Using random forest estimation, we identify 14 key predictors out of 190 variables with the largest predictive power for MSMR adoption and usage of digital payments. Using conditional inference trees, we study the importance of sequencing and interactions of various factors such as public sector initiatives, technological advancements, and private...
The adoption of electronic payments and their frequent use is thought of as a first step for broader financial use for traditionally unbanked individuals and merchants. The purpose of this report is to analyze the design, implementation, and efficacy of many incentives implemented by different types of stakeholders around the...
Chakravorti and Kobor provide a framework to study the creation and adoption of innovations by payment providers and processors. The authors identify several motivating factors for banks and nonbanks to invest in payment innovations. In addition, they discuss the evolutionary process of payment innovations from inception to commoditization and recognize...