Foreign Direct Investment (FDI) in Bangladesh: Prospects and Challenges and Its Impact on Economy

This research will try to examine the FDI plays a dominant role in the economy of Bangladesh through accelerating Gross Domestic Product (GDP), export and domestic investment followed by overall economic growth. So it is vital for a developing country like Bangladesh to carry out effective measures in protecting the prospective foreign investors so that they can get a congenial atmosphere to invest their capital. They should feel that their role in the business arena of Bangladesh is respectfully valued. In this connection, friendly regulations, simplifying regulatory practices, investment incentives and removal of inefficient bureaucratic procedures should be ensured

To What Extent Do the Investment Programs in the Infrastructure Sector Comply with the Determinants of National Competitive Advantage?

The paper has examined what needed has to spend on infrastructure projects that would support the private sector, create real work opportunities, and improve productivity. We’re also not spending evenly on sectors that could contribute to a sustainable economic stimulus, make our products more competitive, and attract investment capital. The PIF has in fact taken on this role. Even though it cannot cover everything, it is working in a number of sectors, including communications, energy, and housing all sectors that spur growth.The fiscal situation, as any observer of Palestine’s economy knows, remains unstable. Obviously expenditure goes primarily to salaries and current expenditures as a result of the extraordinary circumstances. And obv iously this situation can only deepen Palestine’s dependence on donors

Foreign Direct Investment (FDI) in Bangladesh: Prospects and Challenges and Its Impact on Economy

This research will try to examine the FDI plays a dominant role in the economy of Bangladesh through accelerating Gross Domestic Product (GDP), export and domestic investment followed by overall economic growth. So it is vital for a developing country like Bangladesh to carry out effective measures in protecting the prospective foreign investors so that they can get a congenial atmosphere to invest their capital. They should feel that their role in the business arena of Bangladesh is respectfully valued. In this connection, friendly regulations, simplifying regulatory practices, investment incentives and removal of inefficient bureaucratic procedures should be ensured

Effects of brand awareness, religious belief, and brand trust on purchase intentions of halal products among young consumers

Halal brands are gaining popularity among Muslim consumers across the world. This study aims to explore the effect of brand awareness, religious belief, and brand trust on young Muslim consumers’ willingness to purchase halal-branded products. The electronic questionnaires were distributed to participants through Google Forms via a popular social media platform. The survey sample consisted of university students from Bangladesh who identified as Muslims. The paper utilized a purposive sampling technique to select participants for the study, resulting in a total of 517 respondents being included in the sample. Finally, 479 responses were found usable for this study, with a response rate of 92.70%. Among 479, 300 participants were male, while 179 students were female university students. The latest edition of the software SPSS has been employed to examine hypotheses and correlations, with a confidence level of 95%. The results showed a significant impact of brand awareness, religious belief, and brand trust on purchase willingness. Moreover, it indicates that consumers’ brand awareness about halal products (β = 0.392) has a greater effect on their purchase willingness. These findings have the potential to provide valuable insights for halal brands, as they can have a substantial impact on the purchasing choices of young Muslim consumers, particularly regarding their religious and halal concerns

Critical success factors of the financial performance of commercial private banks: A study in a developing nation

This study’s objective is to examine the impact of employee innovativeness, readiness to change, employee creativity, and learning capability on the financial performance of private banks in Bangladesh. The study involved 334 bank employees from three prominent private banks in Bangladesh. Those banks were selected with better ratings by the central bank and have several branches across the country. First, branch managers were contacted about this study and collected employee emails from each branch information desk. Then, email invitations were sent to each employee of the selected bank branches. This study involved branch managers, senior officers, officers, and junior bank executives. Past studies also considered senior and junior bank officers as they directly contribute to a bank’s performance. The study utilized a methodical questionnaire to assess the three independent variables: employee innovativeness, readiness to change, and learning capability. The dependent variable in this study was financial performance, which was assessed through key financial indicators such as profitability and sales growth over three years. SPSS was utilized to conduct hypothesis testing by considering 95% confidence interval. Correlation results show that all three independent variables were significantly correlated with the bank’s financial performance. The study’s regression results suggest that bank employees’ readiness to change (β value = 0.393) significantly impacts the bank’s financial performance, followed by employee innovativeness (β value = 0.338). On the other hand, employees’ learning capability (β value = 0.202) has the least significant impact on financial performance. Moreover, three independent variables explain 42.9% variance in bank financial performance

Pre and Present COVID-19 Situation: A Framework of Educational Transformation in South Asia Region

