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  • Author: Sharmin Akter Eva x
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The purpose of this research paper is to study the present status of e-commerce industry in Bangladesh and finding out comprehensive model based solution for the expansion of the sector spreading e-commerce all over the country. SWOT analysis has been conducted and business expansion model has been developed from the data generated from surveying to the reputed e-commerce business organizations and customers of e-commerce. Primary data has been collected from the top level management of e-commerce business organizations and e-commerce customers as interviewees while secondary data have been collected from Bangladesh Telecommunication Regulatory Commission reports, relevant literature etc. This study identifies that e-commerce intermediation and channel conflict are the great problems in case of e-commerce business expansion that increases the price level of the products and services but can not reach mass people outside the mega cities as Dhaka. That is why a value chain based business expansion model has been proposed to reach the mass people of Bangladesh for inclusive e-commerce through e-commerce agent. The study will provide insights to the policy makers to work with e-commerce business expansion in the process of digitization of Bangladesh.


The purpose of the study is to identify the main reasons of money laundering in Bangladesh among the twenty seven predicate offences of money laundering prescribed by Bangladesh Bank and position of Bangladesh among South Asian Countries regarding anti-money laundering practices. Besides, an anti-money laundering model has been developed to combat against money laundering as 14 percent bankers think that only existing know your customer form and transaction profile of banking sector are not enough to detect money laundering. To conduct the study, 91 bankers have been surveyed to take response through structured questionnaire regarding their opinion about the predicate offences of money laundering and sufficiency of existing KYC form of banking sector to detect money laundering. From the responses, factor analysis, test of hypothesis, correlation and regression analysis have been conducted using SPSS software. The study identifies that predicate offences of money laundering can be minimized mainly through scrutinizing the activities of local criminals with foreign network and strict anti-corruption measures through automation in National Board of Revenue, strict policy adoption of criminal detection and support from foreign experts. Besides, regression model shows that only six predicate offences of money laundering explains 87.2 percent of money laundering that should get more emphasize to combat against money laundering. From the comparative analysis, it has been found that Bangladesh in holding better position just after India among six South Asian Countries according to Basel AML Index score. This study provides a complete understanding of the position of Bangladesh in case of money laundering and anti-money laundering practices. The integration of four domains, i.e. AML model development, factor analysis, econometric analysis and comparative analysis of AML index will provide insights to managers and policy makers about the money laundering scenario in Bangladesh.