Evidence map›Paper›PMID 35206548›Full record

ArticleInternational journal of environmental research and public health2022

Measuring User-Perceived Characteristics for Banking Services: Proposing a Methodology.

Olga Vl Bitkina, Jaehyun Park, Hyun K Kim

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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

3 authors.

Olga Vl BitkinaDepartment of Industrial and Management Engineering, Incheon National University (INU), Academy-ro 119, Incheon 22012, Korea.
Jaehyun ParkDepartment of Industrial and Management Engineering, Incheon National University (INU), Academy-ro 119, Incheon 22012, Korea.ORCID 0000-0002-5264-6941
Hyun K KimSchool of Information Convergence, Kwangwoon University, Kwangwoon-ro 20, Seoul 01897, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the continuous technological enhancement of banking services, customers can avail of better, more secure services which present improved opportunities and convenience. Of the many methods available to perform banking operations, customers commonly use traditional banking, online banking, and mobile banking. Each of these existing methods has advantages and limitations that affect customer experience, trust, satisfaction, and continued intention to use such services. In this study, an attempt was made to develop and fit a model to evaluate and measure the effect of perceived characteristics on banking services. To this end, a questionnaire was administered to 91 participants in Korea to investigate their experiences in the three types of services: offline banking (traditional banking), online banking, and automated teller machines (ATM). The factor design for evaluating the user experience through the perceived characteristics of the banking system was performed by conducting exploratory and confirmatory factor analyses. The proposed model exhibited validity and reliability to evaluate the user experience in the banking system. The results obtained can help banking specialists and professionals increase the level of customers' trust, loyalty, and intention to use their services.

Indexed as

IntentionTrustFactor Analysis, StatisticalHumansReproducibility of ResultsSurveys and Questionnairesbanking servicesperceived convenienceperceived ease of useperceived securityperceived trustperceived usefulnessuser experience

Identifiers

PMID35206548
PMCPMC8872539

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.