Revolutioning E Commerce : How Live Shopping Shapes Consumer Impulse Buying in Indonesia

This study explores the determinants of impulse buying within Live Stream Shopping applications, examining the impact of Physical Characteristic Similarity, Value Similarity, Product Attributes, Parasocial Relationships, Product Fit, Trust, and Perceived Product Quality. This research adopts a quantitative approach with primary data sources. Data collection was conducted using a questionnaire. The sample consists of 421 consumers who have experienced live streaming shopping. Purposive sampling was employed to select the participants. Data analysis was performed using Structural Equation Modeling (SEM) with the assistance of Smart PLS statistical software. The results reveal that Physical Characteristic Similarity, Value Similarity, Product Attributes, Parasocial Relationships, and Trust significantly enhance Product Fit and Perceived Product Quality, which in turn drive Impulse Buying. This research underscores the importance of optimizing live stream shopping experiences to improve consumer satisfaction and highlights the growing role of live stream shopping in Indonesia's vibrant e-commerce landscape.

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Publication Details

Published
2025-05-15
DOI
https://doi.org/10.1109/iraset64571.2025.11008000
Primary Topic
SMEs Development and Digital Marketing
Type
article
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Revolutioning E Commerce : How Live Shopping Shapes Consumer Impulse Buying in Indonesia

Metya Kartikasary, Ivan Sangkereng, Lily Leonita, Christopher Joshua Leksana et al.
1 links
SMEs Development and Digital Marketing
article

Revolutioning E Commerce : How Live Shopping Shapes Consumer Impulse Buying in Indonesia

Metya Kartikasary, Ivan Sangkereng, Lily Leonita, Christopher Joshua Leksana, Faizal Reza Putra
article en

Abstract

This study explores the determinants of impulse buying within Live Stream Shopping applications, examining the impact of Physical Characteristic Similarity, Value Similarity, Product Attributes, Parasocial Relationships, Product Fit, Trust, and Perceived Product Quality. This research adopts a quantitative approach with primary data sources. Data collection was conducted using a questionnaire. The sample consists of 421 consumers who have experienced live streaming shopping. Purposive sampling was employed to select the participants. Data analysis was performed using Structural Equation Modeling (SEM) with the assistance of Smart PLS statistical software. The results reveal that Physical Characteristic Similarity, Value Similarity, Product Attributes, Parasocial Relationships, and Trust significantly enhance Product Fit and Perceived Product Quality, which in turn drive Impulse Buying. This research underscores the importance of optimizing live stream shopping experiences to improve consumer satisfaction and highlights the growing role of live stream shopping in Indonesia's vibrant e-commerce landscape.

Binus University (ID)
Decent work and economic growth
Openalex Percentile: Top 81%
SMEs Development and Digital Marketing
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