http://ar.cou.ac.bd:8080/xmlui/handle/123456789/4 Thu, 28 May 2026 18:53:04 GMT 2026-05-28T18:53:04Z http://ar.cou.ac.bd:8080/xmlui/handle/123456789/321 Teachers' Intentions of Using Mobile Applications in Teaching Post Covid-19 Pandemic: Insights from Public and Private Universities in Bangladesh Md. Maqbul, Hassain; Abdulla Al-Towfiq, Hasan The purpose of this study is to explore teachers' intentions of using teaching through mobile applications in post Covid-19 context among public and private universities in Bangladesh. 389 usable responses are analyzed by using subsequent Partial Least Structural equation model (PLS-SEM) of version Smart PLSJ.3.3. The study reveals that perceived usefulness, perceived ease of use, perceived emotional benefits, and post Covid-19 attitude significantly influence teachers' intentions of using the teaching mobile applications in post Covid-19 context among some public and private universities in Bangladesh. Further, this study has identified that post Covid-19 attitude moderates on the relationship between perceived usefulness, perceived ease of use, and perceived emotional benefits and intentions to use teaching mobile applications. This study uniquely contributes to technology adoption literature, integrating perceived usefulness, perceived ease of use, and perceived emotional benefits in explaining the intentions of using teaching mobile applications in post Covid-19 context among public and private universities in Bangladesh. Fri, 01 Dec 2023 00:00:00 GMT http://ar.cou.ac.bd:8080/xmlui/handle/123456789/321 2023-12-01T00:00:00Z http://ar.cou.ac.bd:8080/xmlui/handle/123456789/319 Impact of Training and Development on Employee Productivity in the Readymade Garments Industry of Bangladesh: The Mediating Role of Training Motivation Md Mahbub, Alam This study aims to investigate the relationship between training and development initiatives and employee productivity within the context of the Bangladeshi readymade garments industry, with a specific focus on the mediating role of training motivation. A quantitative approach was adopted to collect and analyze data for this study. Quantitative data were gathered through structured questionnaires distributed among employees working in various roles within readymade garments factories across Bangladesh. The questionnaire included measures of training and development practices, employee productivity, and training motivation. Data were collected from 400 respondents through stratified random sampling. Were collected data was analyzed through SPSS 23 and Smart PLS 4. The analysis revealed a significant positive correlation between training and development initiatives and employee productivity in the readymade garments industry of Bangladesh. Furthermore, training motivation emerged as a key mediating factor in this relationship. Employees who exhibited higher levels of motivation towards training activities demonstrated increased engagement, knowledge acquisition, and skill enhancement, ultimately leading to enhance productivity levels. The qualitative findings corroborated these quantitative results, providing nuanced insights into the specific training practices and motivational factors that influence employee productivity in this industry. This study contributes to the existing literature by providing empirical evidence of the relationship between training and development, employee productivity, and training motivation within the context of the Bangladeshi readymade garments industry. These findings have practical implications for the RMG sector, offering insights into strategies for improving workforce productivity through targeted training and motivational initiatives. Fri, 01 Dec 2023 00:00:00 GMT http://ar.cou.ac.bd:8080/xmlui/handle/123456789/319 2023-12-01T00:00:00Z http://ar.cou.ac.bd:8080/xmlui/handle/123456789/317 An Empirical Test of the Arbitrage Pricing Theory: The Case of Dhaka Stock Exchange (DSE) Farhana, Akter; Tandra, Mondal This study empirically tested Arbitrage Pricing Theory (APT) in the Dhaka Stock Exchange [DSE) using five macroeconomic variables namely money supply, index of industrial production, crude oil price, remittance, and foreign exchange reserves. Monthly data from January 2013 to June 2021 was employed in the empirical analysis. The study adopted the Autoregressive Distributed Lag (ARDL) Model and Granger causality test. The long-run ARDL results indicate that none of the selected macroeconomic variables have statistically significant influence on stock return in the long term. Except for remittances, the other four variables are positively related to the stock return of DSE. The divergence of remittance may be attributed to its predominant allocation toward household consumption, land acquisition and other non-equity investments. In the short run, money supply and crude oil price have significant and positive impact on stock return while the other variables have insignificant effects. The study suggests that 118% of the disequilibrium in the return of DSE is adjusted monthly to get back to the long-run equilibrium. The Granger causality test result revealed a bi-directional causality between stock return and money supply and a unidirectional causality running from industrial production index, crude oil price, and remittances to stock return while another unidirectional causality running from the stock return to foreign exchange reserves. Overall, the findings of the results suggest that APT is valid in the DSE in the short run but not applicable in the long run. Fri, 01 Dec 2023 00:00:00 GMT http://ar.cou.ac.bd:8080/xmlui/handle/123456789/317 2023-12-01T00:00:00Z http://ar.cou.ac.bd:8080/xmlui/handle/123456789/315 Does Capital Structure Matter for Firm Performance? A Study on Listed Companies Brishti, Chakraborty; Syeda Nabila, Naz Moon This study examines the impact of capital structure on a company’s performance in the manufacturing industry in Bangladesh. The data is based on all listed companies in the public and private sectors. The required data was gathered from related financial statements of the concerned industry from 2014 to 2021. We used the Two-Stage Least squares (2SLS) to find out the correlation between independent variables and dependent variables. Here, ROA [Return On Assets), EPS [Earnings Per Share), and NPM (Net Profit Margin) are used to measure firms’performance. The ratios of the long-term debt ratio, total debt ratio and short-term debt ratio are considered the determinants of capital structure. Findings revealed that the short-term debt ratio is positively and significantly related to ROA and EPS, but negatively associated with NPM. In contrast, the Long-Term Debt Ratio (LTDR) has a significant negative impact on EPS. Control variable Firm Size (FS) consistently showed a significant positive infiuence on ROA and EPS, indicating that larger companies outperform smaller ones. More dependence on short-term debt positively affects profitability, while higher dependence on long-term debt can lessen it. This research supports original insights by covering manufacturing sectors which remain uncovered in the research area. The 2SLS regression addresses endogeneity and confirms more consistent outcomes. Moreover, this study offers a robust and context-specific analysis of a developing economy, utilizing firm-level panel data and a range of performance measures. The result will help in retaining an optimal capital structure, which will ultimately direct stockholders to wealth maximization. Fri, 01 Dec 2023 00:00:00 GMT http://ar.cou.ac.bd:8080/xmlui/handle/123456789/315 2023-12-01T00:00:00Z