Evidence map›Paper›PMID 42707322›Full record

ArticleFrontiers in psychology2026

The cognitive and affective pathways of FinTech adoption: a trait-to-state-to-intention mechanism.

Ling Li, Cong Zhao

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ling LiSchool of Economics and Management, Shangqiu Institute of Technology, Shangqiu, China.
Cong ZhaoSchool of Economics and Management, Shangqiu Institute of Technology, Shangqiu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study investigates how consumers' technology readiness traits shape key psychological drivers-trust, perceived usefulness (PU), and perceived ease of use (PEOU)-and how these factors jointly determine FinTech adoption intention. Methods: Survey data from 336 Chinese consumers were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test an integrated Technology Acceptance Model (TAM), trust, and technology readiness framework. Results: The results reveal that PU and PEOU significantly predict adoption intention, with PEOU also exerting an indirect effect via PU. Trust acts as a foundational enabler, directly increasing adoption intention while simultaneously enhancing both PU and PEOU. Crucially, the dimensions of technology readiness operate through distinct cognitive and affective pathways. Optimism indirectly drives adoption by fostering trust, PU, and PEOU, whereas innovativeness directly increases intention while enhancing trust and PEOU. Conversely, inhibitor traits manifest differently: discomfort specifically reduces PEOU, whereas insecurity directly undermines trust. Discussion: The findings demonstrate that technology readiness influences FinTech adoption through distinct psychological pathways rather than as a uniform set of antecedents. The study thus provides a trait-to-state-to-intention explanation of how stable consumer predispositions shape FinTech adoption.

Indexed as

consumer psychologyFinTech adoptionTAMtechnology readinesstrust

Identifiers

PMID42707322
PMCPMC13547046

What OpenQuestion holds

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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.