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Money laundering is among the most common financial crimes that negatively affect countries' economies and hurt their social and political relations. With the increasing growth of e-banking and the increase in electronic financial transactions, the identification of money laundering methods and behaviors has become more complex; because money launderers, by accessing the Internet and using new technologies, find new ways to legalize their illegal income. Although many efforts have been made to identify suspected cases of money laundering and fight against this financial crime, little success has been achieved in this regard, especially in developing countries. Hence, this study tries to identify the risk factors involved in money laundering in banking transactions. To this end, multiple attribute decision-making methods, such as the Shannon entropy method, hierarchical analysis, and two-level fuzzy hierarchical analysis, have been used to assess and score the risk of various transactions in money laundering. The results indicated that the highest risk of money laundering was in the POS transactions.

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This study examined organized crime, and corruption, and determined if they can affect growth in the regional integration known as the Economic Community of West African States (ECOWAS). Organized crime and corruption can have a grossly negative impact on the economic growth process of every system, but the extent of damage they have needs to be measured to determine the policy implications for the region. Paired with a sizeable and well-connected diaspora community, traffickers have established themselves in most parts of the world and provide networks farther afield. Organized criminal groups infiltrate governments, businesses, and political and economic systems. They undermine the effectiveness of these systems, sometimes through corruption and violence. Enough effort must be given to understanding the impact of organized crime on governance in West Africa. The research is a panel study of 11 countries in the ECOWAS region. A number of corruption, organized crimes and, growth theories were reviewed in the process. The study employs the random-effects model with the pooled OLS to control (FGLS) known also as the random-effects model with the pooled OLS as a control on the defined objectives. Results show among others that organized crime and corruption have a significant impact on economic growth, whereas, corruption significantly reduces economic growth. The study concludes that organized crime has significantly impacted economic development. Part of the policy implications and recommendations is that Domestic investment significantly contributes to economic growth and should be greatly encouraged as it increases production, and job creation and reduces dependency ratio and poverty.