The unstructured retail market in India faces a significant difficulty in the process of moving to digital payment systems. The proposed investigation analyses influences on FinTech adoption by unorganised retailers in Karnataka using an extended Technology Acceptance Model. The model incorporates the perceived ease of use and perceived usefulness, along with the contextual factors, namely, financial literacy and governmental support. The set of data was collected on the 200 retailers in six different districts using the stratified cluster sampling approach. The regression analysis shows that the most powerful predictor of adoption intention is governmental support. Further, the perceived ease of use, perceived usefulness and financial literacy have a great impact on the choice to adopt the technology.
Download
Download XML