Citation
Abstract
With the ever-growing popularity of live-streaming commerce, it is crucial for marketers to understand how live-streaming contributes to sales. While prior studies mainly focused on customer motivations for using live-streaming commerce, few studies, to date, elucidate consumers' decision-making process in this context. Addressing this gap, we adopt the Elaboration Likelihood Model (ELM) of persuasion to examine how live-streaming influences customers’ engagement and impulse buying behavior, as moderated by their deal proneness. To explore these issues, we analyzed data collected from 735 Millennials in China using partial least squares structural equation modeling (PLS-SEM). The findings show that factors characterizing the ELM-informed central (i.e., product information quality, streamer interaction quality, and streamer credibility) and peripheral (i.e., review consistency) routes exert positive effects on customer engagement and impulse buying. Moreover, deal proneness was found to moderate the relationship between engagement and impulse buying. The findings offer valuable insight for e-tailers seeking to encourage impulsive buying among millennial shoppers. Specifically, they highlight the role of central- and peripheral route factors in promoting customer engagement and impulsive buying, with the effect of customer engagement on impulsive buying being contingent on deal proneness-based differences among millennial shoppers.
Download File
Full text not available from this repository.
Official URL or Download Paper: https://linkinghub.elsevier.com/retrieve/pii/S0969...
|
Additional Metadata
Item Type: | Article |
---|---|
Divisions: | Faculty of Economics and Management |
DOI Number: | https://doi.org/10.1016/j.jretconser.2023.103644 |
Publisher: | Elsevier |
Keywords: | Live-streaming; Elaboration likelihood model; Customer engagement; Deal proneness; Impulse buying; PLS-SEM |
Depositing User: | Mohamad Jefri Mohamed Fauzi |
Date Deposited: | 15 May 2024 06:02 |
Last Modified: | 15 May 2024 06:02 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.jretconser.2023.103644 |
URI: | http://psasir.upm.edu.my/id/eprint/105636 |
Statistic Details: | View Download Statistic |
Actions (login required)
View Item |