
doi: 10.1111/ijcs.70055
ABSTRACTImpulsive buying behavior plays a crucial role in determining the success of live‐streaming commerce (LSC). Despite the widespread popularity of LSC, there exist two notable gaps. The primary aim of this study is to close the gaps by examining how social environmental stimuli trigger unplanned purchases using the Stimulus‐Organism‐Response (S‐O‐R) model. Additionally, this study explores how gender moderates the relationships among social environmental stimuli, customer engagement, and impulsive buying tendencies in the LSC. The research analyzed data collected from 735 Millennial live‐streaming shoppers, utilizing the partial least squares‐structural equation modeling (PLS‐SEM) method. The obtained findings indicate that streamer interaction quality and streamer credibility significantly affect information quality and customer engagement, ultimately influencing impulsive purchases. Furthermore, the multiple groups analysis suggests distinct roles for both males and females within these relationships. This research contributes to the fields of retailing and customer behavior, providing practical insights for professionals seeking effective strategies to encourage impulsive buying among customers in the LSC environment.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
