What motivates individuals to use FinTech budgeting applications? Evidence from India during the covid-19 pandemic
Basri Savitha and
Iqbal Thonse Hawaldar
Cogent Economics & Finance, 2022, vol. 10, issue 1, 2127482
Abstract:
The purpose of the present study was to explicate the factors determining customers’ intention to use budgeting apps since the outbreak of COVID-19 pandemic. A cross-sectional survey in South India was conducted to collect data from 285 FinTech users. The data were analyzed using partial least square regression to estimate path coefficients and the PROCESS macro technique to identify moderation effects. Firstly, app engagement and self-efficacy were found to have a positive effect on the intention to use budgeting apps. Secondly, individuals who use FinTech services less frequently and those who use it to pay for a variety of expenses were found to have a greater effect on usage intentions of customer engagement, perceived trust, and perceived ease of use. Therefore, customization, real-time suggestions, providing tools for data visualization, smart data insights, and artificial intelligence-based recommendations and advice would assist customers in prudence money management.
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/23322039.2022.2127482 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:oaefxx:v:10:y:2022:i:1:p:2127482
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/OAEF20
DOI: 10.1080/23322039.2022.2127482
Access Statistics for this article
Cogent Economics & Finance is currently edited by Steve Cook, Caroline Elliott, David McMillan, Duncan Watson and Xibin Zhang
More articles in Cogent Economics & Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().