[PDF] Understanding of Peer-to-Peer Lending Platform Intention: Evidence among Millennials | Semantic Scholar (2024)

Estimating partial least square-structural equation modeling (PLS-SEM) reveals that P1P platform ease of use, P2P platform usefulness and reciprocity are the crucial determinants influencing the intention to use online P2p financing platforms.

The empirical results from the quantitative analysis suggest that security, perceived usefulness as well as perceived ease of use are significant factors that contribute to consumers’ intention to utilise a single platform payment system.

Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) is used to analyze key factors that affect the usage of P2P Lending with addition of trust and risk and found that effort expectancy, social influence, facilitating condition, trust, and risk have positive effects on lenders intention to use the P2Ps.

The results revealed that perceived usefulness, perceived ease of use, service trust and social influence have positive and significant impact on users’ attitude towards Fintech service with path weights of 0.55, 0.27 and 0.41 at 1% level of significance.

Trust and user innovativeness factors have apositive effect on attitude towards using P2P lending applications and attitude towards use has a positive effect on behavioral intention to use P2C lending applications, while perceived ease of use, perceived usefulness, and government support do not have a positive impact on attitudes towards utilizing P2p lending applications.

This study reveals the core subject areas that influence a lender’s emotions and trusts and provides a theoretical basis and empirical reference for relevant platforms to improve their operational level while enhancing competitiveness.

The behavioral intention to use m-learning from the perspective of consumers was explored by applying the extended unified theory of acceptance and use of technology (UTAUT) model with the addition of perceived enjoyment, mobile self-efficacy, satisfaction, trust, and perceived risk moderators.

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