Purpose This study empirically tests the effects of effort expectancy (EE), performance expectancy (PE), social influence (SI), facilitating conditions (FC), attitude, subjective norm (SN), perceived behavioral control (PBC), and lifestyle of hedonic consumption (LOHC) on behavioral intention to use FinTech lending (BIUFL) and actual usage of FinTech lending (AUFL). Design/methodology/approach This study utilized convenience sampling to select 350 university students from Indonesia. Data were collected using an online questionnaire. Data were analyzed using variance-based structural equation modeling with WarpPLS. Findings Our study found that PE, attitude, PBC, and LOHC were essential factors in BIUFL. We report that the EE, SI, FC, and SN do not affect BIUFL. Finally, BIUFL was found to positively influence AUFL. Practical implications Regulators enhance supervision by issuing regulations that set strict requirements for Gen Z to access FinTech lending, particularly regarding prospective customers' ability to repay credit, and add parental consent as an additional requirement for Gen Z. Originality/value We employ a holistic research model that combines the unified theory of acceptance and use of technology (UTAUT), theory of planned behavior (TPB), and LOHC to explain students' BIUFL.
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Mukhibad et al. (2026) studied this question.
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