The Determinants of Foreign Direct Investment in Bangladesh

The aim of this paper is to explore, by estimating a linear regression model, the determining factors of foreign direct investment (FDI) inflows in Bangladesh over the period of 2005-2015. The study has used secondary data from publications issued by the Bangladesh Bank (BB) and other statistical reports. In the model, dependent variable is FDI and Independent variables are Market Size, Inflation, Openness, Corporate tax rate, Domestic Investment, Labor Force, Average Exchange Rate, Real interest rate. The result shows that Market Size, Openness, Labor Force, Average Exchange Rate and Real interest rate have positive effect on FDI inflow. On the other hand corporate tax rate and Domestic Investment have negative effect on FDI inflow. Keywords: Foreign Direct Investment (FDI), Determinants, Economic Growth, Bangladesh

Factors Affecting Repurchase Intention of Customers: In the Context of Retail Chain Store Industry in Bangladesh

This study inspects the various factors affecting the repurchase intention of consumers towards a retail chain store in Bangladesh. The research is divided into two part. First part includes a focus group interview to identify the factors important to consumers to revisit the store. These factors are store image, perceived value and satisfaction. The second part includes a survey of 110 retail store customer to check the validity and reliability of the variables and a seven rating scales is used for this purpose. For the analysis the researcher used various statistical tools like mean, standard deviation, correlation and regression. The results found two factors, perceived value and satisfaction are significantly related to repurchase intention and store image is not statistically and significantly associated to intention. The applications in management and implications for future research are discussed. Keywords: store image, store satisfaction, perceived value, repurchase intentio

Image based real-time ice load prediction tool for ship and offshore platform in managed ice field

The increased activities in arctic water warrant modelling of ice properties and ice-structure interaction forces to ensure safe operations of ships and offshore platforms. Several established analytical and numerical ice force estimation models can be found in the literature. Recently, researchers have been working on Machine Learning (ML) based, data-driven force predictors trained on experimental data and field measurement. Application of both traditional and ML-based image processing for extracting information from ice floe images has also been reported in recent literature; because extraction of ice features from real-time videos and images can significantly improve ice force prediction. However, there exists room for improvement in those studies. For example, accurate extraction of ice floe information is still challenging because of their complex and varied shapes, colour similarities and reflection of light on them. Besides, real ice floes are often found in groups with overlapped and/or connected boundaries, making detecting even more challenging due to weaker edges in such situations. The development of an efficient coupled model, which will extract information from the ice floe images and train a force predictor based on the extracted dataset, is still an open problem. This research presents two Hybrid force prediction models. Instead of using analytical or numerical approaches, the Hybrid models directly extract floe characteristics from the images and later train ML-based force predictors using those extracted floe parameters. The first model extracted ice features from images using traditional image processing techniques and then used SVM and FFNN to develop two separate force predictors. The improved ice image processing technique used here can extract useful ice properties from a closely connected, unevenly illuminated floe field with various floe sizes and shapes. The second model extracted ice features from images using RCNN and then trained two separate force predictors using SVM and FFNN, similar to the first model. The dataset for training SVM and FFNN force predictors involved variables extracted from the image (floe number, density, sizes, etc.) and variables taken from the experimental analysis results (ship speed, floe thickness, force etc.). The performance of both Hybrid models in terms of image segmentation and force prediction, are analyzed and compared to establish their validity and applicability. Nevertheless, there exists room for further development of the proposed Hybrid models. For example, extend the current models to include more data and investigate other machine learning and deep learning-based network architectures to predict the ice force directly from the image as an input

Impact of Internet Retail Service Quality Factors on Satisfaction of e-shoppers in Bangladesh

The current Technological advancement in Bangladesh has opened up tremendous growth opportunity for e-commerce. Growing awareness and interest among consumers to use online for purchasing also play a very important role in the development of online retailers in Bangladesh. The purpose of this study is to identify the impact of Internet retail service quality factors on satisfaction of e-shoppers in Bangladesh. This is accomplished via two studies. First study based on qualitative focus group interviews to identify four variables important to consumers in their evaluation of the quality of online retailers. These are termed Ease of use, Access, Assurance, Performance, Information. Second study includes conducting a seven rating questionnaire survey collect data from 198 online customers. the researcher used statistical techniques like mean, standard deviation, correlation and regression analysis. The result supports all the hypothesis except H2. Which means Access is not significantly correlated to Satisfaction.

Duration of Breastfeeding and Its Correlates in Bangladesh

The purpose of this study was to assess the duration of breastfeeding and the sociodemographic factors affecting it. Data for the study were drawn from the Bangladesh Demographic and Health Survey 2004. In total 5,364 mothers were included in the study. The life table and Cox's proportional hazards model were employed for the analysis of breastfeeding-related data, which showed that the average duration of breastfeeding was 31.9 months. Cox regression analysis revealed that the duration of breastfeeding was positively associated with maternal age, contraceptive-use, work status, and religion and was negatively associated with age at marriage, parity, delivery status, region, and maternal education. Younger mothers, having higher education, higher maternal parity, caesarean-section birth, being a Muslim, and mothers who have not used any contraceptive were associated with lower duration of breastfeeding. The findings suggest that health institutions can play a significant role in promoting breastfeeding in Bangladesh. Educational campaigns that stress the benefits of lactation are important strategies for encouraging mothers to breastfeed longer

Reality of EFL Classes: With Students of Varied Proficiency Levels

Abstrac

Duration of Breastfeeding and Its Correlates in Bangladesh

The purpose of this study was to assess the duration of breastfeeding and the sociodemographic factors affecting it. Data for the study were drawn from the Bangladesh Demographic and Health Survey 2004. In total 5,364 mothers were included in the study. The life table and Cox's proportional hazards model were employed for the analysis of breastfeeding-related data, which showed that the average duration of breastfeeding was 31.9 months. Cox regression analysis revealed that the duration of breastfeeding was positively associated with maternal age, contraceptive-use, work status, and religion and was negatively associated with age at marriage, parity, delivery status, region, and maternal education. Younger mothers, having higher education, higher maternal parity, caesarean-section birth, being a Muslim, and mothers who have not used any contraceptive were associated with lower duration of breastfeeding. The findings suggest that health institutions can play a significant role in promoting breastfeeding in Bangladesh. Educational campaigns that stress the benefits of lactation are important strategies for encouraging mothers to breastfeed longer

バングラデッシュのダッカにおける水問題への意識に基づくステークホルダーの相対的位置関係の評価

学位の種別:課程博士University of Tokyo(東京大学