FinTech Loan Continuance Intention: How Far Can Self-Efficacies Go?

Samuel Danilola, Adewumi Odeniran () and Adewumi Otonne
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Samuel Danilola: Lagos Business School, Pan-Atlantic University
Adewumi Odeniran: Lagos Business School, Pan-Atlantic University
Adewumi Otonne: Lagos Business School, Pan-Atlantic University

A chapter in State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM), 2023, pp 491-514 from Springer

Abstract: Abstract The survival of financial technology (FinTech) firms that offer loan services depends on their ability to acquire and retain customers. However, no studies have measured the factors determining the reuse intention of FinTech loan platform users, especially by integrating self-efficacy theory in an expectation confirmation model. With the data collected via a survey of 129 FinTech loan borrowers on a seven-point Likert scale, this chapter uses the partial least squares structural equation modeling (PLS-SEM) to compare and choose the research model with the best predictive power. The results reveal that financial self-efficacy has an indirect positive effect through confirmation of perceived usefulness. It also validates the positive effect of perceived usefulness and confirmation of satisfaction. Finally, perceived usefulness and satisfaction are positively related to FinTech use continuance intention. This empirical research contributes to a novel understanding of users’ FinTech reuse intention. It shows that financial self-efficacy is the only domain-specific self-efficacy affecting FinTech loan continuance intention.

Keywords: FinTech; Self-efficacy; Continuance intention; PLSpredict; Personal loans (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-34589-0_37

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DOI: 10.1007/978-3-031-34589-0_37

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