Buy Now, Think Later: The Role of Behavioural Biases in Impulse Spending

ABSTRACT This study explores the relationships between present bias, emotional reactivity and perceived digital advertising exposure in relation to impulse spending behaviour. The aim is to examine how these psychological factors and marketing perceptions are associated with impulsive consumer purchases. Using a quantitative survey design, data were collected from 617 UK‐based consumers who reported their tendencies toward impulse spending, emotional responses and exposure to personalised ads. The findings indicate that present bias is significantly associated with impulse spending, whereas emotional reactivity strengthens this relationship. Furthermore, perceived digital advertising exposure is associated with the relationship between present bias and impulse spending, highlighting its potential to reinforce impulsive tendencies. On the basis of these findings, the study recommends that businesses adopt ethical marketing strategies that address consumers’ psychological vulnerabilities, such as promoting responsible consumption and financial education. For consumers, it suggests the importance of emotional regulation and awareness of cognitive biases. The study contributes to the understanding of impulse spending by integrating cognitive, emotional and environmental factors, providing insights for businesses, policymakers and consumers to better understand impulsive spending behaviours.

Authors

Institutions

Publication Details

Journal
International Social Science Journal
Published
2026-04-29
DOI
https://doi.org/10.1111/issj.70049
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Buy Now, Think Later: The Role of Behavioural Biases in Impulse Spending

Meryem Akin, Isik Akin
International Social Science Journal
Consumer Retail Behavior Studies
article

Buy Now, Think Later: The Role of Behavioural Biases in Impulse Spending

Meryem Akin, Isik Akin
article en

Abstract

ABSTRACT This study explores the relationships between present bias, emotional reactivity and perceived digital advertising exposure in relation to impulse spending behaviour. The aim is to examine how these psychological factors and marketing perceptions are associated with impulsive consumer purchases. Using a quantitative survey design, data were collected from 617 UK‐based consumers who reported their tendencies toward impulse spending, emotional responses and exposure to personalised ads. The findings indicate that present bias is significantly associated with impulse spending, whereas emotional reactivity strengthens this relationship. Furthermore, perceived digital advertising exposure is associated with the relationship between present bias and impulse spending, highlighting its potential to reinforce impulsive tendencies. On the basis of these findings, the study recommends that businesses adopt ethical marketing strategies that address consumers’ psychological vulnerabilities, such as promoting responsible consumption and financial education. For consumers, it suggests the importance of emotional regulation and awareness of cognitive biases. The study contributes to the understanding of impulse spending by integrating cognitive, emotional and environmental factors, providing insights for businesses, policymakers and consumers to better understand impulsive spending behaviours.

International Social Science Journal
Bath Spa University (GB)
Decent work and economic growth
Openalex Percentile: Top 9%
Consumer Retail Behavior Studies
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.