Journal article
From stress to impulse buying: the perspective of informational conformity and competitive arousal in livestreaming e-commerce
Electronic commerce research
10/31/2025
DOI: 10.1007/s10660-025-10057-5
Abstract
Impulsive buying has become increasingly prevalent in livestreaming e-commerce. While existing research predominantly explains this phenomenon considering consumers’ positive responses to livestreaming, stress response mechanisms remain underexplored. To address this issue, this study adopts a context-attitude-behavior framework to investigate how five contextual stimuli (time pressure, perceived product scarcity, perceived product popularity, vicarious experience, and livestream audience involvement) affect impulsive buying through two distinct coping strategies under situational stress stimuli (informational conformity and competitive arousal). The proposed relationships were validated using 783 survey responses and a structural equation modeling-artificial neural network hybrid approach. It is found that impulse buying can be affected by competitive arousal and informational conformity, with the former being influenced by the five contextual stimuli and moderated by informational influence susceptibility and the latter being affected by time pressure and perceived product scarcity. These findings offer certain insights into impulsive buying from a stress response perspective and provide some actionable guidance for practice.
Details
- Title: Subtitle
- From stress to impulse buying: the perspective of informational conformity and competitive arousal in livestreaming e-commerce
- Creators
- Yundi Zhang - University of Science and Technology BeijingXiangbin Yan - University of Science and Technology BeijingTingting Zhang - University of Science and Technology BeijingWeiguo Fan - Department of Business Analytics, Tippie College of Business, University of Iowa, Iowa City, IA, United States
- Resource Type
- Journal article
- Publication Details
- Electronic commerce research
- DOI
- 10.1007/s10660-025-10057-5
- ISSN
- 1389-5753
- eISSN
- 1572-9362
- Publisher
- Springer Nature
- Grant note
- National Natural Science Foundation of China: 72025101, 72394372, 72401028
This work was supported by the National Natural Science Foundation of China [grant number 72025101, 72394372, 72401028].
- Language
- English
- Electronic publication date
- 10/31/2025
- Academic Unit
- Business Analytics
- Record Identifier
- 9985024138502771
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