Table 1 Demographic profile of participants (n=302)
Related Figures (9)
Table 2: Measurement Model 4.2.2 Discriminant Validity Table 4: Cross-Loadings Table 5 shows the results of discriminant validity assessed using Heterotrait-Monotrait (HTMT) ratio o! correlation criterion. With reference to the obtained values, all the values meet the criterion of HTMT.9 (Palacios, Kaspereit, & Kienle, 2011) indicating that discriminant validity was confirmed. 4.2.5 Assess Path Coefficient Table 6 shows the variance inflation factor (VIF) value of all constructs in the model. The results indicate that all the constructs' VIF is less than 3, indicating that there is no collinearity problem in the structural model. Bootstrapping procedure of 5000 subsamples was used to examine the path coefficient. The result shows that the R2 of the structural model is 0.295. The variance of about 30% of intention to use FinTech can be explained by other exogenous variables such as financial risk, legal risk, security risk and operational risk. However, an evaluation of the effect size of the predictor using Cohen's f2 (Cohen, 1988) showed that all the effect size of all predictors was small (f2 less than 0.02). Lastly, the Blindfolding procedure was used to evaluate the predictive relevance (Q2), and the result Q2 0.143 was greater than 0, indicating that exogenous constructs had predictive relevance with endogenous constructs. Table 7 summarises the hypothesis testing results, indicates that financial risk (H1), legal risk (H2) and operational risk (H4) have a significantly negative effect on FinTech usage. Meanwhile, security risk found insignificant in the relationship. The above findings explain the risk factors in applying modern IT technologies that change the preconditions for managerial and accounting, modify the ways of sharing, aggregation and distribution of information, leading to the emergence of a new accounting infrastructure. Changes in the IT sector can significantly modify the postulates and categories of an accounting system. Although, the application of innovative advances in the field of IT in accounting provides the opportunity to process large arrays of information in the shortest possible time., the risk factors need to be understood as well.
