Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 266

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Perceived risk, usage frequency of mobile banking services

Chen, ChauShen·2013·Managing Service Quality: An International Journal

Abstract

Purpose: This study discusses the effects of diffusion and adopters of mobile banking services (MBSs), perceived risk, brand awareness, and brand image of MBS providers, on attitude toward using MBSs, and on intention to use MBSs. In accordance with sample usage frequency in MBSs, this study subgroups the sample population into several behavioral segments (frequent/infrequent users) to concentrate sample characteristics and the behavioral models. Design/methodology/approach: Data from the 610 valid questionnaires collected in Taiwan were analyzed by SPSS and LISREL. In accordance with sample usage frequency in MBSs, this study subgroups the sample population into several behavioral segments (frequent/infrequent users) to concentrate sample characteristics and the behavioral models. Findings: Analytical results demonstrate that mobile banking users with different behavioral patterns have dissimilar perceptions of innovation benefits and risk. Moreover, brand awareness and brand image of the MBSs provider are crucial exogenous factors associated with attitude and intention to use MBSs. Finally, this study presents several suggestions for researchers, bankers, and marketers. Originality/value: This study examined MBSs in Taiwan, with an enhanced investigation model includes diffusion of innovation, TPA, second‐order risk sub‐dimensions, and brand effects on attitude and intention. The contributions of this study includes: this is the first study that incorporate brand awareness, and brand image in discussing mobile banking adoption behavior; meanwhile, this study incorporate a five factors risk structure, discussing perceived risk detailed in financial risk, performance risk, time risk, psychological risk, and privacy risk. Furthermore, this study is the first study that has differentiated between different consumer types: frequent and infrequent users. The findings of this study is practical in providing MBS for bankers.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1108/msq-10-2012-0137

Cites

15 of 15 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 15 references

Cited by

See all 266

Metadata

Authors
Chen, C.
Venue
Managing Service Quality: An International Journal
Publisher
Emerald
Published
2013-08-29
Volume
23
Issue
5
Pages
410-436
ISSN
0960-4529 (ISSN-L)
OpenAlex
W2059573950
Cited by
266
References
15
FWCI
28.13
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Perceived risk, usage frequency of mobile banking services. https://app.cochat.ai/papers/10.1108/msq-10-2012-0137
The paper
Chen, C. (2013). Perceived risk, usage frequency of mobile banking services. Managing Service Quality: An International Journal. https://doi.org/10.1108/msq-10-2012-0137

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.