Gender differences in FinTech adoption: What do we know, and what do we need to know?

• Published in: Journal of modelling in management Vol. 19; no. 4; pp. 1215 - 1236
• Main Authors: Rani, Vinki, Kumar, Jitender
• Format: Journal Article
• Language: English
• Published: Bradford Emerald Publishing Limited 23.05.2024; Emerald Group Publishing Limited
• Subjects: Attitudes; Bank technology; Gender differences; Technology adoption; India; Behavioural intention; Gender; FinTech adoption; PLS-SEM; India
• ISSN: 1746-5664; 1746-5664; 1746-5672
• DOI: 10.1108/JM2-06-2023-0121

Purpose This study aims to identify the determinants of adopting financial technology (FinTech) in Haryana (India). Further, the authors also compare the behavioural intention among male and female respondents to deliver a comprehensive understanding of the adoption of FinTech. Design/methodology/approach The current study contains two cross-sectional surveys about males and females. Study M is completed with (333) males, and Study F is conducted on (317) female users towards FinTech adoption. This study used “Partial least squares-structural equation modelling (PLS-SEM)” for data analysis. Findings The outcomes indicate that in both (Studies M and F), perceived usefulness and perceived ease of use substantially impact attitude and behavioural intention. Moreover, the results show that perceived value significantly influences, while perceived risks insignificantly influence behavioural intention. Surprisingly, relative advantage (in Study M) and trialability (in Study F) has insignificant impact on behavioural intention. Further, the outcomes also confirm that in both studies (M and F), attitude and behavioural intention substantially influence the actual use of FinTech. Originality/value To the best of the authors’ knowledge, this is the preliminary research on FinTech to inspect the role of gender in the technology adoption process. The adoption difference between males and females and the insightful result that the authors found help shed light on the uniqueness of the context. This study is also one of the initial to test three credible technology determinant theories and then offer a robust model for the actual use of FinTech that is to be used by both practitioners and researchers.