The Role of AI Influencers in Shaping Consumer Behavior: Analyzing Impulsive Buying through Perceived Value and Positive Emotional Appeal

This research aims to investigate the characteristics of AI Influencers, namely attractiveness, trustworthiness, and personalization of impulsive buying through perceived value and positive emotional appeal. To achieve this goal, the research approach used is a quantitative approach, with the data source being primary data. The data collection method uses a questionnaire distributed online. The number of samples in this research was 163, with the sampling technique being purposive sampling. The research results show that attractiveness has a significant effect on perceived value and positive emotional appeal, personalization influences perceived value and positive emotional appeal, perceived value influences impulsive buying, and positive emotional appeal has an effect on impulsive buying. Another result of this research is that trustworthiness has no effect on perceived value and positive emotional appeal.

Authors

Institutions

Publication Details

Published
2025-05-15
DOI
https://doi.org/10.1109/iraset64571.2025.11008301
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Role of AI Influencers in Shaping Consumer Behavior: Analyzing Impulsive Buying through Perceived Value and Positive Emotional Appeal

Stefanus Rumangkit, Lorio Purnomo, Siti Paramadita, Aloysius Bagas Pradipta Irianto
Impact of AI and Big Data on Business and Society
article

The Role of AI Influencers in Shaping Consumer Behavior: Analyzing Impulsive Buying through Perceived Value and Positive Emotional Appeal

Stefanus Rumangkit, Lorio Purnomo, Siti Paramadita, Aloysius Bagas Pradipta Irianto
article en

Abstract

This research aims to investigate the characteristics of AI Influencers, namely attractiveness, trustworthiness, and personalization of impulsive buying through perceived value and positive emotional appeal. To achieve this goal, the research approach used is a quantitative approach, with the data source being primary data. The data collection method uses a questionnaire distributed online. The number of samples in this research was 163, with the sampling technique being purposive sampling. The research results show that attractiveness has a significant effect on perceived value and positive emotional appeal, personalization influences perceived value and positive emotional appeal, perceived value influences impulsive buying, and positive emotional appeal has an effect on impulsive buying. Another result of this research is that trustworthiness has no effect on perceived value and positive emotional appeal.

Binus University (ID), Atma Jaya University Yogyakarta (ID)
Openalex Percentile: Top 87%
Impact of AI and Big Data on Business and Society
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.