Modeling Mobile Banking Adoption in Emerging Economies: Evidence from Bangladesh Using UTAUT2 and Perceived Trust

Mobile banking is expanding rapidly in developing economies, yet adoption remains uneven due to trust, digital skills, and contextual barriers. This study extends UTAUT2 by integrating perceived trust to better explain mobile banking adoption in Bangladesh. Using survey data from 412 users and PLS-SEM analysis, the study finds that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, and habit significantly shape behavioral intention. Perceived trust emerges as the strongest predictor, underscoring its importance in risk-sensitive financial environments. Behavioral intention strongly predicts actual usage, validating the extended model. The study contributes theoretically by contextualizing UTAUT2 within a low-trust developing economy and demonstrating the centrality of trust in technology adoption. Practically, it highlights the need for stronger trust-building mechanisms, user-friendly design, and improved service support to enhance financial inclusion through mobile banking.

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Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-18
DOI
https://doi.org/10.5281/zenodo.18239762
Primary Topic
Technology Adoption and User Behaviour
Type
article
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article

Modeling Mobile Banking Adoption in Emerging Economies: Evidence from Bangladesh Using UTAUT2 and Perceived Trust

Md. Monzur Morshed Bhuiya, Md Asad Noor
Zenodo (CERN European Organization for Nuclear Research)
Technology Adoption and User Behaviour
article

Modeling Mobile Banking Adoption in Emerging Economies: Evidence from Bangladesh Using UTAUT2 and Perceived Trust

Md. Monzur Morshed Bhuiya, Md Asad Noor
article en

Abstract

Mobile banking is expanding rapidly in developing economies, yet adoption remains uneven due to trust, digital skills, and contextual barriers. This study extends UTAUT2 by integrating perceived trust to better explain mobile banking adoption in Bangladesh. Using survey data from 412 users and PLS-SEM analysis, the study finds that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, and habit significantly shape behavioral intention. Perceived trust emerges as the strongest predictor, underscoring its importance in risk-sensitive financial environments. Behavioral intention strongly predicts actual usage, validating the extended model. The study contributes theoretically by contextualizing UTAUT2 within a low-trust developing economy and demonstrating the centrality of trust in technology adoption. Practically, it highlights the need for stronger trust-building mechanisms, user-friendly design, and improved service support to enhance financial inclusion through mobile banking.

Zenodo (CERN European Organization for Nuclear Research)
Green University of Bangladesh (BD)
Reduced inequalities
Openalex Percentile: Top 11%
Technology Adoption and User Behaviour
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