Advanced Technological Factors Affecting Digital Banking Usage Intention

Abstract

This research-based chapter investigates impact of various innovation technology factors on digital banking customers' usage intention. The selected factors are online banking, mobile payment, artificial intelligence-based robot advisors, and cloud-based services. The study develops conceptual model against theoretical background of the innovation diffusion theory, technology acceptance model, and unified theory of acceptance and use of technology. Empirical data was collected through online survey using a self-administered questionnaire. Quantitative research method was employed with a total sample size of 302 respondents using snowball sampling technique. Normality and reliability tests were performed followed by confirmatory factory analysis, validity assessment, and structural equation modelling using AMOS 24. The findings confirm positive significant impact of artificial intelligence-based robot advisor and cloud-based services on usage intention. Theoretical contribution and managerial implications are then discussed along with limitations of the current study and future research avenues.