Evidence map›Paper›PMID 39906860›Full record

ArticleHeliyon2025

The interplay of perceived benefit, perceived risk, and trust in Fintech adoption: Insights from Sub-Saharan Africa.

Thomas Appiah, Veronica Venyo Agblewornu

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Thomas AppiahGhana Communication Technology University, Department of Accounting, Banking and Finance, Ghana.
Veronica Venyo AgblewornuGhana Communication Technology University, Department of Computer Science, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As financial technology (Fintech) continues to reshape the design and delivery of financial products, there is a growing interest in investigating the enablers and inhibitors of Fintech adoption in developing markets. This paper aims to empirically examine the risk-benefit factors associated with Fintech adoption. It further explores the mediating effect of trust in the relationship between risk-related factors and Fintech adoption intentions. The paper utilizes the survey approach to gather data across four countries in Sub-Saharan Africa (SSA). We employ partial least squares-structural equation modelling (PLS-SEM) and fuzzy-set qualitative comparative analysis (FSQCA) techniques to analyse our dataset. The study identified economic benefits, performance expectancy, and effort expectancy as important enablers of Fintech adoption. Conversely, perceived legal risk, security risk, and privacy concerns act as significant inhibitors of Fintech adoption. Furthermore, the findings provide support for the mediation model, suggesting that trust dampens the negative effect of perceived risk on Fintech adoption. The FSQCA results confirm the principle of equifinality as there are multiple causal configurations that can lead to high Fintech adoption. The estimated PLS-SEM model exhibits robustness, as there are no issues regarding unobserved heterogeneity, common method bias, or multicollinearity. Furthermore, the model demonstrates reasonable predictive accuracy as evidenced by acceptable R-square, F-square, and Q-square values. Policymakers, financial institutions, and Fintech firms can leverage the study's findings to shape their strategies, raise consumer awareness, and design innovative financial products that cater for the needs of consumers in Africa.

Indexed as

FintechFintech adoptionFSQCAPLS-SEMSub-Saharan Africa

Identifiers

PMID39906860
PMCPMC11791263

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.