Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 373

The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.

Cognitive, affective, and behavioral consumer responses to augmented reality in e-commerce: A comparative study

Kowalczuk, Pascal, Siepmann (née Scheiben), Carolin, Adler, Jost·2021·Journal of Business Research

Abstract

Abstract This study explores the relative advantage of augmented reality (AR) over web-based product presentations. We develop a consumer response model and compare consumers’ reactions to the IKEA Place app and IKEA mobile website on smartphones. The results reveal that AR outperforms web-based product presentations by generating greater immersion and enjoyment, whereas the opposite is true for media usefulness. The findings further show that behavioral responses (reuse and purchase intention) are formed by affective (immersion, enjoyment, product liking) and cognitive (media usefulness, choice confidence) responses to the AR characteristics (interactivity, system quality, product informativeness, reality congruence). Since the reuse intentions of AR apps result from enjoyment and usefulness, retailers should improve system quality, product informativeness, and reality congruence to enhance media usefulness and interactivity to increase enjoyment. To achieve high purchase intentions, they should also increase interactivity, as it boosts product liking and in turn ensures confidence about the chosen products.

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 · 10.1016/j.jbusres.2020.10.050

Cites

102 of 102 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 102 references

Cited by

See all 373

Metadata

Authors
Kowalczuk, P., Siepmann (née Scheiben), C., & Adler, J.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2021-01
Volume
124
Pages
357-373
ISSN
0148-2963 (ISSN-L)
OpenAlex
W3097687140
Cited by
373
References
102
FWCI
12.66
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: Cognitive, affective, and behavioral consumer responses to augmented reality in e-commerce: A comparative study. https://app.cochat.ai/papers/10.1016/j.jbusres.2020.10.050
The paper
Kowalczuk, P., Siepmann (née Scheiben), C., & Adler, J. (2021). Cognitive, affective, and behavioral consumer responses to augmented reality in e-commerce: A comparative study. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2020.10.050

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.