Cited by 249Digital Marketing and Social MediaTechnology Adoption and User BehaviourConsumer Behavior and Marketing Influence

Online purchase intention in Chinese social commerce platforms: Being emotional or rational?

Akram, Umair, Junaid, Muhammad, Zafar, Abaid Ullah, Li, Zhiwen, Fan, Mingyue·2021·Journal of Retailing and Consumer Services

Integrity signals

Registry

Crossref · 10.1016/j.jretconser.2021.102669

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

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Claims other papers make about this one

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Cites

Flagged first, then by citations

Authors
Akram, U., Junaid, M., Zafar, A. U., Li, Z., & Fan, M.
Affiliations
  • Jiangsu University (CN)
  • COMSATS University Islamabad (PK)
  • Shenzhen University (CN)
Corresponding author
  • Akram, Umair
  • Li, Zhiwen
Venue
Journal of Retailing and Consumer Services
Publisher
Elsevier BV
Published
2021-11
Volume
63
Pages
102669
ISSN
0969-6989 (ISSN-L)
OpenAlex
W3184909110
Cited by
249
References
14
Citations by year
2026: 28 · 2025: 46 · 2024: 63 · 2023: 59 · 2022: 48 · 2021: 5
FWCI
60.63
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Retailing and Consumer Services (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
Keywords
online purchase intention, social commerce, hedonic motivation, utilitarian motivation, social learning theory, electronic word of mouth, social values, customer engagement, Chinese consumers

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.

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