Fintech Payment Adoption in Ghana's Informal Retail Sector
A Trust‐Mediated and Regulation‐Moderated Model
Bibliographic Data
| ID | 19477705 |
|---|---|
| Authors | Seidu Musah (0009-0009-1420-9052, School of Management Jiangsu University Zhenjiang Jiangsu China, corresponding author), Emmanuel Baffour Gyau (0000-0001-9500-7720, School of Finance and Economics Jiangsu University Zhenjiang Jiangsu China), Stephen Dokroug Kolog (0009-0004-0483-4800, School of Mathematical Sciences Jiangsu University Zhenjiang Jiangsu China) |
| Year | 2026 |
| Volume | 26 |
| Issue | 3 |
| Publication date | 2026-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Public Affairs (JOURNAL) |
| Journal identifiers | ISSN: 1472-3891 • E-ISSN: 1479-1854 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/pa.70144 |
| OpenAlex | W7164510298 |
| Language | EN |
| References cited | 87 |
This study investigates factors associated with fintech payment adoption among Ghana's informal retailers by integrating the Technology Acceptance Model with the Technology–Organization–Environment framework. Using data from 296 respondents and analyzed with SmartPLS 4, the study examines how perceived economic advantage, technological readiness, and perceived security are associated with fintech payment adoption intention, business growth perception, and actual adoption behavior. Findings show that all three factors significantly predict adoption outcomes, with trust in the fintech system serving as a strong mediator. Additionally, regulatory assurance was found to significantly moderate the relationship between trust and the dependent variables, underscoring the importance of institutional oversight in enhancing adoption behavior. Theoretically, the study advances fintech adoption literature by integrating the Technology Acceptance Model and the Technology–Organization–Environment framework, demonstrating how individual cognitive evaluations interact with institutional safeguards in an informal economy context. The model also accounts for considerable variance in fintech adoption intention and trust, providing practical insights that foster inclusive digital finance within Ghana's informal economy
Financial Security · Financial services · Fintech · Payment · Payment service provider · Survey data collection · Technology Acceptance Model · Economic Growth and Development · FinTech, Crowdfunding, Digital Finance · Technology Adoption and User Behaviour
Metaverse marketing
Technology readiness
Identifying and treating unobserved heterogeneity with Fimix-PLS
Executing and interpreting applications of PLS-SEM
Pls‐sem
Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research
Trust and TAM in Online Shopping
User Acceptance of Information Technology
Consumer Acceptance and Use of Information Technology
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Common Method Bias in PLS-SEM
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
Ghana’s informal economic sector in the face of a pandemic
Forecasting inclusive futures
Understanding user acceptance of QR code mobile payment systems in Turkey
Does mobile money enable women-owned businesses to invest? Firm-level evidence from Sub-Saharan Africa
An empirical examination of initial trust in mobile banking
Designing for financial inclusion in developing countries
Exploring drivers of fintech adoption among elderly consumers
Understanding the process of building institutional trust among digital payment users through national cybersecurity commitment trustworthiness cues
Leveraging digital technologies to boost productivity in the informal sector in Sub-Saharan Africa
Whose money? Digital remittances, mobile money and fintech in Ghana
| Citation velocity | historical |
|---|---|
| Highly cited | No |