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Consumer Trust and Adoption of Digital Payment Systems in Emerging Markets Cover

Consumer Trust and Adoption of Digital Payment Systems in Emerging Markets

Open Access
|May 2026

Abstract

Background

Digital payment systems have already become the key to transforming financial services in emerging markets, but their usage remains highly dependent on user trust, perceptions of usefulness and convenience, and the availability of favourable conditions.

Objectives

This research sought to investigate how consumer trust and adoption of digital payment platforms depend on variables, drawing on the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and a multidimensional trust theory.

Methods/Approach

A quantitative survey of 500 respondents across four emerging-market regions was conducted. The relationship among performance expectancy, effort expectancy, social influence, facilitating conditions, and the three trust dimensions was analysed using structural equation modelling (SEM).

Results

Performance expectancy, facilitating conditions, and trust-related constructs were strong predictors of behavioural intention to use digital payments, and actual system utilisation was strongly predicted by behavioural intention. Trust was identified as mediating the users’ technological perceptions and their intentions to adopt. Qualitative implications revealed issues of security, data privacy, and infrastructural inconsistency that continued to influence user reluctance and perceptions of risk.

Conclusions

The results highlight the roles of trust-building mechanisms, effective user support systems, and regulatory assurance in promoting digital financial inclusion in emerging markets.

DOI: https://doi.org/10.2478/bsrj-2026-0001 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
Language: English
Page range: 1 - 17
Submitted on: Oct 5, 2025
Accepted on: Nov 24, 2025
Published on: May 10, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2026 Adelina Emini, Hrvoje Budić, Hrvoje Volarević, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution 4.0 License.