Evidence map›Paper›PMID 38665577›Full record

ArticleHeliyon2024

Exploring trust determinants influencing the intention to use fintech via SEM approach: Evidence from Pakistan.

Haifeng Zhao, Nosherwan Khaliq, Chunling Li, Faheem Ur Rehman, József Popp

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

5 authors.

Haifeng ZhaoSchool of Economics and Management, Tongji University, Shanghai, 200092, China.
Nosherwan KhaliqSchool of Economics and Management, Tongji University, Shanghai, 200092, China.
Chunling LiSchool of Economics and Management, Yanshan University, Qinhuangdao, 066004, China.
Faheem Ur RehmanIRC for Finance and Digital Economy, KFUPM Business School, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
József PoppJohn von Neumann University, Doctoral School of Management and Business Administration, 6000, Kecskemét, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many fintech consumers are hesitant to perform online transactions given the lack of trust in online companies. In response to this reality, we construct and evaluate a trust-theoretic user acceptability model for financial technologies. The research seeks to look at the influence of trust on the intention to use fintech. A sampling of potential users in Pakistan is used to validate the model experimentally. Smart PLS 3 has been used to robust the theorized configuration of constructs (structural equation modeling) based on 275 survey responses. Contrary to other scenarios, the findings indicate that "customer trust in fintech" is more important than other aspects in determining technology adoption. Pakistani consumers' intention is positively affected by trust. Trust facilitators influence consumers' trust; among them, trust propensity is the factor having high values, followed by perceived size, interaction with online customers, perceived benefit, third-party seal, perceived ease of use, and perceived reputation.

Indexed as

FintechIntentions to usePerceived trustSEM

Identifiers

PMID38665577
PMCPMC11044041

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.