) and the profitability of banks in Bangladesh. The data of twenty-five listed banks for the twelve years spanning from 2010 to 2021 have been analyzed to achieve the research objective. through the use of the ordinary least square (OLS) regression model, we found that the NPL has a negative significant impact on the profitability determined by the return on asset (ROA). In addition, the study revealed that the bank size, which is represented by banks’ total assets, is also inversely related to the profitability of the sample banks used in this research. The study concludes that the stakeholders, particularly the management of the banks, as well as the regulators, should be more cautious about NPLs and should try to lessen the level of NPLs because it can bring devastating results both on the microeconomic as well as on macroeconomic metrics of a developing country like Bangladesh.  

E-commerce is gaining popularity due to its importance for both merchants and consumers, particularly in light of the COVID-19 pandemic, which restricts mass movement and gathering, as well as the high costs associated with traveling to different markets. Despite mounting evidence demonstrating the importance of internet in retails business, little is known about the potential mechanisms that increase consumer purchasing intentions when using online shopping platforms. In today's high customer sensitivity to service quality, successful entrepreneurs have recently thrived under competitive pressures. Online transactions are more difficult because buyers and sellers do not know each other, yet they must provide financial information to intermediaries. Thus, it is now clear that increasing customer trust is a viable strategy for driving e-business success today. Considering this, a new model demonstrating a potential mechanism that increases customers' trust in intermediaries and thus leads to their online purchasing intentions was developed. This innovative model connects website quality to the online purchasing intentions of the customers, using trust in intermediaries as a mediator and moderating the effect of perceived usefulness. To prove or disprove the assumptions highlighted in this study, a cross-sectional research design was used with data from 568 clients of nine domestic e-commerce platforms operating in Rwanda. To investigate the relationship between the variables hypothesized in this study, a variety of methods and tools were used. To assess the potential effect of each variable in this model, we used CFA in SEM-Amos, mean and standard deviation in SPSS, and Hayes macro process. The overall results obtained using the various techniques specified supported the current hypothesized model. We believe that the current study provided an innovative and useful mechanism as one of the potential solutions for today's merging online businesses.

This study aims to analyze the effects of human capital and organizational learning on employee performance with innovation behavior as a mediator. This study is conducted at a privately owned bank in Gorontalo City with a sample of 92 respondents. Researchers use purposive sampling with data collection technique that is questionnaires in Google Form. Data analysis is performed using SEM-PLS (Structural Equation Modeling Partial Least Square) with SmartPLS software version 3.0. The results of this study indicate that (1) human capital has positive effect on employee performance and innovation behavior, (2) organizational learning has positive effect on innovation behavior, (3) innovation behavior has positive effect on employee performance, and (4) innovation behavior mediates the effect of organizational learning on employee performance but cannot mediate human capital on employee performance.

The theory of dynamic resource orchestration explains the differentiated response of homogeneous ecosystem organizations to systemic disruptive shocks. The Covid-19 precautionary measures in Kenya have exempted some essential service providers and government agencies, resulting in a differentiated Covid-19 impact across the national SMEs landscape. This article adopted an extractive thematic analysis technique to draw insights from in-depth interviews and discussions with owners and managers of 6 broad-range SMEs considered non-essential services providers excluded from the Covid-19 cessation of movement waiver. The article advanced insights on SMEs' resilience through dynamic resource orchestration capability. It sought to establish whether the possession and orchestration of dynamic resources capabilities differentiated highly resilient SMEs from non-resilient ones. The article identified business diversification, slack finance, intra-stakeholder collaboration, self-reinvention, positive psychology, technology leverage, and cost management as precursory resilience agents within Kenyan SMEs. Research gaps were identified, and recommendations for future research were proposed.

Bank profitability plays a significant role in the growth and development of an emerging economy. The purpose of the study was to examine the impact of bank characteristics, industry concentration and macroeconomics variables on commercial bank profitability in Bangladesh from 2007-2017. Bank profitability is proxied by return on assets (ROA), return on equity (ROE) and net interest margin (NIM). The study is based on secondary data and Hausman test has been performed using STATA software in favor of fixed effect modeling. Panel regressions shows that cost efficiency has significant negative impact on ROA and NIM. The positive impact of loan to deposit ratio with ROA suggests that efficient fund management including investment and assessed expenditure should be emphasized. Bank size has significant negative impact on all the measures of profitability, which indicates that monopolistic competition will reduce banking profit. Credit risk has significant positive impacts on ROE. Industry concentration measured by CR3 is positively related with ROE and has significant negative relation with bank profitability (ROA). Among macroeconomic variables inflation has significant positive and bank spread has significant negative impact on ROE. The coefficients of all the macroeconomic variables have been found to be significantly related to bank profitability while measured by NIM. Our study recommends further research with other explanatory variables such as, corporate governance, corporate social responsibility (CSR) and deposit insurance to accelerate the model and construct the econometric model by using structural equation modeling, mediation effect modeling etc.

