The rapid expansion of financial technology in transitional suburban areas requires a comprehensive understanding of user retention factors beyond basic adoption metrics. Anchored in the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), this study investigates the structural determinants of mobile payment continuance intention among residents in Bogor (City and Regency). Utilizing a quantitative design, primary data were collected through online and offline questionnaires targeting 400 active mobile payment users aged 18–55 years, selected via non-probability purposive sampling. The measurement instrument incorporated 5-point Likert scales with reverse-worded items, and the structural model was evaluated using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS 4 with 5,000 bootstrapping resamples. The empirical findings reveal that Financial Skills exert a direct positive effect on both Continuance Intention and Perceived Usefulness. In contrast, Digital Literacy fails to directly influence Continuance Intention, operating strictly through a full mediation mechanism via Perceived Ease of Use. Furthermore, both Perceived Usefulness and Perceived Ease of Use significantly drive continuance intention, with Perceived Usefulness identified as the dominant cognitive vector shaping long-term retention. These results indicate that while technical digital proficiency reduces operational friction, financial competence and recognized utilitarian value are the primary catalysts for fintech retention in transitional markets. Strategic implications suggest that fintech providers and local authorities should prioritize user-interface simplification and practical financial management utilities to foster sustainable digital payment ecosystems.
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Saputri et al. (2026) studied this question.
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