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Many fintech consumers are hesitant to perform online transactions given the lack of trust in online companies. In response to this reality, we construct and evaluate a trust-theoretic user acceptability model for financial technologies. The research seeks to look at the influence of trust on the intention to use fintech. A sampling of potential users in Pakistan is used to validate the model experimentally. Smart PLS 3 has been used to robust the theorized configuration of constructs (structural equation modeling) based on 275 survey responses. Contrary to other scenarios, the findings indicate that "customer trust in fintech" is more important than other aspects in determining technology adoption. Pakistani consumers' intention is positively affected by trust. Trust facilitators influence consumers' trust; among them, trust propensity is the factor having high values, followed by perceived size, interaction with online customers, perceived benefit, third-party seal, perceived ease of use, and perceived reputation.
Hai-feng et al. (Mon,) studied this question.