IUBAT Review
A Multidisciplinary Academic Journal
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Published on 2020

Abstract: The perception of inward remittance flow-led economic growth is framed mostly for cross-country scenarios; however, the country-specific causal link between migration, remittances, and economic growth is little explored. This study examines the migration-remittance-growth linkage for Bangladesh using time-series data from 2001 to 2017 and the Vector Autoregression (VAR) framework. The study identifies one-way negative causality on migration arising from both remittances and economic growth. The study does not find any significant causality between higher economic growth and remittances, nor from migration on economic growth or migration on remittance. Thus, the study suggests that higher economic growth or higher remittance inflow may discourage migration in the long run. Hence, a higher level of income through faster economic growth may end up with a lower level of inward remittance growth. Proper long-term policy design is required to handle such a situation

Published on 2020

Abstract:A wide range of academic literature confirms the harm of rising levels of NPL on macroeconomic performance (for example, GDP growth, unemployment rate, and inflation rate). The core objective of this paper is to identify the macroeconomic determinants which explain the changes in the NPL ratio. The determinants will serve as a guideline for policymakers to design present and future safeguards against rising NPL ratio in the financial sector. Fifteen developing countries were considered for the period ranging from 2008 to 2017. Using the fisher type ADF test, all the macroeconomic variables were tested for unit-root. Afterward, the System GMM Estimation was used to investigate the relationship between macroeconomic variables and the NPL ratio. The inflation and Lending rate become statistically insignificant once lags were introduced to the model. The GDP growth rate and the one period lagged NPL ratio have a statistically significant impact on the NPL ratio in all model specifications.

Published on 2020

Abstract: This paper represents the corrosion behavior of silicon-based ceramics composed of silicon, aluminum, magnesium, and iron in HCl and Jarul leaf juice intending to find a suitable solution that makes minimum corrosion. Four different solutions of HCl of Ph value of 0.86, Jarul leaf juice of Ph value of 4.97, 60% HCl with 40% Jarul leaf juice of Ph value of 1.13, and 40% HCl with 60% Jarul leaf juice of Ph value of 1.31 were prepared. At first, the weights of the four samples of silicon-based ceramics were taken. Then they were kept in four different solutions for 30 days. Again, the weight of each sample was measured and compared with the weight of before 30 days, the weight difference was found. The effect of corrosion on the surface of each material was studied. Finally, morphological analyses of samples are performed by scanning electron microscopy.

Published on 2020

Abstract:Rapid population growth along with contamination of water is adversely affecting Dhaka’s water supply and making it difficult to meet the city’s water demand. Proper measures should be implemented to overcome the abuse of water. This study has been accomplished using the fuzzy analytical hierarchy process (FAHP) to evaluate the residential water conservation practice in Dhaka city, Bangladesh. This research revealed various courses of action to improve residential water conservation. First, an index system was developed. Then, a pair-wise comparison was used to produce weights using Saaty’s rating scale for each criterion. In this study, the highest assessment index value for multi-level AHP fuzzy comprehensive evaluation was 0.40, which can be termed as “Fair” based on the fuzzy comment set. The evaluated results exhibit a new opportunity for water resource management, planning, and design, and a means to target water abuses.

Published on 2020

Abstract:The paper represents job satisfaction and employee engagement in the Kindergarten School. The purpose of the paper is to measure job satisfaction among kindergarten school teachers in Bangladesh and then to investigate the relationship between job satisfaction and employee engagement. To conduct the study, three hypotheses have been developed and tested with multiple regression and correlation from the SPSS output. To collect data, a survey questionnaire was developed and filled up by 456 teachers from 114 kindergarten schools in Bangladesh. The paper explores that absence of Hygiene factors, such as Remuneration, Working condition, Administrative policy cause higher job dissatisfaction and lack of Motivators, such as Advancement, Recognition cause lower job satisfaction among kindergarten school teachers. The paper also tests the relationship status between job satisfaction and employee engagement which describes a strong positive relationship. Consequently, most of the school teachers who are the respondents of this study are considerably dissatisfied as well as disengaged.

