Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 215

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Customer satisfaction factors of mobile commerce in Korea

Choi, Jeewon, Seol, Hyeonjoo, Lee, Sungjoo, Cho, Hyunmyung, Park, Yongtae·2008·Internet Research

Abstract

Purpose: The purpose of the paper is to distinguish features of m‐commerce from those of e‐commerce and identify factors to influence customer satisfaction (m‐satisfaction) and loyalty (m‐loyalty) in m‐commerce by empirically‐based case study. Design/methodology/approach: First, based on previous literature, the paper builds sets of customer satisfaction factors for both e‐commerce and m‐commerce. Second, features of m‐commerce are identified by comparing it with current e‐commerce through decision tree (DT). Third, with the derived factors from DT, significant factors and relationships among the factors, m‐satisfaction and m‐loyalty are examined by m‐satisfaction model employing structural equation model. Findings: The paper finds that m‐commerce is partially similar in factors like “transaction process” and “customization” which lead customer satisfaction after connecting an m‐commerce site, but it has unique aspects of “content reliability”, “availability”, and “perceived price level of mobile Internet (m‐Internet)” which build customer's intention to the m‐commerce site. Through the m‐satisfaction model, “content reliability”, and “transaction process” are proven to be significantly influential factors to m‐satisfaction and m‐loyalty. Research implications/limitations: The paper can be a meaningful step to provide empirical analysis and evaluation based on questionnaire survey targeting actual users. The research is based on a case study on digital music transaction, which is indicative, rather than general. Practical implications: The paper meets the needs to focus on customer under the fiercer competition in Korean m‐commerce market. It can guide those who want to initiate, move or broaden their business to m‐commerce from e‐commerce. Originality/value: The paper develops a revised ACSI model to identify individual critical factors and the degree of effect.

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 · 10.1108/10662240810883335

Cites

1 of 1 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 1 references

Cited by

See all 215

Metadata

Authors
Choi, J., Seol, H., Lee, S., Cho, H., & Park, Y.
Venue
Internet Research
Publisher
Emerald
Published
2008-06-06
Volume
18
Issue
3
Pages
313-335
ISSN
1066-2243 (ISSN-L)
OpenAlex
W1965236027
Cited by
215
References
1
FWCI
19.51
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: Customer satisfaction factors of mobile commerce in Korea. https://app.cochat.ai/papers/10.1108/10662240810883335
The paper
Choi, J., Seol, H., Lee, S., Cho, H., & Park, Y. (2008). Customer satisfaction factors of mobile commerce in Korea. Internet Research. https://doi.org/10.1108/10662240810883335

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.