This study is designed to support the development of strategies to recover from the disrupted impact of COVID-19 on HE institutes of the South Asian Region (SAR), as the nations in this region are severely cursed by poverty and unemployment. During the unusual phase of the COVID-19 pandemic, the face-to-face learning method is no longer appropriate, and the crisis leads to force on distance learning instead of physical learning. Like all other educational institutions, HE institutions are also in big trouble. Changes in educational structure change the pattern of academic work, which may have an inverse impact on acquiring knowledge and improving skills. Not only students but also a greater number of teachers at the HE institutions required to continue their service through online during this closure period. However, well digital infrastructure and digital contents appear to be the prime requirements for this educational transmission, which are extensively accessible in SAR countries. By following a mixed-methods strategy, the study specifically examines the impact of the pandemic on higher education in the South Asian Region, with an emphasis on the impact on learners, educators, and institutions, and to identify the measures that have been taken by these countries to survive and continue the education system with all the obstacles of the crisis. It concludes with some vital suggestions that may be applied to mitigate the crisis moment and assist in moving forward with more technological advancements for a new future. Doi: 10.28991/ESJ-2023-SPER-06 Full Text: PD

Fitting Multi-Layer Feed Forward Neural Network and Autoregressive Integrated Moving Average for Dhaka Stock Exchange Price Predicting

The stock market plays a vital role in the economic development of any country. Stock market performance can be measured by the market capitalization ratio as well as many other factors. The primary purpose of this study is to predict the movement of the stock market based on the total market capitalization of the Dhaka Stock Exchange (DSE) using autoregressive integrated moving average (ARIMA) models as well as artificial neural networks (ANN). The data set covers monthly time series data of total market capitalization from November 2001 to December 2018. This study also shows the best model for forecasting the movement of DSE market capitalization. The ARIMA (2,1,2) model is chosen from among the several ARIMA model combinations. From several artificial neural networks (ANN) models as a modern tool, a three-layer feed-forward topology using a backpropagation algorithm with five nodes in the hidden layer, one lag, and a learning rate equal to 0.01 is selected as the best model. Finally, these selected two models are compared based on the Root-Mean-Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Theil’s U statistic. The results showed that the estimated error of ANN is less than the estimated error of the traditional method. Doi: 10.28991/ESJ-2022-06-05-09 Full Text: PD

EFFECT OF FABRIC STRUCTURE ON RIB FABRIC PROPERTIES

In this work,1×1Rib,1×1Skeleton rib, 2×2English rib, 2×2Swiss rib, 6×3Derby rib were produced with 20/2 Ne and 32/2 Ne combed ring yarn and V-bed knitting machine of 14 Gauge. In addition, Wales per 3cm, Course per 3cm, Stitch density, Stitch length, Tightness factor, GSM, Dimensional Stability of fabric were tested. According to test result, Wales per 3cm, Stitch density, Cover factor, GSM of 1×1Rib were higher than the 1×1Skeleton rib;Wales per 3cm, Course per 3cm, Stitch density, Stitch length, Cover factor, Shrinkage%, extension% of 2×2English rib were higher than the 1×1Rib; Wales per 3cm, Stitch density, GSM, Shrinkage%, extension% of 2×2Swiss rib were higher than the 1×1Rib; in 6×3Derby Rib values of the properties were higher than other structure; shrinkage and extension percentage increase with the increase of needle drop in knitting

Bank becomes cashless: Determinants of acceptance of mobile banking (fintech) services among banking service users

Fintech services such as mobile banking are gaining significant acceptance among the citizens in Bangladesh. Therefore, this study aims to explore the determinants that influence banking service users’ decisions to accept and use fintech services such as mobile banking in an emerging market, specifically in Bangladesh. A questionnaire was developed and distributed to individuals actively using banking services in Bangladesh. A total of 400 questionnaires were distributed to individuals who have active bank accounts. This study obtained a total of 315 valid responses that were deemed suitable for inclusion in the data analysis, with a response rate of 78.75%. Furthermore, a five-point Likert scale was utilized to evaluate the responses to the item-based questionnaire. To evaluate the hypotheses, a significance level of 5% was applied, and the data pertaining to the subject matter and purpose of this study were examined using the SPSS v.29. The results of the study display that the acceptance of mobile banking (fintech) services is pronouncedly shaped by perceived trust, privacy, and security but not by perceived risk. Importantly, perceived security (β value = 0.302) has the greatest impact on mobile banking acceptance among customers compared to other variables. This study contributes to the literature by investigating the propensity of using Fintech services within the context of mobile banking