Published on 2020

Abstract:Background: Standardised tests like IELTS Speaking examination has various parameters to gauge the English speaking competency of an individual. . However, there are doubts whether conversations that occur in standardised tests bear resemblance to real-life conversations. Since these tests assess an individual’s conversational proficiency, it is important to examine the resemblances in order to understand whether a natural conversation can take place in tests. Objective: To understand the differences between the IELTS speaking interview and real-life conversations. Methods: The paper is heavily reliant on qualitative data. An original discourse between two NNSs from Bangladesh pursuing postgraduate degree in England was recorded for the purpose. They engaged in conversation in a non-institutionalised environment. Result: Although the questions for IELTS examinations are pre-set unlike in genuine conversation, the former bears similarity with real-life conversations. Both speakers act as 'examiners' in conversation: Speaker A initiates conversation through topic changes or topic fading, while Speaker B uses back-channelling to allow Speaker A to keep the floor.

Published on 2020

Abstract:The use of technology has been increasing in higher education for decades and educational research has demonstrated different ways of integrating the use of technology into ESL teaching. The expansion of the information and communication technology has provided ESL teachers with the technological tools that can be implemented as pedagogical instruments in classrooms. The research, therefore, focuses on participants’ views regarding the integration of technology in language learning activities and the educators’ views on the possibilities and challenges of technology enhanced language teaching in ESL classrooms in Bangladesh. The study explores the participants’ views through a survey among sixty tertiary level students of three institutions and sixteen language teachers of the same institutions. The findings of the research are useful for ESL teachers to know about the possibilities and challenges of using technology in ESL teaching in Bangladesh.

Published on 2020

Abstract:Loan classification is a common phenomenon in the banking arena. Firstly, this study observes loan classification and recovery of loan classification within 5 consecutive years of Pubali Bank Limited. Secondly, it tries to identify the causes of a loan classification from both the bankers and the defaulted customers’ points of view of the Pubali Bank Limited. Thirdly, it talks about the impact on profit of Pubali Bank Limited for the classified loan. And finally, it forwards some suggestions for improving the recovery performance of the classified loans. To identify the causes of loan classification, a total of 200 respondents’ opinions have been taken which are randomly collected from 473 different branches of Pubali Bank Limited. The recovery of classified loans and the classified credit outstanding are hugely different from the years 2012 to 2016. To investigate the causes of loan classification, a questionnaire-based survey has been conducted to collect the primary data. The study shows that the lack of loan supervision is the vital reason for loan classification which is marked by the 62% defaulted customers; while on the other hand 66% bankers traced that the most important cause for the loan classification is lack of loan supervision. This study describes that the classified loan rate is the most important issue that has negative effect on bank profitability and inability to survive. Classified credits of the Pubali Bank’s will not end in a blink, they have to reduce gradually. Therefore, Pubali Bank will have to train the customers before and after distribution loan, create reasonable interest rates, monitoring clients and select the genuine borrowers through fair investigation.

Published on 2020

Abstract:This paper proposes a multi-step ahead wind speed forecasting approach utilizing Long Short Term Memory Recurrent Neural Network – LSTMRNN (a deep learning technique). Accurate wind speed forecasting is the prerequisite to harvest maximum power from windmills. Proper forecasting of wind speed directly impacts the generation, demand management and unit commitment of windmills. In this research, one year’s historical dataset consisting of wind speed, relative humidity and temperature of thirty minutes interval has been considered to train the proposed LSTMRNN model. The model’s performance has been evaluated by Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE). The performance of the proposed model has also been compared with another machine learning model called Convolutional Neural Network – CNN. The results show that the proposed model can forecast wind speed with much better accuracy in comparison with CNN.

Published on 2019

Abstract:Gradual deterioration of structures leads the engineers towards the Structural Health Monitoring system to confirm the existing serviceability scenario, where modal properties are the indispensable part of the process. Modal properties like modal frequency and mode shape from the service providing structure are essential to adjust the numerical finite element model to make the model more like the existing structure. This study built up the mode shape and computed the natural frequency of a precast box girder bridge to compare with numerical model. The selected bridge for this study is situated close to Bangkok city known as canal crossing bridge. A finite element model was developed based on as built drawing, and then, the model was updated with the existing structure’s modulus of elasticity. The ultrasonic pulse velocity test was conducted to obtain modulus of elasticity data. Then accelerometers data were collected under ambient vibration situation from each predefine station to find the modal properties. The study found that mode shape and natural frequency for first mode are similar for both calculated from acceleration data and numerical model.

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The IUBAT Review is a multidisciplinary academic journal that the editors intend to publish annually. The office of the journal is located at the International University of Business Agriculture and Technology, the first non-government university in Bangladesh.

IUBAT Review is peer-reviewed. The editors accept submissions from authors in Bangladesh and elsewhere. The articles should generally analyze current issues relevant to management, social sciences, engineering, agriculture, science and technology.