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Ready-made garments (RMG) are one of the most critical sectors in the economy of the South Asian region in terms of the labor force employed and export earnings. This research study aims to determine the Corporate Social Responsibility Stakeholders dimension and its influence on textile firms Performance. The study used organizational legitimacy as mediating variable between the CSR stakeholders and firms’ performances. The research study was used in the quantitative analysis approach to determine the cause and effect of the relationship between CSR and Textile firm’s financial and non-financial performance. Though the study collected primary data & secondary data from 250 respondents using survey questionnaires, the researcher obtained secondary data by analyzing the audited annual and sustainability reports of various RMG companies. We have collected data by conducting a focus group interview forming a team of employers, top-level managers, and CSR officers. We asked them all the questions, filled it, tapped it, reserved it for the interpretations. We have surveyed 67 industries, but it enabled us to collect the data from the 50 sectors—the data collected from 2016 April to 2018 December. Our study has some limitations in that the sample size is small compared to the other research. SPSS-23 & MS-Excel were used to analyze the collected data. CSR practices benefitted RMG companies in terms of long-term sustainable development by increasing the firm’s financial and non-financial performance of the RMG sector.

Prior studies in Bangladesh examined how several non-demographic factors influenced consumers' online buying behavior. However, no specific research has been conducted to examine an association between consumers' demographic factors and the online shopping behavior of Bangladeshi buyers. Therefore, this study aimed to examine the association between online shopping behavior and the demographic characteristics of Bangladeshi buyers. The association between six consumers' demographic variables, such as age, gender, income, education, occupation, and marital status, and online shopping behavior, proxied by the frequency of online shopping, was examined. Primary data through a structured questionnaire was collected from the 547 respondents in urban and rural areas of seven divisions in Bangladesh through offline and online surveys. The chi-square test was used to examine the association between consumers' demographic characteristics and online shopping behavior. The study found that male and married consumers with a higher level of education and higher-category jobs have a higher propensity to shop online. However, consumers' age and income level do not significantly impact their online shopping behavior. The study's outcomes are expected to provide online retailers and merchants with critical information about buyer behavior. Keywords: Association, online shopping behavior, demographic characteristics, chi-square test, Cramér’s V, e-commerce. JEL Classification: M31, M39, and L81

The ready-made garments (RMG) sector of Bangladesh has developed immensely under the broad radar of the export market, and its size is beyond imagination. Unfortunately, there has been no study that explores the whole universe of the RMG sector of Bangladesh rather the story of the RMG sector often involves the export market only. The discussion of this paper intends to explore the methodology of unboxing the whole universe of the RMG sector of Bangladesh that includes small and medium-sized manufacturing and processing units that are often involved with subcontracting for other factories (producing for the export market as well as domestic market), are suppliers of the domestic market, are producers of accessories, and are providing backward linkages and associated services. The discussion addresses that along with export-oriented RMG factories there exists an unexplored and unboxed universe of manufacturing and processing units associated with the RMG sector of Bangladesh that contributes to investment, employment, trade, export, and the economy as a whole, all of which remains unaccounted for.

This paper aims to investigate the relationship between profitability measured with ROE along with EPS and several industry-specific factors such as underwriting risk, reinsurance dependence, solvency margin, leverage, liquidity risk, premium growth, size of the company, tangibility of assets as well as macroeconomic factors such as GDP growth, inflation, and stock market development of the general insurance companies of Bangladesh based on the sample of 7 insurance companies for the period of 2010-2019. For the analyses, several econometric models have been adopted to estimate the coefficients such as Pooled OLS, Cross-sectional GLS, Fixed-effect, Random-effect, and One-step GMM approaches. Moreover, diagnostic tests have also been conducted to examine the validity of the models such as model specification tests, heteroskedasticity tests, multicollinearity tests, autocorrelation tests, and unit-root tests. According to the computed coefficients, none of the macroeconomic variables utilized in the model affects profitability, except inflation, which positively affects ROE. Underwriting risk and size are found to negatively affect ROE but positively affect EPS. Of the two measures of profitability, only the EPS is affected by premium growth. Except for Fixed-effect, reinsurance dependence has a large positive influence on EPS and ROE. In contrast, liquidity and leverage have a positive impact on ROE. The tangibility of assets negatively affects both EPS and ROE where EPS is significant and ROE is insignificant only under fixed effect. Aside from premium growth, underwriting risk and solvency margin have a positive impact on EPS. Finally, using the GMM technique, we find that no lag variables are significant, indicating no profitability persistence. However, the model fits the data well for predicting EPS and ROE as profitability measures explaining 89.38 percent of EPS variation and 80.38 percent of ROE variation using Pooled OLS.

The main purpose of this study is to identify the impact of intellectual capital efficiency (ICE) also known as knowledge capital along with its components human capital efficiency (HCE) and structural capital efficiency (SCE) on bank risk-taking behavior in Bangladesh. To reveal this effect, the study uses generalized method of moment (GMM) estimator and Two Stages Least Square estimator (to check the Robustness) and unbalanced panel data of 32 commercial banks of Bangladesh consisting of 530 bank-year observations during the year 2003-2020. The main results of the study are: (a) ICE is significantly and positively connected with a bank’s credit risk which indicates credit risk grows up with the increase of Intellectual capital efficiency, and (b) Both the human capital efficiency and structural capital efficiency positively impacts credit risk but the impact of SCE is not significant as HCE, (c) Bank performance (ROA), RWATA, macro variable inflation, and size have a negative impact on bank risk whereas ID and GGDP insignificant positively impact on bank’s risk. Finally, the results of the study will assist the stakeholders, policymakers, and academicians for future research.