The main objective of this paper is to investigate the link between customer accounting information and companies' performance in Sultanate of Oman. This is a cross-sectional study with quantitative method where the quantitative data was accumulated through questionnaire. The sample size of 160 usable questionnaires were received from employees work in the banks that are considered as a sample of the current study. The findings show that there is a positive link between the customers' accounting information and the companies’ performance. The findings pointed out that companies' extent of customer accounting information usage have significantly impact the institutional performance. This research is a new in its type to be applied in Sultanate of Oman context via testing the relation between its predictors of customer accounting information features towards their impact on company performance.

This research paper intends to evaluate an idea about bankers’ perceptions on green banking by getting a candid opinion from conventional banks’ bankers in Bangladesh based on a quality survey questionnaire covers relevant areas like benefits of green banking, superior officials who serve green banking services, taken eco-friendly initiatives, getting support from proper authorities, safeguarding environment pollution and rewards for adopting green banking. Considering the highest mean score of items in each group, this paper insights about green banking is environment-friendly banking, managers and officers are resourceful, emphasizes on recycling of left-over materials, keeping the environment pollution free, and performs to reduce resource wastages. This paper also finds that support from the government should be getting heightened priority to enhance its performance and area. So it can be easily presumed that green banking already put a great impact on a great portion of the banking industry in Bangladesh so far.

The main purpose of this paper is to assess the impact of the deficit on GDP growth for the Eurozone area, using panel data for a period from 1995 to 2015, with a total of 257 observations. In order to conduct the study and come up with results, we have used a multiple linear regression model with the least-squares regression. Consequently, in order to test the data used in the model, we have applied diagnostic tests, such as the Durbin-Watson test to analyze the correlation of serial correlation, as well as the Breusch-Pagan test for heteroskedasticity. The test results prove that there is no heteroskedasticity and at the same time there are strong indications that the model has no relation between serial correlation. The results presented in our study show that the variables, deficit ratio to GDP, is statistically significant with a positive sign and as a result, we have the growth of the deficit ratio with GDP having a positive impact on the economic growth ratio. Keywords: Fiscal deficit, GDP Growth Rate, Correlation, Regression

This study sought to establish the influence of fraud risk management practices in regard to preventive, detective and corrective controls on the level of fraud occurrence on listed firms in Kenya. This is because limited research had been conducted in the context of listed firms in Kenya and limited attention paid on how corrective controls influences fraud occurrence. A causal research design was applied. Data was obtained from a sample of 275 senior managers by using structured questionnaires. The findings revealed that only preventive and corrective controls had a profound negative effect on the degree of fraud occurrence on listed companies in Kenya. Conversely, detective controls did not considerably reduce fraud occurrence on listed companies in Kenya. The key implication of the findings noted by this study is that the proper implication of the most effectual anti-fraud measures can only be realized when the management are committed to do so. Additionally, corrective controls must be seriously looked into as an effective strategy of curbing fraud since they indeed are instrumental in curbing fraud. Future studies should be extended to the public sector in regard to the government ministries and the distinctive partitions of the private sector such as the insurance, real estate, manufacturing, automobile sectors among others respectively. Moreover, future studies can explore how firm size in terms of asset size or employee size moderates the relationship between fraud risk management practices and the level of fraud occurrence.

The purpose of this research paper is to extensively investigate and examine the effect of the CAMEL model variables on the profitability and financial soundness of the thirteen Jordanian commercial banks for the period of 2013 to 2019, the primary data were collected from the published audited financial reports of the Jordanian commercial banks. The study uses CAMEL model variables of Capital adequacy, Asset Quality, Management efficiency, Earnings ability, and Liquidity management to rank banks as per their overall performance and measuring their effect on banks’ profitability measures of Return on Assets and Return on Equity separately through applying the fixed effect regression model. It is concluded that the ranking approach shows that Bank of Jordan was in the top position followed by the Capital Bank of Jordan. Jordan Ahli Bank was in the lowest rank in most positions. Furthermore, the empirical results indicates that Non-Interest Income to Total Assets and Net Interest Income to Total Loans and Advances have significant positive relationships with both profitability measures whereas cost to Total Income and Non-Interest Income to Total Assets have strong negative relationships with the profitability measures. In addition, Equity to Total Assets has strong negative relationship with ROE. The study suggests that Jordanian commercial banks can improve their profitability through the concentration on main activities, efficiently managing their capital adequacy, maintaining high quality level of lending policy, and utilization of full assets. Additionally, the current study recommends conducting more studies on banks’ performance determinants with an expanded scope and using more financial models besides the CAMEL model.

