Evidence map›Paper›PMID 37883388›Full record

ArticlePloS one2023

Age-dependent differences in using FinTech products and services-Young customers versus other adults.

Dorota Krupa, Michał Buszko

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
6.4field-weighted citation impact, top 3% of its field
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

2 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Dorota KrupaDepartment of Financial Management, Nicolaus Copernicus University in Torun, Torun, Poland.ORCID 0000-0001-9765-6871
Michał BuszkoDepartment of Financial Management, Nicolaus Copernicus University in Torun, Torun, Poland.
Nicolaus Copernicus University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this paper was to identify and evaluate differences in the attitudes to using FinTech products and services in Poland adopted by two study cohorts-one comprised of young customers, born no earlier than in 1990, and the other comprised of other adults. The main motivation for our research was to answer the question if young people growing up in the market economy will behave differently in the use of FinTech than older generations living in the former political and economic system. We also wanted to find the factors that determine the perception and willingness to use FinTech in the mentioned age groups. The data discussed in the paper were provided by the CAWI survey that was conducted in 2020 and covered a sample of 1,153 adult Poles. To achieve our goal, we used nonparametric statistical testing and the backward stepwise logistic regression models. The research demonstrated that young customers showed considerably more interest in all the aspects of the use of FinTech within the framework of our study than the other adults. Regarding the experience of using FinTech, such determinants as the male gender, the larger household in which a given respondent lives, and the possibility of making financial decisions independently exerted more impact on the young customers cohort than on the other adults. Irrespective of their opinion about FinTech, the persons under 30 years of age are more likely to use FinTech beyond average than the other adults whereas the persons over 30 years of age will do so only if they evaluate FinTech very well.

Indexed as

Surveys and QuestionnairesAdolescentAdultHumansMalePoland

Identifiers

PMID37883388
PMCPMC10602263
OpenAlexW4387952561

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.