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How Real-Time Interactivity Influences Impulse Buying Behaviour in Generation Z’s During Live Streaming Shopping: The Mediating Role of Perceived Enjoyment

Open Access
|Sep 2024

Abstract

Live streaming is a new experience for customers to make online purchases because it is real-time, this has led to a surge in live shopping in e-commerce. The purpose of this study investigates the impulsive shopping behavior of Generation Z during live streaming, which is influenced by real-time interaction variables and bridged by stimulus, cognitive and emotional pleasure. The research method used a purposive sampling technique to collect 119 participants through an online survey. Data analysis was carried out using Smart-PLS software. The test results in this study state that real-time interactivity has a positive and significant effect on perceived enjoyment felt by consumers when watching live streaming shopping and perceived enjoyment has a positive - significant effect on consumer impulse buying behavior when live streaming. The indirect finding of the perceived enjoyment variable can bridge the gap in the relationship between real-time interactivity and impulse buying behavior. The contribution of this research provides an understanding of the impulsive buying behavior of the live-streaming shopping domain by increasing the interesting interaction through Stimulus Organism Response Theory. Business implications could focus on improving the quality of real-time interactions and promoting limited-time live-streaming intent using live streaming e-commerce platforms.

DOI: https://doi.org/10.2478/eoik-2024-0047 | Journal eISSN: 2303-5013 | Journal ISSN: 2303-5005
Language: English
Page range: 279 - 291
Submitted on: Jun 10, 2024
Accepted on: Sep 30, 2024
Published on: Sep 25, 2024
Published by: Oikos Institut d.o.o.
In partnership with: Paradigm Publishing Services
Publication frequency: 3 times per year

© 2024 Herning Indriastuti, Tetra Hidayati, Asnawati,, Dwi Martiyanti, Astried Rusty Febri Ayu, Lennora Putit, published by Oikos Institut d.o.o.
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.