An increase in MSMEs in large numbers is very instrumental in increasing economic growth in developing countries, including Indonesia. The research objective is based on identifying the effect of investment credit, interest rates, and labor on economic growth through the role of MSMEs. The design of this research is descriptive-verification to present a structured, factual and accurate picture and test hypotheses empirically through the MRA model. Empirical analysis proves that investment credit and interest rates through the role of MSMEs can influence positively and significantly on Indonesia's economic growth. In other results, it appears that the role of MSMEs is less able to mediate the effect of labor on Indonesia's economic growth. This fact is based on a negative and insignificant relationship. In a sentence or two, enter the implications and limitations of your research. In Indonesia, increasing bank lending to MSMEs in practice is undermined by lending policies by banks and by macroeconomic factors (economic growth, interest rates, investment credit, and labor).

This research aims to determine the influence of macroeconomic variables on stock return and its impact on corporate values. The population in this research is the sector of agriculture because based on the results of the sector's observation, the most severe decline in performance among others. Further sampling is done by the purposive sampling method, so from 22 companies that listings only 15 companies that meet the criteria. The analytical technique to be used in this study is to use a double linear regression analysis technique expanded with a pathway analysis method to obtain a comprehensive picture of the relationship between variables of one variable with other. We find is an inflation and interest rate negatively and significantly affecting the return of shares. The exchange rate positively and significantly affects the stock return and the influential stock return rate positively and significant to the corporate values.

The purpose of this study is to determine which indicators are more capable of showing more accurate sell and buy signals on the LQ45 index by using the oscillator indicator Moving Average Divergent Convergent (MACD), Bollinger Band, and Relative Strength Index (RSI). The results in this study indicate that the sell signal can be captured well by the Bollinger band and MACD indicators, but it cannot be captured properly by the RSI, the volume can be small or heading and are in the side ways, while the MACD plays a too slow role in capturing the signal buy compared to Bollinger bands and RSI. The use of a single indicator will never show a buy and sell signal that is really accurate, this is based on the results of research that shows the difference in timeliness in Bollinger, RSI and also MACD so that the combination of several types of indicators will be better compared to using single indicators. Although in statistics there are no significant differences, there are only differences in increment and improvement in the placement of existing values, but in this case, the order of this value is crucial for traders because it requires very high accuracy to determine the right decision in daily transactions.

Increase in losses borne by banks as a result of inadequate operational risk management practices and the adverse impact on banks’ financial performance has been a major concern to bank management and regulators. This study analysed the impact of operational risk management practices on the financial performance of commercial banks in Nigeria. 10-years (2008 - 2017) secondary data extracted from audited financial statements of selected commercial banks in Nigeria was used for the study. The data was analysed using the Linear Multiple Regression Model. The results showed that there is a positive relationship between operational risk management and the financial performance of banks. The findings revealed that sound operational risk management practices impact positively on the financial performance of banks. We, therefore, recommend that banks’ management should deploy adequate resources towards understanding operational risk to ensure sound operational risk management and improved financial performance of banks.

The main purpose of this study is to investigate if determinants that we selected in our analysis have any effects on inflation rate in Western Balkans Countries[1] by using panel data for the period of 2001-2017, in yearly basis in total of 102 observation. The study used quantitative analysis approach and secondary data by applying the multivariate time series, respectively vector error correction model [VECM]. Multivariate time series was applied to investigate whether the budget deficit and other explanatory variable have any significant impact on inflation rate. The results from our analysis shows that three of four determinates that we used are significant on inflation rate. The model summaries statistics for inflation rate which shows that inflation rate has a moderate correlation with explanatory variables that we used in our model, that explanatory variables explain 45.5 percent of dependent variable and we can conclude that a model is a proper and fit. The results suggest that one percent point increase in budget deficit to GDP ratio is associated with about a 9.34 percent point increase in inflation rate.  The overall inference is that the ratios that we selected has a significant influence on the inflation rate in Western Balkans Countries.      [1] Western Balkans Countries: Albania, Bosnia & Hercegovina, Kosovo, Montenegro, North Macedonia and Serbia.

Firm value is dependent on corporate which leads to increased value. High valued firms attract more investors. Towards firm value protection, minimum capital requirements were raised by the Central Bank of Kenya from 250 million to 1 billion shillings on commercial banks to cushion bank shareholders value. Despite the increased oversight and regulatory efforts on corporate governance to protect and enhance firm value, some commercial banks have recorded low firm value. Hence, this study sought to investigate the mediating effect of financial performance on the relationship between corporate governance and firm value of commercial banks in Kenya. The study was anchored on Agency Theory. Explanatory research design was adopted. Target population was forty four Kenyan commercial banks, where a census was conducted. Secondary data was collected from published financial statements and bank websites for the period 2009 to 2018. STATA version 13.0 was used for data analysis. Descriptive and inferential statistics specifically panel regression was used in data analysis. The study findings established that there is a statistically significant effect between financial performance and firm value of commercial banks in Kenya. Therefore, the study concluded that firms with good financial performance have high firm value. And as such, these calls for the management of the commercial banks improve financial performance which will go a long way in improving firm value. There is also need for Central bank of Kenya, Capital Markets Authority and Nairobi Securities Exchange to emphasis on corporate governance and short term goals to enable achievement of long term goals .