Facilitating Condition of Acceptance and Use of Islamic Financial Technology (Islamic Fintech): Technological Forecasting in Saudi Banks

Abstract

This paper aims to facilitating condition on behavioral intention using Islamic financial technology (Islamic Fintech). This paper reviews the most recent literature differences between UTAUT (Unified Theory of Acceptance, and Use of Technology) and UTAUT 2 (Unified Theory of Acceptance, and Use of Technology). Academic degree was one of the contributes to management in this study to bridging the knowledge gap by integrating eight theories of technology acceptance models (TAMs). These theories hold that there are seven models accepted on behavioral intention. Acceptance model's explanatory strength can be demonstrated by the analysis of N = 950 responses from respondents about Islamic Fintech use on the Saudi Stock Exchange (Tadawul) website, which shows that these theories play a moderating role. These theories provide many tests to demonstrate the model's explanatory strength. The results indicated a very high significance for the target variables at a 95% confidence level. There was a significant reduction in the relationship between Effort Expectancy and Behavioral Intention when the average age was considered, which resulted in a 54% and 29.9% increase in the explanatory power of the survey. It was unexpected to find that Language moderates the relationship between Hedonic Motivation and Behavioral Intention by factors of 29.9% and 31.5%, respectively. According to Behavioral Intention and Usage Behaviour must be differentiated, and to achieve technological forecasting goal in Saudi Banks, Islamic Fintech will need to increase R-squared by 57.1%. Meanwhile, Academic Degree provide a facilitating condition between BI and Use Behavior to distinguish between acceptance and use of Islamic Fintech, where the interdependence of social, environmental, and technological factors, all of which was analyzed using partial least squares structural equation modeling.