Although the financial system is very important to economic development of a country, many Kenyans lack access to formal financial services. This is because putting up bank branches in the remote areas of the country is not economically viable. To help alleviate this problem, majority of banks in Kenya have now implemented Mobile banking (M-banking) technology in order to provide convenient and affordable banking services. However, this effort may not bring much result if the factors affecting adoption of M-banking technology have not been established. This book therefore focused on determining the effect of important factors affecting adoption of M-banking technology in Kenya by extending the renowned framework of Technology Acceptance Model (TAM). More specifically, the book has examined the relationships between constructs of perceived usefulness (PU), perceived ease of use (PEOU) and perceived risk (PR) towards adoption of M-banking technology. The knowledge of these factors enables all the players in the banking industry, including the banks, telecommunications service providers, policy makers and bank customers to make informed decisions.