The study showed the effect of cyber threats or technical problems on customer attitude towards e-banking services. A self-administered questionnaire was used to collect the data, and 400 respondents from eight divisions (Dhaka, Barisal, Rangpur, Chittagong, Khulna, Mymensingh, Rajshahi, and Sylhet) participated in the study. The researcher used a linear regression model to assess the relationship between dependent and independent variables. STATA and SPSS v. 25 program environment were used to conduct the statistical analysis. To determine the reliability of the data, Cronbach's Alpha was conducted and found acceptable internal consistency. Protection method (PM), Purposes of using e-banking (PUE), and Technical problems and challenges (TPC) were the independent variables. The dependent variables were ease of use (EU) and Security reason (SR). The study used two regression models for two dependent variables. The regression model (1) showed a significant effect of SR on PM, and there was no significant effect on SR on PUE and TPC. Another regression model (2) showed a significant effect of EU on PM and PUE, and there was no significant effect of EU on TPC. However, the total variance explained was still low in model 1 (22.6%) and model 2 (44.9). The people of Bangladesh should be aware of e-banking services and technical problems. Future research should be conducted to discover more data and other variables affecting customer attitudes towards e-banking.

The study showed the effect of the COVID-19 pandemic on healthcare expenses including the price of medicines, protective equipment, medical devices, healthcare facilities, and food. A self-administered questionnaire was used as the data collection tool and 400 people from different Bangladesh divisions (Dhaka, Chittagong, Barisal, Khulna, Mymensingh, Rajshahi, and Sylhet) participated in this study. Multiple regression analysis was used to estimate the impact of independent variables on dependent variables. R programming environment was used to perform the statistical analysis. Cronbach’s alpha was used for determination of reliability and found acceptable internal consistency. The price of protective equipment (POPE), the price of a healthcare facilities (POHCF), the consequences of rising prices (CRP), and COVID-19 were independent variables. COVID-19 (CRP) was a dependent variable that measured COVID-19’s impact (IC). The results of the regression analysis indicated a positive and significant impact of POPE, POHCF, and CRP on IC. However, the variance explained was still low (54.4%). Bangladesh should control the prices of all goods and services because of their influence on the impact of COVID-19. Future research should be conducted to discover other variables that affect the impact of COVID-19.

The study investigated the factors that influence the Return on Assets (ROA) of manufacturing firms in Bangladesh. The study relied on secondary data sourced from the audited annual reports of 15 leading manufacturing firms in Bangladesh, covering a period of ten years from 2013 to 2022. The sample firms were selected based on their listing on the DSE-30 and CSE-30 indices and their status as leading firms in the manufacturing sector using a Random Sampling Method to ensure representativeness and avoid selection bias. The study employed the One-Step Generalized Method of Moments (GMM) estimator to analyze the data, addressing the presence of endogeneity and heteroskedasticity. The results of the study indicated that the natural logarithm of Net Profit Margin (NPM) and Total Sales (TS) have a significant positive relationship with ROA, while the natural logarithm of Total Assets (TA) has a significant negative relationship with ROA. However, the study did not find any significant relationship between the leverage ratio (D RATIO) and ROA. The lagged value of the dependent variable (L) was also found to be insignificant. The study's findings suggest that firms can enhance their ROA by improving their profitability and increasing their sales, while avoiding excessive growth in their asset base. Additionally, larger firms may face diseconomies of scale that reduce their profitability. However, the lack of a significant relationship between leverage and ROA is somewhat surprising, and further research is needed to better understand the relationship between leverage and ROA in different contexts. Overall, the study utilized a rigorous data collection approach to ensure the reliability and validity of the data used for analysis, providing accurate results that can be relied upon for making informed decisions.

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Food is required for both humans and animals, however during the covid-19 era, many small and medium-sized food enterprises are struggling to produce and transport food, and others are on the verge of closing down. Now is the moment to build a future strategy and action plan for the small and medium-sized food industry to mitigate the economic effects of the COVID-19 outbreak. This study’s objective is to identify probable tactics, policies, and action plans and evaluate their efficacy and acceptability. This study also explores and quantifies the post-COVID effects of Covid-19 on Bangladesh’s Small and Medium-Scale Food Industries. Using a non-probability sample technique, three types of self-administered questionnaires were utilized to gather data from the owner, factory in-charge, manager, and CEO of the Food and Beverage Manufacturing sector. Using SPSS software V.25, descriptive analysis was performed to display frequencies, %ages, and mean scores, while one-sample t-test was utilized to compare the value (mean) of the viewpoints (strategies & action plans) with the supplied value (test value). Results indicate that the probable strategies and action plans (14 strategies) that need to be implemented by the government is high and acceptable and that the effectiveness of other probable strategies and action plans (5 strategies) that need to be implemented by food and beverage manufacturers may also acceptable and could apply to the post-covid situation.