Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 268

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

The role of storytelling in advertising: Consumer emotion, narrative engagement level, and word‐of‐mouth intention

Kang, Jin‐Ae, Hong, Sookyeong, Hubbard, Glenn T.·2020·Journal of Consumer Behaviour

Abstract

This experimental study with a national online sample (n = 300) tested the effects of storytelling in radio advertisements on participants' positive emotional responses and intentions to share information about the product, depending on audiences' narrative engagement level. Treatments included a commercial for a fictitious brand of luggage using a story told by the founder of the company, another version of the same commercial manipulated so the speaker was a customer of the company, and a control stimulus consisting only of information about the product. Results showed that narrative transportation and narrative preference are positively associated with favorable responses toward ad. Stories elicited more favorable emotional responses and had some effect on participants' intention to share information about the product by word‐of‐mouth. This was especially true among participants hearing the founder's story. Results support previous assumptions about the power of storytelling in advertising, including distinctions regarding the identity of the speaker (founder vs. customer).

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 · 10.1002/cb.1793

Cites

44 of 44 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

Metadata

Authors
Kang, J., Hong, S., & Hubbard, G. T.
Venue
Journal of Consumer Behaviour
Publisher
Wiley
Published
2020-01
Volume
19
Issue
1
Pages
47-56
ISSN
  • 1472-0817 (ISSN-L)
  • 1479-1838
OpenAlex
W3000745483
Cited by
268
References
44
FWCI
262.72
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

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.