The primary purpose of this research study is to reflect on financial anomalies, especially bank scams in Bangladesh. This study is an empirical approach developed through a well-structured Likert-scaled questionnaire to indicate different human behaviors, psychologies, and emotions that considerably impact financial incongruities in Bangladesh. The proposed model supported the structural equation model (SEM) and used SPSS Amos (Version 24) to build an attitudinal and behavioral model that reflects the complex relationships segment of this paper. Results show people try to rationalize irrational, unethical, and impertinent things and issues to achieve self-gain. Furthermore, corporations are treated as an entity for which they cannot be punished. Apart from this, human natures like greediness, dissatisfaction with what people have, societal status, possession and position, competition with peer groups for luxury, and tendency to imitate bad things are also responsible for bank scams in the Bangladeshi economy. Last but not least bad loan and default culture developed in the banking industry of Bangladesh only lacks execution laws, rules, and regulations.

This study aimed to measure the technical efficiency of information technology (IT) companies listed on the Dhaka Stock Exchange (DSE) in Bangladesh. It included ten listed IT companies for the period 2016–2020. The input-oriented Data Envelopment Analysis (DEA) approach was used to measure technical efficiency. This study used two inputs, such as fixed assets and capital expenditure, and three outputs, such as return on equity, return on assets, and total income, to measure technical efficiency. All the required data were collected from publicly available annual reports, the sample companies’ websites, and the website of DSE. The study found that Bangladeshi-listed IT companies were not adequately technically efficient, with an average efficiency score of 56.6 percent, requiring a 43.6 percent improvement in efficiency during the period 2016–2020. This inefficiency was due primarily to pure technical inefficiency followed by scale inefficiency. The findings of the study are expected to provide important and useful information to the Bangladesh Association of Software and Information Services (BASIS), the Bangladesh Computer Council (BCC), the ICT Division of the Bangladesh government, and the sample companies.

This paper aims to investigate the relationship between profitability measured with ROE along with EPS and several industry-specific factors such as underwriting risk, reinsurance dependence, solvency margin, leverage, liquidity risk, premium growth, size of the company, tangibility of assets as well as macroeconomic factors such as GDP growth, inflation, and stock market development of the general insurance companies of Bangladesh based on the sample of 7 insurance companies for the period of 2010-2019. For the analyses, several econometric models have been adopted to estimate the coefficients such as Pooled OLS, Cross-sectional GLS, Fixed-effect, Random-effect, and One-step GMM approaches. Moreover, diagnostic tests have also been conducted to examine the validity of the models such as model specification tests, heteroskedasticity tests, multicollinearity tests, autocorrelation tests, and unit-root tests. According to the computed coefficients, none of the macroeconomic variables utilized in the model affects profitability, except inflation, which positively affects ROE. Underwriting risk and size are found to negatively affect ROE but positively affect EPS. Of the two measures of profitability, only the EPS is affected by premium growth. Except for Fixed-effect, reinsurance dependence has a large positive influence on EPS and ROE. In contrast, liquidity and leverage have a positive impact on ROE. The tangibility of assets negatively affects both EPS and ROE where EPS is significant and ROE is insignificant only under fixed effect. Aside from premium growth, underwriting risk and solvency margin have a positive impact on EPS. Finally, using the GMM technique, we find that no lag variables are significant, indicating no profitability persistence. However, the model fits the data well for predicting EPS and ROE as profitability measures explaining 89.38 percent of EPS variation and 80.38 percent of ROE variation using Pooled OLS.

Prior studies in Bangladesh examined how several non-demographic factors influenced consumers' online buying behavior. However, no specific research has been conducted to examine an association between consumers' demographic factors and the online shopping behavior of Bangladeshi buyers. Therefore, this study aimed to examine the association between online shopping behavior and the demographic characteristics of Bangladeshi buyers. The association between six consumers' demographic variables, such as age, gender, income, education, occupation, and marital status, and online shopping behavior, proxied by the frequency of online shopping, was examined. Primary data through a structured questionnaire was collected from the 547 respondents in urban and rural areas of seven divisions in Bangladesh through offline and online surveys. The chi-square test was used to examine the association between consumers' demographic characteristics and online shopping behavior. The study found that male and married consumers with a higher level of education and higher-category jobs have a higher propensity to shop online. However, consumers' age and income level do not significantly impact their online shopping behavior. The study's outcomes are expected to provide online retailers and merchants with critical information about buyer behavior. Keywords: Association, online shopping behavior, demographic characteristics, chi-square test, Cramér’s V, e-commerce. JEL Classification: M31, M39, and L81

Sexually Transmitted Diseases/ Infections (STDs/STIs) are a major public health problem and a leading cause of morbidity among women in developing countries like Bangladesh. According to WHO, 2006, STDs/STIs ranks second as a cause of healthy life loss among women in the reproductive age group. This research has been conducted on examining knowledge awareness and prevention of STDs among women. It was conducted in two selected slums (Kathalbagan’s Lakkhi slum and Moghbazar slum) of Dhaka city in Bangladesh. This study was conducted through quantitative research and convenience sampling techniques. A structured questionnaire was developed to collect data on knowledge awareness and prevention of STDs/STIs. The study shows that 68.3% of respondents have knowledge about STDs, in this research majority of respondents are not aware of risk factors associated with STDs. This study examines that, for building awareness, majority of respondents preferred “Radio and Television” as the most important media that can build awareness for STDs among slum women. Special counseling is mandatory for the victims, along with sex education. Awareness about healthy sexual behaviors, a hygienic lifestyle, and instruction about the correct use of male condoms should be promoted to reduce the risk of health complications and greatly reduce the spread of STDs not in Bangladesh but also in developing countries.