M-Banking: The Transaction Revolution in Bangladesh

Hasan, Md. Tareq

doi:10.11648/j.sr.20200804.12

Cited by 7 publications

(2 citation statements)

References 2 publications

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“…The previous studies also found that most of the users are dissatisfied with the high transaction charges of MFS (Hasan, 2020;Sarpong & Agbeko, 2020). In contrast, Alam et al (2013) found that most of the users believe mobile banking has a lower cost compared to traditional banking.…”

Section: Users' Experiences Of Perceived Costmentioning

confidence: 96%

Users’ Experiences of Mobile Financial Services at Rural Areas of Bangladesh

Rahman

2021

Shirkah

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Mobile Financial Services (MFS) is one of the new innovations of the modern financial system. It nowadays plays a crucial role in banking users’ day-to-day financial activities. This study investigates users’ experiences of MFS at rural areas of Bangladesh. Specifically, this study sought to gain an understanding of to what extent different factors positively or negatively influence users’ experience in using mobile financial services. This study was mainly a survey research. The data were obtained using a questionnaire from a total of 128 MFS users (102 male and 26 female) living in rural areas of Bangladesh who were conveniently chosen from five Upazilla in Barishal city. The findings suggested that MFS users in rural areas of Bangladesh have both positive and negative experiences toward the use of mobile financial services. This study further revealed six major factors that have influenced the users’ positive and negative experiences in general, i.e. perceived usefulness, perceived ease of use, perceived risk, trust, customer and MFS agent relationship, and perceived cost. It was found that the last factor (perceived cost) have generated the users’ negative experiences toward mobile financial services. Therefore, the government and MFS providers are encouraged to work together with some innovative strategies to change the users’ negative experiences into positive experiences of using the mobile financial services.

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Section: Users' Experiences Of Perceived Costmentioning

confidence: 96%

Users’ Experiences of Mobile Financial Services at Rural Areas of Bangladesh

Rahman

2021

Shirkah

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“…Bangladesh is a small country with six different mobile operators (Grameen phone, Robi, Teletalk, Airtel, Citycell, and Banglalink) [6] with a huge number of subscribers. According to the BTRC (Bangladesh Telecommunication Regulatory Commission) report in 2020, 10M [7] messages are delivered daily. There are various methods of defrauding individuals through misleading messages, such as by presenting unexpected offers.…”

Section: Introductionmentioning

confidence: 99%

Be Aware of Your Text Messages: Fraud Attempts Identification Based on Semantic Sequential Learning for Financial Transactions through Mobile Services in Bangladesh

Khushbu,

Jaigirdar,

Anwar

et al. 2024

Preprint

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The growth of mobile financial services over the last decade is well accepted by the people of Bangladesh. However, although reported here and there, a complete understanding of illegal payments and fraudulent transactions is still missing. This paper studies one of the popular and experienced financial transaction services of Bangladesh, Bkash, to identify fraudulent text messages through the service. We propose an improved classification method for fraudulent messages through feature extraction and a hybrid deep learning (DL) approach with ML, which combines a convolutional neural network with sequential learning, referred to as the customized Bkash fraud semantic sequential learning (CBF-SSL) model. Seven machine-learning classifiers and five deep-learning sequential models are experimentally evaluated within the hybrid classifier. The performance of the fraud detection system is assessed using the loss function and confusion matrix on a dataset of 500 Bengali text messages. The performance evaluation demonstrates that the hybrid model of convolution neural network (CNN) using long short-term memory (LSTM) outperforms all other classifiers with the lowest error 1 rate of 0.2532%, the highest F1-measure of 75.00% with the highest test accuracy. The proposed text features in combination with CNN and LSTM prove to be highly effective in detecting fraudulent messages.

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Mobile Banking and Access to Public Services in Bangladesh

Hassan,

Ferdous,

Banna

2024

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This Element examines the role of mobile banking in accessing public services in Bangladesh. It also identifies the key influencing factors and challenges in accessing public services through mobile banking and suggests policy measures to overcome these challenges. Based on a survey of 300 people, the study finds that mobile banking facilitates access to public services, which is beneficial and effective for both rural and urban users, as technology can increase the quality of work. Despite the benefits, some individuals are reluctant to use the service due to high transaction costs and a lack of digital literacy.

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M-Banking: The Transaction Revolution in Bangladesh

Cited by 7 publications

References 2 publications

Users’ Experiences of Mobile Financial Services at Rural Areas of Bangladesh

Users’ Experiences of Mobile Financial Services at Rural Areas of Bangladesh

Be Aware of Your Text Messages: Fraud Attempts Identification Based on Semantic Sequential Learning for Financial Transactions through Mobile Services in Bangladesh

Mobile Banking and Access to Public Services in Bangladesh

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