Analysis of consumer impulsive buying behaviour towards usage of AI on E-commerce
Abstract
This study investigates the impact of artificial intelligence (AI) on consumers' impulsive purchasing behavior in e-commerce, focusing on AI-driven technologies like personalized recommendations, chatbots, and real-time offers. These innovations influence psychological triggers such as convenience, urgency, and emotional engagement, leading to impulse buys through mechanisms like reduced cognitive load and scarcity bias. Using a mixed-methods approach, the research explores how AI tools stimulate impulsive buying across various consumer demographics. Ethical concerns, including data privacy and consumer exploitation, are also addressed. The study aims to provide insights into AI's role in shaping impulsive behaviour’s offering recommendations for e-commerce platforms to balance consumer engagement with ethical marketing practices. Keywords: AI, E-commerce, Impulsive buying behavior, Data privacy, FOMO.
Fields of Study & Subjects
Consumer Retail Behavior Studies
AI in Service Interactions
Consumer Market Behavior and Pricing
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 10 January 2026