Does users’ perception matter in continuous intention to use Fintech technology and services in Kenya?
Description
Data collection Data was collected in Nairobi county, Kasarani constituency from May 1st, 2019 to 1st June 2019. The main target group in the study were entrepreneurs who owned shops and market stalls. However, clients who were present at the shops or stalls during the interviews, were also given a chance to participate in the study. It is believed that persons with businesses would seize the opportunity to utilise the soft loans offered the various Fintech service providers in Kenya to expand their businesses. Equally, the age participation in the current study was 18 years and over. A total of 351 questionnaires were collected with the help of two research assistants who were standing by to answer any queries from the participants and thus there were no incomplete questionnaires. Nevertheless, 9 questionnaires were excluded from the study because they had unengaged responses. The final usable questionnaires were 342. Methodology The Extended Post-Acceptance model by Lim, Kim, Hur, and Park (2018) was tested using the data. Confirmatory factor analysis was performed using AMOS version 24. A 10,000 replication bootstraps was performed as one way of validating the multivariate model used in the current study. Equally, the bias -corrected confidence intervals was set at 95% confidence level. Results The finding on users’ knowledge of the services has a significant positive effect on perceived security (β =0.808, p <0.001) of short-term credit services offered by Fintech’s in Nairobi, supporting hypothesis H1. Perceived security has a significant and positive effect on confirmation (β =0.734, p <0.001) and perceived usefulness (β =0.852, p <0.001) of short-term credit services offered by Fintech’s thus supporting hypotheses H2a and H2b. Confirmation has no significant effect on perceived usefulness ((β =0.031, p = 0.786) thus rejecting hypothesis H3a. However, confirmation has a significant positive effect on satisfaction (β =0.533, p = 0.001), supporting hypothesis H3b. Perceived usefulness has a significant positive effect on satisfaction (β =0.332, p = 0.004), supporting hypothesis H4a. However, perceived usefulness has no significant effect on continuous intention to use Fintech services (β =0.003, p = 0.991), thus rejecting hypothesis H4b. User’s satisfaction has a positive effect on continuous intention to use Fintech services (β =0.593, p = 0.003). All the confidence levels where at 95%. Conclusion The study revealed that Kenyans will continue to use Fintech technologies and its credit services if they remain useful, secure, satisfactory and offer high expectation upon usage. Reference Lim, S. H., Kim, D. J., Hur, Y., & Park, K. (2018). An Empirical Study of the Impacts of Perceived Security and Knowledge on Continuous Intention to Use Mobile Fintech Payment Services. International Journal of Human–Computer Interaction, 1-13.