Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Understanding Characteristics of Streamers on Consumers’ Impulse Buying Intention in Live Streaming

Bibliographic Data

ID6414104
AuthorsYuanyuan Dong (0009-0001-4555-7609, Management and Science University), Asad Ur Rehman (0000-0001-7623-2754, Management and Science University)
Year2025
Pages1-45
Publication date2025-08-06
Open AccessNo
TypeARTICLE
VenueAfrican and Asian Studies (JOURNAL)
Journal identifiersISSN: 1569-2094 • E-ISSN: 1569-2108
PublisherBrill (PUBLISHER • NL)
DOI10.1163/15692108-12341671
OpenAlexW4415099019
LanguageEN
References cited3

The characteristics of streamers in the live streaming commerce environment can influence consumers’ cognition, emotion, and behavior, thus stimulating their impulse buying. However, few studies consider the impact of streamer combined with flow experience and social presence on live streaming effect, and the differences in personal characteristics of consumers are also ignored. Therefore, based on the stimulus-organism-response ( SOR ) theory, this study constructs an influence mechanism conceptual framework of live streaming consumers’ impulse buying intention under the stimulation of streamer’s characteristics. Structural equation modeling was applied to 429 survey questionnaires to test our framework. Results indicate that both expertise and interactivity of streamers enhance customer flow experience and social presence. Furthermore, social presence improves customers’ flow experience significantly. Meanwhile, Streamers’ interactivity and expertise indirectly boost impulse buying intentions through improved flow experience and social presence, but attractiveness does not influence these results

Consumer Perception and Purchasing Behavior · Consumer Retail Behavior Studies · Technology Adoption and User Behaviour

  • Contemporary Sociology

    Joseph S Roucek•Contemporary Sociology•1958

  • Warmth and Competence as Universal Dimensions of Social Perception

    Amy J C Cuddy, Susan T Fiske et al.•Advances in Experimental Social…•2008

Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae