Abstract
Artificial intelligence (AI) is revolutionising the financial industry; however, consumer perceptions towards AI in financial services remain relatively limited. The purpose of this study is to investigate variations in behavioural intention towards AI-driven financial services across demographic factors (gender, marital status, age, education level, and income) in Saudi Arabia. A questionnaire was distributed, and 296 complete responses were collected. The survey contained four items to measure behavioural intention. The data were analysed using independent t-tests, one-way analysis of variance with Tukey’s honest significant difference post hoc tests. The findings indicate that behavioural intention is significantly different across the five tested demographic variables: gender, marital status, age, education level, and income level. The results also suggest that females and unmarried individuals have a greater propensity to engage with AI-driven financial services than their counterparts. Moreover, the multiple comparison analysis reveals that individuals within the 21-30 age range and those with lower income levels exhibit a significantly greater intention to use these services. Conversely, individuals possessing postgraduate degrees or higher demonstrate a lower intention to utilise AI-driven financial services compared to those with lower educational qualifications. This research contributes to our understanding of the effects of demographic factors on the adoption of AI-driven financial services by consumers, a topic that has received limited attention in the literature. Moreover, the current study provides practical insights for financial institutions to utilise demographic analysis in tailoring their AI-driven services and marketing strategies, thereby enhancing consumer adoption and helping them stay ahead of the curve in terms of financial technology advancements.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have