Ketinimą investuoti per tarpusavio skolinimo platformas lemiančių veiksnių vertinimas
Assessment of the Factors Affecting the Intention to Invest in a P2P Lending Platform

Summary/Abstract: The digitalisation of the financial system and the rapid growth of new financial technologies are contributing not only to the change of the financial system, but also to the change of the way people make financial decisions. The development of financial technologies has led to the emergence of new financial services and products, such as P2P lending. With the growth P2P lending market, the scientific literature pays more and more attention to the analysis of investment intentions through P2P lending platforms and the assessment of the factors affecting the intention to invest (Dja’akum, 2019; Fiorentino et al., 2020; Khan et al., 2021Yang ir Lee, 2016; Poeteri, et al., 2021). It should be noted that, although the interest of researchers in this field is growing, the research in the European context is not sufficient, which reveals the relevance of this study. Thus, the aim of the present study is to assess the factors that affect the intention to invest through P2P lending platforms in Lithuania. A theoretical review of the scientific literature revealed that previous empirical studies have categorised the factors of the intention to invest through peer-to-peer lending platforms into individual and platform factors. Individual factors are understood as risk appetite, perceived risk, financial literacy, while platform factors are understood as perceived ease of use, perceived usefulness, trust. Attitude toward behaviour can be seen as both an individual and a platform factor. Other factors, such as relative advantage, compatibility, complexity, perceived behaviour control are also distinguished in the scientific literature, but are not considered in the analysis of the intention to invest through peer-to-peer lending platforms. Research data was collected through an online survey. The survey questionnaire was distributed online between February and April 2022. The survey sample consisted of 211 respondents. The conceptual research model was developed using a Modified Technological Acceptance (TAM) model, which was performed using the Structural Equation Modelling (SEM) method. The SEM analysis revealed that the intention to invest through P2P lending platforms was indirectly influenced by the trust of the P2P lending platform, perceived risk and risk appetite factors. The indirect impact was through attitude toward P2P lending platforms factor, which had a strong and significant positive impact on the intention to invest through P2P lending platforms. The effect of perceived usefulness and perceived ease of use on Lithuanian investors‘ attitudes towards P2P lending platforms was not statistically significant, and therefore no statistically significant effect of these factors on the intention to invest through P2P lending platforms was found.

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