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Purpose: Increased penetration of mobile phones has built great opportunities for increasing the level of financial inclusion around the world. Digital channels help banks in not only attracting new customers but also in ensuring that the existing ones remain loyal. This chapter studies the incentives to encourage the use of mobile banking by smartphone and tablet users.

Design/methodology/approach: An online survey is conducted to explore possible relations between the potential determinants of the intention to use mobile banking. The model is assessed with Partial Least Squares Structural Equation Modelling (PLS-SEM) technique.

Findings: The results show that perceived usefulness and perceived efforts tend to be the most significant factors in the adoption of mobile banking. However, such factors as perceived risks, compatibility with lifestyle and social influence are found to be insignificant due to some cultural and institutional features attributed to CIS countries.

Originality/value: This chapter contributes to the field of m-banking studies by focusing on both smartphone and tablet users. At least, the majority of respondents represent Y and Z generations who seem to move from traditional banking to digital channels.

The main purpose of this study is to develop and improve a framework utilising network externality and monetary factors in order to provide a theoretical framework for the motivation behind customers’ acceptance of self-driving cars from companies that would service self-driving cars. The survey was conducted after a concept of level 5 of self-driving cars by NHTSA (2016) was explained to respondents. This study examined the impact of network externalities and monetary issues on perceived benefit and sacrifice, including perceived value, trust and intention to use. The results indicated that indirect network externalities have a stronger effect than direct network externalities on the perceived benefit and intention to use. This study also revealed that concerns for safety and privacy were the main barriers to intention to use. Furthermore, the trust and value are considered important factors by consumers who choose self-driving cars; thus, self-driving car makers should consider how to increase these points. This study may offer a comprehensive model for the acceptance of self-driving cars and is expected to help expand and advance the Value-based Adoption Model. This study also provides practical implications for marketing related to customers’ technology acceptance.