Digital banking through a gender lens: examining trust and perceptions of Neobanks

Purpose – the aim of study is to examine how interface design elements (usability, presentation, navigation) influence trust, behavioural intention, and adoption of Neobanks among younger users, using data from students at the University of Debrecen, Hungary. Research methodology – a modified Technology Acceptance Model (mTAM) was tested via Partial Least Squares Structural Equation Modelling (PLS-SEM) using primary survey data (n = 159, valid respondents under 25 years old) and quasi-exploratory analysis from Neobank users. Findings – perceived ease of usage significantly mediates the relationship between interface quality and behavioural intention. Trust significantly impacts attitudes and intentions toward fintech, with stronger effects observed among female users. These insights advance cognitive trust theory in digital banking contexts. Research limitations – limited sample diversity and local scope at the University of Debrecen constrain generalizability. The PLS-SEM method focuses on prediction over theory testing may oversimplify complex trust dynamics. Future studies should employ mixed methods and cross-cultural samples for broader relevance. Practical implications – Neobanks can enhance adoption by prioritizing intuitive interface design and tailoring trust-building strategies to gender-specific user preferences. Originality/Value – this research integrates gender differences into mTAM and offers novel insights into trust formation for digital banking among younger European university students, A departure from prior studies is focused solely on technical features.

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Publication Details

Journal
Business Management and Economics Engineering
Published
2026-02-12
DOI
https://doi.org/10.3846/bmee.2026.24000
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00

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article

Digital banking through a gender lens: examining trust and perceptions of Neobanks

Jolita Vveinhardt, Domícián Máté, Bashir Alnouri
Business Management and Economics Engineering
Technology Adoption and User Behaviour
article

Digital banking through a gender lens: examining trust and perceptions of Neobanks

Jolita Vveinhardt, Domícián Máté, Bashir Alnouri
article en

Abstract

Purpose – the aim of study is to examine how interface design elements (usability, presentation, navigation) influence trust, behavioural intention, and adoption of Neobanks among younger users, using data from students at the University of Debrecen, Hungary. Research methodology – a modified Technology Acceptance Model (mTAM) was tested via Partial Least Squares Structural Equation Modelling (PLS-SEM) using primary survey data (n = 159, valid respondents under 25 years old) and quasi-exploratory analysis from Neobank users. Findings – perceived ease of usage significantly mediates the relationship between interface quality and behavioural intention. Trust significantly impacts attitudes and intentions toward fintech, with stronger effects observed among female users. These insights advance cognitive trust theory in digital banking contexts. Research limitations – limited sample diversity and local scope at the University of Debrecen constrain generalizability. The PLS-SEM method focuses on prediction over theory testing may oversimplify complex trust dynamics. Future studies should employ mixed methods and cross-cultural samples for broader relevance. Practical implications – Neobanks can enhance adoption by prioritizing intuitive interface design and tailoring trust-building strategies to gender-specific user preferences. Originality/Value – this research integrates gender differences into mTAM and offers novel insights into trust formation for digital banking among younger European university students, A departure from prior studies is focused solely on technical features.

Business Management and Economics EngineeringVol. 24(1)
University of Debrecen (HU), Vytautas Magnus University (LT)
Debreceni Egyetem
Gender equality
Openalex Percentile: Top 60%
Technology Adoption and User Behaviour
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