Abstract
The goal of this study is to combine the Technology Acceptance Model (TAM) with the theory of perceived risk to create a hypothetical model for consumer behavioral intention that will be validated using data from Saudi Arabia's intended credit card usage. 217 bank customers were polled via an online survey conducted across the country. Exploratory and confirmatory factor analyses were used to evaluate the factor structure of the measuring items, while structural equation modeling was being used to validate the recommended model and test the assumptions. Social influence (SI), perceived usefulness (PU), perceived ease of use (PEU), and perceived trust (PT) were all significant predictors of perceived risk (PR) and perceived security (PS) to affect consumer intention to use a credit card (IUCC), according to the results of structural equation modeling (SEM). This research might have assisted banks in establishing new customer acquisition tactics and determining how to deploy resources to retain and grow their existing customer base. As a consequence, this study adds to the body of information on consumer behavior by verifying the effects of PR and PS on credit card intention, which most prior studies have not shown. The study also delivers genuine data about Saudi Arabia's e-banking services, particularly in the credit card sector, to an academic research platform.