Cited by 56Digital Marketing and Social MediaConsumer Behavior in Brand Consumption and IdentificationConsumer Retail Behavior Studies

Internet Celebrities’ Impact on Luxury Fashion Impulse Buying

Open access
Chen, Mingliang, Xie, Zhaohan, Zhang, Jing, Li, Yingying·2021·Journal of Theoretical and Applied Electronic Commerce Research

Abstract

This study investigates how the endorsements of Internet celebrities (ICs) may drive consumer trust in their marketing campaigns, and subsequently affect impulse buying in relation to luxury fashion brands. Drawing on the framework of persuasion with a particular emphasis on the role of receivers, this study identifies five main characteristics, namely, the popularity of ICs, identification, IC adoration, social distance, and the perceived fit that may contribute to promoting impulse buying. A survey was conducted with 585 followers of IC in China. The findings reveal that trust is an essential factor that affects impulse buying. Identification and perceived fit both significantly contribute to increasing impulse buying through trust. Alternatively, large social distance may impair the relationship between trust and impulse buying. We conclude with implications for marketers that luxury fashion brands should seek cooperation not only with the most popular, but also with the most relevant ICs. An IC with a humble and relatable image can earn consumers’ trust and lead to an enhanced endorsement effect.

Integrity signals

Registry

Crossref · 10.3390/jtaer16060136

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Authors
Chen, M., Xie, Z., Zhang, J., & Li, Y.
Affiliations
Zhejiang University (CN)
Corresponding author
Xie, Zhaohan
Venue
Journal of Theoretical and Applied Electronic Commerce Research
Publisher
MDPI AG
Published
2021-09-19
Volume
16
Issue
6
Pages
2470-2489
ISSN
0718-1876 (ISSN-L)
OpenAlex
W3200457347
Cited by
56
References
7
Citations by year
2026: 4 · 2025: 11 · 2024: 17 · 2023: 14 · 2022: 9 · 2021: 1
FWCI
14.20
Type
journal article
Language
en
Open access
Locations
  • Journal of theoretical and applied electronic commerce research (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Natural Science Foundation of China (70671092, 70971116, 90924304)
Topics
  • Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior in Brand Consumption and Identification
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Retail Behavior Studies
Keywords
internet celebrities, luxury fashion, impulse buying, celebrity endorsement, consumer trust, persuasion, social distance, identification, perceived fit, celebrity popularity, influencer marketing

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