Predicting the intention to use Paytech services by Islamic banking users

Purpose – This study aims to identify the factors that could explain the intention to use Paytech services
within an Islamic banking context. The authors use an extended version of the technology acceptance model
to develop a causal–predictive analysis.
Design/methodology/approach – The research model and hypotheses were tested by applying partial
least square-structured equation modeling to data collected from 214 users of Islamic banking in Saudi Arabia.
Findings – The results show that perceived trust has a highly significant direct effect on the intention to use
Islamic Paytech services, whereas perceived risk has a significant indirect effect on IU.
Research limitations/implications – Internet banking behavior may not be static. In technology
acceptance, during the various phases from introduction to the maturity phase, the respondent’s perceptions
tend to change
Practical implications – From the point of view of Fintech services providers, the knowledge of the factors
fostering the adoption of Fintech services would allow an international expansion without the inconvenience of
establishing offices or companies in countries whose legislation does not favor the operations carried out by
Islamic banks.
Social implications – These digital payment services would allow access to financial services to the entire
Muslim population regardless of their location (Islamic and non-Islamic nations) and will also reach out to the
next generation of young Muslims as a majority are “digital natives” ready for digital Islamic financial solutions.