Browsing by Author "Rahman, Abdul Aziz Abdul"

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Analysis on the Marketing Strategy and Competitive Advantage of Banking Industry in Bangladesh
(Scopus, 2021) Nahar, Sabrin; Meero, Abdelrhman; Rahman, Abdul Aziz Abdul; Hasan, K.B.M. Rajibul; Islam, K.M. Anwarul; Zayed, Nurul Mohammad; Alam, Md. Faisal-E-
This study mainly focuses on the marketing strategies and investigates how it relates with the competitive advantage in the banking sectors. The researchers evaluate the existing marketing strategies of HSBC bank by using interpretivism research philosophy to understand the situation, identify the problem and solve it. The deductive research approach is used to develop the hypotheses and regression analysis is used to test the hypotheses. The researchers apply random sampling techniques to select sample size of 50 and collect the data in the convenience sampling basis. However, this study finds out two most influential factors of competitive advantage that are brand value and customer satisfaction. By analyzing these two influential factors the researchers suggest HSBC bank to concentrate on Social Media Marketing since 44% of customers are linked with them via social media.
Fitting Multi-Layer Feed Forward Neural Network and Autoregressive Integrated Moving Average for Dhaka Stock Exchange Price Predicting
(Scopus, 22-08-14) Rubi, Maksuda Akter; Chowdhury, Shanjida; Rahman, Abdul Aziz Abdul; Meero, Abdelrhman; Zayed, Nurul Mohammad; Islam, K. M. Anwarul
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.
Impact of Leverage Ratios on Indicators of Financial Performance
(Scopus, 2021) Rahman, Abdul Aziz Abdul; Meero, Abdelrhman; Zayed, Nurul Mohammad; Islam, K. M. Anwarul; Rabbani, Mustafa Raza; Bunagan, Venus Del Rosario
The study aims to explore the effect leverages on the performance of different industrial firm operating in Bahrain. The financial (DFL), operating (DOL) and combined leverages (DCL) were used as independent variables. The financial performance considered as dependent variable is measured by three financial ratios which are: the net income on assets (ROA), return on equity (ROE), and net profit margin (NPM). The sample respondents of this study include three industrial companies, Aluminum Bahrain (ALBA), Bahrain Flour Mills Company (BFM), and Delmon Poltry Company (POLTRY) for the period 2016-2019. The SPSS program was employed to explore the impact of DFL, DOL, and DCL on the three performance variables. The findings indicated no significant impact on for all the independent variables on all the dependent variables. This study recommends the necessity do new studies to examine the impact of different leverage ratios on other financial performance ratios such as economic value-added capital restructuring, and earnings per share.
Interrelationship between Three Dimensions of Sustainable Performance Measurement among Malaysian Manufacturing Companies
(Daffodil International University, 2022-03-04) TEH, Boon Heng; Rahman, Abdul Aziz Abdul; Ong, Tze San; Ng, Sin Huei; Magsi, Hussain Bakhsh
Corporate financial responsibility is the sole driving force of business in the business sector, as the primary goals of a firm are to maximize profit and grow shareholder value. However, in the previous decade, larger corporate obligations have been recognized, including environmental, local community, working conditions, and ethical standards. With the rise of "sustainability" reasons, unprecedented climate change is being measured into corporate strategy in the direction of sustainable thinking. The triple bottom line (TBL) is a sustainability assessment that combines environmental and social factors in addition to profitability and the rate of return on investment. The purpose of this research is to look into the interrelationships between the three dimensions of sustainable performance measurement (SPM) in Malaysian manufacturing companies. A questionnaire is issued to 600 manufacturing companies in the Federation of Malaysian Manufacturers (FMM) as part of a quantitative data collection approach. All the proposed hypotheses are supported, thus showing the interrelationship between three dimensions of SPM existed. Consequently, Malaysian companies are lagging behind in terms of SPM’s adoption compared to developed countries. Because of that, more government efforts to facilitate the adoption of SPM practice among companies are needed. The sole focus on the manufacturing industry, accuracy of data collection and time constraint are the limitations of this study. Therefore, it is suggested that further research should explore more the interrelationship between the three dimensions of SPM.
Social Media and Tourists’ Decision in Bangladesh
(Daffodil International University, 2022-06-28) Faisal-E-ALAM, Md.; Meero, Abdelrhman; Rahman, Abdul Aziz Abdul; Nurul Mohammad Zayed; K. M. Anwarul Islam
Uses of social media are growing throughout the world. In the previous time, various studies have been directed to discover the necessity of motivational factors behind making decision of tourists. From social media attributes, if tourists have positive insight then they will be inspired to revisit the Cox’s Bazar in future. Also, the tourist industries have given significance to improve their service as part of marketing management to remain competitive. This study identifies the social media attributes and examines the impact of decision making towards travelling Cox’s Bazar. In this study, tourists’ perception of Cox’s Bazar is also found. Foreign tourists (from Asian, European, American, Australian, and African) are considered as sample for this study. Convenience Sampling and questionnaire survey that are taken from various literatures of tourism. Reliability Test and Descriptive Statistics are conducted to see the availability and normality of collected data. Then Demographic Analysis, Spearman’s Rho Correlation Test and finally the Kruskal-Wallis Test have been utilized to find out the relationship among variables. This study discovered that noteworthy impact of social media attributes towards tourists’ choice to travel Cox’s Bazar. These findings will also contribute to the government as the civil aviation and tourism ministry needs to formulate suitable policies and practices considering social media in the existing market for attracting both inbound and outbound tourists.
The Mediation Effect of Carbon Accounting in Relation to Carbon Risk Management and Carbon Performance of Malaysian Companies
(Daffodil International University, 2022-02-27) Ong, Tze San; Kasbun, Nur Fatin; Rahman, Abdul Aziz Abdul; Meero, Abdelrhman; Teh, Boon Heng
This paper enhances the knowledge on carbon management among organizations certified by the Malaysian International Organization for Standardization (ISO) 14001. Specifically, the study investigated the impact of carbon risk management on carbon performance through the mediation of carbon accounting. This research adopts a quantitative method with a final sample size of 136 and structural equation modeling (SEM) was employed to analyze the data. The findings suggest that carbon risk management and carbon accounting have a significant positive effect on carbon performance. Notably, carbon accounting exerts a full mediating effect on the relationship between carbon risk management and carbon performance.