Cited by 141Psychological Well-being and Life SatisfactionEmotions and Moral BehaviorAesthetic Perception and Analysis

Awe and prosocial tendency

Guan, Fang, Chen, Jun, Chen, Outong, Liu, Lihong, Zha, Yuzhu·2019·Current Psychology

Integrity signals

Registry

Crossref · 10.1007/s12144-019-00244-7

Cites

43 of 43 references verified0 citation errors · 0 not checkable

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  • Positive institutional emotions directed toward law and justice systems can enhance motivation to comply with social norms and heighten concern for others' welfare, which in turn facilitates altruistic and rule-abiding behavior.

    “In a similar vein, positive institutional emotions directed toward law and justice systems can enhance motivation to comply with social norms and heighten concern for others’ welfare, which in turn facilitates altruistic and rule-abiding behavior (Y. N. Fu et al., 2022; Guan et al., 2019).”

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Authors
Guan, F., Chen, J., Chen, O., Liu, L., & Zha, Y.
Affiliations
  • South China Normal University (CN)
  • Guangdong University of Foreign Studies (CN)
Corresponding author
Chen, Jun
Venue
Current Psychology
Published
2019-04-19
Volume
38
Issue
4
Pages
1033-1041
ISSN
  • 1046-1310 (ISSN-L)
  • 1936-4733
OpenAlex
W2936357337
Cited by
141
References
43
Citations by year
2026: 23 · 2025: 21 · 2024: 24 · 2023: 33 · 2022: 18 · 2021: 12 · 2020: 9 · 2019: 1
FWCI
12.57
Type
journal article
Language
en
Open access
closed
Locations
Current Psychology (publishedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Psychological Well-being and Life Satisfaction
  • Social Sciences › Psychology › Social Psychology › Emotions and Moral Behavior
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Aesthetic Perception and Analysis
Keywords
awe, dispositional awe, prosocial behavior, prosocial tendencies, emotion induction, charitable giving, volunteering, Chinese university students

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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.

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